INFO 2020-02-04 02:14:30,365Z lrauvNc4ToNetcdf.py processResampleNc4File():979 Reading /mbari/LRAUV/whoidhs/missionlogs/2020/20200124_20200127/20200125T163519/202001251635_202001251754.nc4 file... INFO 2020-02-04 02:14:30,366Z lrauvNc4ToNetcdf.py processResampleNc4File():980 After copying to /tmp/202001251635_202001251754.nc4 INFO 2020-02-04 02:14:31,262Z lrauvNc4ToNetcdf.py processResampleNc4File():982 Read file /mbari/LRAUV/whoidhs/missionlogs/2020/20200124_20200127/20200125T163519/202001251635_202001251754.nc4 INFO 2020-02-04 02:14:31,278Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2020-01-25 16:35:00 and after 2020-01-25 17:54:00: [11488 11489 11490 11491 11492 11493 11494 11495 11496 11497 11498 11499 11500 11501 11502 11503 11504] INFO 2020-02-04 02:14:31,285Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:06 2020', 'Sat Jan 25 17:54:06 2020', 'Sat Jan 25 17:54:06 2020'] INFO 2020-02-04 02:14:31,291Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09] for variable latitude INFO 2020-02-04 02:14:31,461Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2020-01-25 16:35:00 and after 2020-01-25 17:54:00: [11488 11489 11490 11491 11492 11493 11494 11495 11496 11497 11498 11499 11500 11501 11502 11503 11504] INFO 2020-02-04 02:14:31,468Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:06 2020', 'Sat Jan 25 17:54:06 2020', 'Sat Jan 25 17:54:06 2020'] INFO 2020-02-04 02:14:31,474Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09] for variable longitude INFO 2020-02-04 02:14:31,637Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2020-01-25 16:35:00 and after 2020-01-25 17:54:00: [11644 11645 11646 11647 11648 11649 11650 11651 11652 11653 11654 11655 11656 11657 11658 11659 11660] INFO 2020-02-04 02:14:31,643Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:06 2020', 'Sat Jan 25 17:54:06 2020'] INFO 2020-02-04 02:14:31,649Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09] for variable depth INFO 2020-02-04 02:14:31,813Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2020-01-25 16:35:00 and after 2020-01-25 17:54:00: [11646 11647 11648 11649 11650 11651 11652 11653 11654 11655 11656 11657 11658 11659 11660 11661 11662] INFO 2020-02-04 02:14:31,819Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:06 2020', 'Sat Jan 25 17:54:06 2020'] INFO 2020-02-04 02:14:31,825Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09] for variable time INFO 2020-02-04 02:14:31,990Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2020-01-25 16:35:00 and after 2020-01-25 17:54:00: [11488 11489 11490 11491 11492 11493 11494 11495 11496 11497 11498 11499 11500 11501 11502 11503 11504] INFO 2020-02-04 02:14:31,996Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:06 2020', 'Sat Jan 25 17:54:06 2020', 'Sat Jan 25 17:54:06 2020'] INFO 2020-02-04 02:14:32,002Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09] for variable latitude INFO 2020-02-04 02:14:32,173Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2020-01-25 16:35:00 and after 2020-01-25 17:54:00: [11488 11489 11490 11491 11492 11493 11494 11495 11496 11497 11498 11499 11500 11501 11502 11503 11504] INFO 2020-02-04 02:14:32,179Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:06 2020', 'Sat Jan 25 17:54:06 2020', 'Sat Jan 25 17:54:06 2020'] INFO 2020-02-04 02:14:32,185Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09] for variable longitude INFO 2020-02-04 02:14:32,348Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2020-01-25 16:35:00 and after 2020-01-25 17:54:00: [11644 11645 11646 11647 11648 11649 11650 11651 11652 11653 11654 11655 11656 11657 11658 11659 11660] INFO 2020-02-04 02:14:32,354Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:06 2020', 'Sat Jan 25 17:54:06 2020'] INFO 2020-02-04 02:14:32,359Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09] for variable depth INFO 2020-02-04 02:14:32,523Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2020-01-25 