INFO 2020-05-30 00:48:14,618Z lrauvNc4ToNetcdf.py processResampleNc4File():994 Reading /mbari/LRAUV/tethys/missionlogs/2012/20120908_20120920/20120915T030845/201209150308_201209170252.nc4 file... INFO 2020-05-30 00:48:14,618Z lrauvNc4ToNetcdf.py processResampleNc4File():995 After copying to /tmp/201209150308_201209170252.nc4 INFO 2020-05-30 00:48:15,900Z lrauvNc4ToNetcdf.py processResampleNc4File():997 Read file /mbari/LRAUV/tethys/missionlogs/2012/20120908_20120920/20120915T030845/201209150308_201209170252.nc4 INFO 2020-05-30 00:48:15,954Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2012-09-15 03:08:00 and after 2012-09-17 02:52:00: [384502 384503 384504 384505 384506 384507 384508 384509 384510 384511 384512 384513 384514 384515 384516 384517 384518 384519 384520 384521 384522 384523 384524 384525 384526 384527 384528 384529 384530 384531] INFO 2020-05-30 00:48:15,962Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012'] INFO 2020-05-30 00:48:15,966Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09] for variable latitude INFO 2020-05-30 00:48:20,497Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2012-09-15 03:08:00 and after 2012-09-17 02:52:00: [384502 384503 384504 384505 384506 384507 384508 384509 384510 384511 384512 384513 384514 384515 384516 384517 384518 384519 384520 384521 384522 384523 384524 384525 384526 384527 384528 384529 384530 384531] INFO 2020-05-30 00:48:20,505Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012'] INFO 2020-05-30 00:48:20,509Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09] for variable longitude INFO 2020-05-30 00:48:24,990Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2012-09-15 03:08:00 and after 2012-09-17 02:52:00: [386268 386269 386270 386271 386272 386273 386274 386275 386276 386277 386278 386279 386280 386281 386282 386283 386284 386285 386286 386287 386288 386289 386290 386291 386292 386293 386294 386295 386296 386297] INFO 2020-05-30 00:48:24,998Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012'] INFO 2020-05-30 00:48:25,003Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09] for variable depth INFO 2020-05-30 00:48:29,521Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2012-09-15 03:08:00 and after 2012-09-17 02:52:00: [386266 386267 386268 386269 386270 386271 386272 386273 386274 386275 386276 386277 386278 386279 386280 386281 386282 386283 386284 386285 386286 386287 386288 386289 386290 386291 386292 386293 386294 386295] INFO 2020-05-30 00:48:29,529Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012'] INFO 2020-05-30 00:48:29,534Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09] for variable time INFO 2020-05-30 00:48:34,050Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2012-09-15 03:08:00 and after 2012-09-17 02:52:00: [384502 384503 384504 384505 384506 384507 384508 384509 384510 384511 384512 384513 384514 384515 384516 384517 384518 384519 384520 384521 384522 384523 384524 384525 384526 384527 384528 384529 384530 384531] INFO 2020-05-30 00:48:34,058Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012'] INFO 2020-05-30 00:48:34,062Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09] for variable latitude INFO 2020-05-30 00:48:38,572Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2012-09-15 03:08:00 and after 2012-09-17 02:52:00: [384502 384503 384504 384505 384506 384507 384508 384509 384510 384511 384512 384513 384514 384515 384516 384517 384518 384519 384520 384521 384522 384523 384524 384525 384526 384527 384528 384529 384530 384531] INFO 2020-05-30 00:48:38,580Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012'] INFO 2020-05-30 00:48:38,584Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09] for variable longitude INFO 2020-05-30 00:48:43,060Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2012-09-15 03:08:00 and after 2012-09-17 02:52:00: [386268 386269 386270 386271 386272 386273 386274 386275 386276 386277 386278 386279 386280 386281 386282 386283 386284 386285 386286 386287 386288 386289 386290 386291 386292 386293 386294 386295 386296 386297] INFO 2020-05-30 00:48:43,067Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012'] INFO 2020-05-30 00:48:43,072Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09] for variable depth INFO 2020-05-30 00:48:47,566Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2012-09-15 03:08:00 and after 2012-09-17 02:52:00: [386266 386267 386268 386269 386270 386271 386272 386273 386274 386275 386276 386277 386278 386279 386280 386281 386282 386283 386284 386285 386286 386287 386288 386289 386290 386291 386292 386293 386294 386295] INFO 2020-05-30 00:48:47,574Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012'] INFO 2020-05-30 00:48:47,578Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09] for variable time INFO 2020-05-30 00:48:52,072Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2012-09-15 03:08:00 and after 2012-09-17 02:52:00: [384502 384503 384504 384505 384506 384507 384508 384509 384510 384511 384512 384513 384514 384515 384516 384517 384518 384519 384520 384521 384522 384523 384524 