INFO 2019-11-27 02:22:42,925Z lrauvNc4ToNetcdf.py processResampleNc4File():979 Reading /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4 file...
INFO 2019-11-27 02:22:42,926Z lrauvNc4ToNetcdf.py processResampleNc4File():980 After copying to /tmp/201911260615_201911261508.nc4
INFO 2019-11-27 02:22:44,004Z lrauvNc4ToNetcdf.py processResampleNc4File():982 Read file /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
INFO 2019-11-27 02:22:44,033Z 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 02:22:44,043Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 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 02:22:44,053Z 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 02:22:44,960Z 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 02:22:44,970Z 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 02:22:44,979Z 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 02:22:45,893Z 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 02:22:45,903Z 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 02:22:45,912Z 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 02:22:46,814Z 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 02:22:46,824Z 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 02:22:46,834Z 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 02:22:47,773Z 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 02:22:47,784Z 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 02:22:47,793Z 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 02:22:48,691Z 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 02:22:48,701Z 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 02:22:48,711Z 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 02:22:49,612Z 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 02:22:49,623Z 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 02:22:49,632Z 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 02:22:50,534Z 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 02:22:50,545Z 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 02:22:50,554Z 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 02:22:51,457Z 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 02:22:51,468Z 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 02:22:51,478Z 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 02:22:52,378Z 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 02:22:52,388Z 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 02:22:52,397Z 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 02:22:53,296Z 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 02:22:53,307Z 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 02:22:53,316Z 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 02:22:54,221Z 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 02:22:54,232Z 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 02:22:54,241Z 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 02:22:55,144Z 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 02:22:55,154Z 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 02:22:55,163Z 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 02:22:56,068Z 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 02:22:56,079Z 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 02:22:56,088Z 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 02:22:56,990Z 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 02:22:57,001Z 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 02:22:57,010Z 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 02:22:57,913Z 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 02:22:57,924Z 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 02:22:57,933Z 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 02:22:58,827Z lrauvNc4ToNetcdf.py processResampleNc4File():987 Creating t variable of the time indexes
INFO 2019-11-27 02:22:58,916Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group BuoyancyServo parameter platform_buoyancy_position renaming to control_inputs_buoyancy_position
INFO 2019-11-27 02:22:59,145Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group ElevatorServo parameter platform_elevator_angle renaming to control_inputs_elevator_angle
INFO 2019-11-27 02:22:59,162Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group MassServo parameter platform_mass_position renaming to control_inputs_mass_position
INFO 2019-11-27 02:22:59,164Z 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 02:22:59,164Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:44 2019']
INFO 2019-11-27 02:22:59,165Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478092e+09] for variable time_fix
INFO 2019-11-27 02:22:59,171Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group NAL9602 parameter time_fix renaming to fix_time
INFO 2019-11-27 02:22:59,173Z 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 02:22:59,173Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:44 2019']
INFO 2019-11-27 02:22:59,174Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478092e+09] for variable latitude_fix
INFO 2019-11-27 02:22:59,180Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group NAL9602 parameter latitude_fix renaming to fix_latitude
INFO 2019-11-27 02:22:59,182Z 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 02:22:59,182Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:44 2019']
INFO 2019-11-27 02:22:59,183Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478092e+09] for variable longitude_fix
