INFO 2019-11-27 02:11:13,670Z lrauvNc4ToNetcdf.py processResampleNc4File():979 Reading /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4 file...
INFO 2019-11-27 02:11:13,671Z lrauvNc4ToNetcdf.py processResampleNc4File():980 After copying to /tmp/201911260615_201911261508.nc4
INFO 2019-11-27 02:11:14,861Z lrauvNc4ToNetcdf.py processResampleNc4File():982 Read file /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
INFO 2019-11-27 02:11:14,893Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [78969 78970 78971 78972 78973 78974 78975 78976 78977 78978 78979 78980
 78981 78982 78983 78984 78985 78986 78987 78988 78989 78990 78991 78992
 78993 78994 78995 78996 78997 78998 78999 79000 79001 79002 79003 79004
 79005 79006 79007 79008 79009 79010 79011 79012 79013 79014 79015 79016
 79017 79018 79019 79020 79021 79022 79023 79024 79025 79026 79027 79028
 79029 79030 79031 79032 79033 79034 79035 79036 79037 79038 79039 79040
 79041 79042 79043 79044 79045 79046 79047 79048 79049 79050 79051 79052
 79053 79054 79055 79056 79057 79058 79059 79060 79061 79062 79063 79064
 79065 79066 79067 79068 79069 79070 79071 79072 79073 79074 79075 79076
 79077 79078 79079 79080 79081 79082]
INFO 2019-11-27 02:11:14,904Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019']
INFO 2019-11-27 02:11:14,915Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478093e+09
 1.57478093e+09 1.57478093e+09] for variable latitude
INFO 2019-11-27 02:11:15,876Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [78969 78970 78971 78972 78973 78974 78975 78976 78977 78978 78979 78980
 78981 78982 78983 78984 78985 78986 78987 78988 78989 78990 78991 78992
 78993 78994 78995 78996 78997 78998 78999 79000 79001 79002 79003 79004
 79005 79006 79007 79008 79009 79010 79011 79012 79013 79014 79015 79016
 79017 79018 79019 79020 79021 79022 79023 79024 79025 79026 79027 79028
 79029 79030 79031 79032 79033 79034 79035 79036 79037 79038 79039 79040
 79041 79042 79043 79044 79045 79046 79047 79048 79049 79050 79051 79052
 79053 79054 79055 79056 79057 79058 79059 79060 79061 79062 79063 79064
 79065 79066 79067 79068 79069 79070 79071 79072 79073 79074 79075 79076
 79077 79078 79079 79080 79081 79082]
INFO 2019-11-27 02:11:15,888Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019']
INFO 2019-11-27 02:11:15,898Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478093e+09
 1.57478093e+09 1.57478093e+09] for variable longitude
INFO 2019-11-27 02:11:16,851Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [78969 78970 78971 78972 78973 78974 78975 78976 78977 78978 78979 78980
 78981 78982 78983 78984 78985 78986 78987 78988 78989 78990 78991 78992
 78993 78994 78995 78996 78997 78998 78999 79000 79001 79002 79003 79004
 79005 79006 79007 79008 79009 79010 79011 79012 79013 79014 79015 79016
 79017 79018 79019 79020 79021 79022 79023 79024 79025 79026 79027 79028
 79029 79030 79031 79032 79033 79034 79035 79036 79037 79038 79039 79040
 79041 79042 79043 79044 79045 79046 79047 79048 79049 79050 79051 79052
 79053 79054 79055 79056 79057 79058 79059 79060 79061 79062 79063 79064
 79065 79066 79067 79068 79069 79070 79071 79072 79073 79074 79075 79076
 79077 79078 79079 79080 79081 79082]
INFO 2019-11-27 02:11:16,862Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019']
INFO 2019-11-27 02:11:16,872Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478093e+09
 1.57478093e+09 1.57478093e+09] for variable depth
INFO 2019-11-27 02:11:17,818Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [78969 78970 78971 78972 78973 78974 78975 78976 78977 78978 78979 78980
 78981 78982 78983 78984 78985 78986 78987 78988 78989 78990 78991 78992
 78993 78994 78995 78996 78997 78998 78999 79000 79001 79002 79003 79004
 79005 79006 79007 79008 79009 79010 79011 79012 79013 79014 79015 79016
 79017 79018 79019 79020 79021 79022 79023 79024 79025 79026 79027 79028
 79029 79030 79031 79032 79033 79034 79035 79036 79037 79038 79039 79040
 79041 79042 79043 79044 79045 79046 79047 79048 79049 79050 79051 79052
 79053 79054 79055 79056 79057 79058 79059 79060 79061 79062 79063 79064
 79065 79066 79067 79068 79069 79070 79071 79072 79073 79074 79075 79076
 79077 79078 79079 79080 79081 79082]
INFO 2019-11-27 02:11:17,831Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019']
INFO 2019-11-27 02:11:17,841Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478093e+09
 1.57478093e+09 1.57478093e+09] for variable time
INFO 2019-11-27 02:11:18,786Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [78969 78970 78971 78972 78973 78974 78975 78976 78977 78978 78979 78980
 78981 78982 78983 78984 78985 78986 78987 78988 78989 78990 78991 78992
 78993 78994 78995 78996 78997 78998 78999 79000 79001 79002 79003 79004
 79005 79006 79007 79008 79009 79010 79011 79012 79013 79014 79015 79016
 79017 79018 79019 79020 79021 79022 79023 79024 79025 79026 79027 79028
 79029 79030 79031 79032 79033 79034 79035 79036 79037 79038 79039 79040
 79041 79042 79043 79044 79045 79046 79047 79048 79049 79050 79051 79052
 79053 79054 79055 79056 79057 79058 79059 79060 79061 79062 79063 79064
 79065 79066 79067 79068 79069 79070 79071 79072 79073 79074 79075 79076
 79077 79078 79079 79080 79081 79082]
INFO 2019-11-27 02:11:18,798Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019']
INFO 2019-11-27 02:11:18,808Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478093e+09
 1.57478093e+09 1.57478093e+09] for variable latitude
INFO 2019-11-27 02:11:19,750Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [78969 78970 78971 78972 78973 78974 78975 78976 78977 78978 78979 78980
 78981 78982 78983 78984 78985 78986 78987 78988 78989 78990 78991 78992
 78993 78994 78995 78996 78997 78998 78999 79000 79001 79002 79003 79004
 79005 79006 79007 79008 79009 79010 79011 79012 79013 79014 79015 79016
 79017 79018 79019 79020 79021 79022 79023 79024 79025 79026 79027 79028
 79029 79030 79031 79032 79033 79034 79035 79036 79037 79038 79039 79040
 79041 79042 79043 79044 79045 79046 79047 79048 79049 79050 79051 79052
 79053 79054 79055 79056 79057 79058 79059 79060 79061 79062 79063 79064
 79065 79066 79067 79068 79069 79070 79071 79072 79073 79074 79075 79076
 79077 79078 79079 79080 79081 79082]