384525 384526 384527 384528 384529 384530 384531] INFO 2020-05-30 00:48:52,080Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012'] INFO 2020-05-30 00:48:52,084Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09] for variable latitude INFO 2020-05-30 00:48:56,575Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2012-09-15 03:08:00 and after 2012-09-17 02:52:00: [384502 384503 384504 384505 384506 384507 384508 384509 384510 384511 384512 384513 384514 384515 384516 384517 384518 384519 384520 384521 384522 384523 384524 384525 384526 384527 384528 384529 384530 384531] INFO 2020-05-30 00:48:56,583Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012'] INFO 2020-05-30 00:48:56,587Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09] for variable longitude INFO 2020-05-30 00:49:01,051Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2012-09-15 03:08:00 and after 2012-09-17 02:52:00: [386268 386269 386270 386271 386272 386273 386274 386275 386276 386277 386278 386279 386280 386281 386282 386283 386284 386285 386286 386287 386288 386289 386290 386291 386292 386293 386294 386295 386296 386297] INFO 2020-05-30 00:49:01,059Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012'] INFO 2020-05-30 00:49:01,064Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09] for variable depth INFO 2020-05-30 00:49:05,591Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2012-09-15 03:08:00 and after 2012-09-17 02:52:00: [386266 386267 386268 386269 386270 386271 386272 386273 386274 386275 386276 386277 386278 386279 386280 386281 386282 386283 386284 386285 386286 386287 386288 386289 386290 386291 386292 386293 386294 386295] INFO 2020-05-30 00:49:05,598Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012'] INFO 2020-05-30 00:49:05,603Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09] for variable time INFO 2020-05-30 00:49:10,132Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2012-09-15 03:08:00 and after 2012-09-17 02:52:00: [384502 384503 384504 384505 384506 384507 384508 384509 384510 384511 384512 384513 384514 384515 384516 384517 384518 384519 384520 384521 384522 384523 384524 384525 384526 384527 384528 384529 384530 384531] INFO 2020-05-30 00:49:10,141Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012'] INFO 2020-05-30 00:49:10,145Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09] for variable latitude INFO 2020-05-30 00:49:14,675Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2012-09-15 03:08:00 and after 2012-09-17 02:52:00: [384502 384503 384504 384505 384506 384507 384508 384509 384510 384511 384512 384513 384514 384515 384516 384517 384518 384519 384520 384521 384522 384523 384524 384525 384526 384527 384528 384529 384530 384531] INFO 2020-05-30 00:49:14,684Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012'] INFO 2020-05-30 00:49:14,688Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09] for variable longitude INFO 2020-05-30 00:49:19,136Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2012-09-15 03:08:00 and after 2012-09-17 02:52:00: [386268 386269 386270 386271 386272 386273 386274 386275 386276 386277 386278 386279 386280 386281 386282 386283 386284 386285 386286 386287 386288 386289 386290 386291 386292 386293 386294 386295 386296 386297] INFO 2020-05-30 00:49:19,145Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012'] INFO 2020-05-30 00:49:19,149Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09] for variable depth INFO 2020-05-30 00:49:23,654Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2012-09-15 03:08:00 and after 2012-09-17 02:52:00: [386266 386267 386268 386269 386270 386271 386272 386273 386274 386275 386276 386277 386278 386279 386280 386281 386282 386283 386284 386285 386286 386287 386288 386289 386290 386291 386292 386293 386294 386295] INFO 2020-05-30 00:49:23,662Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012'] INFO 2020-05-30 00:49:23,667Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09] for variable time WARNING 2020-05-30 00:49:28,102Z lrauvNc4ToNetcdf.py processResampleNc4File():1006 Dropping from latitude repeated/decreasing values at indices: [3315] WARNING 2020-05-30 00:49:28,143Z lrauvNc4ToNetcdf.py processResampleNc4File():1006 Dropping from longitude repeated/decreasing values at indices: [3315] WARNING 2020-05-30 00:49:28,187Z lrauvNc4ToNetcdf.py processResampleNc4File():1006 Dropping from depth repeated/decreasing values at indices: [1766 1767 1768 1769 1770 1771 1772 1773 1774 1775 1776 1777 1778 1779 1780 1781 1782 1783 1784 1785 1786 1787 1788 1789 1790 1791 1792 1793 1794 1795 1796 1797 1798 1799 1800 1801 1802 1803 1804 1805 1806 1807 1808 1809 1810 1811 1812 1813 1814 1815 1816 1817 1818 1819 1820 1821 1822 1823 1824 1825 1826 1827 1828 1829 1830 1831 1832 1833 1834 1835 1836 1837 1838 1839 1840 1841 1842 1843 1844 1845 1846 1847 1848 1849 1850 1851 1852 1853 1854 1855 1856 1857 1858 1859 1860 5082] WARNING 2020-05-30 00:49:28,228Z lrauvNc4ToNetcdf.py processResampleNc4File():1006 Dropping from time repeated/decreasing values at indices: [1764 1765 1766 1767 1768 1769 