INFO 2020-05-30 00:51:35,645Z lrauvNc4ToNetcdf.py processResampleNc4File():994 Reading /mbari/LRAUV/tethys/missionlogs/2012/20120908_20120920/20120917T151928/201209171519_201209181055.nc4 file... INFO 2020-05-30 00:51:35,646Z lrauvNc4ToNetcdf.py processResampleNc4File():995 After copying to /tmp/201209171519_201209181055.nc4 INFO 2020-05-30 00:51:36,829Z lrauvNc4ToNetcdf.py processResampleNc4File():997 Read file /mbari/LRAUV/tethys/missionlogs/2012/20120908_20120920/20120917T151928/201209171519_201209181055.nc4 INFO 2020-05-30 00:51:36,863Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [163343 163344 163345 163346 163347 163348 163349 163350 163351 163352 163353 163354 163355 163356 163357 163358 163359 163360 163361 163362 163363 163364 163365 163366 163367 163368 163369 163370] INFO 2020-05-30 00:51:36,870Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:12 2012'] INFO 2020-05-30 00:51:36,874Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09] for variable latitude INFO 2020-05-30 00:51:38,824Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [163343 163344 163345 163346 163347 163348 163349 163350 163351 163352 163353 163354 163355 163356 163357 163358 163359 163360 163361 163362 163363 163364 163365 163366 163367 163368 163369 163370] INFO 2020-05-30 00:51:38,831Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:12 2012'] INFO 2020-05-30 00:51:38,836Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09] for variable longitude INFO 2020-05-30 00:51:40,790Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [163440 163441 163442 163443 163444 163445 163446 163447 163448 163449 163450 163451 163452 163453 163454 163455 163456 163457 163458 163459 163460 163461 163462 163463 163464 163465 163466 163467 163468] INFO 2020-05-30 00:51:40,796Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012'] INFO 2020-05-30 00:51:40,800Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09] for variable depth INFO 2020-05-30 00:51:42,722Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [163438 163439 163440 163441 163442 163443 163444 163445 163446 163447 163448 163449 163450 163451 163452 163453 163454 163455 163456 163457 163458 163459 163460 163461 163462 163463 163464 163465 163466] INFO 2020-05-30 00:51:42,729Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012'] INFO 2020-05-30 00:51:42,733Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09] for variable time INFO 2020-05-30 00:51:44,658Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [163343 163344 163345 163346 163347 163348 163349 163350 163351 163352 163353 163354 163355 163356 163357 163358 163359 163360 163361 163362 163363 163364 163365 163366 163367 163368 163369 163370] INFO 2020-05-30 00:51:44,664Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:12 2012'] INFO 2020-05-30 00:51:44,668Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09] for variable latitude INFO 2020-05-30 00:51:46,582Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [163343 163344 163345 163346 163347 163348 163349 163350 163351 163352 163353 163354 163355 163356 163357 163358 163359 163360 163361 163362 163363 163364 163365 163366 163367 163368 163369 163370] INFO 2020-05-30 00:51:46,588Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:12 2012'] INFO 2020-05-30 00:51:46,593Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09] for variable longitude INFO 2020-05-30 00:51:48,511Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [163440 163441 163442 163443 163444 163445 163446 163447 163448 163449 163450 163451 163452 163453 163454 163455 163456 163457 163458 163459 163460 163461 163462 163463 163464 163465 163466 163467 163468] INFO 