INFO 2020-02-12 01:46:20,848Z lrauvNc4ToNetcdf.py processResampleNc4File():979 Reading /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641.nc4 file... INFO 2020-02-12 01:46:20,849Z lrauvNc4ToNetcdf.py processResampleNc4File():980 After copying to /tmp/202002101309_202002101641.nc4 INFO 2020-02-12 01:46:21,915Z lrauvNc4ToNetcdf.py processResampleNc4File():982 Read file /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641.nc4 INFO 2020-02-12 01:46:21,936Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2020-02-10 13:09:00 and after 2020-02-10 16:41:00: [28850 28851 28852 28853 28854 28855 28856 28857 28858 28859 28860 28861 28862 28863 28864 28865 28866 28867 28868 28869 28870 28871 28872 28873 28874 28875 28876 28877 28878 28879 28880 28881 28882 28883 28884 28885 28886 28887 28888 28889 28890 28891 28892 28893 28894 28895 28896 28897 28898 28899 28900 28901 28902 28903 28904 28905 28906 28907 28908 28909 28910 28911 28912 28913 28914 28915 28916 28917] INFO 2020-02-12 01:46:21,944Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:27 2020'] INFO 2020-02-12 01:46:21,952Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09] for variable latitude INFO 2020-02-12 01:46:22,316Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2020-02-10 13:09:00 and after 2020-02-10 16:41:00: [28850 28851 28852 28853 28854 28855 28856 28857 28858 28859 28860 28861 28862 28863 28864 28865 28866 28867 28868 28869 28870 28871 28872 28873 28874 28875 28876 28877 28878 28879 28880 28881 28882 28883 28884 28885 28886 28887 28888 28889 28890 28891 28892 28893 28894 28895 28896 28897 28898 28899 28900 28901 28902 28903 28904 28905 28906 28907 28908 28909 28910 28911 28912 28913 28914 28915 28916 28917] INFO 2020-02-12 01:46:22,324Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:27 2020'] INFO 2020-02-12 01:46:22,334Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09] for variable longitude INFO 2020-02-12 01:46:22,706Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2020-02-10 13:09:00 and after 2020-02-10 16:41:00: [31363 31364 31365 31366 31367 31368 31369 31370 31371 31372 31373 31374 31375 31376 31377 31378 31379 31380 31381 31382 31383 31384 31385 31386 31387 31388 31389 31390 31391 31392 31393 31394 31395 31396 31397 31398 31399 31400 31401 31402 31403 31404 31405 31406 31407 31408 31409 31410 31411 31412 31413 31414 31415 31416 31417 31418 31419 31420 31421 31422 31423 31424 31425 31426 31427 31428 31429 31430 31431] INFO 2020-02-12 01:46:22,718Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:27 2020', 'Mon Feb 10 16:41:27 2020'] INFO 2020-02-12 01:46:22,728Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09] for variable depth INFO 2020-02-12 01:46:23,122Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2020-02-10 13:09:00 and after 2020-02-10 16:41:00: [31365 31366 31367 31368 31369 31370 31371 31372 31373 31374 31375 31376 31377 31378 31379 31380 31381 31382 31383 31384 31385 31386 31387 31388 31389 31390 31391 31392 31393 31394 31395 31396 31397 31398 31399 31400 31401 31402 31403 31404 31405 31406 31407 31408 31409 31410 31411 31412 31413 31414 31415 31416 31417 31418 31419 31420 31421 31422 31423 31424 31425 31426 31427 31428 31429 31430 31431 31432 31433] INFO 2020-02-12 01:46:23,131Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:27 2020', 'Mon Feb 10 16:41:27 2020'] INFO 2020-02-12 01:46:23,139Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09] for variable time INFO 2020-02-12 01:46:23,539Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2020-02-10 13:09:00 and after 2020-02-10 16:41:00: [28850 28851 28852 28853 28854 28855 28856 28857 28858 28859 28860 28861 28862 28863 28864 28865 28866 28867 28868 28869 28870 28871 28872 28873 28874 28875 28876 28877 28878 28879 28880 28881 28882 28883 28884 28885 28886 28887 