1770 1771 1772 1773 1774 1775 1776 1777 1778 1779 1780 1781 1782 1783 1784 1785 1786 1787 1788 1789 1790 1791 1792 1793 1794 1795 1796 1797 1798 1799 1800 1801 1802 1803 1804 1805 1806 1807 1808 1809 1810 1811 1812 1813 1814 1815 1816 1817 1818 1819 1820 1821 1822 1823 1824 1825 1826 1827 1828 1829 1830 1831 1832 1833 1834 1835 1836 1837 1838 1839 1840 1841 1842 1843 1844 1845 1846 1847 1848 1849 1850 1851 1852 1853 1854 1855 1856 1857 1858 5080] INFO 2020-05-30 00:49:28,268Z lrauvNc4ToNetcdf.py processResampleNc4File():1010 Creating t variable of the time indexes INFO 2020-05-30 00:49:28,363Z lrauvNc4ToNetcdf.py createSeries():240 downwelling_photosynthetic_photon_flux_in_sea_water: v_t values found before 2012-09-15 03:08:00 and after 2012-09-17 02:52:00: [386266 386267 386268 386269 386270 386271 386272 386273 386274 386275 386276 386277 386278 386279 386280 386281 386282 386283 386284 386285 386286 386287 386288 386289 386290 386291 386292 386293 386294 386295] INFO 2020-05-30 00:49:28,364Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012'] INFO 2020-05-30 00:49:28,365Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09] for variable downwelling_photosynthetic_photon_flux_in_sea_water INFO 2020-05-30 00:49:32,916Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group PAR_Licor parameter downwelling_photosynthetic_photon_flux_in_sea_water renaming to PAR INFO 2020-05-30 00:49:32,927Z lrauvNc4ToNetcdf.py createSeries():240 mass_concentration_of_oxygen_in_sea_water: v_t values found before 2012-09-15 03:08:00 and after 2012-09-17 02:52:00: [117524 117525 117526 117527 117528 117529 117530 117531 117532 117533 117534 117535] INFO 2020-05-30 00:49:32,927Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:12 2012'] INFO 2020-05-30 00:49:32,928Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09] for variable mass_concentration_of_oxygen_in_sea_water INFO 2020-05-30 00:49:34,296Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group Aanderaa_O2 parameter mass_concentration_of_oxygen_in_sea_water renaming to oxygen INFO 2020-05-30 00:49:34,382Z lrauvNc4ToNetcdf.py createSeries():240 sea_water_salinity: v_t values found before 2012-09-15 03:08:00 and after 2012-09-17 02:52:00: [601371 601372 601373 601374 601375 601376 601377 601378 601379 601380 601381 601382 601383 601384 601385 601386 601387 601388 601389 601390 601391 601392 601393 601394 601395 601396 601397 601398 601399 601400 601401 601402 601403 601404 601405 601406 601407 601408 601409 601410 601411 601412 601413 601414 601415 601416 601417 601418 601419 601420 601421 601422 601423 601424 601425 601426 601427 601428 601429 601430] INFO 2020-05-30 00:49:34,384Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012'] INFO 2020-05-30 00:49:34,385Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09] for variable sea_water_salinity INFO 2020-05-30 00:49:41,329Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group CTD_NeilBrown parameter sea_water_salinity renaming to salinity INFO 2020-05-30 00:49:41,413Z lrauvNc4ToNetcdf.py createSeries():240 sea_water_temperature: v_t values found before 2012-09-15 03:08:00 and after 2012-09-17 02:52:00: [601371 601372 601373 601374 601375 601376 601377 601378 601379 601380 601381 601382 601383 601384 601385 601386 601387 601388 601389 601390 601391 601392 601393 601394 601395 601396 601397 601398 601399 601400 601401 601402 601403 601404 601405 601406 601407 601408 601409 601410 601411 601412 601413 601414 601415 601416 601417 601418 601419 601420 601421 601422 601423 601424 601425 601426 601427 601428 601429 601430] INFO 2020-05-30 00:49:41,414Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012'] INFO 2020-05-30 00:49:41,416Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09] for variable sea_water_temperature INFO 2020-05-30 00:49:48,337Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group CTD_NeilBrown parameter sea_water_temperature renaming to temperature INFO 2020-05-30 00:49:48,345Z lrauvNc4ToNetcdf.py createSeries():240 mole_concentration_of_nitrate_in_sea_water: v_t values found before 2012-09-15 03:08:00 and after 2012-09-17 02:52:00: [79497 79498 79499 79500 79501 79502 79503 79504 79505] INFO 2020-05-30 00:49:48,346Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:12 2012'] INFO 2020-05-30 00:49:48,346Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09] for variable mole_concentration_of_nitrate_in_sea_water INFO 2020-05-30 00:49:49,319Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group ISUS parameter mole_concentration_of_nitrate_in_sea_water renaming to nitrate INFO 2020-05-30 00:49:49,577Z lrauvNc4ToNetcdf.py createSeries():240 mass_concentration_of_chlorophyll_in_sea_water: v_t values found before 2012-09-15 03:08:00 and after 2012-09-17 02:52:00: [1411365 1411366 1411367 1411368 1411369 1411370 1411371 1411372 1411373 1411374 1411375 1411376 1411377 1411378 1411379 1411380 1411381 1411382 1411383 1411384 1411385 1411386 1411387 1411388 1411389 1411390 1411391 1411392 1411393 1411394 1411395 1411396 1411397 1411398 1411399 1411400 1411401 1411402 