2020-05-30 00:51:48,519Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012'] INFO 2020-05-30 00:51:48,524Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09] for variable depth INFO 2020-05-30 00:51:50,437Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [163438 163439 163440 163441 163442 163443 163444 163445 163446 163447 163448 163449 163450 163451 163452 163453 163454 163455 163456 163457 163458 163459 163460 163461 163462 163463 163464 163465 163466] INFO 2020-05-30 00:51:50,443Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012'] INFO 2020-05-30 00:51:50,448Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09] for variable time INFO 2020-05-30 00:51:52,362Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [163343 163344 163345 163346 163347 163348 163349 163350 163351 163352 163353 163354 163355 163356 163357 163358 163359 163360 163361 163362 163363 163364 163365 163366 163367 163368 163369 163370] INFO 2020-05-30 00:51:52,369Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:12 2012'] INFO 2020-05-30 00:51:52,373Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09] for variable latitude INFO 2020-05-30 00:51:54,275Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [163343 163344 163345 163346 163347 163348 163349 163350 163351 163352 163353 163354 163355 163356 163357 163358 163359 163360 163361 163362 163363 163364 163365 163366 163367 163368 163369 163370] INFO 2020-05-30 00:51:54,281Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:12 2012'] INFO 2020-05-30 00:51:54,286Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09] for variable longitude INFO 2020-05-30 00:51:56,194Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [163440 163441 163442 163443 163444 163445 163446 163447 163448 163449 163450 163451 163452 163453 163454 163455 163456 163457 163458 163459 163460 163461 163462 163463 163464 163465 163466 163467 163468] INFO 2020-05-30 00:51:56,200Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012'] INFO 2020-05-30 00:51:56,205Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09] for variable depth INFO 2020-05-30 00:51:58,120Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [163438 163439 163440 163441 163442 163443 163444 163445 163446 163447 163448 163449 163450 163451 163452 163453 163454 163455 163456 163457 163458 163459 163460 163461 163462 163463 163464 163465 163466] INFO 2020-05-30 00:51:58,126Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012'] INFO 2020-05-30 00:51:58,130Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09] for variable time INFO 2020-05-30 00:52:00,052Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [163343 163344 163345 163346 163347 163348 163349 163350 163351 163352 163353 163354 163355 163356 163357 163358 163359 163360 163361 163362 163363 163364 163365 163366 163367 163368 163369 163370] INFO 2020-05-30 00:52:00,058Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:12 2012'] INFO 2020-05-30 00:52:00,062Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09] for variable latitude INFO 2020-05-30 00:52:01,996Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [163343 163344 163345 163346 163347 163348 163349 163350 163351 163352 163353 163354 163355 163356 163357 163358 163359 163360 163361 163362 163363 163364 163365 163366 163367 163368 163369 163370] INFO 2020-05-30 00:52:02,002Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:12 2012'] INFO 2020-05-30 00:52:02,007Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09] for variable longitude INFO 2020-05-30 00:52:03,934Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [163440 163441 163442 163443 163444 163445 163446 163447 163448 163449 