INFO 2020-05-30 01:21:26,462Z lrauvNc4ToNetcdf.py processResampleNc4File():994 Reading /mbari/LRAUV/tethys/missionlogs/2012/20120908_20120920/20120917T151928/201209171519_201209181055.nc4 file... INFO 2020-05-30 01:21:26,462Z lrauvNc4ToNetcdf.py processResampleNc4File():995 After copying to /tmp/201209171519_201209181055.nc4 INFO 2020-05-30 01:21:27,737Z lrauvNc4ToNetcdf.py processResampleNc4File():997 Read file /mbari/LRAUV/tethys/missionlogs/2012/20120908_20120920/20120917T151928/201209171519_201209181055.nc4 INFO 2020-05-30 01:21:27,765Z 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 01:21:27,772Z 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 01:21:27,777Z 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 01:21:29,741Z 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 01:21:29,749Z 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 01:21:29,753Z 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 01:21:31,690Z 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 01:21:31,698Z 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 01:21:31,703Z 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 01:21:33,628Z 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 01:21:33,635Z 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 01:21:33,651Z 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 01:21:35,582Z 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 01:21:35,590Z 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 01:21:35,594Z 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 01:21:37,554Z 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 01:21:37,562Z 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 01:21:37,566Z 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 01:21:39,506Z 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 01:21:39,514Z 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 01:21:39,518Z 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 01:21:41,452Z 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 01:21:41,459Z 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 01:21:41,464Z 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 01:21:43,393Z 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 01:21:43,400Z 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 01:21:43,404Z 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 01:21:45,358Z 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 01:21:45,366Z 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 01:21:45,371Z 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 01:21:47,292Z 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 01:21:47,300Z 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 01:21:47,305Z 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 01:21:49,225Z 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 01:21:49,232Z 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 01:21:49,236Z 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 01:21:51,162Z 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 01:21:51,169Z 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 01:21:51,173Z 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 01:21:53,108Z 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 01:21:53,116Z 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 01:21:53,120Z 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 01:21:55,052Z 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 01:21:55,059Z 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 01:21:55,063Z 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 01:21:56,997Z 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 01:21:57,004Z 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 01:21:57,008Z 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 01:21:58,910Z lrauvNc4ToNetcdf.py processResampleNc4File():1006 Dropping from latitude repeated/decreasing values at indices: [ 319 1743 1744] WARNING 2020-05-30 01:21:58,925Z lrauvNc4ToNetcdf.py processResampleNc4File():1006 Dropping from longitude repeated/decreasing values at indices: [ 319 1743 1744] WARNING 2020-05-30 01:21:58,941Z 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 01:21:58,959Z 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 01:21:58,974Z lrauvNc4ToNetcdf.py processResampleNc4File():1010 Creating t variable of the time indexes INFO 2020-05-30 01:21:59,006Z lrauvNc4ToNetcdf.py createSeries():240 platform_buoyancy_position: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [20053 20054 20055 20056 20057 20058 20059 20060 20061 20062 20063 20064 20065 20066 20067 20068 20069 20070 20071 20072 20073 20074 20075 20076 20077 20078 20079 20080] INFO 2020-05-30 01:21:59,007Z 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 10:55:03 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 10:55:05 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 10:55:07 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 10:55:09 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 01:21:59,008Z 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 platform_buoyancy_position INFO 2020-05-30 01:21:59,259Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group BuoyancyServo parameter platform_buoyancy_position renaming to control_inputs_buoyancy_position INFO 2020-05-30 01:21:59,611Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group ElevatorServo parameter platform_elevator_angle renaming to