INFO 2020-02-07 01:40:42,093Z lrauvNc4ToNetcdf.py processResampleNc4File():979 Reading /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200205T160201/202002051602_202002051842.nc4 file... INFO 2020-02-07 01:40:42,093Z lrauvNc4ToNetcdf.py processResampleNc4File():980 After copying to /tmp/202002051602_202002051842.nc4 INFO 2020-02-07 01:40:43,075Z lrauvNc4ToNetcdf.py processResampleNc4File():982 Read file /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200205T160201/202002051602_202002051842.nc4 INFO 2020-02-07 01:40:43,098Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2020-02-05 16:02:00 and after 2020-02-05 18:42:00: [23462 23463 23464 23465 23466 23467 23468 23469 23470 23471 23472 23473 23474 23475 23476 23477 23478 23479 23480 23481 23482 23483 23484 23485 23486 23487 23488 23489 23490 23491 23492 23493 23494 23495 23496 23497 23498 23499 23500 23501 23502 23503 23504 23505 23506 23507 23508 23509 23510 23511 23512 23513 23514] INFO 2020-02-07 01:40:43,106Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:21 2020'] INFO 2020-02-07 01:40:43,115Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09] for variable latitude INFO 2020-02-07 01:40:43,417Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2020-02-05 16:02:00 and after 2020-02-05 18:42:00: [23462 23463 23464 23465 23466 23467 23468 23469 23470 23471 23472 23473 23474 23475 23476 23477 23478 23479 23480 23481 23482 23483 23484 23485 23486 23487 23488 23489 23490 23491 23492 23493 23494 23495 23496 23497 23498 23499 23500 23501 23502 23503 23504 23505 23506 23507 23508 23509 23510 23511 23512 23513 23514] INFO 2020-02-07 01:40:43,426Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:21 2020'] INFO 2020-02-07 01:40:43,434Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09] for variable longitude INFO 2020-02-07 01:40:43,737Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2020-02-05 16:02:00 and after 2020-02-05 18:42:00: [23707 23708 23709 23710 23711 23712 23713 23714 23715 23716 23717 23718 23719 23720 23721 23722 23723 23724 23725 23726 23727 23728 23729 23730 23731 23732 23733 23734 23735 23736 23737 23738 23739 23740 23741 23742 23743 23744 23745 23746 23747 23748 23749 23750 23751 23752 23753 23754 23755 23756 23757 23758 23759] INFO 2020-02-07 01:40:43,746Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:21 2020'] INFO 2020-02-07 01:40:43,754Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09] for variable depth INFO 2020-02-07 01:40:44,055Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2020-02-05 16:02:00 and after 2020-02-05 18:42:00: [23708 23709 23710 23711 23712 23713 23714 23715 23716 23717 23718 23719 23720 23721 23722 23723 23724 23725 23726 23727 23728 23729 23730 23731 23732 23733 23734 23735 23736 23737 23738 23739 23740 23741 23742 23743 23744 23745 23746 23747 23748 23749 23750 23751 23752 23753 23754 23755 23756 23757 23758 23759 23760] INFO 2020-02-07 01:40:44,063Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:21 2020'] INFO 2020-02-07 01:40:44,071Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09] for variable time INFO 2020-02-07 01:40:44,380Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2020-02-05 16:02:00 and after 2020-02-05 18:42:00: [23462 23463 23464 23465 23466 23467 23468 23469 23470 23471 23472 23473 23474 23475 23476 23477 23478 23479 23480 23481 23482 23483 23484 23485 23486 23487 23488 23489 23490 23491 23492 23493 23494 23495 23496 23497 23498 23499 23500 23501 23502 23503 23504 23505 23506 23507 23508 23509 23510 23511 23512 23513 23514] INFO 2020-02-07 01:40:44,388Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:21 2020'] INFO 2020-02-07 01:40:44,396Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09] for variable latitude INFO 2020-02-07 01:40:44,692Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2020-02-05 16:02:00 and after 2020-02-05 18:42:00: [23462 23463 23464 23465 23466 23467 23468 23469 23470 23471 23472 23473 23474 23475 23476 23477 23478 23479 23480 23481 23482 23483 23484 23485 23486 23487 