16:35:00 and after 2020-01-25 17:54:00: [11646 11647 11648 11649 11650 11651 11652 11653 11654 11655 11656 11657 11658 11659 11660 11661 11662] INFO 2020-02-04 02:14:32,529Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:06 2020', 'Sat Jan 25 17:54:06 2020'] INFO 2020-02-04 02:14:32,535Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09] for variable time INFO 2020-02-04 02:14:32,698Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2020-01-25 16:35:00 and after 2020-01-25 17:54:00: [11488 11489 11490 11491 11492 11493 11494 11495 11496 11497 11498 11499 11500 11501 11502 11503 11504] INFO 2020-02-04 02:14:32,704Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:06 2020', 'Sat Jan 25 17:54:06 2020', 'Sat Jan 25 17:54:06 2020'] INFO 2020-02-04 02:14:32,710Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09] for variable latitude INFO 2020-02-04 02:14:32,876Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2020-01-25 16:35:00 and after 2020-01-25 17:54:00: [11488 11489 11490 11491 11492 11493 11494 11495 11496 11497 11498 11499 11500 11501 11502 11503 11504] INFO 2020-02-04 02:14:32,882Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:06 2020', 'Sat Jan 25 17:54:06 2020', 'Sat Jan 25 17:54:06 2020'] INFO 2020-02-04 02:14:32,889Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09] for variable longitude INFO 2020-02-04 02:14:33,052Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2020-01-25 16:35:00 and after 2020-01-25 17:54:00: [11644 11645 11646 11647 11648 11649 11650 11651 11652 11653 11654 11655 11656 11657 11658 11659 11660] INFO 2020-02-04 02:14:33,058Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:06 2020', 'Sat Jan 25 17:54:06 2020'] INFO 2020-02-04 02:14:33,064Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09] for variable depth INFO 2020-02-04 02:14:33,227Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2020-01-25 16:35:00 and after 2020-01-25 17:54:00: [11646 11647 11648 11649 11650 11651 11652 11653 11654 11655 11656 11657 11658 11659 11660 11661 11662] INFO 2020-02-04 02:14:33,233Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:06 2020', 'Sat Jan 25 17:54:06 2020'] INFO 2020-02-04 02:14:33,239Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09] for variable time INFO 2020-02-04 02:14:33,404Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2020-01-25 16:35:00 and after 2020-01-25 17:54:00: [11488 11489 11490 11491 11492 11493 11494 11495 11496 11497 11498 11499 11500 11501 11502 11503 11504] INFO 2020-02-04 02:14:33,410Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:06 2020', 'Sat Jan 25 17:54:06 2020', 'Sat Jan 25 17:54:06 2020'] INFO 2020-02-04 02:14:33,416Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09] for variable latitude INFO 2020-02-04 02:14:33,578Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2020-01-25 16:35:00 and after 2020-01-25 17:54:00: [11488 11489 11490 11491 11492 11493 11494 11495 11496 11497 11498 11499 11500 11501 11502 11503 11504] INFO 2020-02-04 02:14:33,584Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:06 2020', 'Sat Jan 25 17:54:06 2020', 'Sat Jan 25 17:54:06 2020'] INFO 2020-02-04 02:14:33,590Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09] for variable longitude INFO 2020-02-04 02:14:33,757Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2020-01-25 16:35:00 and after 2020-01-25 17:54:00: [11644 11645 11646 11647 11648 11649 11650 11651 11652 11653 11654 11655 11656 11657 11658 11659 11660] INFO 2020-02-04 02:14:33,763Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:06 2020', 'Sat Jan 25 17:54:06 2020'] INFO 2020-02-04 02:14:33,769Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09] for variable depth INFO 2020-02-04 02:14:33,933Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2020-01-25 16:35:00 and after 2020-01-25 17:54:00: [11646 11647 11648 11649 11650 11651 11652 11653 11654 11655 11656 11657 11658 11659 11660 