INFO 2019-11-27 02:16:58,071Z lrauvNc4ToNetcdf.py processResampleNc4File():979 Reading /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4 file...
INFO 2019-11-27 02:16:58,072Z lrauvNc4ToNetcdf.py processResampleNc4File():980 After copying to /tmp/201911260615_201911261508.nc4
INFO 2019-11-27 02:16:59,148Z lrauvNc4ToNetcdf.py processResampleNc4File():982 Read file /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
INFO 2019-11-27 02:16:59,176Z 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 02:16:59,186Z 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 02:16:59,195Z 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 02:17:00,108Z 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 02:17:00,119Z 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 02:17:00,129Z 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 02:17:01,032Z 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 02:17:01,043Z 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 15:08:13 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 02:17:01,052Z 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 02:17:01,959Z 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 02:17:01,969Z 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 02:17:01,978Z 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 02:17:02,892Z 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 02:17:02,903Z 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 15:08:14 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 02:17:02,912Z 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 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+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 02:17:03,807Z 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 02:17:03,817Z 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 02:17:03,827Z 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 02:17:04,725Z 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 02:17:04,736Z 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 02:17:04,745Z 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 02:17:05,638Z 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 02:17:05,648Z 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 02:17:05,658Z 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 02:17:06,555Z 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 02:17:06,566Z 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 02:17:06,575Z 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 02:17:07,480Z 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 02:17:07,491Z 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 15:08:01 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 02:17:07,500Z 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 02:17:08,393Z 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 02:17:08,404Z 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 02:17:08,413Z 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 02:17:09,331Z 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 02:17:09,343Z 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 02:17:09,352Z 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 02:17:10,297Z 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 02:17:10,308Z 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 02:17:10,318Z 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 02:17:11,217Z 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 02:17:11,228Z 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 02:17:11,237Z 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 02:17:12,135Z 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 02:17:12,145Z 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 02:17:12,155Z 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 02:17:13,048Z 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 02:17:13,058Z 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 02:17:13,068Z 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 02:17:13,942Z lrauvNc4ToNetcdf.py processResampleNc4File():987 Creating t variable of the time indexes
WARNING 2019-11-27 02:17:13,963Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mass_concentration_of_oxygen_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
INFO 2019-11-27 02:17:13,977Z lrauvNc4ToNetcdf.py createSeries():225 sea_water_salinity: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [139435 139436 139437 139438 139439 139440 139441 139442 139443 139444
 139445 139446 139447 139448 139449 139450 139451 139452 139453 139454
 139455 139456 139457 139458 139459 139460 139461 139462 139463 139464
 139465 139466 139467 139468 139469 139470 139471 139472 139473 139474
 139475 139476 139477 139478 139479 139480 139481 139482 139483 139484
 139485 139486 139487 139488 139489 139490 139491 139492 139493 139494
 139495 139496 139497 139498 139499 139500 139501 139502 139503 139504
 139505 139506 139507 139508 139509 139510 139511 139512 139513 139514
 139515 139516 139517 139518 139519 139520 139521 139522 139523 139524
 139525 139526 139527 139528 139529 139530 139531 139532 139533 139534
 139535 139536 139537 139538 139539 139540 139541 139542 139543 139544
 139545 139546 139547 139548 139549 139550 139551 139552 139553 139554