163450 163451 163452 163453 163454 163455 163456 163457 163458 163459 163460 163461 163462 163463 163464 163465 163466 163467 163468] INFO 2020-05-30 00:52:03,940Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012'] INFO 2020-05-30 00:52:03,944Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09] for variable depth INFO 2020-05-30 00:52:05,897Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [163438 163439 163440 163441 163442 163443 163444 163445 163446 163447 163448 163449 163450 163451 163452 163453 163454 163455 163456 163457 163458 163459 163460 163461 163462 163463 163464 163465 163466] INFO 2020-05-30 00:52:05,903Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012'] INFO 2020-05-30 00:52:05,907Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09] for variable time WARNING 2020-05-30 00:52:07,807Z lrauvNc4ToNetcdf.py processResampleNc4File():1006 Dropping from latitude repeated/decreasing values at indices: [ 319 1743 1744] WARNING 2020-05-30 00:52:07,825Z lrauvNc4ToNetcdf.py processResampleNc4File():1006 Dropping from longitude repeated/decreasing values at indices: [ 319 1743 1744] WARNING 2020-05-30 00:52:07,841Z lrauvNc4ToNetcdf.py processResampleNc4File():1006 Dropping from depth repeated/decreasing values at indices: [ 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 1841 1842] WARNING 2020-05-30 00:52:07,856Z lrauvNc4ToNetcdf.py processResampleNc4File():1006 Dropping from time repeated/decreasing values at indices: [ 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 415 1839] INFO 2020-05-30 00:52:07,867Z lrauvNc4ToNetcdf.py processResampleNc4File():1010 Creating t variable of the time indexes INFO 2020-05-30 00:52:07,903Z lrauvNc4ToNetcdf.py createSeries():240 downwelling_photosynthetic_photon_flux_in_sea_water: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [163438 163439 163440 163441 163442 163443 163444 163445 163446 163447 163448 163449 163450 163451 163452 163453 163454 163455 163456 163457 163458 163459 163460 163461 163462 163463 163464 163465 163466] INFO 2020-05-30 00:52:07,905Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012'] INFO 2020-05-30 00:52:07,906Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09] for variable downwelling_photosynthetic_photon_flux_in_sea_water INFO 2020-05-30 00:52:09,882Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group PAR_Licor parameter downwelling_photosynthetic_photon_flux_in_sea_water renaming to PAR INFO 2020-05-30 00:52:09,888Z lrauvNc4ToNetcdf.py createSeries():240 mass_concentration_of_oxygen_in_sea_water: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [58653 58654 58655 58656 58657 58658 58659 58660 58661 58662 58663 58664] INFO 2020-05-30 00:52:09,889Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:12 2012'] INFO 2020-05-30 00:52:09,889Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09] for variable mass_concentration_of_oxygen_in_sea_water INFO 2020-05-30 00:52:10,571Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group Aanderaa_O2 parameter mass_concentration_of_oxygen_in_sea_water renaming to oxygen INFO 2020-05-30 00:52:10,611Z lrauvNc4ToNetcdf.py createSeries():240 sea_water_salinity: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [301144 301145 301146 301147 301148 301149 301150 301151 301152 301153 301154 301155 301156 301157 301158 301159 301160 301161 301162 301163 301164 301165 301166 301167 301168 301169 301170 301171 301172 301173 301174 301175 301176 301177 301178 301179 301180 301181 301182 301183 301184 301185 301186 301187 301188 301189 301190 301191 301192 301193 301194 301195 301196 301197 301198 301199 301200] INFO 2020-05-30 