INFO 2019-11-27 02:11:19,762Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019']
INFO 2019-11-27 02:11:19,772Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478093e+09
 1.57478093e+09 1.57478093e+09] for variable longitude
INFO 2019-11-27 02:11:20,717Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [78969 78970 78971 78972 78973 78974 78975 78976 78977 78978 78979 78980
 78981 78982 78983 78984 78985 78986 78987 78988 78989 78990 78991 78992
 78993 78994 78995 78996 78997 78998 78999 79000 79001 79002 79003 79004
 79005 79006 79007 79008 79009 79010 79011 79012 79013 79014 79015 79016
 79017 79018 79019 79020 79021 79022 79023 79024 79025 79026 79027 79028
 79029 79030 79031 79032 79033 79034 79035 79036 79037 79038 79039 79040
 79041 79042 79043 79044 79045 79046 79047 79048 79049 79050 79051 79052
 79053 79054 79055 79056 79057 79058 79059 79060 79061 79062 79063 79064
 79065 79066 79067 79068 79069 79070 79071 79072 79073 79074 79075 79076
 79077 79078 79079 79080 79081 79082]
INFO 2019-11-27 02:11:20,729Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019']
INFO 2019-11-27 02:11:20,739Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478093e+09
 1.57478093e+09 1.57478093e+09] for variable depth
INFO 2019-11-27 02:11:21,681Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [78969 78970 78971 78972 78973 78974 78975 78976 78977 78978 78979 78980
 78981 78982 78983 78984 78985 78986 78987 78988 78989 78990 78991 78992
 78993 78994 78995 78996 78997 78998 78999 79000 79001 79002 79003 79004
 79005 79006 79007 79008 79009 79010 79011 79012 79013 79014 79015 79016
 79017 79018 79019 79020 79021 79022 79023 79024 79025 79026 79027 79028
 79029 79030 79031 79032 79033 79034 79035 79036 79037 79038 79039 79040
 79041 79042 79043 79044 79045 79046 79047 79048 79049 79050 79051 79052
 79053 79054 79055 79056 79057 79058 79059 79060 79061 79062 79063 79064
 79065 79066 79067 79068 79069 79070 79071 79072 79073 79074 79075 79076
 79077 79078 79079 79080 79081 79082]
INFO 2019-11-27 02:11:21,692Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019']
INFO 2019-11-27 02:11:21,703Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478093e+09
 1.57478093e+09 1.57478093e+09] for variable time
INFO 2019-11-27 02:11:22,633Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [78969 78970 78971 78972 78973 78974 78975 78976 78977 78978 78979 78980
 78981 78982 78983 78984 78985 78986 78987 78988 78989 78990 78991 78992
 78993 78994 78995 78996 78997 78998 78999 79000 79001 79002 79003 79004
 79005 79006 79007 79008 79009 79010 79011 79012 79013 79014 79015 79016
 79017 79018 79019 79020 79021 79022 79023 79024 79025 79026 79027 79028
 79029 79030 79031 79032 79033 79034 79035 79036 79037 79038 79039 79040
 79041 79042 79043 79044 79045 79046 79047 79048 79049 79050 79051 79052
 79053 79054 79055 79056 79057 79058 79059 79060 79061 79062 79063 79064
 79065 79066 79067 79068 79069 79070 79071 79072 79073 79074 79075 79076
 79077 79078 79079 79080 79081 79082]
INFO 2019-11-27 02:11:22,645Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019']
INFO 2019-11-27 02:11:22,655Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478093e+09
 1.57478093e+09 1.57478093e+09] for variable latitude
INFO 2019-11-27 02:11:23,592Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [78969 78970 78971 78972 78973 78974 78975 78976 78977 78978 78979 78980
 78981 78982 78983 78984 78985 78986 78987 78988 78989 78990 78991 78992
 78993 78994 78995 78996 78997 78998 78999 79000 79001 79002 79003 79004
 79005 79006 79007 79008 79009 79010 79011 79012 79013 79014 79015 79016
 79017 79018 79019 79020 79021 79022 79023 79024 79025 79026 79027 79028
 79029 79030 79031 79032 79033 79034 79035 79036 79037 79038 79039 79040
 79041 79042 79043 79044 79045 79046 79047 79048 79049 79050 79051 79052
 79053 79054 79055 79056 79057 79058 79059 79060 79061 79062 79063 79064
 79065 79066 79067 79068 79069 79070 79071 79072 79073 79074 79075 79076
 79077 79078 79079 79080 79081 79082]
INFO 2019-11-27 02:11:23,603Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019']
INFO 2019-11-27 02:11:23,614Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478093e+09
 1.57478093e+09 1.57478093e+09] for variable longitude
INFO 2019-11-27 02:11:24,546Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [78969 78970 78971 78972 78973 78974 78975 78976 78977 78978 78979 78980
 78981 78982 78983 78984 78985 78986 78987 78988 78989 78990 78991 78992
 78993 78994 78995 78996 78997 78998 78999 79000 79001 79002 79003 79004
 79005 79006 79007 79008 79009 79010 79011 79012 79013 79014 79015 79016
 79017 79018 79019 79020 79021 79022 79023 79024 79025 79026 79027 79028
 79029 79030 79031 79032 79033 79034 79035 79036 79037 79038 79039 79040
 79041 79042 79043 79044 79045 79046 79047 79048 79049 79050 79051 79052
 79053 79054 79055 79056 79057 79058 79059 79060 79061 79062 79063 79064
 79065 79066 79067 79068 79069 79070 79071 79072 79073 79074 79075 79076
 79077 79078 79079 79080 79081 79082]
INFO 2019-11-27 02:11:24,558Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019']
INFO 2019-11-27 02:11:24,568Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478093e+09
 1.57478093e+09 1.57478093e+09] for variable depth
INFO 2019-11-27 02:11:25,513Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [78969 78970 78971 78972 78973 78974 78975 78976 78977 78978 78979 78980
 78981 78982 78983 78984 78985 78986 78987 78988 78989 78990 78991 78992
 78993 78994 78995 78996 78997 78998 78999 79000 79001 79002 79003 79004
 79005 79006 79007 79008 79009 79010 79011 79012 79013 79014 79015 79016
 79017 79018 79019 79020 79021 79022 79023 79024 79025 79026 79027 79028
 79029 79030 79031 79032 79033 79034 79035 79036 79037 79038 79039 79040
 79041 79042 79043 79044 79045 79046 79047 79048 79049 79050 79051 79052
 79053 79054 79055 79056 79057 79058 79059 79060 79061 79062 79063 79064
 79065 79066 79067 79068 79069 79070 79071 79072 79073 79074 79075 79076
 79077 79078 79079 79080 79081 79082]
INFO 2019-11-27 02:11:25,525Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019']
INFO 2019-11-27 02:11:25,536Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478093e+09