1411403 1411404 1411405 1411406 1411407 1411408 1411409 1411410 1411411 1411412 1411413 1411414 1411415 1411416 1411417 1411418 1411419 1411420 1411421 1411422 1411423 1411424 1411425 1411426 1411427 1411428 1411429 1411430 1411431 1411432 1411433 1411434 1411435 1411436 1411437 1411438 1411439 1411440 1411441 1411442 1411443 1411444 1411445 1411446 1411447 1411448 1411449 1411450 1411451 1411452 1411453 1411454 1411455 1411456 1411457 1411458 1411459 1411460 1411461 1411462 1411463 1411464 1411465 1411466 1411467 1411468 1411469 1411470 1411471 1411472 1411473 1411474 1411475 1411476 1411477 1411478 1411479 1411480 1411481 1411482 1411483 1411484 1411485 1411486 1411487 1411488 1411489 1411490 1411491 1411492 1411493 1411494 1411495 1411496 1411497 1411498 1411499 1411500 1411501 1411502 1411503] INFO 2020-05-30 00:49:49,579Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012'] INFO 2020-05-30 00:49:49,581Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09] for variable mass_concentration_of_chlorophyll_in_sea_water INFO 2020-05-30 00:50:05,833Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group WetLabsBB2FL parameter mass_concentration_of_chlorophyll_in_sea_water renaming to chlorophyll INFO 2020-05-30 00:50:06,072Z lrauvNc4ToNetcdf.py createSeries():240 Output470: v_t values found before 2012-09-15 03:08:00 and after 2012-09-17 02:52:00: [1411365 1411366 1411367 1411368 1411369 1411370 1411371 1411372 1411373 1411374 1411375 1411376 1411377 1411378 1411379 1411380 1411381 1411382 1411383 1411384 1411385 1411386 1411387 1411388 1411389 1411390 1411391 1411392 1411393 1411394 1411395 1411396 1411397 1411398 1411399 1411400 1411401 1411402 1411403 1411404 1411405 1411406 1411407 1411408 1411409 1411410 1411411 1411412 1411413 1411414 1411415 1411416 1411417 1411418 1411419 1411420 1411421 1411422 1411423 1411424 1411425 1411426 1411427 1411428 1411429 1411430 1411431 1411432 1411433 1411434 1411435 1411436 1411437 1411438 1411439 1411440 1411441 1411442 1411443 1411444 1411445 1411446 1411447 1411448 1411449 1411450 1411451 1411452 1411453 1411454 1411455 1411456 1411457 1411458 1411459 1411460 1411461 1411462 1411463 1411464 1411465 1411466 1411467 1411468 1411469 1411470 1411471 1411472 1411473 1411474 1411475 1411476 1411477 1411478 1411479 1411480 1411481 1411482 1411483 1411484 1411485 1411486 1411487 1411488 1411489 1411490 1411491 1411492 1411493 1411494 1411495 1411496 1411497 1411498 1411499 1411500 1411501 1411502 1411503] INFO 2020-05-30 00:50:06,074Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012'] INFO 2020-05-30 00:50:06,076Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09] for variable Output470 INFO 2020-05-30 00:50:22,704Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group WetLabsBB2FL parameter Output470 renaming to bbp470 INFO 2020-05-30 00:50:22,983Z lrauvNc4ToNetcdf.py createSeries():240 Output650: v_t values found before 2012-09-15 03:08:00 and after 2012-09-17 02:52:00: [1411365 1411366 1411367 1411368 1411369 1411370 1411371 1411372 1411373 1411374 1411375 1411376 1411377 1411378 1411379 1411380 1411381 1411382 1411383 1411384 1411385 1411386 1411387 1411388 1411389 1411390 1411391 1411392 1411393 1411394 1411395 1411396 1411397 1411398 1411399 1411400 1411401 1411402 1411403 1411404 1411405 1411406 1411407 1411408 1411409 1411410 1411411 1411412 1411413 1411414 1411415 1411416 1411417 1411418 1411419 1411420 1411421 1411422 1411423 1411424 1411425 1411426 1411427 1411428 1411429 1411430 1411431 1411432 1411433 1411434 1411435 1411436 1411437 1411438 1411439 1411440 1411441 1411442 1411443 1411444 1411445 1411446 1411447 1411448 1411449 1411450 1411451 1411452 1411453 1411454 1411455 1411456 1411457 1411458 1411459 1411460 1411461 1411462 1411463 1411464 1411465 1411466 1411467 1411468 1411469 1411470 1411471 1411472 1411473 1411474 1411475 1411476 1411477 1411478 1411479 1411480 1411481 1411482 1411483 1411484 1411485 1411486 1411487 1411488 1411489 1411490 1411491 1411492 1411493 1411494 1411495 1411496 1411497 1411498 1411499 1411500 1411501 1411502 1411503] INFO 2020-05-30 00:50:22,985Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:00 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:01 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:02 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:03 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:04 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:05 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:06 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:07 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:08 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:09 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:10 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:11 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012', 'Mon Sep 17 02:52:12 2012'] INFO 2020-05-30 00:50:22,987Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785032e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09 1.34785033e+09] for variable Output650 INFO 2020-05-30 