 139555 139556 139557 139558 139559 139560 139561 139562 139563 139564
 139565 139566 139567 139568 139569 139570 139571 139572 139573 139574
 139575 139576 139577 139578 139579 139580 139581 139582 139583 139584
 139585 139586 139587 139588 139589 139590 139591 139592 139593 139594
 139595 139596 139597 139598 139599 139600 139601 139602 139603 139604
 139605 139606 139607 139608 139609 139610 139611 139612 139613 139614
 139615 139616 139617 139618 139619 139620 139621 139622 139623 139624
 139625 139626 139627 139628 139629 139630 139631 139632 139633 139634
 139635 139636 139637 139638 139639 139640 139641 139642 139643 139644
 139645 139646]
INFO 2019-11-27 02:17:13,979Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019']
INFO 2019-11-27 02:17:13,983Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09] for variable sea_water_salinity
INFO 2019-11-27 02:17:15,547Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group CTD_NeilBrown parameter sea_water_salinity renaming to salinity
INFO 2019-11-27 02:17:15,560Z lrauvNc4ToNetcdf.py createSeries():225 sea_water_temperature: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [139435 139436 139437 139438 139439 139440 139441 139442 139443 139444
 139445 139446 139447 139448 139449 139450 139451 139452 139453 139454
 139455 139456 139457 139458 139459 139460 139461 139462 139463 139464
 139465 139466 139467 139468 139469 139470 139471 139472 139473 139474
 139475 139476 139477 139478 139479 139480 139481 139482 139483 139484
 139485 139486 139487 139488 139489 139490 139491 139492 139493 139494
 139495 139496 139497 139498 139499 139500 139501 139502 139503 139504
 139505 139506 139507 139508 139509 139510 139511 139512 139513 139514
 139515 139516 139517 139518 139519 139520 139521 139522 139523 139524
 139525 139526 139527 139528 139529 139530 139531 139532 139533 139534
 139535 139536 139537 139538 139539 139540 139541 139542 139543 139544
 139545 139546 139547 139548 139549 139550 139551 139552 139553 139554
 139555 139556 139557 139558 139559 139560 139561 139562 139563 139564
 139565 139566 139567 139568 139569 139570 139571 139572 139573 139574
 139575 139576 139577 139578 139579 139580 139581 139582 139583 139584
 139585 139586 139587 139588 139589 139590 139591 139592 139593 139594
 139595 139596 139597 139598 139599 139600 139601 139602 139603 139604
 139605 139606 139607 139608 139609 139610 139611 139612 139613 139614
 139615 139616 139617 139618 139619 139620 139621 139622 139623 139624
 139625 139626 139627 139628 139629 139630 139631 139632 139633 139634
 139635 139636 139637 139638 139639 139640 139641 139642 139643 139644
 139645 139646]
INFO 2019-11-27 02:17:15,562Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019']
INFO 2019-11-27 02:17:15,566Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09] for variable sea_water_temperature
INFO 2019-11-27 02:17:17,116Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group CTD_NeilBrown parameter sea_water_temperature renaming to temperature
WARNING 2019-11-27 02:17:17,117Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_salinity' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
WARNING 2019-11-27 02:17:17,117Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_temperature' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
WARNING 2019-11-27 02:17:17,117Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mole_concentration_of_nitrate_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
INFO 2019-11-27 02:17:17,124Z lrauvNc4ToNetcdf.py createSeries():225 downwelling_photosynthetic_photon_flux_in_sea_water: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [78969 78970 78971 78972 78973 78974 78975 78976 78977 78978 78979 78980
 78981 78982 78983 78984 78985 78986 78987 78988 78989 78990 78991 78992
 78993 78994 78995 78996 78997 78998 78999 79000 79001 79002 79003 79004
 79005 79006 79007 79008 79009 79010 79011 79012 79013 79014 79015 79016
 79017 79018 79019 79020 79021 79022 79023 79024 79025 79026 79027 79028
 79029 79030 79031 79032 79033 79034 79035 79036 79037 79038 79039 79040
 79041 79042 79043 79044 79045 79046 79047 79048 79049 79050 79051 79052
 79053 79054 79055 79056 79057 79058 79059 79060 79061 79062 79063 79064
 79065 79066 79067 79068 79069 79070 79071 79072 79073 79074 79075 79076
 79077 79078 79079 79080 79081 79082]
INFO 2019-11-27 02:17:17,125Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:02 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:20 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:37 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:39 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:44 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019', 'Tue Nov 26 15:08:45 2019']
INFO 2019-11-27 02:17:17,128Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478093e+09
 1.57478093e+09 1.57478093e+09] for variable downwelling_photosynthetic_photon_flux_in_sea_water
INFO 2019-11-27 02:17:18,061Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group PAR_Licor parameter downwelling_photosynthetic_photon_flux_in_sea_water renaming to PAR
WARNING 2019-11-27 02:17:18,061Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mass_concentration_of_chlorophyll_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