 1.57478093e+09 1.57478093e+09] for variable time
INFO 2019-11-27 02:11:26,471Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [78969 78970 78971 78972 78973 78974 78975 78976 78977 78978 78979 78980
 78981 78982 78983 78984 78985 78986 78987 78988 78989 78990 78991 78992
 78993 78994 78995 78996 78997 78998 78999 79000 79001 79002 79003 79004
 79005 79006 79007 79008 79009 79010 79011 79012 79013 79014 79015 79016
 79017 79018 79019 79020 79021 79022 79023 79024 79025 79026 79027 79028
 79029 79030 79031 79032 79033 79034 79035 79036 79037 79038 79039 79040
 79041 79042 79043 79044 79045 79046 79047 79048 79049 79050 79051 79052
 79053 79054 79055 79056 79057 79058 79059 79060 79061 79062 79063 79064
 79065 79066 79067 79068 79069 79070 79071 79072 79073 79074 79075 79076
 79077 79078 79079 79080 79081 79082]
INFO 2019-11-27 02:11:26,483Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019']
INFO 2019-11-27 02:11:26,493Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478093e+09
 1.57478093e+09 1.57478093e+09] for variable latitude
INFO 2019-11-27 02:11:27,443Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [78969 78970 78971 78972 78973 78974 78975 78976 78977 78978 78979 78980
 78981 78982 78983 78984 78985 78986 78987 78988 78989 78990 78991 78992
 78993 78994 78995 78996 78997 78998 78999 79000 79001 79002 79003 79004
 79005 79006 79007 79008 79009 79010 79011 79012 79013 79014 79015 79016
 79017 79018 79019 79020 79021 79022 79023 79024 79025 79026 79027 79028
 79029 79030 79031 79032 79033 79034 79035 79036 79037 79038 79039 79040
 79041 79042 79043 79044 79045 79046 79047 79048 79049 79050 79051 79052
 79053 79054 79055 79056 79057 79058 79059 79060 79061 79062 79063 79064
 79065 79066 79067 79068 79069 79070 79071 79072 79073 79074 79075 79076
 79077 79078 79079 79080 79081 79082]
INFO 2019-11-27 02:11:27,456Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019']
INFO 2019-11-27 02:11:27,466Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478093e+09
 1.57478093e+09 1.57478093e+09] for variable longitude
INFO 2019-11-27 02:11:28,413Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [78969 78970 78971 78972 78973 78974 78975 78976 78977 78978 78979 78980
 78981 78982 78983 78984 78985 78986 78987 78988 78989 78990 78991 78992
 78993 78994 78995 78996 78997 78998 78999 79000 79001 79002 79003 79004
 79005 79006 79007 79008 79009 79010 79011 79012 79013 79014 79015 79016
 79017 79018 79019 79020 79021 79022 79023 79024 79025 79026 79027 79028
 79029 79030 79031 79032 79033 79034 79035 79036 79037 79038 79039 79040
 79041 79042 79043 79044 79045 79046 79047 79048 79049 79050 79051 79052
 79053 79054 79055 79056 79057 79058 79059 79060 79061 79062 79063 79064
 79065 79066 79067 79068 79069 79070 79071 79072 79073 79074 79075 79076
 79077 79078 79079 79080 79081 79082]
INFO 2019-11-27 02:11:28,425Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019']
INFO 2019-11-27 02:11:28,435Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478093e+09
 1.57478093e+09 1.57478093e+09] for variable depth
INFO 2019-11-27 02:11:29,372Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [78969 78970 78971 78972 78973 78974 78975 78976 78977 78978 78979 78980
 78981 78982 78983 78984 78985 78986 78987 78988 78989 78990 78991 78992
 78993 78994 78995 78996 78997 78998 78999 79000 79001 79002 79003 79004
 79005 79006 79007 79008 79009 79010 79011 79012 79013 79014 79015 79016
 79017 79018 79019 79020 79021 79022 79023 79024 79025 79026 79027 79028
 79029 79030 79031 79032 79033 79034 79035 79036 79037 79038 79039 79040
 79041 79042 79043 79044 79045 79046 79047 79048 79049 79050 79051 79052
 79053 79054 79055 79056 79057 79058 79059 79060 79061 79062 79063 79064
 79065 79066 79067 79068 79069 79070 79071 79072 79073 79074 79075 79076
 79077 79078 79079 79080 79081 79082]
INFO 2019-11-27 02:11:29,383Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019']
INFO 2019-11-27 02:11:29,394Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478093e+09
 1.57478093e+09 1.57478093e+09] for variable time
INFO 2019-11-27 02:11:30,314Z lrauvNc4ToNetcdf.py processResampleNc4File():987 Creating t variable of the time indexes
WARNING 2019-11-27 02:11:30,334Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mass_concentration_of_oxygen_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
INFO 2019-11-27 02:11:30,407Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group BuoyancyServo parameter platform_buoyancy_position renaming to control_inputs_buoyancy_position
INFO 2019-11-27 02:11:30,420Z lrauvNc4ToNetcdf.py createSeries():225 sea_water_salinity: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [139435 139436 139437 139438 139439 139440 139441 139442 139443 139444
 139445 139446 139447 139448 139449 139450 139451 139452 139453 139454
 139455 139456 139457 139458 139459 139460 139461 139462 139463 139464
 139465 139466 139467 139468 139469 139470 139471 139472 139473 139474
 139475 139476 139477 139478 139479 139480 139481 139482 139483 139484
 139485 139486 139487 139488 139489 139490 139491 139492 139493 139494
 139495 139496 139497 139498 139499 139500 139501 139502 139503 139504
 139505 139506 139507 139508 139509 139510 139511 139512 139513 139514
 139515 139516 139517 139518 139519 139520 139521 139522 139523 139524
 139525 139526 139527 139528 139529 139530 139531 139532 139533 139534
 139535 139536 139537 139538 139539 139540 139541 139542 139543 139544
 139545 139546 139547 139548 139549 139550 139551 139552 139553 139554
 139555 139556 139557 139558 139559 139560 139561 139562 139563 139564
 139565 139566 139567 139568 139569 139570 139571 139572 139573 139574
 139575 139576 139577 139578 139579 139580 139581 139582 139583 139584
 139585 139586 139587 139588 139589 139590 139591 139592 139593 139594
 139595 139596 139597 139598 139599 139600 139601 139602 139603 139604
 139605 139606 139607 139608 139609 139610 139611 139612 139613 139614
 139615 139616 139617 139618 139619 139620 139621 139622 139623 139624
 139625 139626 139627 139628 139629 139630 139631 139632 139633 139634
 139635 139636 139637 139638 139639 139640 139641 139642 139643 139644
 139645 139646]