00:50:39,247Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group WetLabsBB2FL parameter Output650 renaming to bbp650 INFO 2020-05-30 00:50:39,251Z lrauvNc4ToNetcdf.py nudge_coords():624 /mbari/LRAUV/tethys/missionlogs/2012/20120908_20120920/20120915T030845/201209150308_201209170252.nc4 DEBUG 2020-05-30 00:50:43,814Z lrauvNc4ToNetcdf.py var_series():612 longitude: rad_to_deg = True DEBUG 2020-05-30 00:50:48,298Z lrauvNc4ToNetcdf.py var_series():612 latitude: rad_to_deg = True DEBUG 2020-05-30 00:50:48,326Z lrauvNc4ToNetcdf.py var_series():612 longitude_fix: rad_to_deg = True DEBUG 2020-05-30 00:50:48,347Z lrauvNc4ToNetcdf.py var_series():612 latitude_fix: rad_to_deg = True INFO 2020-05-30 00:50:48,348Z 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 00:50:48,350Z lrauvNc4ToNetcdf.py nudge_coords():658 - - - 96 0.70 - - - INFO 2020-05-30 00:50:48,390Z lrauvNc4ToNetcdf.py nudge_coords():680 0: 0.365 0.0013895 0.0004947 1576 16.17 0.21 5.67 2012-09-15 03:37:02.126683949 INFO 2020-05-30 00:50:48,397Z lrauvNc4ToNetcdf.py nudge_coords():680 1: 0.393 -0.0000055 -0.0000282 7 0.04 -4.83 -127.75 2012-09-15 03:37:06.465611935 INFO 2020-05-30 00:50:48,403Z lrauvNc4ToNetcdf.py nudge_coords():680 2: 0.418 0.0001893 0.0000552 304 2.15 0.18 4.75 2012-09-15 03:39:16.285471916 INFO 2020-05-30 00:50:48,409Z lrauvNc4ToNetcdf.py nudge_coords():680 3: 0.330 0.0000000 0.0000000 1137 7.57 0.00 0.00 2012-09-15 03:46:52.013312101 INFO 2020-05-30 00:50:48,415Z lrauvNc4ToNetcdf.py nudge_coords():680 4: 0.278 0.0000000 0.0000000 198 1.37 0.00 0.00 2012-09-15 03:48:14.407167912 INFO 2020-05-30 00:50:48,421Z lrauvNc4ToNetcdf.py nudge_coords():680 5: 0.345 0.0004827 0.0002733 865 5.76 0.34 8.79 2012-09-15 03:54:00.500351906 INFO 2020-05-30 00:50:48,427Z lrauvNc4ToNetcdf.py nudge_coords():680 6: 0.413 0.0000807 0.0000205 117 0.81 0.18 4.72 2012-09-15 03:54:50.361567974 INFO 2020-05-30 00:50:48,433Z lrauvNc4ToNetcdf.py nudge_coords():680 7: 0.396 0.0010543 0.0004520 996 6.63 0.49 12.63 2012-09-15 04:01:28.999275923 INFO 2020-05-30 00:50:48,439Z lrauvNc4ToNetcdf.py nudge_coords():680 8: 0.348 0.0003283 0.0000027 834 5.81 0.00 0.09 2012-09-15 04:07:18.706239939 INFO 2020-05-30 00:50:48,446Z lrauvNc4ToNetcdf.py nudge_coords():680 9: 0.380 0.0000140 -0.0000065 9 0.05 -0.88 -22.72 2012-09-15 04:07:23.219356060 INFO 2020-05-30 00:50:48,452Z lrauvNc4ToNetcdf.py nudge_coords():680 10: 0.382 0.0000493 0.0000052 64 0.45 0.08 2.11 2012-09-15 04:07:51.291100025 INFO 2020-05-30 00:50:48,458Z lrauvNc4ToNetcdf.py nudge_coords():680 11: 0.375 0.0085919 0.0026956 10204 79.46 0.17 6.29 2012-09-15 05:27:19.890147924 INFO 2020-05-30 00:50:48,465Z lrauvNc4ToNetcdf.py nudge_coords():680 12: 0.368 0.0010675 -0.0001302 1097 12.62 -0.05 -1.91 2012-09-15 05:40:03.119303942 INFO 2020-05-30 00:50:48,471Z lrauvNc4ToNetcdf.py nudge_coords():680 13: 0.357 0.0003808 -0.0002735 441 7.74 -0.18 -6.55 2012-09-15 05:47:49.293792009 INFO 2020-05-30 00:50:48,477Z lrauvNc4ToNetcdf.py nudge_coords():680 14: 0.368 0.0004620 -0.0002590 448 7.76 -0.17 -6.18 2012-09-15 05:55:35.619107962 INFO 2020-05-30 00:50:48,483Z lrauvNc4ToNetcdf.py nudge_coords():680 15: 0.315 0.0006435 -0.0003367 792 10.25 -0.16 -6.09 2012-09-15 06:05:51.787480116 INFO 2020-05-30 00:50:48,491Z lrauvNc4ToNetcdf.py nudge_coords():680 16: 0.384 0.0006807 -0.0001020 1132 12.70 -0.04 -1.49 2012-09-15 06:18:34.990436077 INFO 2020-05-30 00:50:48,498Z lrauvNc4ToNetcdf.py nudge_coords():680 17: 0.353 0.0004798 -0.0000950 742 9.90 -0.05 -1.78 2012-09-15 06:28:31.259495974 INFO 2020-05-30 00:50:48,505Z lrauvNc4ToNetcdf.py nudge_coords():680 18: 0.362 0.0010315 -0.0002367 1484 15.25 -0.07 -2.88 2012-09-15 06:43:46.816764116 INFO 2020-05-30 00:50:48,511Z lrauvNc4ToNetcdf.py nudge_coords():680 19: 0.350 0.0004157 -0.0001043 347 5.73 -0.09 -3.38 2012-09-15 06:49:32.665055990 INFO 2020-05-30 00:50:48,517Z lrauvNc4ToNetcdf.py nudge_coords():680 20: 0.380 0.0001720 0.0000115 282 1.99 0.03 1.07 2012-09-15 06:51:32.199264050 INFO 2020-05-30 00:50:48,523Z lrauvNc4ToNetcdf.py nudge_coords():680 21: 0.369 0.0007117 0.0000995 1119 7.46 0.06 2.47 2012-09-15 06:59:00.430083990 INFO 2020-05-30 00:50:48,529Z lrauvNc4ToNetcdf.py nudge_coords():680 22: 0.356 0.0002968 -0.0000020 531 3.72 -0.00 -0.10 2012-09-15 07:02:46.539007902 INFO 2020-05-30 00:50:48,536Z lrauvNc4ToNetcdf.py nudge_coords():680 23: 0.375 0.0137478 0.0019797 10880 83.91 0.03 4.37 2012-09-15 08:26:41.708575964 INFO 2020-05-30 00:50:48,543Z lrauvNc4ToNetcdf.py nudge_coords():680 24: 0.342 0.0020265 -0.0005857 1536 15.69 -0.04 -6.92 2012-09-15 08:42:31.209248066 INFO 2020-05-30 00:50:48,549Z lrauvNc4ToNetcdf.py nudge_coords():680 25: 0.377 0.0002615 -0.0000725 288 2.04 -0.04 -6.60 2012-09-15 08:44:34.154139996 INFO 2020-05-30 00:50:48,555Z lrauvNc4ToNetcdf.py nudge_coords():680 26: 0.351 0.0013101 -0.0004597 1251 8.33 -0.06 -10.22 2012-09-15 08:52:55.124511957 INFO 2020-05-30 00:50:48,562Z lrauvNc4ToNetcdf.py nudge_coords():680 27: 0.380 0.0000965 -0.0000463 82 0.57 -0.09 -14.99 2012-09-15 08:53:31.418047905 INFO 2020-05-30 00:50:48,568Z lrauvNc4ToNetcdf.py nudge_coords():680 28: 