11661 11662] INFO 2020-02-04 02:14:33,939Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:06 2020', 'Sat Jan 25 17:54:06 2020'] INFO 2020-02-04 02:14:33,945Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09] for variable time INFO 2020-02-04 02:14:34,098Z lrauvNc4ToNetcdf.py processResampleNc4File():987 Creating t variable of the time indexes WARNING 2020-02-04 02:14:34,105Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mass_concentration_of_oxygen_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200124_20200127/20200125T163519/202001251635_202001251754.nc4 WARNING 2020-02-04 02:14:34,105Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_salinity' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200124_20200127/20200125T163519/202001251635_202001251754.nc4 WARNING 2020-02-04 02:14:34,105Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_temperature' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200124_20200127/20200125T163519/202001251635_202001251754.nc4 WARNING 2020-02-04 02:14:34,106Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_salinity' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200124_20200127/20200125T163519/202001251635_202001251754.nc4 WARNING 2020-02-04 02:14:34,106Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_temperature' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200124_20200127/20200125T163519/202001251635_202001251754.nc4 WARNING 2020-02-04 02:14:34,106Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mole_concentration_of_nitrate_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200124_20200127/20200125T163519/202001251635_202001251754.nc4 INFO 2020-02-04 02:14:34,108Z lrauvNc4ToNetcdf.py createSeries():225 downwelling_photosynthetic_photon_flux_in_sea_water: v_t values found before 2020-01-25 16:35:00 and after 2020-01-25 17:54:00: [11646 11647 11648 11649 11650 11651 11652 11653 11654 11655 11656 11657 11658 11659 11660 11661 11662] INFO 2020-02-04 02:14:34,109Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:00 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:01 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:02 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:03 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:04 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:05 2020', 'Sat Jan 25 17:54:06 2020', 'Sat Jan 25 17:54:06 2020'] INFO 2020-02-04 02:14:34,110Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997484e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09 1.57997485e+09] for variable downwelling_photosynthetic_photon_flux_in_sea_water INFO 2020-02-04 02:14:34,265Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group PAR_Licor parameter downwelling_photosynthetic_photon_flux_in_sea_water renaming to PAR WARNING 2020-02-04 02:14:34,266Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mass_concentration_of_chlorophyll_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200124_20200127/20200125T163519/202001251635_202001251754.nc4 WARNING 2020-02-04 02:14:34,266Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'Output470' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200124_20200127/20200125T163519/202001251635_202001251754.nc4 WARNING 2020-02-04 02:14:34,266Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'Output650' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200124_20200127/20200125T163519/202001251635_202001251754.nc4 INFO 2020-02-04 02:14:34,272Z 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 2020-02-04 02:14:34,277Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group WetLabsSeaOWL_UV_A parameter mass_concentration_of_chlorophyll_in_sea_water renaming to chlorophyll INFO 2020-02-04 02:14:34,280Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable BackscatteringCoeff700nm empty so skipping INFO 2020-02-04 02:14:34,285Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group WetLabsSeaOWL_UV_A