00:52:10,612Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012'] INFO 2020-05-30 00:52:10,614Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09] for variable sea_water_salinity INFO 2020-05-30 00:52:14,165Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group CTD_NeilBrown parameter sea_water_salinity renaming to salinity INFO 2020-05-30 00:52:14,201Z lrauvNc4ToNetcdf.py createSeries():240 sea_water_temperature: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [301144 301145 301146 301147 301148 301149 301150 301151 301152 301153 301154 301155 301156 301157 301158 301159 301160 301161 301162 301163 301164 301165 301166 301167 301168 301169 301170 301171 301172 301173 301174 301175 301176 301177 301178 301179 301180 301181 301182 301183 301184 301185 301186 301187 301188 301189 301190 301191 301192 301193 301194 301195 301196 301197 301198 301199 301200] INFO 2020-05-30 00:52:14,202Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012'] INFO 2020-05-30 00:52:14,204Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09] for variable sea_water_temperature INFO 2020-05-30 00:52:17,711Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group CTD_NeilBrown parameter sea_water_temperature renaming to temperature INFO 2020-05-30 00:52:17,721Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group ISUS parameter mole_concentration_of_nitrate_in_sea_water renaming to nitrate INFO 2020-05-30 00:52:17,832Z lrauvNc4ToNetcdf.py createSeries():240 mass_concentration_of_chlorophyll_in_sea_water: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [706461 706462 706463 706464 706465 706466 706467 706468 706469 706470 706471 706472 706473 706474 706475 706476 706477 706478 706479 706480 706481 706482 706483 706484 706485 706486 706487 706488 706489 706490 706491 706492 706493 706494 706495 706496 706497 706498 706499 706500 706501 706502 706503 706504 706505 706506 706507 706508 706509 706510 706511 706512 706513 706514 706515 706516 706517 706518 706519 706520 706521 706522 706523 706524 706525 706526 706527 706528 706529 706530 706531 706532 706533 706534 706535 706536 706537 706538 706539 706540 706541 706542 706543 706544 706545 706546 706547 706548 706549 706550 706551 706552 706553 706554 706555 706556 706557 706558 706559 706560 706561 706562 706563 706564 706565 706566 706567 706568 706569 706570 706571 706572 706573 706574 706575 706576 706577 706578 706579 706580 706581 706582 706583 706584 706585 706586 706587 706588 706589 706590 706591 706592 706593 706594 706595 706596] INFO 2020-05-30 00:52:17,834Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012'] INFO 2020-05-30 00:52:17,837Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09] for variable mass_concentration_of_chlorophyll_in_sea_water INFO 2020-05-30 00:52:26,081Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group WetLabsBB2FL parameter mass_concentration_of_chlorophyll_in_sea_water renaming to chlorophyll INFO 2020-05-30 00:52:26,182Z lrauvNc4ToNetcdf.py createSeries():240 Output470: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [706461 706462 706463 706464 706465 706466 706467 706468 706469 706470 706471 706472 706473 706474 706475 706476 706477 706478 706479 706480 706481 706482 706483 706484 706485 706486 706487 706488 706489 706490 706491 706492 706493 706494 706495 706496 706497 706498 706499 706500 706501 706502 706503 706504 706505 706506 706507 706508 706509 706510 706511 706512 706513 706514 706515 706516 706517 706518 706519 706520 706521 706522 706523 706524 706525 706526 706527 706528 706529 706530 706531 706532 706533 706534 706535 706536 706537 706538 706539 706540 706541 706542 706543 706544 706545 706546 706547 706548 706549 