0.339 0.0032803 -0.0003051 1824 13.39 -0.00 -4.22 2012-09-15 09:06:55.431492090 INFO 2020-05-30 00:50:48,574Z lrauvNc4ToNetcdf.py nudge_coords():680 29: 0.364 0.0006460 -0.0003352 640 4.62 -0.00 -13.44 2012-09-15 09:11:33.319299936 INFO 2020-05-30 00:50:48,580Z lrauvNc4ToNetcdf.py nudge_coords():680 30: 0.252 0.0143662 -0.0014264 7420 54.29 0.11 -4.87 2012-09-15 10:05:51.540380001 INFO 2020-05-30 00:50:48,587Z lrauvNc4ToNetcdf.py nudge_coords():680 31: 0.392 0.0006123 -0.0006265 861 6.27 0.44 -18.51 2012-09-15 10:12:13.343067884 INFO 2020-05-30 00:50:48,594Z lrauvNc4ToNetcdf.py nudge_coords():680 32: 0.362 0.0114778 -0.0037820 6916 51.04 0.67 -13.73 2012-09-15 11:03:17.609503984 INFO 2020-05-30 00:50:48,600Z lrauvNc4ToNetcdf.py nudge_coords():680 33: 0.385 0.0003517 -0.0015182 1278 9.24 1.54 -30.44 2012-09-15 11:12:36.494623899 INFO 2020-05-30 00:50:48,607Z lrauvNc4ToNetcdf.py nudge_coords():680 34: 0.334 0.0082057 -0.0044760 7134 52.81 1.19 -15.70 2012-09-15 12:05:26.901436090 INFO 2020-05-30 00:50:48,614Z lrauvNc4ToNetcdf.py nudge_coords():680 35: 0.372 -0.0002608 -0.0007385 736 5.37 1.95 -25.49 2012-09-15 12:10:54.202235937 INFO 2020-05-30 00:50:48,620Z lrauvNc4ToNetcdf.py nudge_coords():680 36: 0.369 0.0045872 -0.0034758 7400 54.96 1.16 -11.72 2012-09-15 13:05:52.482912064 INFO 2020-05-30 00:50:48,628Z lrauvNc4ToNetcdf.py nudge_coords():680 37: 0.360 -0.0012410 -0.0014302 1789 12.87 2.07 -20.60 2012-09-15 13:18:50.035556078 INFO 2020-05-30 00:50:48,635Z lrauvNc4ToNetcdf.py nudge_coords():680 38: 0.383 -0.0010988 -0.0028862 6635 48.39 1.25 -11.05 2012-09-15 14:07:15.740096092 INFO 2020-05-30 00:50:48,642Z lrauvNc4ToNetcdf.py nudge_coords():680 39: 0.002 0.0000000 0.0000000 585 4.25 -0.00 0.00 2012-09-15 14:11:35.022527933 INFO 2020-05-30 00:50:48,649Z lrauvNc4ToNetcdf.py nudge_coords():680 40: 0.335 0.0011001 0.0005545 7335 54.25 -0.17 1.89 2012-09-15 15:05:50.194276094 INFO 2020-05-30 00:50:48,656Z lrauvNc4ToNetcdf.py nudge_coords():680 41: 0.394 -0.0007528 -0.0002262 1143 8.23 0.47 -5.09 2012-09-15 15:14:09.791268110 INFO 2020-05-30 00:50:48,662Z lrauvNc4ToNetcdf.py nudge_coords():680 42: 0.371 0.0001997 -0.0003425 6548 48.07 0.13 -1.32 2012-09-15 16:02:16.001312017 INFO 2020-05-30 00:50:48,669Z lrauvNc4ToNetcdf.py nudge_coords():680 43: 0.372 -0.0005628 -0.0004557 849 6.18 1.34 -13.66 2012-09-15 16:08:30.931548119 INFO 2020-05-30 00:50:48,676Z lrauvNc4ToNetcdf.py nudge_coords():680 44: 0.356 -0.0013038 -0.0014540 8297 60.71 0.56 -4.44 2012-09-15 17:09:14.751008034 INFO 2020-05-30 00:50:48,683Z lrauvNc4ToNetcdf.py nudge_coords():680 45: 0.357 -0.0010510 -0.0006752 1093 7.87 2.00 -15.89 2012-09-15 17:17:12.364104033 INFO 2020-05-30 00:50:48,690Z lrauvNc4ToNetcdf.py nudge_coords():680 46: 0.370 -0.0043631 -0.0029142 6392 46.62 1.71 -11.58 2012-09-15 18:03:51.058619976 INFO 2020-05-30 00:50:48,697Z lrauvNc4ToNetcdf.py nudge_coords():680 47: 0.385 -0.0023573 -0.0004503 1263 9.26 1.33 -9.01 2012-09-15 18:13:11.918431997 INFO 2020-05-30 00:50:48,704Z lrauvNc4ToNetcdf.py nudge_coords():680 48: 0.370 -0.0074947 -0.0023743 7630 55.07 1.25 -7.99 2012-09-15 19:08:17.209115982 INFO 2020-05-30 00:50:48,711Z lrauvNc4ToNetcdf.py nudge_coords():680 49: 0.355 -0.0010133 -0.0006032 833 6.01 2.92 -18.61 2012-09-15 19:14:23.392420053 INFO 2020-05-30 00:50:48,718Z lrauvNc4ToNetcdf.py nudge_coords():680 50: 0.383 -0.0035075 -0.0010231 7048 52.01 0.50 -3.65 2012-09-15 20:06:24.488476038 INFO 2020-05-30 00:50:48,726Z lrauvNc4ToNetcdf.py nudge_coords():680 51: 0.368 -0.0010025 -0.0005310 1136 8.20 1.67 -12.00 2012-09-15 20:14:43.118135929 INFO 2020-05-30 00:50:48,732Z lrauvNc4ToNetcdf.py nudge_coords():680 52: 0.385 -0.0045674 -0.0021996 6934 50.98 1.14 -8.00 2012-09-15 21:05:42.666824102 INFO 2020-05-30 00:50:48,740Z lrauvNc4ToNetcdf.py nudge_coords():680 53: 0.355 -0.0010943 -0.0007708 1364 9.75 2.09 -14.65 2012-09-15 21:15:32.211447954 INFO 2020-05-30 00:50:48,747Z lrauvNc4ToNetcdf.py nudge_coords():680 54: 0.374 -0.0040549 -0.0023048 6578 47.83 1.47 -8.93 2012-09-15 22:03:23.584671974 INFO 2020-05-30 00:50:48,754Z lrauvNc4ToNetcdf.py nudge_coords():680 55: 0.356 -0.0008200 -0.0009653 906 6.59 4.50 -27.16 2012-09-15 22:10:03.143199921 INFO 2020-05-30 00:50:48,761Z lrauvNc4ToNetcdf.py nudge_coords():680 56: 0.355 -0.0083415 -0.0045992 8504 61.67 2.69 -13.82 2012-09-15 23:11:44.088959932 INFO 2020-05-30 00:50:48,769Z lrauvNc4ToNetcdf.py nudge_coords():680 57: 0.360 -0.0013677 -0.0013863 1144 8.32 6.05 -30.88 2012-09-15 23:20:09.162080050 INFO 2020-05-30 00:50:48,776Z lrauvNc4ToNetcdf.py nudge_coords():680 58: 0.359 -0.0083389 -0.0036837 6537 47.28 2.98 -14.44 2012-09-16 00:07:27.760035992 INFO 2020-05-30 00:50:48,784Z lrauvNc4ToNetcdf.py nudge_coords():680 59: 0.357 -0.0011248 -0.0008320 1187 8.65 3.70 -17.83 2012-09-16 00:16:10.786079884 INFO 2020-05-30 00:50:48,791Z lrauvNc4ToNetcdf.py nudge_coords():680 60: 0.377 -0.0071514 -0.0041165 6824 49.65 2.99 -15.36 2012-09-16 01:05:51.105024099 INFO 2020-05-30 00:50:48,798Z lrauvNc4ToNetcdf.py nudge_coords():680 61: 0.373 -0.0011703 -0.0010505 1151 8.26 4.61 -23.58 2012-09-16 