WARNING 2019-11-27 02:17:18,062Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'Output470' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
WARNING 2019-11-27 02:17:18,062Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'Output650' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
INFO 2019-11-27 02:17:18,065Z lrauvNc4ToNetcdf.py createSeries():225 concentration_of_chromophoric_dissolved_organic_matter_in_sea_water: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [26978 26979 26980 26981 26982 26983 26984 26985 26986 26987 26988 26989
 26990 26991 26992 26993 26994 26995 26996 26997 26998 26999 27000 27001
 27002 27003 27004 27005 27006 27007 27008 27009 27010 27011 27012 27013
 27014 27015 27016 27017 27018 27019]
INFO 2019-11-27 02:17:18,067Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019']
INFO 2019-11-27 02:17:18,068Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09] for variable concentration_of_chromophoric_dissolved_organic_matter_in_sea_water
INFO 2019-11-27 02:17:18,386Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group WetLabsSeaOWL_UV_A parameter concentration_of_chromophoric_dissolved_organic_matter_in_sea_water renaming to chromophoric_dissolved_organic_matter
INFO 2019-11-27 02:17:18,389Z lrauvNc4ToNetcdf.py createSeries():225 mass_concentration_of_chlorophyll_in_sea_water: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [26978 26979 26980 26981 26982 26983 26984 26985 26986 26987 26988 26989
 26990 26991 26992 26993 26994 26995 26996 26997 26998 26999 27000 27001
 27002 27003 27004 27005 27006 27007 27008 27009 27010 27011 27012 27013
 27014 27015 27016 27017 27018 27019]
INFO 2019-11-27 02:17:18,391Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019']
INFO 2019-11-27 02:17:18,392Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09] for variable mass_concentration_of_chlorophyll_in_sea_water
INFO 2019-11-27 02:17:18,710Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group WetLabsSeaOWL_UV_A parameter mass_concentration_of_chlorophyll_in_sea_water renaming to chlorophyll
INFO 2019-11-27 02:17:18,713Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable BackscatteringCoeff700nm empty so skipping
INFO 2019-11-27 02:17:18,716Z lrauvNc4ToNetcdf.py createSeries():225 VolumeScatCoeff117deg700nm: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [26978 26979 26980 26981 26982 26983 26984 26985 26986 26987 26988 26989
 26990 26991 26992 26993 26994 26995 26996 26997 26998 26999 27000 27001
 27002 27003 27004 27005 27006 27007 27008 27009 27010 27011 27012 27013
 27014 27015 27016 27017 27018 27019]
INFO 2019-11-27 02:17:18,718Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019']
INFO 2019-11-27 02:17:18,719Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09] for variable VolumeScatCoeff117deg700nm
INFO 2019-11-27 02:17:19,037Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group WetLabsSeaOWL_UV_A parameter VolumeScatCoeff117deg700nm renaming to VolumeScatCoeff117deg700nm
INFO 2019-11-27 02:17:19,040Z lrauvNc4ToNetcdf.py createSeries():225 mass_concentration_of_petroleum_hydrocarbons_in_sea_water: v_t values found before 2019-11-26 06:15:00 and after 2019-11-26 15:08:00: [26978 26979 26980 26981 26982 26983 26984 26985 26986 26987 26988 26989
 26990 26991 26992 26993 26994 26995 26996 26997 26998 26999 27000 27001
 27002 27003 27004 27005 27006 27007 27008 27009 27010 27011 27012 27013
 27014 27015 27016 27017 27018 27019]
INFO 2019-11-27 02:17:19,041Z lrauvNc4ToNetcdf.py createSeries():226 Their times:  ['Tue Nov 26 15:08:00 2019', 'Tue Nov 26 15:08:01 2019', 'Tue Nov 26 15:08:03 2019', 'Tue Nov 26 15:08:04 2019', 'Tue Nov 26 15:08:05 2019', 'Tue Nov 26 15:08:06 2019', 'Tue Nov 26 15:08:07 2019', 'Tue Nov 26 15:08:08 2019', 'Tue Nov 26 15:08:09 2019', 'Tue Nov 26 15:08:10 2019', 'Tue Nov 26 15:08:11 2019', 'Tue Nov 26 15:08:12 2019', 'Tue Nov 26 15:08:13 2019', 'Tue Nov 26 15:08:14 2019', 'Tue Nov 26 15:08:15 2019', 'Tue Nov 26 15:08:16 2019', 'Tue Nov 26 15:08:17 2019', 'Tue Nov 26 15:08:18 2019', 'Tue Nov 26 15:08:19 2019', 'Tue Nov 26 15:08:21 2019', 'Tue Nov 26 15:08:22 2019', 'Tue Nov 26 15:08:23 2019', 'Tue Nov 26 15:08:24 2019', 'Tue Nov 26 15:08:25 2019', 'Tue Nov 26 15:08:26 2019', 'Tue Nov 26 15:08:27 2019', 'Tue Nov 26 15:08:28 2019', 'Tue Nov 26 15:08:29 2019', 'Tue Nov 26 15:08:30 2019', 'Tue Nov 26 15:08:31 2019', 'Tue Nov 26 15:08:32 2019', 'Tue Nov 26 15:08:33 2019', 'Tue Nov 26 15:08:34 2019', 'Tue Nov 26 15:08:35 2019', 'Tue Nov 26 15:08:36 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:38 2019', 'Tue Nov 26 15:08:40 2019', 'Tue Nov 26 15:08:41 2019', 'Tue Nov 26 15:08:42 2019', 'Tue Nov 26 15:08:43 2019', 'Tue Nov 26 15:08:43 2019']
INFO 2019-11-27 02:17:19,043Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57478088e+09 1.57478088e+09 1.57478088e+09 1.57478088e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478089e+09 1.57478089e+09
 1.57478089e+09 1.57478089e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478090e+09
 1.57478090e+09 1.57478090e+09 1.57478090e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478091e+09 1.57478091e+09 1.57478091e+09
 1.57478091e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09 1.57478092e+09 1.57478092e+09