INFO 2019-11-27 02:22:59,189Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group NAL9602 parameter longitude_fix renaming to fix_longitude
INFO 2019-11-27 02:22:59,195Z 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 02:22:59,196Z 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 02:22:59,197Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478093e+09 1.57478093e+09 1.57478093e+09] for variable platform_rudder_angle
INFO 2019-11-27 02:22:59,999Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group RudderServo parameter platform_rudder_angle renaming to control_inputs_rudder_angle
INFO 2019-11-27 02:23:01,242Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group ThrusterServo parameter platform_propeller_rotation_rate renaming to control_inputs_propeller_rotation_rate
INFO 2019-11-27 02:23:01,244Z 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 02:23:01,244Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:44 2019']
INFO 2019-11-27 02:23:01,245Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478092e+09] for variable fix_residual_percent_distance_traveled
INFO 2019-11-27 02:23:01,251Z 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 02:23:01,258Z 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 02:23:01,260Z 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 02:23:01,262Z 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 02:23:02,183Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter longitude renaming to pose_longitude_DeadReckonUsingMultipleVelocitySources
INFO 2019-11-27 02:23:02,191Z 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 02:23:02,192Z 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 02:23:02,195Z 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 02:23:03,135Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter latitude renaming to pose_latitude_DeadReckonUsingMultipleVelocitySources
INFO 2019-11-27 02:23:03,142Z 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 02:23:03,144Z 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 02:23:03,146Z 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 02:23:04,070Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter depth renaming to pose_depth_DeadReckonUsingMultipleVelocitySources
WARNING 2019-11-27 02:23:04,071Z 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 02:23:04,071Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'longitude' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
WARNING 2019-11-27 02:23:04,071Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'latitude' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
WARNING 2019-11-27 02:23:04,072Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'depth' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
INFO 2019-11-27 02:23:04,084Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group BPC1 parameter platform_battery_charge renaming to health_platform_battery_charge
INFO 2019-11-27 02:23:04,095Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group BPC1 parameter platform_battery_voltage renaming to health_platform_average_voltage
WARNING 2019-11-27 02:23:04,095Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'platform_average_current' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
INFO 2019-11-27 02:23:04,124Z 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 02:23:04,461Z 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 02:23:04,794Z 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 02:23:05,586Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for pitch
DEBUG 2019-11-27 02:23:05,598Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for pitch
INFO 2019-11-27 02:23:05,599Z lrauvNc4ToNetcdf.py createNav():489 platform_pitch_angle -> pitch: {'units': 'rad', 'standard_name': 'platform_pitch_angle', 'coordinates': 'time depth latitude longitude'}
INFO 2019-11-27 02:23:05,626Z 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 02:23:05,985Z 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 02:23:06,320Z 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 02:23:07,116Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for roll
DEBUG 2019-11-27 02:23:07,127Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for roll
INFO 2019-11-27 02:23:07,129Z lrauvNc4ToNetcdf.py createNav():489 platform_roll_angle -> roll: {'units': 'rad', 'standard_name': 'platform_roll_angle', 'coordinates': 'time depth latitude longitude'}
INFO 2019-11-27 02:23:07,155Z 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 02:23:07,491Z 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 02:23:07,822Z 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 02:23:08,626Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for yaw
DEBUG 2019-11-27 02:23:08,636Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for yaw
INFO 2019-11-27 02:23:08,638Z lrauvNc4ToNetcdf.py createNav():489 platform_orientation -> yaw: {'units': 'rad', 'standard_name': 'platform_yaw_angle', 'coordinates': 'time depth latitude longitude'}
INFO 2019-11-27 02:23:08,640Z lrauvNc4ToNetcdf.py nudge_coords():609 /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
DEBUG 2019-11-27 02:23:09,564Z lrauvNc4ToNetcdf.py var_series():597 longitude: rad_to_deg = True
DEBUG 2019-11-27 02:23:10,483Z lrauvNc4ToNetcdf.py var_series():597 latitude: rad_to_deg = True
DEBUG 2019-11-27 02:23:10,525Z lrauvNc4ToNetcdf.py var_series():597 longitude_fix: rad_to_deg = False
DEBUG 2019-11-27 02:23:10,562Z lrauvNc4ToNetcdf.py var_series():597 latitude_fix: rad_to_deg = False