01:14:11.414808035 INFO 2020-05-30 00:50:48,805Z lrauvNc4ToNetcdf.py nudge_coords():680 62: 0.375 -0.0095505 -0.0044356 7033 51.60 3.13 -15.93 2012-09-16 02:05:48.116224051 INFO 2020-05-30 00:50:48,813Z lrauvNc4ToNetcdf.py nudge_coords():680 63: 0.386 -0.0013435 -0.0007648 1439 10.41 2.68 -13.61 2012-09-16 02:16:18.641763926 INFO 2020-05-30 00:50:48,820Z lrauvNc4ToNetcdf.py nudge_coords():680 64: 0.357 -0.0097746 -0.0032958 6443 47.03 2.77 -12.98 2012-09-16 03:03:22.993700027 INFO 2020-05-30 00:50:48,828Z lrauvNc4ToNetcdf.py nudge_coords():680 65: 0.386 -0.0016708 -0.0018522 1477 10.55 7.01 -32.53 2012-09-16 03:13:58.994332075 INFO 2020-05-30 00:50:48,835Z lrauvNc4ToNetcdf.py nudge_coords():680 66: 0.357 -0.0117035 -0.0029905 7194 52.23 2.54 -10.61 2012-09-16 04:06:15.638371944 INFO 2020-05-30 00:50:48,843Z lrauvNc4ToNetcdf.py nudge_coords():680 67: 0.352 -0.0032103 -0.0019710 1867 13.55 6.51 -26.95 2012-09-16 04:19:54.243004084 INFO 2020-05-30 00:50:48,851Z lrauvNc4ToNetcdf.py nudge_coords():680 68: 0.347 -0.0100888 -0.0022481 6454 46.84 2.33 -8.89 2012-09-16 05:06:46.293495893 INFO 2020-05-30 00:50:48,859Z lrauvNc4ToNetcdf.py nudge_coords():680 69: 0.196 -0.0065160 -0.0028072 4153 30.20 4.57 -17.22 2012-09-16 05:37:02.085668087 INFO 2020-05-30 00:50:48,867Z lrauvNc4ToNetcdf.py nudge_coords():680 70: 0.362 -0.0084266 -0.0017685 4745 34.39 2.64 -9.53 2012-09-16 06:11:29.678627968 INFO 2020-05-30 00:50:48,875Z lrauvNc4ToNetcdf.py nudge_coords():680 71: 0.307 -0.0077150 -0.0017463 3472 25.17 3.58 -12.86 2012-09-16 06:36:43.100532055 INFO 2020-05-30 00:50:48,883Z lrauvNc4ToNetcdf.py nudge_coords():680 72: 0.363 -0.0083125 -0.0005663 4616 33.73 0.90 -3.11 2012-09-16 07:10:29.559355974 INFO 2020-05-30 00:50:48,891Z lrauvNc4ToNetcdf.py nudge_coords():680 73: 0.336 -0.0017240 -0.0003618 975 7.01 2.76 -9.56 2012-09-16 07:17:32.926563978 INFO 2020-05-30 00:50:48,898Z lrauvNc4ToNetcdf.py nudge_coords():680 74: 0.378 -0.0081703 0.0008847 6588 47.88 -1.02 3.42 2012-09-16 08:05:28.076580048 INFO 2020-05-30 00:50:48,906Z lrauvNc4ToNetcdf.py nudge_coords():680 75: 0.365 -0.0010892 -0.0004370 907 6.52 3.70 -12.41 2012-09-16 08:12:03.414916039 INFO 2020-05-30 00:50:48,913Z lrauvNc4ToNetcdf.py nudge_coords():680 76: 0.376 -0.0072518 0.0001778 7807 56.77 -0.17 0.58 2012-09-16 09:08:50.285988092 INFO 2020-05-30 00:50:48,922Z lrauvNc4ToNetcdf.py nudge_coords():680 77: 0.360 -0.0022322 -0.0004380 1235 8.93 2.64 -9.09 2012-09-16 09:17:51.574428082 INFO 2020-05-30 00:50:48,929Z lrauvNc4ToNetcdf.py nudge_coords():680 78: 0.364 -0.0091111 -0.0039770 6500 47.88 4.35 -15.39 2012-09-16 10:05:45.847199917 INFO 2020-05-30 00:50:48,937Z lrauvNc4ToNetcdf.py nudge_coords():680 79: 0.367 -0.0017393 -0.0006913 1078 7.84 4.62 -16.34 2012-09-16 10:13:40.413496017 INFO 2020-05-30 00:50:48,945Z lrauvNc4ToNetcdf.py nudge_coords():680 80: 0.352 -0.0113425 -0.0037299 7428 54.17 3.77 -12.76 2012-09-16 11:07:53.357255936 INFO 2020-05-30 00:50:48,953Z lrauvNc4ToNetcdf.py nudge_coords():680 81: 0.360 -0.0015098 -0.0007002 1305 9.41 4.08 -13.79 2012-09-16 11:17:22.414815903 INFO 2020-05-30 00:50:48,960Z lrauvNc4ToNetcdf.py nudge_coords():680 82: 0.371 -0.0077294 -0.0024684 6469 46.96 3.09 -9.74 2012-09-16 12:04:21.619555950 INFO 2020-05-30 00:50:48,968Z lrauvNc4ToNetcdf.py nudge_coords():680 83: 0.380 -0.0016198 -0.0008432 1243 9.10 5.46 -17.17 2012-09-16 12:13:31.919260025 INFO 2020-05-30 00:50:48,976Z lrauvNc4ToNetcdf.py nudge_coords():680 84: 0.364 -0.0074560 -0.0046548 7544 54.19 5.44 -15.92 2012-09-16 13:07:44.514816046 INFO 2020-05-30 00:50:48,984Z lrauvNc4ToNetcdf.py nudge_coords():680 85: 0.440 -0.0011845 -0.0009403 988 7.16 8.33 -24.34 2012-09-16 13:14:59.598952055 INFO 2020-05-30 00:50:48,992Z lrauvNc4ToNetcdf.py nudge_coords():680 86: 0.348 -0.0089685 -0.0027407 7155 51.96 3.36 -9.77 2012-09-16 14:06:57.787264109 INFO 2020-05-30 00:50:49,000Z lrauvNc4ToNetcdf.py nudge_coords():680 87: 0.359 -0.0010775 -0.0002760 585 4.25 4.14 -12.03 2012-09-16 14:11:19.200475931 INFO 2020-05-30 00:50:49,008Z lrauvNc4ToNetcdf.py nudge_coords():680 88: 0.330 -0.0101231 -0.0016304 7845 57.24 1.71 -5.28 2012-09-16 15:08:34.488800049 INFO 2020-05-30 00:50:49,016Z lrauvNc4ToNetcdf.py nudge_coords():680 89: 0.361 -0.0014865 0.0002717 1277 9.15 -1.78 5.50 2012-09-16 15:17:49.982620001 INFO 2020-05-30 00:50:49,024Z lrauvNc4ToNetcdf.py nudge_coords():680 90: 0.349 -0.0115251 -0.0002822 6634 48.05 0.36 -1.09 2012-09-16 16:05:54.041539907 INFO 2020-05-30 00:50:49,032Z lrauvNc4ToNetcdf.py nudge_coords():680 91: 0.377 -0.0018135 0.0002005 914 6.65 -1.85 5.59 2012-09-16 16:12:36.942140102 INFO 2020-05-30 00:50:49,040Z lrauvNc4ToNetcdf.py nudge_coords():680 92: 0.362 -0.0128597 0.0002000 7832 56.35 -0.23 0.66 2012-09-16 17:09:00.202368021 INFO 2020-05-30 00:50:49,048Z lrauvNc4ToNetcdf.py nudge_coords():680 93: 0.032 0.0000000 0.0000000 574 4.25 -0.00 0.00 2012-09-16 17:13:20.026623964 INFO 2020-05-30 00:50:49,056Z lrauvNc4ToNetcdf.py nudge_coords():680 94: 0.369 -0.0078812 0.0020692 7839 56.03 -2.49 6.84 2012-09-16 18:09:22.227844 INFO 2020-05-30 00:50:49,065Z lrauvNc4ToNetcdf.py