INFO 2020-02-12 01:42:20,105Z lrauvNc4ToNetcdf.py processResampleNc4File():979 Reading /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641.nc4 file... INFO 2020-02-12 01:42:20,106Z lrauvNc4ToNetcdf.py processResampleNc4File():980 After copying to /tmp/202002101309_202002101641.nc4 INFO 2020-02-12 01:42:21,236Z lrauvNc4ToNetcdf.py processResampleNc4File():982 Read file /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641.nc4 INFO 2020-02-12 01:42:21,262Z 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 01:42:21,271Z 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 01:42:21,280Z 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 01:42:21,644Z 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 01:42:21,653Z 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 01:42:21,661Z 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 01:42:22,032Z 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 01:42:22,041Z 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 01:42:22,050Z 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 01:42:22,436Z 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 01:42:22,445Z 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 01:42:22,453Z 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 01:42:22,850Z 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 01:42:22,859Z 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 01:42:22,868Z 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 01:42:23,222Z 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 01:42:23,231Z 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 01:42:23,239Z 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 01:42:23,591Z 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 01:42:23,600Z 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 01:42:23,609Z 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 01:42:24,002Z 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 01:42:24,012Z 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 01:42:24,020Z 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 01:42:24,404Z 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 01:42:24,413Z 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 01:42:24,421Z 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 01:42:24,775Z 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 01:42:24,784Z 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 01:42:24,792Z 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 01:42:25,155Z 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 01:42:25,165Z 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 01:42:25,173Z 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 01:42:25,558Z 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 01:42:25,567Z 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 01:42:25,575Z 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 01:42:25,972Z 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 01:42:25,982Z 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 01:42:25,991Z 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 01:42:26,344Z 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 01:42:26,353Z 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 01:42:26,361Z 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 01:42:26,718Z 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 01:42:26,726Z 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 01:42:26,734Z 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 01:42:27,129Z 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 01:42:27,137Z 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 01:42:27,145Z 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 01:42:27,510Z lrauvNc4ToNetcdf.py processResampleNc4File():987 Creating t variable of the time indexes INFO 2020-02-12 01:42:27,524Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable time_fix empty so skipping INFO 2020-02-12 01:42:27,527Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable latitude_fix empty so skipping INFO 2020-02-12 01:42:27,529Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable longitude_fix empty so skipping WARNING 2020-02-12 01:42:27,530Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mass_concentration_of_oxygen_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641.nc4 INFO 2020-02-12 01:42:27,532Z lrauvNc4ToNetcdf.py createSeries():225 platform_buoyancy_position: v_t values found before 2020-02-10 13:09:00 and after 2020-02-10 16:41:00: [10701] INFO 2020-02-12 01:42:27,533Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Feb 10 16:41:24 2020'] INFO 2020-02-12 01:42:27,534Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58135288e+09] for variable platform_buoyancy_position INFO 2020-02-12 01:42:27,667Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group BuoyancyServo parameter platform_buoyancy_position renaming to control_inputs_buoyancy_position WARNING 2020-02-12 01:42:27,668Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_salinity' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641.nc4 WARNING 2020-02-12 01:42:27,668Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_temperature' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641.nc4 WARNING 2020-02-12 01:42:27,668Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_salinity' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641.nc4 