control_inputs_elevator_angle INFO 2020-05-30 01:21:59,710Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group MassServo parameter platform_mass_position renaming to control_inputs_mass_position INFO 2020-05-30 01:22:00,262Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group RudderServo parameter platform_rudder_angle renaming to control_inputs_rudder_angle INFO 2020-05-30 01:22:00,289Z lrauvNc4ToNetcdf.py createSeries():240 platform_propeller_rotation_rate: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [151132 151133 151134 151135 151136 151137 151138 151139 151140 151141 151142 151143 151144 151145 151146 151147 151148 151149 151150 151151 151152 151153 151154 151155 151156 151157 151158 151159] INFO 2020-05-30 01:22:00,290Z 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 10:55:03 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 10:55:06 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 10:55:09 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 10:55:11 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 01:22:00,291Z 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 platform_propeller_rotation_rate INFO 2020-05-30 01:22:02,126Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group ThrusterServo parameter platform_propeller_rotation_rate renaming to control_inputs_propeller_rotation_rate INFO 2020-05-30 01:22:02,135Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group NAL9602 parameter time_fix renaming to fix_time INFO 2020-05-30 01:22:02,143Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group NAL9602 parameter latitude_fix renaming to fix_latitude INFO 2020-05-30 01:22:02,150Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group NAL9602 parameter longitude_fix renaming to fix_longitude INFO 2020-05-30 01:22:02,163Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group Onboard parameter platform_average_current renaming to health_platform_average_current INFO 2020-05-30 01:22:02,213Z lrauvNc4ToNetcdf.py createSeries():240 platform_pitch_angle: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [163360 163361 163362 163363 163364 163365 163366 163367 163368 163369 163370 163371 163372 163373 163374 163375 163376 163377 163378 163379 163380 163381 163382 163383 163384 163385 163386 163387 163388] INFO 2020-05-30 01:22:02,221Z 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 01:22:02,225Z 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 platform_pitch_angle DEBUG 2020-05-30 01:22:04,130Z lrauvNc4ToNetcdf.py createNav():492 calling ts.resample() for pitch DEBUG 2020-05-30 01:22:04,198Z lrauvNc4ToNetcdf.py createNav():494 calling self.interpolate() for pitch INFO 2020-05-30 01:22:04,200Z lrauvNc4ToNetcdf.py createNav():504 platform_pitch_angle -> pitch: {'units': 'n/a', 'standard_name': 'platform_pitch_angle', 'coordinates': 'time depth latitude longitude'} INFO 2020-05-30 01:22:04,235Z lrauvNc4ToNetcdf.py createSeries():240 platform_roll_angle: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [163360 163361 163362 163363 163364 163365 163366 163367 163368 163369 163370 163371 163372 163373 163374 163375 163376 163377 163378 163379 163380 163381 163382 163383 163384 163385 163386 163387 163388] INFO 2020-05-30 01:22:04,243Z 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 01:22:04,247Z 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 platform_roll_angle DEBUG 2020-05-30 01:22:06,133Z lrauvNc4ToNetcdf.py createNav():492 calling ts.resample() for roll DEBUG 2020-05-30 01:22:06,199Z lrauvNc4ToNetcdf.py createNav():494 calling self.interpolate() for roll INFO 2020-05-30 01:22:06,201Z lrauvNc4ToNetcdf.py createNav():504 platform_roll_angle -> roll: {'units': 'n/a', 'standard_name': 'platform_roll_angle', 'coordinates': 'time depth latitude longitude'} INFO 2020-05-30 01:22:06,235Z lrauvNc4ToNetcdf.py createSeries():240 platform_orientation: v_t values found before 2012-09-17 15:19:00 and after 2012-09-18 10:55:00: [163360 163361 163362 163363 163364 163365 163366 163367 163368 163369 163370 163371 163372 163373 163374 163375 163376 163377 163378 163379 163380 163381 163382 163383 163384 163385 163386 163387 163388] INFO 2020-05-30 01:22:06,242Z 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 01:22:06,247Z 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 platform_orientation DEBUG 2020-05-30 01:22:08,164Z lrauvNc4ToNetcdf.py createNav():492 calling ts.resample() for yaw DEBUG 2020-05-30 01:22:08,242Z lrauvNc4ToNetcdf.py createNav():494 calling self.interpolate() for yaw INFO 2020-05-30 01:22:08,244Z lrauvNc4ToNetcdf.py createNav():504 platform_orientation -> yaw: {'units': 'n/a', 'standard_name': 'platform_yaw_angle', 'coordinates': 'time depth latitude longitude'} INFO 2020-05-30 01:22:08,246Z lrauvNc4ToNetcdf.py nudge_coords():624 /mbari/LRAUV/tethys/missionlogs/2012/20120908_20120920/20120917T151928/201209171519_201209181055.nc4 DEBUG 2020-05-30 01:22:10,174Z lrauvNc4ToNetcdf.py var_series():612 longitude: rad_to_deg = True DEBUG 2020-05-30 01:22:12,109Z lrauvNc4ToNetcdf.py var_series():612 latitude: rad_to_deg = True DEBUG 2020-05-30 01:22:12,135Z lrauvNc4ToNetcdf.py var_series():612 longitude_fix: rad_to_deg = True DEBUG 2020-05-30 01:22:12,156Z lrauvNc4ToNetcdf.py var_series():612 latitude_fix: rad_to_deg = True INFO 2020-05-30 01:22:12,156Z 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 01:22:12,158Z lrauvNc4ToNetcdf.py nudge_coords():658 - - - 