parameter VolumeScatCoeff117deg700nm renaming to VolumeScatCoeff117deg700nm INFO 2020-02-04 02:14:34,290Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group WetLabsSeaOWL_UV_A parameter mass_concentration_of_petroleum_hydrocarbons_in_sea_water renaming to petroleum_hydrocarbons INFO 2020-02-04 02:14:34,291Z lrauvNc4ToNetcdf.py nudge_coords():609 /mbari/LRAUV/whoidhs/missionlogs/2020/20200124_20200127/20200125T163519/202001251635_202001251754.nc4 DEBUG 2020-02-04 02:14:34,466Z lrauvNc4ToNetcdf.py var_series():597 longitude: rad_to_deg = True DEBUG 2020-02-04 02:14:34,636Z lrauvNc4ToNetcdf.py var_series():597 latitude: rad_to_deg = True DEBUG 2020-02-04 02:14:34,666Z lrauvNc4ToNetcdf.py var_series():597 longitude_fix: rad_to_deg = False DEBUG 2020-02-04 02:14:34,694Z lrauvNc4ToNetcdf.py var_series():597 latitude_fix: rad_to_deg = False INFO 2020-02-04 02:14:34,694Z 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 2020-02-04 02:14:34,695Z lrauvNc4ToNetcdf.py nudge_coords():643 - - - 0 0.00 - - - INFO 2020-02-04 02:14:34,698Z lrauvNc4ToNetcdf.py nudge_coords():665 0: 0.295 0.0000075 0.0000057 75 0.50 1.30 2.09 2020-01-25 16:37:06.312953949 INFO 2020-02-04 02:14:34,704Z lrauvNc4ToNetcdf.py nudge_coords():665 1: 0.359 0.0000512 0.0000210 189 1.27 1.91 3.07 2020-01-25 16:38:22.607578993 INFO 2020-02-04 02:14:34,710Z lrauvNc4ToNetcdf.py nudge_coords():665 2: 0.358 0.0002003 0.0000975 1112 7.48 1.50 2.41 2020-01-25 16:45:51.931771040 INFO 2020-02-04 02:14:34,716Z lrauvNc4ToNetcdf.py nudge_coords():665 3: 0.359 0.0023957 0.0004322 9340 62.93 0.80 1.27 2020-01-25 17:48:48.069526911 INFO 2020-02-04 02:14:34,723Z lrauvNc4ToNetcdf.py nudge_coords():695 5: - - - 789 5.31 - - INFO 2020-02-04 02:14:34,723Z lrauvNc4ToNetcdf.py nudge_coords():699 Points in final series = 11505 DEBUG 2020-02-04 02:14:34,724Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():525 Constructing trackingdb url to 3600 seconds beyond time range of file INFO 2020-02-04 02:14:34,737Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():533 http://odss.mbari.org/trackingdb/position/whoidhs_ac/between/20200125T153531/20200125T185406/data.csv INFO 2020-02-04 02:14:34,754Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():556 Found 0 position values from the Tracking database INFO 2020-02-04 02:14:34,758Z lrauvNc4ToNetcdf.py processResampleNc4File():1120 ['PAR', 'chromophoric_dissolved_organic_matter', 'chlorophyll', 'VolumeScatCoeff117deg700nm', 'petroleum_hydrocarbons', 'latitude', 'longitude', 'depth', 'time'] DEBUG 2020-02-04 02:14:34,759Z lrauvNc4ToNetcdf.py write_netcdf():120 Creating netCDF file /mbari/LRAUV/whoidhs/missionlogs/2020/20200124_20200127/20200125T163519/202001251635_202001251754_10S_sci.nc DEBUG 2020-02-04 02:14:34,763Z lrauvNc4ToNetcdf.py write_netcdf():144 Adding in record variable time DEBUG 2020-02-04 02:14:34,785Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable PAR DEBUG 2020-02-04 02:14:34,793Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable chromophoric_dissolved_organic_matter DEBUG 2020-02-04 02:14:34,800Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable chlorophyll DEBUG 2020-02-04 02:14:34,808Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable VolumeScatCoeff117deg700nm DEBUG 2020-02-04 02:14:34,814Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable petroleum_hydrocarbons DEBUG 2020-02-04 02:14:34,821Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable latitude DEBUG 2020-02-04 02:14:34,828Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable longitude DEBUG 2020-02-04 02:14:34,835Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable depth DEBUG 2020-02-04 02:14:34,847Z lrauvNc4ToNetcdf.py write_netcdf():163 Adding in global metadata INFO 2020-02-04 02:14:35,000Z lrauvNc4ToNetcdf.py processResampleNc4File():1123 Wrote /mbari/LRAUV/whoidhs/missionlogs/2020/20200124_20200127/20200125T163519/202001251635_202001251754_10S_sci.nc