28888 28889 28890 28891 28892 28893 28894 28895 28896 28897 28898 28899 28900 28901 28902 28903 28904 28905 28906 28907 28908 28909 28910 28911 28912 28913 28914 28915 28916 28917] INFO 2020-02-12 01:46:23,547Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:27 2020'] INFO 2020-02-12 01:46:23,555Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09] for variable latitude INFO 2020-02-12 01:46:23,920Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2020-02-10 13:09:00 and after 2020-02-10 16:41:00: [28850 28851 28852 28853 28854 28855 28856 28857 28858 28859 28860 28861 28862 28863 28864 28865 28866 28867 28868 28869 28870 28871 28872 28873 28874 28875 28876 28877 28878 28879 28880 28881 28882 28883 28884 28885 28886 28887 28888 28889 28890 28891 28892 28893 28894 28895 28896 28897 28898 28899 28900 28901 28902 28903 28904 28905 28906 28907 28908 28909 28910 28911 28912 28913 28914 28915 28916 28917] INFO 2020-02-12 01:46:23,929Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:27 2020'] INFO 2020-02-12 01:46:23,936Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09] for variable longitude INFO 2020-02-12 01:46:24,300Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2020-02-10 13:09:00 and after 2020-02-10 16:41:00: [31363 31364 31365 31366 31367 31368 31369 31370 31371 31372 31373 31374 31375 31376 31377 31378 31379 31380 31381 31382 31383 31384 31385 31386 31387 31388 31389 31390 31391 31392 31393 31394 31395 31396 31397 31398 31399 31400 31401 31402 31403 31404 31405 31406 31407 31408 31409 31410 31411 31412 31413 31414 31415 31416 31417 31418 31419 31420 31421 31422 31423 31424 31425 31426 31427 31428 31429 31430 31431] INFO 2020-02-12 01:46:24,310Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:27 2020', 'Mon Feb 10 16:41:27 2020'] INFO 2020-02-12 01:46:24,321Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09] for variable depth INFO 2020-02-12 01:46:24,723Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2020-02-10 13:09:00 and after 2020-02-10 16:41:00: [31365 31366 31367 31368 31369 31370 31371 31372 31373 31374 31375 31376 31377 31378 31379 31380 31381 31382 31383 31384 31385 31386 31387 31388 31389 31390 31391 31392 31393 31394 31395 31396 31397 31398 31399 31400 31401 31402 31403 31404 31405 31406 31407 31408 31409 31410 31411 31412 31413 31414 31415 31416 31417 31418 31419 31420 31421 31422 31423 31424 31425 31426 31427 31428 31429 31430 31431 31432 31433] INFO 2020-02-12 01:46:24,733Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:27 2020', 'Mon Feb 10 16:41:27 2020'] INFO 2020-02-12 01:46:24,744Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09] for variable time INFO 2020-02-12 01:46:25,137Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2020-02-10 13:09:00 and after 2020-02-10 16:41:00: [28850 28851 28852 28853 28854 28855 28856 28857 28858 28859 28860 28861 28862 28863 28864 28865 28866 28867 28868 28869 28870 28871 28872 28873 28874 28875 28876 28877 28878 28879 28880 28881 28882 28883 28884 28885 28886 28887 28888 28889 28890 28891 28892 28893 28894 28895 28896 28897 28898 28899 28900 28901 28902 28903 28904 28905 28906 28907 28908 28909 28910 28911 28912 28913 28914 28915 28916 28917] INFO 2020-02-12 01:46:25,148Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:27 2020'] INFO 2020-02-12 01:46:25,158Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09] for variable latitude INFO 2020-02-12 01:46:25,523Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2020-02-10 13:09:00 and after 2020-02-10 16:41:00: [28850 28851 28852 28853 28854 28855 28856 28857 28858 28859 28860 28861 28862 28863 28864 28865 28866 28867 28868 28869 28870 28871 28872 28873 28874 28875 28876 28877 28878 28879 28880 28881 28882 28883 28884 28885 28886 28887 28888 28889 28890 28891 28892 28893 28894 28895 28896 