23488 23489 23490 23491 23492 23493 23494 23495 23496 23497 23498 23499 23500 23501 23502 23503 23504 23505 23506 23507 23508 23509 23510 23511 23512 23513 23514] INFO 2020-02-07 01:40:44,699Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:21 2020'] INFO 2020-02-07 01:40:44,707Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09] for variable longitude INFO 2020-02-07 01:40:45,005Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2020-02-05 16:02:00 and after 2020-02-05 18:42:00: [23707 23708 23709 23710 23711 23712 23713 23714 23715 23716 23717 23718 23719 23720 23721 23722 23723 23724 23725 23726 23727 23728 23729 23730 23731 23732 23733 23734 23735 23736 23737 23738 23739 23740 23741 23742 23743 23744 23745 23746 23747 23748 23749 23750 23751 23752 23753 23754 23755 23756 23757 23758 23759] INFO 2020-02-07 01:40:45,012Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:21 2020'] INFO 2020-02-07 01:40:45,020Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09] for variable depth INFO 2020-02-07 01:40:45,321Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2020-02-05 16:02:00 and after 2020-02-05 18:42:00: [23708 23709 23710 23711 23712 23713 23714 23715 23716 23717 23718 23719 23720 23721 23722 23723 23724 23725 23726 23727 23728 23729 23730 23731 23732 23733 23734 23735 23736 23737 23738 23739 23740 23741 23742 23743 23744 23745 23746 23747 23748 23749 23750 23751 23752 23753 23754 23755 23756 23757 23758 23759 23760] INFO 2020-02-07 01:40:45,329Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:21 2020'] INFO 2020-02-07 01:40:45,337Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09] for variable time INFO 2020-02-07 01:40:45,636Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2020-02-05 16:02:00 and after 2020-02-05 18:42:00: [23462 23463 23464 23465 23466 23467 23468 23469 23470 23471 23472 23473 23474 23475 23476 23477 23478 23479 23480 23481 23482 23483 23484 23485 23486 23487 23488 23489 23490 23491 23492 23493 23494 23495 23496 23497 23498 23499 23500 23501 23502 23503 23504 23505 23506 23507 23508 23509 23510 23511 23512 23513 23514] INFO 2020-02-07 01:40:45,643Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:21 2020'] INFO 2020-02-07 01:40:45,651Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09] for variable latitude INFO 2020-02-07 01:40:45,948Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2020-02-05 16:02:00 and after 2020-02-05 18:42:00: [23462 23463 23464 23465 23466 23467 23468 23469 23470 23471 23472 23473 23474 23475 23476 23477 23478 23479 23480 23481 23482 23483 23484 23485 23486 23487 23488 23489 23490 23491 23492 23493 23494 23495 23496 23497 23498 23499 23500 23501 23502 23503 23504 23505 23506 23507 23508 23509 23510 23511 23512 23513 23514] INFO 2020-02-07 01:40:45,955Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:21 2020'] INFO 2020-02-07 01:40:45,963Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09] for variable longitude INFO 2020-02-07 01:40:46,260Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2020-02-05 16:02:00 and after 2020-02-05 18:42:00: [23707 23708 23709 23710 23711 23712 23713 23714 23715 23716 23717 23718 23719 23720 23721 23722 23723 23724 23725 23726 23727 23728 23729 23730 23731 23732 23733 23734 23735 23736 23737 23738 23739 23740 23741 23742 23743 23744 23745 23746 23747 23748 23749 23750 23751 23752 23753 23754 23755 23756 23757 23758 23759] INFO 2020-02-07 01:40:46,267Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:21 2020'] INFO 2020-02-07 01:40:46,275Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09] for variable depth INFO 2020-02-07 01:40:46,576Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2020-02-05 16:02:00 and after 2020-02-05 18:42:00: [23708 23709 23710 23711 23712 23713 23714 23715 23716 23717 23718 23719 23720 23721 23722 23723 23724 23725 23726 23727 23728 23729 23730 23731 23732 23733 23734 23735 23736 23737 23738 23739 23740 23741 23742 23743 23744 23745 23746 23747 23748 23749 23750 23751 23752 23753 23754 23755 23756 23757 23758 23759 