706550 706551 706552 706553 706554 706555 706556 706557 706558 706559 706560 706561 706562 706563 706564 706565 706566 706567 706568 706569 706570 706571 706572 706573 706574 706575 706576 706577 706578 706579 706580 706581 706582 706583 706584 706585 706586 706587 706588 706589 706590 706591 706592 706593 706594 706595 706596] INFO 2020-05-30 00:52:26,184Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012'] INFO 2020-05-30 00:52:26,186Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09] for variable Output470 INFO 2020-05-30 00:52:34,322Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group WetLabsBB2FL parameter Output470 renaming to bbp470 INFO 2020-05-30 00:52:34,418Z lrauvNc4ToNetcdf.py createSeries():240 Output650: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [706461 706462 706463 706464 706465 706466 706467 706468 706469 706470 706471 706472 706473 706474 706475 706476 706477 706478 706479 706480 706481 706482 706483 706484 706485 706486 706487 706488 706489 706490 706491 706492 706493 706494 706495 706496 706497 706498 706499 706500 706501 706502 706503 706504 706505 706506 706507 706508 706509 706510 706511 706512 706513 706514 706515 706516 706517 706518 706519 706520 706521 706522 706523 706524 706525 706526 706527 706528 706529 706530 706531 706532 706533 706534 706535 706536 706537 706538 706539 706540 706541 706542 706543 706544 706545 706546 706547 706548 706549 706550 706551 706552 706553 706554 706555 706556 706557 706558 706559 706560 706561 706562 706563 706564 706565 706566 706567 706568 706569 706570 706571 706572 706573 706574 706575 706576 706577 706578 706579 706580 706581 706582 706583 706584 706585 706586 706587 706588 706589 706590 706591 706592 706593 706594 706595 706596] INFO 2020-05-30 00:52:34,420Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:00 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:01 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:02 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:03 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:04 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:05 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:06 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:07 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:08 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:09 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:10 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:11 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012', 'Tue Sep 18 10:55:12 2012'] INFO 2020-05-30 00:52:34,422Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796570e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09 1.34796571e+09] for variable Output650 INFO 2020-05-30 00:52:42,681Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group WetLabsBB2FL parameter Output650 renaming to bbp650 INFO 2020-05-30 00:52:42,683Z lrauvNc4ToNetcdf.py nudge_coords():624 /mbari/LRAUV/tethys/missionlogs/2012/20120908_20120920/20120917T151928/201209171519_201209181055.nc4 DEBUG 2020-05-30 00:52:44,622Z lrauvNc4ToNetcdf.py var_series():612 longitude: rad_to_deg = True DEBUG 2020-05-30 00:52:46,558Z lrauvNc4ToNetcdf.py var_series():612 latitude: rad_to_deg = True DEBUG 2020-05-30 00:52:46,583Z lrauvNc4ToNetcdf.py var_series():612 longitude_fix: rad_to_deg = True DEBUG 2020-05-30 00:52:46,604Z lrauvNc4ToNetcdf.py var_series():612 latitude_fix: rad_to_deg = True INFO 2020-05-30 00:52:46,604Z lrauvNc4ToNetcdf.py nudge_coords():642 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 2020-05-30 00:52:46,606Z lrauvNc4ToNetcdf.py nudge_coords():658 - - - 146 0.98 - - - INFO 2020-05-30 00:52:46,623Z