WARNING 2020-02-12 01:42:27,668Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_temperature' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641.nc4 INFO 2020-02-12 01:42:27,676Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group ElevatorServo parameter platform_elevator_angle renaming to control_inputs_elevator_angle WARNING 2020-02-12 01:42:27,676Z 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 01:42:27,677Z lrauvNc4ToNetcdf.py createSeries():225 platform_mass_position: v_t values found before 2020-02-10 13:09:00 and after 2020-02-10 16:41:00: [1241 1242 1243 1244 1245] INFO 2020-02-12 01:42:27,678Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['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'] INFO 2020-02-12 01:42:27,679Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09 1.58135288e+09] for variable platform_mass_position INFO 2020-02-12 01:42:27,700Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group MassServo parameter platform_mass_position renaming to control_inputs_mass_position INFO 2020-02-12 01:42:27,704Z 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 01:42:27,705Z 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 01:42:27,707Z 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 01:42:28,084Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group PAR_Licor parameter downwelling_photosynthetic_photon_flux_in_sea_water renaming to PAR INFO 2020-02-12 01:42:28,092Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group RudderServo parameter platform_rudder_angle renaming to control_inputs_rudder_angle INFO 2020-02-12 01:42:28,098Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group ThrusterServo parameter platform_propeller_rotation_rate renaming to control_inputs_propeller_rotation_rate WARNING 2020-02-12 01:42:28,098Z 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 01:42:28,099Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'Output470' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641.nc4 WARNING 2020-02-12 01:42:28,099Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'Output650' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641.nc4 INFO 2020-02-12 01:42:28,105Z 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 01:42:28,111Z 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 01:42:28,113Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable BackscatteringCoeff700nm empty so skipping INFO 2020-02-12 01:42:28,119Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group WetLabsSeaOWL_UV_A parameter VolumeScatCoeff117deg700nm renaming to VolumeScatCoeff117deg700nm INFO 2020-02-12 01:42:28,125Z 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 01:42:28,128Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable fix_residual_percent_distance_traveled empty so skipping INFO 2020-02-12 01:42:28,131Z 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 01:42:28,133Z 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 01:42:28,134Z 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 01:42:28,484Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter longitude renaming to pose_longitude_DeadReckonUsingMultipleVelocitySources INFO 2020-02-12 01:42:28,487Z 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 01:42:28,489Z 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 01:42:28,491Z 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 01:42:28,844Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter latitude renaming to pose_latitude_DeadReckonUsingMultipleVelocitySources INFO 2020-02-12 01:42:28,848Z lrauvNc4ToNetcdf.py createSeries():225 depth: 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 01:42:28,849Z 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 01:42:28,851Z 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 depth INFO 2020-02-12 01:42:29,201Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter depth renaming to pose_depth_DeadReckonUsingMultipleVelocitySources WARNING 2020-02-12 01:42:29,201Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'fix_residual_percent_distance_traveled' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641.nc4 WARNING 2020-02-12 01:42:29,201Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'longitude' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641.nc4 WARNING 2020-02-12 01:42:29,201Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'latitude' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641.nc4 WARNING 2020-02-12 01:42:29,202Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'depth' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641.nc4 INFO 2020-02-12 01:42:29,213Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group BPC1 parameter platform_battery_charge renaming to health_platform_battery_charge INFO 2020-02-12 01:42:29,223Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group BPC1 parameter platform_battery_voltage renaming to health_platform_average_voltage INFO 2020-02-12 01:42:29,234Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group Onboard parameter platform_average_current renaming to health_platform_average_current INFO 2020-02-12 01:42:29,255Z lrauvNc4ToNetcdf.py createSeries():225 platform_pitch_angle: v_t values found before 2020-02-10 13:09:00 and after 2020-02-10 16:41:00: [30521 30523 30524 30525 30526 30527 30528 30529 30530 30531 30532 30533 30534 30535 30536 30537 30538 30539 30540 30541 30542 30543 30544 30545 30546 30547 30548 30549 30550 30551 30552 30553 30554 30555 30556 30557 30558 30559 30560 30561 30562 30563 30564 30565 30566 30567 30568 30569 30570 30571 30572 30573 30574 30575 30576 30577 30578 30579 30580 30581 30582 30583 30584 30585 30586 30587] INFO 2020-02-12 01:42:29,442Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:08 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 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:21 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 16:41:24 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020'] INFO 2020-02-12 01:42:29,628Z 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 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+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 1.58135287e+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 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09] for variable platform_pitch_angle DEBUG 2020-02-12 01:42:29,986Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for pitch DEBUG 2020-02-12 01:42:29,993Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for pitch INFO 2020-02-12 01:42:29,994Z lrauvNc4ToNetcdf.py createNav():489 platform_pitch_angle -> pitch: {'units': 'rad', 'standard_name': 'platform_pitch_angle', 'coordinates': 'time depth latitude longitude'} INFO 2020-02-12 01:42:30,015Z lrauvNc4ToNetcdf.py createSeries():225 platform_roll_angle: v_t values found before 2020-02-10 13:09:00 and after 2020-02-10 16:41:00: [30521 30523 30524 30525 30526 30527 30528 30529 30530 30531 30532 30533 30534 30535 30536 30537 30538 30539 30540 30541 30542 30543 30544 30545 30546 30547 30548 30549 30550 30551 30552 30553 30554 30555 30556 30557 30558 30559 30560 30561 30562 30563 30564 30565 30566 30567 30568 30569 30570 30571 30572 30573 30574 30575 30576 30577 30578 30579 30580 30581 30582 30583 30584 30585 30586 30587] INFO 2020-02-12 01:42:30,217Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:08 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 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:21 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 16:41:24 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020'] INFO 2020-02-12 01:42:30,405Z 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 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+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 1.58135287e+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 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09] for variable platform_roll_angle DEBUG 2020-02-12 01:42:30,764Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for roll DEBUG 2020-02-12 01:42:30,770Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for roll INFO 2020-02-12 01:42:30,772Z lrauvNc4ToNetcdf.py createNav():489 platform_roll_angle -> roll: {'units': 'rad', 'standard_name': 'platform_roll_angle', 'coordinates': 'time depth latitude longitude'} INFO 2020-02-12 01:42:30,792Z lrauvNc4ToNetcdf.py createSeries():225 platform_orientation: v_t values found before 2020-02-10 13:09:00 and after 2020-02-10 16:41:00: [30521 30523 30524 30525 30526 30527 30528 30529 30530 30531 30532 30533 30534 30535 30536 30537 30538 30539 30540 30541 30542 30543 30544 30545 30546 30547 30548 30549 30550 30551 30552 30553 30554 30555 30556 30557 30558 30559 30560 30561 30562 30563 30564 30565 30566 30567 30568 30569 30570 30571 30572 30573 30574 30575 30576 30577 30578 30579 30580 30581 30582 30583 30584 30585 30586 30587] INFO 2020-02-12 01:42:30,980Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:00 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:01 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:02 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:03 2020', 'Mon Feb 10 16:41:04 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:05 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:07 2020', 'Mon Feb 10 16:41:06 2020', 'Mon Feb 10 16:41:08 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 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:09 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:10 2020', 'Mon Feb 10 16:41:11 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:12 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:13 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:14 2020', 'Mon Feb 10 16:41:15 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:16 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:17 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:18 2020', 'Mon Feb 10 16:41:19 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:20 2020', 'Mon Feb 10 16:41:21 2020', 'Mon Feb 10 16:41:22 2020', 'Mon Feb 10 16:41:21 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 16:41:24 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:25 2020', 'Mon Feb 10 16:41:26 2020', 'Mon Feb 10 16:41:26 2020'] INFO 2020-02-12 01:42:31,167Z 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 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+09 1.58135287e+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 1.58135287e+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 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09 1.58135289e+09] for variable