23760] INFO 2020-02-07 01:40:46,584Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:21 2020'] INFO 2020-02-07 01:40:46,591Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09] for variable time INFO 2020-02-07 01:40:46,896Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2020-02-05 16:02:00 and after 2020-02-05 18:42:00: [23462 23463 23464 23465 23466 23467 23468 23469 23470 23471 23472 23473 23474 23475 23476 23477 23478 23479 23480 23481 23482 23483 23484 23485 23486 23487 23488 23489 23490 23491 23492 23493 23494 23495 23496 23497 23498 23499 23500 23501 23502 23503 23504 23505 23506 23507 23508 23509 23510 23511 23512 23513 23514] INFO 2020-02-07 01:40:46,904Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:21 2020'] INFO 2020-02-07 01:40:46,912Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09] for variable latitude INFO 2020-02-07 01:40:47,222Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2020-02-05 16:02:00 and after 2020-02-05 18:42:00: [23462 23463 23464 23465 23466 23467 23468 23469 23470 23471 23472 23473 23474 23475 23476 23477 23478 23479 23480 23481 23482 23483 23484 23485 23486 23487 23488 23489 23490 23491 23492 23493 23494 23495 23496 23497 23498 23499 23500 23501 23502 23503 23504 23505 23506 23507 23508 23509 23510 23511 23512 23513 23514] INFO 2020-02-07 01:40:47,231Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:21 2020'] INFO 2020-02-07 01:40:47,239Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09] for variable longitude INFO 2020-02-07 01:40:47,553Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2020-02-05 16:02:00 and after 2020-02-05 18:42:00: [23707 23708 23709 23710 23711 23712 23713 23714 23715 23716 23717 23718 23719 23720 23721 23722 23723 23724 23725 23726 23727 23728 23729 23730 23731 23732 23733 23734 23735 23736 23737 23738 23739 23740 23741 23742 23743 23744 23745 23746 23747 23748 23749 23750 23751 23752 23753 23754 23755 23756 23757 23758 23759] INFO 2020-02-07 01:40:47,561Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:21 2020'] INFO 2020-02-07 01:40:47,569Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09] for variable depth INFO 2020-02-07 01:40:47,878Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2020-02-05 16:02:00 and after 2020-02-05 18:42:00: [23708 23709 23710 23711 23712 23713 23714 23715 23716 23717 23718 23719 23720 23721 23722 23723 23724 23725 23726 23727 23728 23729 23730 23731 23732 23733 23734 23735 23736 23737 23738 23739 23740 23741 23742 23743 23744 23745 23746 23747 23748 23749 23750 23751 23752 23753 23754 23755 23756 23757 23758 23759 23760] INFO 2020-02-07 01:40:47,886Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:21 2020'] INFO 2020-02-07 01:40:47,894Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09] for variable time INFO 2020-02-07 01:40:48,176Z lrauvNc4ToNetcdf.py processResampleNc4File():987 Creating t variable of the time indexes WARNING 2020-02-07 01:40:48,187Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mass_concentration_of_oxygen_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200205T160201/202002051602_202002051842.nc4 WARNING 2020-02-07 01:40:48,187Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_salinity' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200205T160201/202002051602_202002051842.nc4 WARNING 2020-02-07 01:40:48,187Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_temperature' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200205T160201/202002051602_202002051842.nc4 WARNING 2020-02-07 01:40:48,187Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_salinity' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200205T160201/202002051602_202002051842.nc4 WARNING 2020-02-07 01:40:48,187Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_temperature' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200205T160201/202002051602_202002051842.nc4 WARNING 2020-02-07 01:40:48,187Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mole_concentration_of_nitrate_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200205T160201/202002051602_202002051842.nc4 