INFO 2019-11-27 02:11:30,423Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019']
INFO 2019-11-27 02:11:30,426Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09] for variable sea_water_salinity
INFO 2019-11-27 02:11:32,028Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group CTD_NeilBrown parameter sea_water_salinity renaming to salinity
INFO 2019-11-27 02:11:32,041Z lrauvNc4ToNetcdf.py createSeries():225 sea_water_temperature: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [139435 139436 139437 139438 139439 139440 139441 139442 139443 139444
 139445 139446 139447 139448 139449 139450 139451 139452 139453 139454
 139455 139456 139457 139458 139459 139460 139461 139462 139463 139464
 139465 139466 139467 139468 139469 139470 139471 139472 139473 139474
 139475 139476 139477 139478 139479 139480 139481 139482 139483 139484
 139485 139486 139487 139488 139489 139490 139491 139492 139493 139494
 139495 139496 139497 139498 139499 139500 139501 139502 139503 139504
 139505 139506 139507 139508 139509 139510 139511 139512 139513 139514
 139515 139516 139517 139518 139519 139520 139521 139522 139523 139524
 139525 139526 139527 139528 139529 139530 139531 139532 139533 139534
 139535 139536 139537 139538 139539 139540 139541 139542 139543 139544
 139545 139546 139547 139548 139549 139550 139551 139552 139553 139554
 139555 139556 139557 139558 139559 139560 139561 139562 139563 139564
 139565 139566 139567 139568 139569 139570 139571 139572 139573 139574
 139575 139576 139577 139578 139579 139580 139581 139582 139583 139584
 139585 139586 139587 139588 139589 139590 139591 139592 139593 139594
 139595 139596 139597 139598 139599 139600 139601 139602 139603 139604
 139605 139606 139607 139608 139609 139610 139611 139612 139613 139614
 139615 139616 139617 139618 139619 139620 139621 139622 139623 139624
 139625 139626 139627 139628 139629 139630 139631 139632 139633 139634
 139635 139636 139637 139638 139639 139640 139641 139642 139643 139644
 139645 139646]
INFO 2019-11-27 02:11:32,043Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019']
INFO 2019-11-27 02:11:32,047Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09] for variable sea_water_temperature
INFO 2019-11-27 02:11:33,683Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group CTD_NeilBrown parameter sea_water_temperature renaming to temperature
WARNING 2019-11-27 02:11:33,684Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_salinity' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
WARNING 2019-11-27 02:11:33,684Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_temperature' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
INFO 2019-11-27 02:11:33,918Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group ElevatorServo parameter platform_elevator_angle renaming to control_inputs_elevator_angle
WARNING 2019-11-27 02:11:33,919Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mole_concentration_of_nitrate_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
INFO 2019-11-27 02:11:33,936Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group MassServo parameter platform_mass_position renaming to control_inputs_mass_position
INFO 2019-11-27 02:11:33,938Z lrauvNc4ToNetcdf.py createSeries():225 time_fix: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [24]
INFO 2019-11-27 02:11:33,938Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:44 2019']
INFO 2019-11-27 02:11:33,939Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478092e+09] for variable time_fix
INFO 2019-11-27 02:11:33,945Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group NAL9602 parameter time_fix renaming to fix_time
INFO 2019-11-27 02:11:33,947Z lrauvNc4ToNetcdf.py createSeries():225 latitude_fix: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [24]
INFO 2019-11-27 02:11:33,948Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:44 2019']
INFO 2019-11-27 02:11:33,949Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478092e+09] for variable latitude_fix
INFO 2019-11-27 02:11:33,955Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group NAL9602 parameter latitude_fix renaming to fix_latitude
INFO 2019-11-27 02:11:33,957Z lrauvNc4ToNetcdf.py createSeries():225 longitude_fix: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [24]
INFO 2019-11-27 02:11:33,957Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:44 2019']
INFO 2019-11-27 02:11:33,958Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478092e+09] for variable longitude_fix
INFO 2019-11-27 02:11:33,964Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group NAL9602 parameter longitude_fix renaming to fix_longitude
INFO 2019-11-27 02:11:33,972Z lrauvNc4ToNetcdf.py createSeries():225 downwelling_photosynthetic_photon_flux_in_sea_water: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [78969 78970 78971 78972 78973 78974 78975 78976 78977 78978 78979 78980
 78981 78982 78983 78984 78985 78986 78987 78988 78989 78990 78991 78992
 78993 78994 78995 78996 78997 78998 78999 79000 79001 79002 79003 79004
 79005 79006 79007 79008 79009 79010 79011 79012 79013 79014 79015 79016
 79017 79018 79019 79020 79021 79022 79023 79024 79025 79026 79027 79028
 79029 79030 79031 79032 79033 79034 79035 79036 79037 79038 79039 79040
 79041 79042 79043 79044 79045 79046 79047 79048 79049 79050 79051 79052
 79053 79054 79055 79056 79057 79058 79059 79060 79061 79062 79063 79064
 79065 79066 79067 79068 79069 79070 79071 79072 79073 79074 79075 79076
 79077 79078 79079 79080 79081 79082]
INFO 2019-11-27 02:11:33,973Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019']
INFO 2019-11-27 02:11:33,976Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478093e+09
 1.57478093e+09 1.57478093e+09] for variable downwelling_photosynthetic_photon_flux_in_sea_water
INFO 2019-11-27 02:11:34,942Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group PAR_Licor parameter downwelling_photosynthetic_photon_flux_in_sea_water renaming to PAR
INFO 2019-11-27 02:11:34,949Z lrauvNc4ToNetcdf.py createSeries():225 platform_rudder_angle: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [67352 67353 67354]
INFO 2019-11-27 02:11:34,949Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:46 2019']