nudge_coords():680 95: 0.380 -0.0003512 0.0004535 986 7.19 -4.24 11.68 2012-09-16 18:16:39.554912090 INFO 2020-05-30 00:50:49,073Z lrauvNc4ToNetcdf.py nudge_coords():680 96: 0.370 -0.0041391 0.0013061 6879 49.92 -1.72 4.85 2012-09-16 19:06:36.241019964 INFO 2020-05-30 00:50:49,081Z lrauvNc4ToNetcdf.py nudge_coords():680 97: 0.372 -0.0007197 -0.0000322 1235 9.00 0.23 -0.66 2012-09-16 19:15:41.879300117 INFO 2020-05-30 00:50:49,089Z lrauvNc4ToNetcdf.py nudge_coords():680 98: 0.354 -0.0072045 -0.0017019 7103 51.55 2.06 -6.12 2012-09-16 20:07:15.843935966 INFO 2020-05-30 00:50:49,098Z lrauvNc4ToNetcdf.py nudge_coords():680 99: 0.369 -0.0001580 -0.0001833 389 2.86 4.00 -11.87 2012-09-16 20:10:11.728676081 INFO 2020-05-30 00:50:49,106Z lrauvNc4ToNetcdf.py nudge_coords():680 100: 0.370 -0.0090316 -0.0035413 8206 59.76 3.77 -10.98 2012-09-16 21:09:58.481211901 INFO 2020-05-30 00:50:49,115Z lrauvNc4ToNetcdf.py nudge_coords():680 101: 0.368 -0.0002317 -0.0012252 1158 8.38 9.34 -27.08 2012-09-16 21:18:26.982723951 INFO 2020-05-30 00:50:49,123Z lrauvNc4ToNetcdf.py nudge_coords():680 102: 0.368 -0.0051756 -0.0043389 6610 47.54 6.04 -16.91 2012-09-16 22:06:01.137984037 INFO 2020-05-30 00:50:49,132Z lrauvNc4ToNetcdf.py nudge_coords():680 103: 0.377 -0.0001778 -0.0012488 927 6.67 12.42 -34.67 2012-09-16 22:12:45.503096104 INFO 2020-05-30 00:50:49,140Z lrauvNc4ToNetcdf.py nudge_coords():680 104: 0.395 -0.0053824 -0.0063671 8247 58.56 7.50 -20.15 2012-09-16 23:11:19.852544069 INFO 2020-05-30 00:50:49,149Z lrauvNc4ToNetcdf.py nudge_coords():680 105: 0.335 -0.0006042 -0.0014700 1122 8.11 12.54 -33.58 2012-09-16 23:19:32.787584066 INFO 2020-05-30 00:50:49,157Z lrauvNc4ToNetcdf.py nudge_coords():680 106: 0.366 -0.0049347 -0.0047779 6263 45.34 7.04 -19.53 2012-09-17 00:04:55.204288006 INFO 2020-05-30 00:50:49,166Z lrauvNc4ToNetcdf.py nudge_coords():680 107: 0.371 -0.0010635 -0.0020683 1182 8.52 16.31 -44.98 2012-09-17 00:13:30.304032087 INFO 2020-05-30 00:50:49,174Z lrauvNc4ToNetcdf.py nudge_coords():680 108: 0.350 -0.0086570 -0.0089368 7674 55.72 10.38 -29.72 2012-09-17 01:09:15.190076113 INFO 2020-05-30 00:50:49,183Z lrauvNc4ToNetcdf.py nudge_coords():680 109: 0.353 -0.0012797 -0.0013257 717 5.21 16.51 -47.12 2012-09-17 01:14:32.855643988 INFO 2020-05-30 00:50:49,191Z lrauvNc4ToNetcdf.py nudge_coords():680 110: 0.386 -0.0102688 -0.0086143 7487 54.88 9.97 -29.09 2012-09-17 02:09:26.813796043 INFO 2020-05-30 00:50:49,200Z lrauvNc4ToNetcdf.py nudge_coords():680 111: 0.344 -0.0007972 -0.0005152 454 3.36 9.74 -28.38 2012-09-17 02:12:53.883196115 INFO 2020-05-30 00:50:49,212Z lrauvNc4ToNetcdf.py nudge_coords():710 113: - - - 5505 39.29 - - INFO 2020-05-30 00:50:49,212Z lrauvNc4ToNetcdf.py nudge_coords():714 Points in final series = 384532 DEBUG 2020-05-30 00:50:49,215Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():540 Constructing trackingdb url to 3600 seconds beyond time range of file INFO 2020-05-30 00:50:49,226Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():548 http://odss.mbari.org/trackingdb/position/tethys_ac/between/20120915T020854/20120917T034832/data.csv INFO 2020-05-30 00:50:49,271Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():571 Found 0 position values from the Tracking database INFO 2020-05-30 00:50:49,301Z lrauvNc4ToNetcdf.py processResampleNc4File():1143 ['PAR', 'oxygen', 'salinity', 'temperature', 'nitrate', 'chlorophyll', 'bbp470', 'bbp650', 'latitude', 'longitude', 'depth', 'time'] DEBUG 2020-05-30 00:50:49,305Z lrauvNc4ToNetcdf.py write_netcdf():130 Creating netCDF file /mbari/LRAUV/tethys/missionlogs/2012/20120908_20120920/20120915T030845/201209150308_201209170252_10S_sci.nc DEBUG 2020-05-30 00:50:49,383Z lrauvNc4ToNetcdf.py write_netcdf():155 Adding in record variable time DEBUG 2020-05-30 00:50:49,411Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable PAR DEBUG 2020-05-30 00:50:49,414Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable oxygen DEBUG 2020-05-30 00:50:49,415Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable salinity DEBUG 2020-05-30 00:50:49,416Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable temperature DEBUG 2020-05-30 00:50:49,418Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable nitrate DEBUG 2020-05-30 00:50:49,419Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable chlorophyll DEBUG 2020-05-30 00:50:49,421Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable bbp470 DEBUG 2020-05-30 00:50:49,422Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable bbp650 DEBUG 2020-05-30 00:50:49,438Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable latitude DEBUG 2020-05-30 00:50:49,440Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable longitude DEBUG 2020-05-30 00:50:49,442Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable depth DEBUG 2020-05-30 00:50:49,443Z lrauvNc4ToNetcdf.py write_netcdf():174 Adding in global metadata INFO 2020-05-30 00:50:49,577Z lrauvNc4ToNetcdf.py processResampleNc4File():1146 Wrote /mbari/LRAUV/tethys/missionlogs/2012/20120908_20120920/20120915T030845/201209150308_201209170252_10S_sci.nc