INFO 2020-02-07 01:40:48,191Z lrauvNc4ToNetcdf.py createSeries():225 downwelling_photosynthetic_photon_flux_in_sea_water: v_t values found before 2020-02-05 16:02:00 and after 2020-02-05 18:42:00: [23707 23708 23709 23710 23711 23712 23713 23714 23715 23716 23717 23718 23719 23720 23721 23722 23723 23724 23725 23726 23727 23728 23729 23730 23731 23732 23733 23734 23735 23736 23737 23738 23739 23740 23741 23742 23743 23744 23745 23746 23747 23748 23749 23750 23751 23752 23753 23754 23755 23756 23757 23758 23759 23760] INFO 2020-02-07 01:40:48,192Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:00 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:01 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:02 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:03 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:04 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:05 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:06 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:07 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:08 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:09 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:10 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:11 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:12 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:13 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:14 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:15 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:16 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:17 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:18 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:19 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:20 2020', 'Wed Feb 5 18:42:21 2020', 'Wed Feb 5 18:42:21 2020'] INFO 2020-02-07 01:40:48,193Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092812e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092813e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09 1.58092814e+09] for variable downwelling_photosynthetic_photon_flux_in_sea_water INFO 2020-02-07 01:40:48,485Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group PAR_Licor parameter downwelling_photosynthetic_photon_flux_in_sea_water renaming to PAR WARNING 2020-02-07 01:40:48,485Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mass_concentration_of_chlorophyll_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200205T160201/202002051602_202002051842.nc4 WARNING 2020-02-07 01:40:48,485Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'Output470' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200205T160201/202002051602_202002051842.nc4 WARNING 2020-02-07 01:40:48,485Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'Output650' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200205T160201/202002051602_202002051842.nc4 INFO 2020-02-07 01:40:48,491Z 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 2020-02-07 01:40:48,497Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group WetLabsSeaOWL_UV_A parameter mass_concentration_of_chlorophyll_in_sea_water renaming to chlorophyll INFO 2020-02-07 01:40:48,500Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable BackscatteringCoeff700nm empty so skipping INFO 2020-02-07 01:40:48,505Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group WetLabsSeaOWL_UV_A parameter VolumeScatCoeff117deg700nm renaming to VolumeScatCoeff117deg700nm INFO 2020-02-07 01:40:48,511Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group WetLabsSeaOWL_UV_A parameter mass_concentration_of_petroleum_hydrocarbons_in_sea_water renaming to petroleum_hydrocarbons INFO 2020-02-07 01:40:48,512Z lrauvNc4ToNetcdf.py nudge_coords():609 /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200205T160201/202002051602_202002051842.nc4 DEBUG 2020-02-07 01:40:48,820Z lrauvNc4ToNetcdf.py var_series():597 longitude: rad_to_deg = True DEBUG 2020-02-07 01:40:49,130Z lrauvNc4ToNetcdf.py var_series():597 