INFO 2019-11-27 02:11:34,950Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478093e+09 1.57478093e+09 1.57478093e+09] for variable platform_rudder_angle
INFO 2019-11-27 02:11:35,775Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group RudderServo parameter platform_rudder_angle renaming to control_inputs_rudder_angle
INFO 2019-11-27 02:11:37,030Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group ThrusterServo parameter platform_propeller_rotation_rate renaming to control_inputs_propeller_rotation_rate
WARNING 2019-11-27 02:11:37,030Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mass_concentration_of_chlorophyll_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
WARNING 2019-11-27 02:11:37,031Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'Output470' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
WARNING 2019-11-27 02:11:37,031Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'Output650' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
INFO 2019-11-27 02:11:37,035Z lrauvNc4ToNetcdf.py createSeries():225 concentration_of_chromophoric_dissolved_organic_matter_in_sea_water: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [26978 26979 26980 26981 26982 26983 26984 26985 26986 26987 26988 26989
 26990 26991 26992 26993 26994 26995 26996 26997 26998 26999 27000 27001
 27002 27003 27004 27005 27006 27007 27008 27009 27010 27011 27012 27013
 27014 27015 27016 27017 27018 27019]
INFO 2019-11-27 02:11:37,036Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019']
INFO 2019-11-27 02:11:37,037Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09] for variable concentration_of_chromophoric_dissolved_organic_matter_in_sea_water
INFO 2019-11-27 02:11:37,370Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group WetLabsSeaOWL_UV_A parameter concentration_of_chromophoric_dissolved_organic_matter_in_sea_water renaming to chromophoric_dissolved_organic_matter
INFO 2019-11-27 02:11:37,373Z lrauvNc4ToNetcdf.py createSeries():225 mass_concentration_of_chlorophyll_in_sea_water: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [26978 26979 26980 26981 26982 26983 26984 26985 26986 26987 26988 26989
 26990 26991 26992 26993 26994 26995 26996 26997 26998 26999 27000 27001
 27002 27003 27004 27005 27006 27007 27008 27009 27010 27011 27012 27013
 27014 27015 27016 27017 27018 27019]
INFO 2019-11-27 02:11:37,374Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019']
INFO 2019-11-27 02:11:37,376Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09] for variable mass_concentration_of_chlorophyll_in_sea_water
INFO 2019-11-27 02:11:37,709Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group WetLabsSeaOWL_UV_A parameter mass_concentration_of_chlorophyll_in_sea_water renaming to chlorophyll
INFO 2019-11-27 02:11:37,712Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable BackscatteringCoeff700nm empty so skipping
INFO 2019-11-27 02:11:37,715Z lrauvNc4ToNetcdf.py createSeries():225 VolumeScatCoeff117deg700nm: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [26978 26979 26980 26981 26982 26983 26984 26985 26986 26987 26988 26989
 26990 26991 26992 26993 26994 26995 26996 26997 26998 26999 27000 27001
 27002 27003 27004 27005 27006 27007 27008 27009 27010 27011 27012 27013
 27014 27015 27016 27017 27018 27019]
INFO 2019-11-27 02:11:37,717Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019']
INFO 2019-11-27 02:11:37,718Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09] for variable VolumeScatCoeff117deg700nm
INFO 2019-11-27 02:11:38,048Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group WetLabsSeaOWL_UV_A parameter VolumeScatCoeff117deg700nm renaming to VolumeScatCoeff117deg700nm
INFO 2019-11-27 02:11:38,052Z lrauvNc4ToNetcdf.py createSeries():225 mass_concentration_of_petroleum_hydrocarbons_in_sea_water: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [26978 26979 26980 26981 26982 26983 26984 26985 26986 26987 26988 26989
 26990 26991 26992 26993 26994 26995 26996 26997 26998 26999 27000 27001
 27002 27003 27004 27005 27006 27007 27008 27009 27010 27011 27012 27013
 27014 27015 27016 27017 27018 27019]
INFO 2019-11-27 02:11:38,053Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019']
INFO 2019-11-27 02:11:38,055Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09] for variable mass_concentration_of_petroleum_hydrocarbons_in_sea_water
INFO 2019-11-27 02:11:38,386Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group WetLabsSeaOWL_UV_A parameter mass_concentration_of_petroleum_hydrocarbons_in_sea_water renaming to petroleum_hydrocarbons
INFO 2019-11-27 02:11:38,388Z lrauvNc4ToNetcdf.py createSeries():225 fix_residual_percent_distance_traveled: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [6]
INFO 2019-11-27 02:11:38,389Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:44 2019']
INFO 2019-11-27 02:11:38,389Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478092e+09] for variable fix_residual_percent_distance_traveled
INFO 2019-11-27 02:11:38,395Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter fix_residual_percent_distance_traveled renaming to fix_residual_percent_distance_traveled_DeadReckonUsingMultipleVelocitySources
INFO 2019-11-27 02:11:38,405Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [78969 78970 78971 78972 78973 78974 78975 78976 78977 78978 78979 78980
 78981 78982 78983 78984 78985 78986 78987 78988 78989 78990 78991 78992
 78993 78994 78995 78996 78997 78998 78999 79000 79001 79002 79003 79004
 79005 79006 79007 79008 79009 79010 79011 79012 79013 79014 79015 79016
 79017 79018 79019 79020 79021 79022 79023 79024 79025 79026 79027 79028
 79029 79030 79031 79032 79033 79034 79035 79036 79037 79038 79039 79040
 79041 79042 79043 79044 79045 79046 79047 79048 79049 79050 79051 79052
 79053 79054 79055 79056 79057 79058 79059 79060 79061 79062 79063 79064
 79065 79066 79067 79068 79069 79070 79071 79072 79073 79074 79075 79076
 79077 79078 79079 79080 79081 79082]
INFO 2019-11-27 02:11:38,406Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019']
INFO 2019-11-27 02:11:38,408Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478093e+09
 1.57478093e+09 1.57478093e+09] for variable longitude