 1.57478092e+09 1.57478092e+09] for variable mass_concentration_of_petroleum_hydrocarbons_in_sea_water
INFO 2019-11-27 02:17:19,362Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group WetLabsSeaOWL_UV_A parameter mass_concentration_of_petroleum_hydrocarbons_in_sea_water renaming to petroleum_hydrocarbons
INFO 2019-11-27 02:17:19,364Z lrauvNc4ToNetcdf.py nudge_coords():609 /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508.nc4
DEBUG 2019-11-27 02:17:20,288Z lrauvNc4ToNetcdf.py var_series():597 longitude: rad_to_deg = True
DEBUG 2019-11-27 02:17:21,208Z lrauvNc4ToNetcdf.py var_series():597 latitude: rad_to_deg = True
DEBUG 2019-11-27 02:17:21,251Z lrauvNc4ToNetcdf.py var_series():597 longitude_fix: rad_to_deg = False
DEBUG 2019-11-27 02:17:21,288Z lrauvNc4ToNetcdf.py var_series():597 latitude_fix: rad_to_deg = False
INFO 2019-11-27 02:17:21,288Z 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 02:17:21,290Z lrauvNc4ToNetcdf.py nudge_coords():643                  -            -            -       138      0.92              -              -                             -
INFO 2019-11-27 02:17:21,300Z 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 02:17:21,307Z 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 02:17:21,313Z 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 02:17:21,319Z 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 02:17:21,326Z 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 02:17:21,333Z 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 02:17:21,339Z 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 02:17:21,346Z 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 02:17:21,352Z 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 02:17:21,359Z 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 02:17:21,365Z 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 02:17:21,372Z 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 02:17:21,378Z 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 02:17:21,384Z 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 02:17:21,391Z 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 02:17:21,398Z 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 02:17:21,405Z 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 02:17:21,412Z 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 02:17:21,419Z 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 02:17:21,426Z 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 02:17:21,434Z 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 02:17:21,441Z 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 02:17:21,448Z 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 02:17:21,456Z 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 02:17:21,464Z lrauvNc4ToNetcdf.py nudge_coords():695   25:            -            -            -         5      0.03              -              -
INFO 2019-11-27 02:17:21,464Z lrauvNc4ToNetcdf.py nudge_coords():699 Points in final series = 78945
DEBUG 2019-11-27 02:17:21,465Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():525 Constructing trackingdb url to 3600 seconds beyond time range of file
INFO 2019-11-27 02:17:21,484Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():533 http://odss.mbari.org/trackingdb/position/whoidhs_ac/between/20191126T051554/20191126T160845/data.csv
INFO 2019-11-27 02:17:21,514Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():556 Found 0 position values from the Tracking database
INFO 2019-11-27 02:17:21,520Z lrauvNc4ToNetcdf.py processResampleNc4File():1120 ['salinity', 'temperature', 'PAR', 'chromophoric_dissolved_organic_matter', 'chlorophyll', 'VolumeScatCoeff117deg700nm', 'petroleum_hydrocarbons', 'latitude', 'longitude', 'depth', 'time']
DEBUG 2019-11-27 02:17:21,522Z lrauvNc4ToNetcdf.py write_netcdf():120 Creating netCDF file /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508_10S_sci.nc
DEBUG 2019-11-27 02:17:21,527Z lrauvNc4ToNetcdf.py write_netcdf():144 Adding in record variable time
DEBUG 2019-11-27 02:17:21,584Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable salinity
DEBUG 2019-11-27 02:17:21,597Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable temperature
DEBUG 2019-11-27 02:17:21,609Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable PAR
DEBUG 2019-11-27 02:17:21,622Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable chromophoric_dissolved_organic_matter
DEBUG 2019-11-27 02:17:21,634Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable chlorophyll
DEBUG 2019-11-27 02:17:21,647Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable VolumeScatCoeff117deg700nm
DEBUG 2019-11-27 02:17:21,659Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable petroleum_hydrocarbons
DEBUG 2019-11-27 02:17:21,671Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable latitude
DEBUG 2019-11-27 02:17:21,691Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable longitude
DEBUG 2019-11-27 02:17:21,703Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable depth
DEBUG 2019-11-27 02:17:21,716Z lrauvNc4ToNetcdf.py write_netcdf():163 Adding in global metadata
INFO 2019-11-27 02:17:21,957Z lrauvNc4ToNetcdf.py processResampleNc4File():1123 Wrote /mbari/LRAUV/whoidhs/missionlogs/2019/20191125_20191126/20191126T061554/201911260615_201911261508_10S_sci.nc