146 0.98 - - - INFO 2020-05-30 01:22:12,178Z 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 01:22:12,185Z 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 01:22:12,190Z 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 01:22:12,195Z 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 01:22:12,201Z 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 01:22:12,206Z 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 01:22:12,212Z 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 01:22:12,218Z 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 01:22:12,224Z 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 01:22:12,230Z 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 01:22:12,236Z 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 01:22:12,242Z 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 01:22:12,248Z 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 01:22:12,254Z 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 01:22:12,259Z 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 01:22:12,266Z 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 01:22:12,271Z 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 01:22:12,277Z 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 01:22:12,283Z 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 01:22:12,289Z 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 01:22:12,295Z 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 01:22:12,301Z 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 01:22:12,307Z 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 01:22:12,313Z 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 01:22:12,319Z 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 01:22:12,326Z 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 01:22:12,332Z 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 01:22:12,337Z 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 01:22:12,343Z 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 01:22:12,350Z 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 01:22:12,356Z 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 01:22:12,363Z 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 01:22:12,370Z lrauvNc4ToNetcdf.py nudge_coords():710 33: - - - 58674 424.20 - - INFO 2020-05-30 01:22:12,370Z lrauvNc4ToNetcdf.py nudge_coords():714 Points in final series = 163371 DEBUG 2020-05-30 01:22:12,372Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():540 Constructing trackingdb url to 3600 seconds beyond time range of file INFO 2020-05-30 01:22:12,383Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():548 http://odss.mbari.org/trackingdb/position/tethys_ac/between/20120917T141938/20120918T115500/data.csv INFO 2020-05-30 01:22:12,420Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():571 Found 0 position values from the Tracking database INFO 2020-05-30 01:22:12,430Z lrauvNc4ToNetcdf.py processResampleNc4File():1143 ['control_inputs_buoyancy_position', 'control_inputs_elevator_angle', 'control_inputs_mass_position', 'control_inputs_rudder_angle', 'control_inputs_propeller_rotation_rate', 'fix_time', 'fix_latitude', 'fix_longitude', 'health_platform_average_current', 'pitch', 'roll', 'yaw', 'latitude', 'longitude', 'depth', 'time'] DEBUG 2020-05-30 01:22:12,435Z lrauvNc4ToNetcdf.py write_netcdf():130 Creating netCDF file /mbari/LRAUV/tethys/missionlogs/2012/20120908_20120920/20120917T151928/201209171519_201209181055_2S_eng.nc DEBUG 2020-05-30 01:22:12,495Z lrauvNc4ToNetcdf.py write_netcdf():155 Adding in record variable fix_time DEBUG 2020-05-30 01:22:12,513Z lrauvNc4ToNetcdf.py write_netcdf():155 Adding in record variable time DEBUG 2020-05-30 01:22:12,520Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable control_inputs_buoyancy_position DEBUG 2020-05-30 01:22:12,523Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable control_inputs_elevator_angle DEBUG 2020-05-30 01:22:12,525Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable control_inputs_mass_position DEBUG 2020-05-30 01:22:12,527Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable control_inputs_rudder_angle DEBUG 2020-05-30 01:22:12,528Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable control_inputs_propeller_rotation_rate DEBUG 2020-05-30 01:22:12,531Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable fix_latitude DEBUG 2020-05-30 01:22:12,532Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable fix_longitude DEBUG 2020-05-30 01:22:12,558Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable health_platform_average_current DEBUG 2020-05-30 01:22:12,560Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable pitch DEBUG 2020-05-30 01:22:12,562Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable roll DEBUG 2020-05-30 01:22:12,564Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable yaw DEBUG 2020-05-30 01:22:12,566Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable latitude DEBUG 2020-05-30 01:22:12,589Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable longitude DEBUG 2020-05-30 01:22:12,591Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable depth DEBUG 2020-05-30 01:22:12,593Z lrauvNc4ToNetcdf.py write_netcdf():174 Adding in global metadata INFO 2020-05-30 01:22:12,729Z lrauvNc4ToNetcdf.py processResampleNc4File():1146 Wrote /mbari/LRAUV/tethys/missionlogs/2012/20120908_20120920/20120917T151928/201209171519_201209181055_2S_eng.nc