INFO 2019-11-27 02:11:39,377Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter longitude renaming to pose_longitude_DeadReckonUsingMultipleVelocitySources
INFO 2019-11-27 02:11:39,385Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [78969 78970 78971 78972 78973 78974 78975 78976 78977 78978 78979 78980
 78981 78982 78983 78984 78985 78986 78987 78988 78989 78990 78991 78992
 78993 78994 78995 78996 78997 78998 78999 79000 79001 79002 79003 79004
 79005 79006 79007 79008 79009 79010 79011 79012 79013 79014 79015 79016
 79017 79018 79019 79020 79021 79022 79023 79024 79025 79026 79027 79028
 79029 79030 79031 79032 79033 79034 79035 79036 79037 79038 79039 79040
 79041 79042 79043 79044 79045 79046 79047 79048 79049 79050 79051 79052
 79053 79054 79055 79056 79057 79058 79059 79060 79061 79062 79063 79064
 79065 79066 79067 79068 79069 79070 79071 79072 79073 79074 79075 79076
 79077 79078 79079 79080 79081 79082]
INFO 2019-11-27 02:11:39,386Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019']
INFO 2019-11-27 02:11:39,389Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478093e+09
 1.57478093e+09 1.57478093e+09] for variable latitude
INFO 2019-11-27 02:11:40,338Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter latitude renaming to pose_latitude_DeadReckonUsingMultipleVelocitySources
INFO 2019-11-27 02:11:40,346Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [78969 78970 78971 78972 78973 78974 78975 78976 78977 78978 78979 78980
 78981 78982 78983 78984 78985 78986 78987 78988 78989 78990 78991 78992
 78993 78994 78995 78996 78997 78998 78999 79000 79001 79002 79003 79004
 79005 79006 79007 79008 79009 79010 79011 79012 79013 79014 79015 79016
 79017 79018 79019 79020 79021 79022 79023 79024 79025 79026 79027 79028
 79029 79030 79031 79032 79033 79034 79035 79036 79037 79038 79039 79040
 79041 79042 79043 79044 79045 79046 79047 79048 79049 79050 79051 79052
 79053 79054 79055 79056 79057 79058 79059 79060 79061 79062 79063 79064
 79065 79066 79067 79068 79069 79070 79071 79072 79073 79074 79075 79076
 79077 79078 79079 79080 79081 79082]
INFO 2019-11-27 02:11:40,347Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019']
INFO 2019-11-27 02:11:40,350Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478093e+09
 1.57478093e+09 1.57478093e+09] for variable depth
INFO 2019-11-27 02:11:41,304Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter depth renaming to pose_depth_DeadReckonUsingMultipleVelocitySources
WARNING 2019-11-27 02:11:41,304Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'fix_residual_percent_distance_traveled' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
WARNING 2019-11-27 02:11:41,305Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'longitude' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
WARNING 2019-11-27 02:11:41,305Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'latitude' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
WARNING 2019-11-27 02:11:41,305Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'depth' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
INFO 2019-11-27 02:11:41,319Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group BPC1 parameter platform_battery_charge renaming to health_platform_battery_charge
INFO 2019-11-27 02:11:41,330Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group BPC1 parameter platform_battery_voltage renaming to health_platform_average_voltage
WARNING 2019-11-27 02:11:41,330Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'platform_average_current' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
INFO 2019-11-27 02:11:41,363Z lrauvNc4ToNetcdf.py createSeries():225 platform_pitch_angle: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [70963 70965 70966 70967 70968 70969 70970 70971 70972 70973 70974 70975
 70976 70977 70978 70979 70980 70981 70982 70983 70984 70985 70986 70987
 70988 70989 70990 70991 70992 70993 70994 70995 70996 70997 70998 70999
 71000 71001 71002 71003 71004 71005 71006 71007 71008 71009 71010 71011
 71012 71013 71014 71015 71016 71017 71018 71019 71020 71021 71022 71023
 71024 71025 71026 71027 71028 71029 71030 71031 71032 71033 71034 71035
 71036 71037 71038 71039 71040 71041 71042 71043 71044 71045 71046 71047
 71048 71049 71050 71051 71052 71053 71054 71055 71056 71057 71058 71059
 71060 71061 71062 71063 71064 71065 71066 71067 71068 71069 71070 71071
 71072]
INFO 2019-11-27 02:11:41,734Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:45 2019']
INFO 2019-11-27 02:11:42,105Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478090e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478090e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478093e+09] for variable platform_pitch_angle
DEBUG 2019-11-27 02:11:42,931Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for pitch
DEBUG 2019-11-27 02:11:42,943Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for pitch
INFO 2019-11-27 02:11:42,945Z lrauvNc4ToNetcdf.py createNav():489 platform_pitch_angle -> pitch: {'units': 'rad', 'standard_name': 'platform_pitch_angle', 'coordinates': 'time depth latitude longitude'}
INFO 2019-11-27 02:11:42,975Z lrauvNc4ToNetcdf.py createSeries():225 platform_roll_angle: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [70963 70965 70966 70967 70968 70969 70970 70971 70972 70973 70974 70975
 70976 70977 70978 70979 70980 70981 70982 70983 70984 70985 70986 70987
 70988 70989 70990 70991 70992 70993 70994 70995 70996 70997 70998 70999
 71000 71001 71002 71003 71004 71005 71006 71007 71008 71009 71010 71011
 71012 71013 71014 71015 71016 71017 71018 71019 71020 71021 71022 71023
 71024 71025 71026 71027 71028 71029 71030 71031 71032 71033 71034 71035
 71036 71037 71038 71039 71040 71041 71042 71043 71044 71045 71046 71047
 71048 71049 71050 71051 71052 71053 71054 71055 71056 71057 71058 71059
 71060 71061 71062 71063 71064 71065 71066 71067 71068 71069 71070 71071
 71072]
INFO 2019-11-27 02:11:43,347Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:45 2019']
INFO 2019-11-27 02:11:43,715Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478090e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478090e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478093e+09] for variable platform_roll_angle