28897 28898 28899 28900 28901 28902 28903 28904 28905 28906 28907 28908 28909 28910 28911 28912 28913 28914 28915 28916 28917] INFO 2020-02-12 01:46:25,531Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:27 2020'] INFO 2020-02-12 01:46:25,539Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09] for variable longitude INFO 2020-02-12 01:46:25,905Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2020-02-10 13:09:00 and after 2020-02-10 16:41:00: [31363 31364 31365 31366 31367 31368 31369 31370 31371 31372 31373 31374 31375 31376 31377 31378 31379 31380 31381 31382 31383 31384 31385 31386 31387 31388 31389 31390 31391 31392 31393 31394 31395 31396 31397 31398 31399 31400 31401 31402 31403 31404 31405 31406 31407 31408 31409 31410 31411 31412 31413 31414 31415 31416 31417 31418 31419 31420 31421 31422 31423 31424 31425 31426 31427 31428 31429 31430 31431] INFO 2020-02-12 01:46:25,918Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:27 2020', 'Mon Feb 10 16:41:27 2020'] INFO 2020-02-12 01:46:25,931Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09] for variable depth INFO 2020-02-12 01:46:26,332Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2020-02-10 13:09:00 and after 2020-02-10 16:41:00: [31365 31366 31367 31368 31369 31370 31371 31372 31373 31374 31375 31376 31377 31378 31379 31380 31381 31382 31383 31384 31385 31386 31387 31388 31389 31390 31391 31392 31393 31394 31395 31396 31397 31398 31399 31400 31401 31402 31403 31404 31405 31406 31407 31408 31409 31410 31411 31412 31413 31414 31415 31416 31417 31418 31419 31420 31421 31422 31423 31424 31425 31426 31427 31428 31429 31430 31431 31432 31433] INFO 2020-02-12 01:46:26,341Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:27 2020', 'Mon Feb 10 16:41:27 2020'] INFO 2020-02-12 01:46:26,350Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09] for variable time INFO 2020-02-12 01:46:26,772Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2020-02-10 13:09:00 and after 2020-02-10 16:41:00: [28850 28851 28852 28853 28854 28855 28856 28857 28858 28859 28860 28861 28862 28863 28864 28865 28866 28867 28868 28869 28870 28871 28872 28873 28874 28875 28876 28877 28878 28879 28880 28881 28882 28883 28884 28885 28886 28887 28888 28889 28890 28891 28892 28893 28894 28895 28896 28897 28898 28899 28900 28901 28902 28903 28904 28905 28906 28907 28908 28909 28910 28911 28912 28913 28914 28915 28916 28917] INFO 2020-02-12 01:46:26,782Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:27 2020'] INFO 2020-02-12 01:46:26,790Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09] for variable latitude INFO 2020-02-12 01:46:27,157Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2020-02-10 13:09:00 and after 2020-02-10 16:41:00: [28850 28851 28852 28853 28854 28855 28856 28857 28858 28859 28860 28861 28862 28863 28864 28865 28866 28867 28868 28869 28870 28871 28872 28873 28874 28875 28876 28877 28878 28879 28880 28881 28882 28883 28884 28885 28886 28887 28888 28889 28890 28891 28892 28893 28894 28895 28896 28897 28898 28899 28900 28901 28902 28903 28904 28905 28906 28907 28908 28909 28910 28911 28912 28913 28914 28915 28916 28917] INFO 2020-02-12 01:46:27,166Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:27 2020'] INFO 2020-02-12 01:46:27,175Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09] for variable longitude INFO 2020-02-12 01:46:27,542Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2020-02-10 13:09:00 and after 2020-02-10 16:41:00: [31363 31364 31365 31366 31367 31368 31369 31370 31371 31372 31373 31374 31375 31376 31377 31378 31379 31380 31381 31382 31383 31384 31385 31386 31387 31388 31389 31390 31391 31392 31393 31394 31395 31396 31397 31398 31399 31400 31401 31402 31403 31404 31405 31406 31407 31408 31409 31410 31411 31412 31413 31414 31415 31416 31417 31418 31419 