latitude: rad_to_deg = True DEBUG 2020-02-07 01:40:49,166Z lrauvNc4ToNetcdf.py var_series():597 longitude_fix: rad_to_deg = False DEBUG 2020-02-07 01:40:49,200Z lrauvNc4ToNetcdf.py var_series():597 latitude_fix: rad_to_deg = False INFO 2020-02-07 01:40:49,200Z 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 2020-02-07 01:40:49,202Z lrauvNc4ToNetcdf.py nudge_coords():643 - - - 0 0.00 - - - WARNING 2020-02-07 01:40:49,202Z lrauvNc4ToNetcdf.py nudge_coords():653 end_sec_diff (99.109354973) > max_sec_diff_at_end (10) INFO 2020-02-07 01:40:49,207Z lrauvNc4ToNetcdf.py nudge_coords():665 0: 99.109 -0.0002027 -0.0002940 1 0.00 inf -inf 2020-02-05 16:02:12.746464014 INFO 2020-02-07 01:40:49,213Z lrauvNc4ToNetcdf.py nudge_coords():665 1: 0.360 -0.0000033 -0.0000064 347 2.33 0.38 -0.51 2020-02-05 16:06:12.089140892 INFO 2020-02-07 01:40:49,220Z lrauvNc4ToNetcdf.py nudge_coords():665 2: 0.351 -0.0000229 -0.0000298 1028 6.92 0.60 -0.80 2020-02-05 16:13:07.534254074 INFO 2020-02-07 01:40:49,226Z lrauvNc4ToNetcdf.py nudge_coords():665 3: 0.334 0.0007616 0.0000972 2139 14.46 -0.94 1.25 2020-02-05 16:27:35.407491922 INFO 2020-02-07 01:40:49,233Z lrauvNc4ToNetcdf.py nudge_coords():665 4: 0.363 -0.0000591 -0.0000187 1275 8.58 0.31 -0.40 2020-02-05 16:36:10.514278888 INFO 2020-02-07 01:40:49,239Z lrauvNc4ToNetcdf.py nudge_coords():665 5: 0.352 0.0003742 0.0004319 5947 40.08 -1.52 2.00 2020-02-05 17:16:15.757483959 INFO 2020-02-07 01:40:49,247Z lrauvNc4ToNetcdf.py nudge_coords():665 6: 0.353 -0.0000469 0.0000076 822 5.53 -0.19 0.26 2020-02-05 17:21:47.856442928 INFO 2020-02-07 01:40:49,253Z lrauvNc4ToNetcdf.py nudge_coords():665 7: 0.357 0.0006571 0.0007932 11517 77.59 -1.44 1.89 2020-02-05 18:39:23.677301884 INFO 2020-02-07 01:40:49,261Z lrauvNc4ToNetcdf.py nudge_coords():695 9: - - - 439 2.95 - - INFO 2020-02-07 01:40:49,261Z lrauvNc4ToNetcdf.py nudge_coords():699 Points in final series = 23515 DEBUG 2020-02-07 01:40:49,261Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():525 Constructing trackingdb url to 3600 seconds beyond time range of file INFO 2020-02-07 01:40:49,280Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():533 http://odss.mbari.org/trackingdb/position/whoidhs_ac/between/20200205T150212/20200205T194221/data.csv INFO 2020-02-07 01:40:49,301Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():556 Found 0 position values from the Tracking database INFO 2020-02-07 01:40:49,305Z lrauvNc4ToNetcdf.py processResampleNc4File():1120 ['PAR', 'chromophoric_dissolved_organic_matter', 'chlorophyll', 'VolumeScatCoeff117deg700nm', 'petroleum_hydrocarbons', 'latitude', 'longitude', 'depth', 'time'] DEBUG 2020-02-07 01:40:49,307Z lrauvNc4ToNetcdf.py write_netcdf():120 Creating netCDF file /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200205T160201/202002051602_202002051842_10S_sci.nc DEBUG 2020-02-07 01:40:49,312Z lrauvNc4ToNetcdf.py write_netcdf():144 Adding in record variable time DEBUG 2020-02-07 01:40:49,327Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable PAR DEBUG 2020-02-07 01:40:49,331Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable chromophoric_dissolved_organic_matter DEBUG 2020-02-07 01:40:49,335Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable chlorophyll DEBUG 2020-02-07 01:40:49,339Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable VolumeScatCoeff117deg700nm DEBUG 2020-02-07 01:40:49,342Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable petroleum_hydrocarbons DEBUG 2020-02-07 01:40:49,346Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable latitude DEBUG 2020-02-07 01:40:49,349Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable longitude DEBUG 2020-02-07 01:40:49,353Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable depth DEBUG 2020-02-07 01:40:49,362Z lrauvNc4ToNetcdf.py write_netcdf():163 Adding in global metadata INFO 2020-02-07 01:40:49,497Z lrauvNc4ToNetcdf.py processResampleNc4File():1123 Wrote /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200205T160201/202002051602_202002051842_10S_sci.nc