DEBUG 2019-11-27 02:11:44,538Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for roll
DEBUG 2019-11-27 02:11:44,549Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for roll
INFO 2019-11-27 02:11:44,550Z lrauvNc4ToNetcdf.py createNav():489 platform_roll_angle -> roll: {'units': 'rad', 'standard_name': 'platform_roll_angle', 'coordinates': 'time depth latitude longitude'}
INFO 2019-11-27 02:11:44,580Z lrauvNc4ToNetcdf.py createSeries():225 platform_orientation: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [70963 70965 70966 70967 70968 70969 70970 70971 70972 70973 70974 70975
 70976 70977 70978 70979 70980 70981 70982 70983 70984 70985 70986 70987
 70988 70989 70990 70991 70992 70993 70994 70995 70996 70997 70998 70999
 71000 71001 71002 71003 71004 71005 71006 71007 71008 71009 71010 71011
 71012 71013 71014 71015 71016 71017 71018 71019 71020 71021 71022 71023
 71024 71025 71026 71027 71028 71029 71030 71031 71032 71033 71034 71035
 71036 71037 71038 71039 71040 71041 71042 71043 71044 71045 71046 71047
 71048 71049 71050 71051 71052 71053 71054 71055 71056 71057 71058 71059
 71060 71061 71062 71063 71064 71065 71066 71067 71068 71069 71070 71071
 71072]
INFO 2019-11-27 02:11:44,953Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:45 2019']
INFO 2019-11-27 02:11:45,328Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478090e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478090e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478093e+09] for variable platform_orientation
DEBUG 2019-11-27 02:11:46,156Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for yaw
DEBUG 2019-11-27 02:11:46,168Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for yaw
INFO 2019-11-27 02:11:46,170Z lrauvNc4ToNetcdf.py createNav():489 platform_orientation -> yaw: {'units': 'rad', 'standard_name': 'platform_yaw_angle', 'coordinates': 'time depth latitude longitude'}
INFO 2019-11-27 02:11:46,171Z lrauvNc4ToNetcdf.py nudge_coords():609 /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
DEBUG 2019-11-27 02:11:47,134Z lrauvNc4ToNetcdf.py var_series():597 longitude: rad_to_deg = True
DEBUG 2019-11-27 02:11:48,096Z lrauvNc4ToNetcdf.py var_series():597 latitude: rad_to_deg = True
DEBUG 2019-11-27 02:11:48,143Z lrauvNc4ToNetcdf.py var_series():597 longitude_fix: rad_to_deg = False
DEBUG 2019-11-27 02:11:48,184Z lrauvNc4ToNetcdf.py var_series():597 latitude_fix: rad_to_deg = False
INFO 2019-11-27 02:11:48,185Z lrauvNc4ToNetcdf.py nudge_coords():627 seg#  end_sec_diff end_lon_diff end_lat_diff len(segi)   seg_min u_drift (cm/s) v_drift (cm/s)     start datetime of segment
INFO 2019-11-27 02:11:48,187Z lrauvNc4ToNetcdf.py nudge_coords():643                  -            -            -       138      0.92              -              -                             -
INFO 2019-11-27 02:11:48,196Z lrauvNc4ToNetcdf.py nudge_coords():665    0:        0.335    0.0000075   -0.0001320       176      1.18         -13.00         -20.70 2019-11-26 06:18:01.676366091
INFO 2019-11-27 02:11:48,203Z lrauvNc4ToNetcdf.py nudge_coords():665    1:        0.359    0.0001626   -0.0002984       323      2.17         -15.98         -25.43 2019-11-26 06:20:12.632323980
INFO 2019-11-27 02:11:48,209Z lrauvNc4ToNetcdf.py nudge_coords():665    2:        0.372    0.0000395   -0.0000295        85      0.57          -6.08          -9.67 2019-11-26 06:20:46.961086988
INFO 2019-11-27 02:11:48,216Z lrauvNc4ToNetcdf.py nudge_coords():665    3:        0.373    0.0000283   -0.0020633      2567     17.28         -13.87         -22.13 2019-11-26 06:38:04.119782925
INFO 2019-11-27 02:11:48,223Z lrauvNc4ToNetcdf.py nudge_coords():665    4:        0.380    0.0000997   -0.0005696       586      3.94         -16.76         -26.76 2019-11-26 06:42:01.231739998
INFO 2019-11-27 02:11:48,229Z lrauvNc4ToNetcdf.py nudge_coords():665    5:        0.351    0.0000809   -0.0000617       217      1.46          -4.90          -7.83 2019-11-26 06:43:29.420893908
INFO 2019-11-27 02:11:48,236Z lrauvNc4ToNetcdf.py nudge_coords():665    6:        0.359    0.0009011   -0.0007421      1384      9.32          -9.27         -14.76 2019-11-26 06:52:49.026391029
INFO 2019-11-27 02:11:48,243Z lrauvNc4ToNetcdf.py nudge_coords():665    7:        0.371    0.0002787   -0.0009168      1145      7.70         -13.84         -22.05 2019-11-26 07:00:31.661756039
INFO 2019-11-27 02:11:48,249Z lrauvNc4ToNetcdf.py nudge_coords():665    8:        0.358    0.0001579   -0.0006501       897      6.04         -12.51         -19.96 2019-11-26 07:06:34.191431046
INFO 2019-11-27 02:11:48,256Z lrauvNc4ToNetcdf.py nudge_coords():665    9:        0.387    0.0001167   -0.0008273       832      5.60         -17.16         -27.40 2019-11-26 07:12:10.305172920
INFO 2019-11-27 02:11:48,263Z lrauvNc4ToNetcdf.py nudge_coords():665   10:        0.328    0.0001902   -0.0008130       831      5.59         -16.86         -26.95 2019-11-26 07:17:46.099019051
INFO 2019-11-27 02:11:48,269Z lrauvNc4ToNetcdf.py nudge_coords():665   11:        0.361    0.0000677   -0.0002921       308      2.07         -16.38         -26.19 2019-11-26 07:19:50.501518011
INFO 2019-11-27 02:11:48,276Z lrauvNc4ToNetcdf.py nudge_coords():665   12:        0.318    0.0000318   -0.0001063       110      0.74         -16.74         -26.76 2019-11-26 07:20:35.080466032
INFO 2019-11-27 02:11:48,282Z lrauvNc4ToNetcdf.py nudge_coords():665   13:        0.328    0.0051474   -0.0012564      9179     61.82          -2.37          -3.77 2019-11-26 08:22:24.681200027
INFO 2019-11-27 02:11:48,289Z lrauvNc4ToNetcdf.py nudge_coords():665   14:        0.340    0.0000762   -0.0002764       507      3.41          -9.42         -15.00 2019-11-26 08:25:49.942184925
INFO 2019-11-27 02:11:48,296Z lrauvNc4ToNetcdf.py nudge_coords():665   15:        0.379    0.0053986   -0.0004032      9295     62.63          -0.75          -1.19 2019-11-26 09:28:28.022524118
INFO 2019-11-27 02:11:48,303Z lrauvNc4ToNetcdf.py nudge_coords():665   16:        0.389    0.0002103   -0.0001185       491      3.31          -4.17          -6.63 2019-11-26 09:31:47.213407993
INFO 2019-11-27 02:11:48,310Z lrauvNc4ToNetcdf.py nudge_coords():665   17:        0.321    0.0042494    0.0006825      9465     63.77           1.25           1.98 2019-11-26 10:35:33.560468912