INFO 2019-11-27 02:23:10,562Z 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 02:23:10,564Z lrauvNc4ToNetcdf.py nudge_coords():643                  -            -            -       138      0.92              -              -                             -
INFO 2019-11-27 02:23:10,573Z 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 02:23:10,580Z 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 02:23:10,586Z 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 02:23:10,593Z 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 02:23:10,600Z 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 02:23:10,606Z 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 02:23:10,612Z 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 02:23:10,619Z 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 02:23:10,626Z 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 02:23:10,632Z 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 02:23:10,639Z 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 02:23:10,646Z 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 02:23:10,652Z 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 02:23:10,659Z 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 02:23:10,666Z 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 02:23:10,673Z 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 02:23:10,680Z 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 02:23:10,687Z 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 02:23:10,694Z 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 02:23:10,701Z 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 02:23:10,709Z 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 02:23:10,716Z 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 02:23:10,723Z 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 02:23:10,731Z 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 02:23:10,738Z lrauvNc4ToNetcdf.py nudge_coords():695   25:            -            -            -         5      0.03              -              -
INFO 2019-11-27 02:23:10,739Z lrauvNc4ToNetcdf.py nudge_coords():699 Points in final series = 78945
DEBUG 2019-11-27 02:23:10,740Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():525 Constructing trackingdb url to 3600 seconds beyond time range of file
INFO 2019-11-27 02:23:10,759Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():533 http://odss.mbari.org/trackingdb/position/whoidhs_ac/between/20191126T051554/20191126T160845/data.csv
INFO 2019-11-27 02:23:10,787Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():556 Found 0 position values from the Tracking database
INFO 2019-11-27 02:23:10,793Z lrauvNc4ToNetcdf.py processResampleNc4File():1120 ['control_inputs_buoyancy_position', 'control_inputs_elevator_angle', 'control_inputs_mass_position', 'fix_time', 'fix_latitude', 'fix_longitude', 'control_inputs_rudder_angle', 'control_inputs_propeller_rotation_rate', '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 02:23:10,798Z lrauvNc4ToNetcdf.py write_netcdf():120 Creating netCDF file /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508_2S_eng.nc
DEBUG 2019-11-27 02:23:10,803Z lrauvNc4ToNetcdf.py write_netcdf():144 Adding in record variable fix_time
DEBUG 2019-11-27 02:23:10,868Z lrauvNc4ToNetcdf.py write_netcdf():144 Adding in record variable time
DEBUG 2019-11-27 02:23:10,883Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_buoyancy_position
DEBUG 2019-11-27 02:23:10,896Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_elevator_angle
DEBUG 2019-11-27 02:23:10,908Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_mass_position
DEBUG 2019-11-27 02:23:10,921Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable fix_latitude
DEBUG 2019-11-27 02:23:10,934Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable fix_longitude
DEBUG 2019-11-27 02:23:10,947Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_rudder_angle
DEBUG 2019-11-27 02:23:10,959Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_propeller_rotation_rate
DEBUG 2019-11-27 02:23:10,986Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable fix_residual_percent_distance_traveled_DeadReckonUsingMultipleVelocitySources
DEBUG 2019-11-27 02:23:10,999Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_longitude_DeadReckonUsingMultipleVelocitySources
DEBUG 2019-11-27 02:23:11,020Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_latitude_DeadReckonUsingMultipleVelocitySources
DEBUG 2019-11-27 02:23:11,034Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_depth_DeadReckonUsingMultipleVelocitySources
DEBUG 2019-11-27 02:23:11,048Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable health_platform_battery_charge
DEBUG 2019-11-27 02:23:11,061Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable health_platform_average_voltage
DEBUG 2019-11-27 02:23:11,074Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pitch
DEBUG 2019-11-27 02:23:11,087Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable roll
DEBUG 2019-11-27 02:23:11,101Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable yaw
DEBUG 2019-11-27 02:23:11,114Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable latitude
DEBUG 2019-11-27 02:23:11,128Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable longitude
DEBUG 2019-11-27 02:23:11,141Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable depth
DEBUG 2019-11-27 02:23:11,154Z lrauvNc4ToNetcdf.py write_netcdf():163 Adding in global metadata
INFO 2019-11-27 02:23:11,425Z lrauvNc4ToNetcdf.py processResampleNc4File():1123 Wrote /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508_2S_eng.nc