platform_orientation DEBUG 2020-02-12 01:42:31,528Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for yaw DEBUG 2020-02-12 01:42:31,535Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for yaw INFO 2020-02-12 01:42:31,536Z lrauvNc4ToNetcdf.py createNav():489 platform_orientation -> yaw: {'units': 'rad', 'standard_name': 'platform_yaw_angle', 'coordinates': 'time depth latitude longitude'} INFO 2020-02-12 01:42:31,537Z lrauvNc4ToNetcdf.py nudge_coords():609 /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641.nc4 DEBUG 2020-02-12 01:42:31,910Z lrauvNc4ToNetcdf.py var_series():597 longitude: rad_to_deg = True DEBUG 2020-02-12 01:42:32,278Z lrauvNc4ToNetcdf.py var_series():597 latitude: rad_to_deg = True DEBUG 2020-02-12 01:42:32,313Z lrauvNc4ToNetcdf.py var_series():597 longitude_fix: rad_to_deg = False DEBUG 2020-02-12 01:42:32,345Z lrauvNc4ToNetcdf.py var_series():597 latitude_fix: rad_to_deg = False INFO 2020-02-12 01:42:32,346Z 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 01:42:32,347Z lrauvNc4ToNetcdf.py nudge_coords():643 - - - 0 0.00 - - - INFO 2020-02-12 01:42:32,350Z lrauvNc4ToNetcdf.py nudge_coords():695 1: - - - 28918 212.41 - - INFO 2020-02-12 01:42:32,350Z lrauvNc4ToNetcdf.py nudge_coords():699 Points in final series = 28918 DEBUG 2020-02-12 01:42:32,351Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():525 Constructing trackingdb url to 3600 seconds beyond time range of file INFO 2020-02-12 01:42:32,366Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():533 http://odss.mbari.org/trackingdb/position/whoidhs_ac/between/20200210T120902/20200210T174127/data.csv INFO 2020-02-12 01:42:32,387Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():556 Found 0 position values from the Tracking database INFO 2020-02-12 01:42:32,392Z lrauvNc4ToNetcdf.py processResampleNc4File():1120 ['control_inputs_buoyancy_position', 'control_inputs_elevator_angle', 'control_inputs_mass_position', 'PAR', 'control_inputs_rudder_angle', 'control_inputs_propeller_rotation_rate', 'chromophoric_dissolved_organic_matter', 'chlorophyll', 'VolumeScatCoeff117deg700nm', 'petroleum_hydrocarbons', 'pose_longitude_DeadReckonUsingMultipleVelocitySources', 'pose_latitude_DeadReckonUsingMultipleVelocitySources', 'pose_depth_DeadReckonUsingMultipleVelocitySources', 'health_platform_battery_charge', 'health_platform_average_voltage', 'health_platform_average_current', 'pitch', 'roll', 'yaw', 'latitude', 'longitude', 'depth', 'time'] DEBUG 2020-02-12 01:42:32,396Z lrauvNc4ToNetcdf.py write_netcdf():120 Creating netCDF file /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641_2S_scieng.nc DEBUG 2020-02-12 01:42:32,403Z lrauvNc4ToNetcdf.py write_netcdf():144 Adding in record variable time DEBUG 2020-02-12 01:42:32,471Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_buoyancy_position DEBUG 2020-02-12 01:42:32,479Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_elevator_angle DEBUG 2020-02-12 01:42:32,487Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_mass_position DEBUG 2020-02-12 01:42:32,494Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable PAR DEBUG 2020-02-12 01:42:32,501Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_rudder_angle DEBUG 2020-02-12 01:42:32,508Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_propeller_rotation_rate DEBUG 2020-02-12 01:42:32,515Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable chromophoric_dissolved_organic_matter DEBUG 2020-02-12 01:42:32,522Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable chlorophyll DEBUG 2020-02-12 01:42:32,539Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable VolumeScatCoeff117deg700nm DEBUG 2020-02-12 01:42:32,546Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable petroleum_hydrocarbons DEBUG 2020-02-12 01:42:32,553Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_longitude_DeadReckonUsingMultipleVelocitySources DEBUG 2020-02-12 01:42:32,567Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_latitude_DeadReckonUsingMultipleVelocitySources DEBUG 2020-02-12 01:42:32,575Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_depth_DeadReckonUsingMultipleVelocitySources DEBUG 2020-02-12 01:42:32,582Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable health_platform_battery_charge DEBUG 2020-02-12 01:42:32,589Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable health_platform_average_voltage DEBUG 2020-02-12 01:42:32,596Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable health_platform_average_current DEBUG 2020-02-12 01:42:32,602Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pitch DEBUG 2020-02-12 01:42:32,609Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable roll DEBUG 2020-02-12 01:42:32,616Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable yaw DEBUG 2020-02-12 01:42:32,623Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable latitude DEBUG 2020-02-12 01:42:32,630Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable longitude DEBUG 2020-02-12 01:42:32,637Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable depth DEBUG 2020-02-12 01:42:32,645Z lrauvNc4ToNetcdf.py write_netcdf():163 Adding in global metadata INFO 2020-02-12 01:42:32,827Z lrauvNc4ToNetcdf.py processResampleNc4File():1123 Wrote /mbari/LRAUV/whoidhs/missionlogs/2020/20200209_20200211/20200210T130848/202002101309_202002101641_2S_scieng.nc