31420 31421 31422 31423 31424 31425 31426 31427 31428 31429 31430 31431] INFO 2020-02-12 01:46:27,552Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:27 2020', 'Mon Feb 10 16:41:27 2020'] INFO 2020-02-12 01:46:27,560Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09] for variable depth INFO 2020-02-12 01:46:27,951Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2020-02-10 13:09:00 and after 2020-02-10 16:41:00: [31365 31366 31367 31368 31369 31370 31371 31372 31373 31374 31375 31376 31377 31378 31379 31380 31381 31382 31383 31384 31385 31386 31387 31388 31389 31390 31391 31392 31393 31394 31395 31396 31397 31398 31399 31400 31401 31402 31403 31404 31405 31406 31407 31408 31409 31410 31411 31412 31413 31414 31415 31416 31417 31418 31419 31420 31421 31422 31423 31424 31425 31426 31427 31428 31429 31430 31431 31432 31433] INFO 2020-02-12 01:46:27,961Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:27 2020', 'Mon Feb 10 16:41:27 2020'] INFO 2020-02-12 01:46:27,979Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09] for variable time INFO 2020-02-12 01:46:28,351Z lrauvNc4ToNetcdf.py processResampleNc4File():987 Creating t variable of the time indexes WARNING 2020-02-12 01:46:28,364Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mass_concentration_of_oxygen_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641.nc4 WARNING 2020-02-12 01:46:28,364Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_salinity' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641.nc4 WARNING 2020-02-12 01:46:28,364Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_temperature' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641.nc4 WARNING 2020-02-12 01:46:28,365Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_salinity' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641.nc4 WARNING 2020-02-12 01:46:28,365Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_temperature' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641.nc4 WARNING 2020-02-12 01:46:28,365Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mole_concentration_of_nitrate_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641.nc4 INFO 2020-02-12 01:46:28,370Z lrauvNc4ToNetcdf.py createSeries():225 downwelling_photosynthetic_photon_flux_in_sea_water: v_t values found before 2020-02-10 13:09:00 and after 2020-02-10 16:41:00: [31365 31366 31367 31368 31369 31370 31371 31372 31373 31374 31375 31376 31377 31378 31379 31380 31381 31382 31383 31384 31385 31386 31387 31388 31389 31390 31391 31392 31393 31394 31395 31396 31397 31398 31399 31400 31401 31402 31403 31404 31405 31406 31407 31408 31409 31410 31411 31412 31413 31414 31415 31416 31417 31418 31419 31420 31421 31422 31423 31424 31425 31426 31427 31428 31429 31430 31431 31432] INFO 2020-02-12 01:46:28,371Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:08 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:23 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:24 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:27 2020'] INFO 2020-02-12 01:46:28,373Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135286e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09] for variable downwelling_photosynthetic_photon_flux_in_sea_water INFO 2020-02-12 01:46:28,764Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group PAR_Licor parameter downwelling_photosynthetic_photon_flux_in_sea_water renaming to PAR WARNING 2020-02-12 01:46:28,765Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mass_concentration_of_chlorophyll_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641.nc4 WARNING 2020-02-12 01:46:28,765Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'Output470' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641.nc4 WARNING 2020-02-12 