INFO 2019-11-27 02:11:48,318Z lrauvNc4ToNetcdf.py nudge_coords():665   18:        0.397   -0.0000364   -0.0002361       444      2.99          -9.20         -14.62 2019-11-26 10:38:33.488989115
INFO 2019-11-27 02:11:48,324Z lrauvNc4ToNetcdf.py nudge_coords():665   19:        0.361    0.0031055    0.0005108     10533     70.96           0.84           1.33 2019-11-26 11:49:31.677716017
INFO 2019-11-27 02:11:48,332Z lrauvNc4ToNetcdf.py nudge_coords():665   20:        0.308   -0.0016592   -0.0004811      9137     61.56          -0.91          -1.45 2019-11-26 12:51:05.412668943
INFO 2019-11-27 02:11:48,340Z lrauvNc4ToNetcdf.py nudge_coords():665   21:        0.358   -0.0003235   -0.0000727       517      3.49          -2.44          -3.86 2019-11-26 12:54:34.904824972
INFO 2019-11-27 02:11:48,347Z lrauvNc4ToNetcdf.py nudge_coords():665   22:        0.359   -0.0032977    0.0021400     10417     70.18           3.55           5.65 2019-11-26 14:04:46.249463081
INFO 2019-11-27 02:11:48,355Z lrauvNc4ToNetcdf.py nudge_coords():665   23:        0.316   -0.0033650    0.0028847      9494     63.95           5.26           8.36 2019-11-26 15:08:43.933573008
INFO 2019-11-27 02:11:48,362Z lrauvNc4ToNetcdf.py nudge_coords():695   25:            -            -            -         5      0.03              -              -
INFO 2019-11-27 02:11:48,363Z lrauvNc4ToNetcdf.py nudge_coords():699 Points in final series = 78945
DEBUG 2019-11-27 02:11:48,364Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():525 Constructing trackingdb url to 3600 seconds beyond time range of file
INFO 2019-11-27 02:11:48,384Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():533 http://odss.mbari.org/trackingdb/position/whoidhs_ac/between/20191126T051554/20191126T160845/data.csv
INFO 2019-11-27 02:11:48,411Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():556 Found 0 position values from the Tracking database
INFO 2019-11-27 02:11:48,418Z lrauvNc4ToNetcdf.py processResampleNc4File():1120 ['control_inputs_buoyancy_position', 'salinity', 'temperature', 'control_inputs_elevator_angle', 'control_inputs_mass_position', 'fix_time', 'fix_latitude', 'fix_longitude', 'PAR', 'control_inputs_rudder_angle', 'control_inputs_propeller_rotation_rate', 'chromophoric_dissolved_organic_matter', 'chlorophyll', 'VolumeScatCoeff117deg700nm', 'petroleum_hydrocarbons', 'fix_residual_percent_distance_traveled_DeadReckonUsingMultipleVelocitySources', 'pose_longitude_DeadReckonUsingMultipleVelocitySources', 'pose_latitude_DeadReckonUsingMultipleVelocitySources', 'pose_depth_DeadReckonUsingMultipleVelocitySources', 'health_platform_battery_charge', 'health_platform_average_voltage', 'pitch', 'roll', 'yaw', 'latitude', 'longitude', 'depth', 'time']
DEBUG 2019-11-27 02:11:48,421Z lrauvNc4ToNetcdf.py write_netcdf():120 Creating netCDF file /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508_2S_scieng.nc
DEBUG 2019-11-27 02:11:48,426Z lrauvNc4ToNetcdf.py write_netcdf():144 Adding in record variable fix_time
DEBUG 2019-11-27 02:11:48,482Z lrauvNc4ToNetcdf.py write_netcdf():144 Adding in record variable time
DEBUG 2019-11-27 02:11:48,495Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_buoyancy_position
DEBUG 2019-11-27 02:11:48,506Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable salinity
DEBUG 2019-11-27 02:11:48,516Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable temperature
DEBUG 2019-11-27 02:11:48,526Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_elevator_angle
DEBUG 2019-11-27 02:11:48,536Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_mass_position
DEBUG 2019-11-27 02:11:48,546Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable fix_latitude
DEBUG 2019-11-27 02:11:48,557Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable fix_longitude
DEBUG 2019-11-27 02:11:48,582Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable PAR
DEBUG 2019-11-27 02:11:48,592Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_rudder_angle
DEBUG 2019-11-27 02:11:48,602Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_propeller_rotation_rate
DEBUG 2019-11-27 02:11:48,613Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable chromophoric_dissolved_organic_matter
DEBUG 2019-11-27 02:11:48,634Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable chlorophyll
DEBUG 2019-11-27 02:11:48,645Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable VolumeScatCoeff117deg700nm
DEBUG 2019-11-27 02:11:48,655Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable petroleum_hydrocarbons
DEBUG 2019-11-27 02:11:48,665Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable fix_residual_percent_distance_traveled_DeadReckonUsingMultipleVelocitySources
DEBUG 2019-11-27 02:11:48,676Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_longitude_DeadReckonUsingMultipleVelocitySources
DEBUG 2019-11-27 02:11:48,686Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_latitude_DeadReckonUsingMultipleVelocitySources
DEBUG 2019-11-27 02:11:48,696Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_depth_DeadReckonUsingMultipleVelocitySources
DEBUG 2019-11-27 02:11:48,707Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable health_platform_battery_charge
DEBUG 2019-11-27 02:11:48,734Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable health_platform_average_voltage
DEBUG 2019-11-27 02:11:48,744Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pitch
DEBUG 2019-11-27 02:11:48,755Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable roll
DEBUG 2019-11-27 02:11:48,765Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable yaw
DEBUG 2019-11-27 02:11:48,775Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable latitude
DEBUG 2019-11-27 02:11:48,786Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable longitude
DEBUG 2019-11-27 02:11:48,796Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable depth
DEBUG 2019-11-27 02:11:48,806Z lrauvNc4ToNetcdf.py write_netcdf():163 Adding in global metadata
INFO 2019-11-27 02:11:49,044Z lrauvNc4ToNetcdf.py processResampleNc4File():1123 Wrote /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508_2S_scieng.nc