lrauvNc4ToNetcdf.py nudge_coords():680 0: 0.407 -0.0000937 0.0000037 14 0.09 -3.66 7.90 2012-09-17 15:20:24.285892010 INFO 2020-05-30 00:52:46,629Z lrauvNc4ToNetcdf.py nudge_coords():680 1: 0.414 0.0000000 0.0000000 161 1.18 -0.00 0.00 2012-09-17 15:21:36.020479918 INFO 2020-05-30 00:52:46,634Z lrauvNc4ToNetcdf.py nudge_coords():680 2: 0.325 -0.0003723 0.0000282 145 5.70 -0.42 0.92 2012-09-17 15:27:18.613928080 INFO 2020-05-30 00:52:46,640Z lrauvNc4ToNetcdf.py nudge_coords():680 3: 0.422 -0.0000235 0.0000360 189 1.33 -2.33 5.03 2012-09-17 15:28:39.559051991 INFO 2020-05-30 00:52:46,645Z lrauvNc4ToNetcdf.py nudge_coords():680 4: 0.366 -0.0002702 0.0001527 846 5.63 -2.33 5.02 2012-09-17 15:34:18.009216070 INFO 2020-05-30 00:52:46,650Z lrauvNc4ToNetcdf.py nudge_coords():680 5: 0.008 0.0000000 0.0000000 246 1.73 -0.00 0.00 2012-09-17 15:36:03.777672052 INFO 2020-05-30 00:52:46,656Z lrauvNc4ToNetcdf.py nudge_coords():680 6: 0.363 -0.0007735 0.0003471 3946 28.41 -1.02 2.26 2012-09-17 16:04:29.111367941 INFO 2020-05-30 00:52:46,662Z lrauvNc4ToNetcdf.py nudge_coords():680 7: 0.034 0.0000000 0.0000000 500 3.62 -0.00 0.00 2012-09-17 16:08:09.057343960 INFO 2020-05-30 00:52:46,667Z lrauvNc4ToNetcdf.py nudge_coords():680 8: 0.370 -0.0044220 0.0000053 7629 55.70 -0.01 0.02 2012-09-17 17:03:51.673311949 INFO 2020-05-30 00:52:46,673Z lrauvNc4ToNetcdf.py nudge_coords():680 9: 0.365 -0.0000137 0.0003053 538 3.94 -6.25 14.36 2012-09-17 17:07:54.430275917 INFO 2020-05-30 00:52:46,678Z lrauvNc4ToNetcdf.py nudge_coords():680 10: 0.364 -0.0053681 0.0010437 8109 57.97 -1.49 3.34 2012-09-17 18:05:53.018811941 INFO 2020-05-30 00:52:46,684Z lrauvNc4ToNetcdf.py nudge_coords():680 11: 0.356 0.0001422 0.0003115 1029 7.50 -3.44 7.69 2012-09-17 18:13:29.298912048 INFO 2020-05-30 00:52:46,690Z lrauvNc4ToNetcdf.py nudge_coords():680 12: 0.387 -0.0011276 0.0009908 6796 48.45 -1.75 3.79 2012-09-17 19:01:56.964188099 INFO 2020-05-30 00:52:46,696Z lrauvNc4ToNetcdf.py nudge_coords():680 13: 0.360 -0.0005160 -0.0002837 1041 7.56 3.22 -6.96 2012-09-17 19:09:35.423939943 INFO 2020-05-30 00:52:46,702Z lrauvNc4ToNetcdf.py nudge_coords():680 14: 0.364 -0.0021779 0.0001072 7671 54.43 -0.18 0.37 2012-09-17 20:04:02.989151955 INFO 2020-05-30 00:52:46,707Z lrauvNc4ToNetcdf.py nudge_coords():680 15: 0.377 -0.0002817 -0.0004323 594 4.30 9.05 -18.63 2012-09-17 20:08:26.103703976 INFO 2020-05-30 00:52:46,713Z lrauvNc4ToNetcdf.py nudge_coords():680 16: 0.375 -0.0035751 -0.0020275 8057 56.39 3.41 -6.66 2012-09-17 21:04:51.693595886 INFO 2020-05-30 00:52:46,719Z lrauvNc4ToNetcdf.py nudge_coords():680 17: 0.372 -0.0004282 -0.0004252 473 3.48 11.60 -22.67 2012-09-17 21:08:24.554912090 INFO 2020-05-30 00:52:46,725Z lrauvNc4ToNetcdf.py nudge_coords():680 18: 0.358 -0.0027733 -0.0032963 8030 56.53 5.31 -10.80 2012-09-17 22:04:56.978183985 INFO 2020-05-30 00:52:46,731Z lrauvNc4ToNetcdf.py nudge_coords():680 19: 0.013 0.0000000 0.0000000 370 2.70 -0.00 0.00 2012-09-17 22:07:45.052223921 INFO 2020-05-30 00:52:46,736Z lrauvNc4ToNetcdf.py nudge_coords():680 20: 0.374 -0.0027318 -0.0035009 8304 58.57 5.21 -11.08 2012-09-17 23:06:19.818723917 INFO 2020-05-30 00:52:46,742Z lrauvNc4ToNetcdf.py nudge_coords():680 21: 0.400 -0.0003827 -0.0006380 731 5.22 10.67 -22.65 2012-09-17 23:11:39.235356092 INFO 2020-05-30 00:52:46,748Z lrauvNc4ToNetcdf.py nudge_coords():680 22: 0.362 -0.0007223 -0.0044936 7350 51.68 7.31 -16.11 2012-09-18 00:03:20.696768045 INFO 2020-05-30 00:52:46,754Z lrauvNc4ToNetcdf.py nudge_coords():680 23: 0.367 -0.0007368 -0.0013340 1240 9.03 12.44 -27.37 2012-09-18 00:12:27.903259993 INFO 2020-05-30 00:52:46,760Z lrauvNc4ToNetcdf.py nudge_coords():680 24: 0.373 -0.0017602 -0.0053795 7179 50.76 8.60 -19.64 2012-09-18 01:03:15.774271965 INFO 2020-05-30 00:52:46,766Z lrauvNc4ToNetcdf.py nudge_coords():680 25: 0.339 -0.0005557 -0.0006188 535 3.93 12.81 -29.19 2012-09-18 01:07:15.763844013 INFO 2020-05-30 00:52:46,772Z lrauvNc4ToNetcdf.py nudge_coords():680 26: 0.343 -0.0000400 -0.0000638 55 0.44 11.74 -26.76 2012-09-18 01:07:43.548415899 INFO 2020-05-30 00:52:46,778Z lrauvNc4ToNetcdf.py nudge_coords():680 27: 0.376 -0.0001862 -0.0002600 268 1.95 10.84 -24.68 2012-09-18 01:09:41.146431923 INFO 2020-05-30 00:52:46,784Z lrauvNc4ToNetcdf.py nudge_coords():680 28: 0.374 -0.0044787 -0.0073734 10692 76.67 7.43 -17.82 2012-09-18 02:26:22.064676046 INFO 2020-05-30 00:52:46,791Z lrauvNc4ToNetcdf.py nudge_coords():680 29: 0.386 -0.0004958 -0.0005620 513 3.73 11.66 -27.94 2012-09-18 02:30:11.685604095 INFO 2020-05-30 00:52:46,797Z lrauvNc4ToNetcdf.py nudge_coords():680 30: 0.370 -0.0089300 -0.0069606 10745 76.59 6.64 -16.84 2012-09-18 03:46:48.221404076 INFO 2020-05-30 00:52:46,804Z lrauvNc4ToNetcdf.py nudge_coords():680 31: 0.356 -0.0010110 -0.0005925 555 4.05 10.71 -27.13 2012-09-18 03:50:58.879492044 INFO 2020-05-30 00:52:46,811Z lrauvNc4ToNetcdf.py nudge_coords():710 33: - - - 58674 424.20 - - INFO 2020-05-30 00:52:46,811Z lrauvNc4ToNetcdf.py nudge_coords():714 Points in final series = 163371 DEBUG 2020-05-30 00:52:46,812Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():540 Constructing trackingdb url to 3600 seconds beyond time range of file INFO 2020-05-30 00:52:46,824Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():548 http://odss.mbari.org/trackingdb/position/tethys_ac/between/20120917T141938/20120918T115500/data.csv INFO 2020-05-30 00:52:46,869Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():571 Found 0 position values from the Tracking database INFO 2020-05-30 00:52:46,884Z lrauvNc4ToNetcdf.py processResampleNc4File():1143 ['PAR', 'oxygen', 'salinity', 'temperature', 'nitrate', 'chlorophyll', 'bbp470', 'bbp650', 'latitude', 'longitude', 'depth', 'time'] DEBUG 2020-05-30 00:52:46,888Z lrauvNc4ToNetcdf.py write_netcdf():130 Creating netCDF file /mbari/LRAUV/tethys/missionlogs/2012/20120908_20120920/20120917T151928/201209171519_201209181055_10S_sci.nc DEBUG 2020-05-30 00:52:46,952Z lrauvNc4ToNetcdf.py write_netcdf():155 Adding in record variable time DEBUG 2020-05-30 00:52:47,026Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable PAR DEBUG 2020-05-30 00:52:47,032Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable oxygen DEBUG 2020-05-30 00:52:47,036Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable salinity DEBUG 2020-05-30 00:52:47,040Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable temperature DEBUG 2020-05-30 00:52:47,044Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable nitrate DEBUG 2020-05-30 00:52:47,047Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable chlorophyll DEBUG 2020-05-30 00:52:47,051Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable bbp470 DEBUG 2020-05-30 00:52:47,054Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable bbp650 DEBUG 2020-05-30 00:52:47,067Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable latitude DEBUG 2020-05-30 00:52:47,071Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable longitude DEBUG 2020-05-30 00:52:47,075Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable depth DEBUG 2020-05-30 00:52:47,081Z lrauvNc4ToNetcdf.py write_netcdf():174 Adding in global metadata INFO 2020-05-30 00:52:47,218Z lrauvNc4ToNetcdf.py processResampleNc4File():1146 Wrote /mbari/LRAUV/tethys/missionlogs/2012/20120908_20120920/20120917T151928/201209171519_201209181055_10S_sci.nc