01:46:28,765Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'Output650' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641.nc4 INFO 2020-02-12 01:46:28,772Z 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 2020-02-12 01:46:28,778Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group WetLabsSeaOWL_UV_A parameter mass_concentration_of_chlorophyll_in_sea_water renaming to chlorophyll INFO 2020-02-12 01:46:28,780Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable BackscatteringCoeff700nm empty so skipping INFO 2020-02-12 01:46:28,786Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group WetLabsSeaOWL_UV_A parameter VolumeScatCoeff117deg700nm renaming to VolumeScatCoeff117deg700nm INFO 2020-02-12 01:46:28,792Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group WetLabsSeaOWL_UV_A parameter mass_concentration_of_petroleum_hydrocarbons_in_sea_water renaming to petroleum_hydrocarbons INFO 2020-02-12 01:46:28,793Z lrauvNc4ToNetcdf.py nudge_coords():609 /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641.nc4 DEBUG 2020-02-12 01:46:29,180Z lrauvNc4ToNetcdf.py var_series():597 longitude: rad_to_deg = True DEBUG 2020-02-12 01:46:29,564Z lrauvNc4ToNetcdf.py var_series():597 latitude: rad_to_deg = True DEBUG 2020-02-12 01:46:29,604Z lrauvNc4ToNetcdf.py var_series():597 longitude_fix: rad_to_deg = False DEBUG 2020-02-12 01:46:29,639Z lrauvNc4ToNetcdf.py var_series():597 latitude_fix: rad_to_deg = False INFO 2020-02-12 01:46:29,639Z 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 2020-02-12 01:46:29,640Z lrauvNc4ToNetcdf.py nudge_coords():643 - - - 0 0.00 - - - INFO 2020-02-12 01:46:29,643Z lrauvNc4ToNetcdf.py nudge_coords():695 1: - - - 28918 212.41 - - INFO 2020-02-12 01:46:29,643Z lrauvNc4ToNetcdf.py nudge_coords():699 Points in final series = 28918 DEBUG 2020-02-12 01:46:29,644Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():525 Constructing trackingdb url to 3600 seconds beyond time range of file INFO 2020-02-12 01:46:29,661Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():533 http://odss.mbari.org/trackingdb/position/whoidhs_ac/between/20200210T120902/20200210T174127/data.csv INFO 2020-02-12 01:46:29,707Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():556 Found 0 position values from the Tracking database INFO 2020-02-12 01:46:29,712Z lrauvNc4ToNetcdf.py processResampleNc4File():1120 ['PAR', 'chromophoric_dissolved_organic_matter', 'chlorophyll', 'VolumeScatCoeff117deg700nm', 'petroleum_hydrocarbons', 'latitude', 'longitude', 'depth', 'time'] DEBUG 2020-02-12 01:46:29,715Z lrauvNc4ToNetcdf.py write_netcdf():120 Creating netCDF file /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641_10S_sci.nc DEBUG 2020-02-12 01:46:29,723Z lrauvNc4ToNetcdf.py write_netcdf():144 Adding in record variable time DEBUG 2020-02-12 01:46:29,772Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable PAR DEBUG 2020-02-12 01:46:29,780Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable chromophoric_dissolved_organic_matter DEBUG 2020-02-12 01:46:29,787Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable chlorophyll DEBUG 2020-02-12 01:46:29,793Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable VolumeScatCoeff117deg700nm DEBUG 2020-02-12 01:46:29,800Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable petroleum_hydrocarbons DEBUG 2020-02-12 01:46:29,806Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable latitude DEBUG 2020-02-12 01:46:29,814Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable longitude DEBUG 2020-02-12 01:46:29,820Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable depth DEBUG 2020-02-12 01:46:29,832Z lrauvNc4ToNetcdf.py write_netcdf():163 Adding in global metadata INFO 2020-02-12 01:46:30,012Z lrauvNc4ToNetcdf.py processResampleNc4File():1123 Wrote /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641_10S_sci.nc