INFO 2020-02-11 01:49:24,371Z lrauvNc4ToNetcdf.py processResampleNc4File():979 Reading /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200206T130832/202002061308_202002061642.nc4 file... INFO 2020-02-11 01:49:24,372Z lrauvNc4ToNetcdf.py processResampleNc4File():980 After copying to /tmp/202002061308_202002061642.nc4 INFO 2020-02-11 01:49:25,326Z lrauvNc4ToNetcdf.py processResampleNc4File():982 Read file /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200206T130832/202002061308_202002061642.nc4 INFO 2020-02-11 01:49:25,346Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2020-02-06 13:08:00 and after 2020-02-06 16:42:00: [31667 31668 31669 31670 31671 31672 31673 31674 31675 31676 31677 31678 31679 31680 31681 31682 31683 31684 31685 31686 31687 31688 31689 31690 31691 31692 31693 31694 31695] INFO 2020-02-11 01:49:25,354Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:11 2020', 'Thu Feb 6 16:42:11 2020'] INFO 2020-02-11 01:49:25,361Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09] for variable latitude INFO 2020-02-11 01:49:25,740Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2020-02-06 13:08:00 and after 2020-02-06 16:42:00: [31667 31668 31669 31670 31671 31672 31673 31674 31675 31676 31677 31678 31679 31680 31681 31682 31683 31684 31685 31686 31687 31688 31689 31690 31691 31692 31693 31694 31695] INFO 2020-02-11 01:49:25,747Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:11 2020', 'Thu Feb 6 16:42:11 2020'] INFO 2020-02-11 01:49:25,754Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09] for variable longitude INFO 2020-02-11 01:49:26,136Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2020-02-06 13:08:00 and after 2020-02-06 16:42:00: [31667 31668 31669 31670 31671 31672 31673 31674 31675 31676 31677 31678 31679 31680 31681 31682 31683 31684 31685 31686 31687 31688 31689 31690 31691 31692 31693 31694 31695 31696] INFO 2020-02-11 01:49:26,144Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:11 2020', 'Thu Feb 6 16:42:11 2020'] INFO 2020-02-11 01:49:26,151Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09] for variable depth INFO 2020-02-11 01:49:26,529Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2020-02-06 13:08:00 and after 2020-02-06 16:42:00: [31667 31668 31669 31670 31671 31672 31673 31674 31675 31676 31677 31678 31679 31680 31681 31682 31683 31684 31685 31686 31687 31688 31689 31690 31691 31692 31693 31694 31695 31696] INFO 2020-02-11 01:49:26,537Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:11 2020', 'Thu Feb 6 16:42:11 2020'] INFO 2020-02-11 01:49:26,543Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09] for variable time INFO 2020-02-11 01:49:26,921Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2020-02-06 13:08:00 and after 2020-02-06 16:42:00: [31667 31668 31669 31670 31671 31672 31673 31674 31675 31676 31677 31678 31679 31680 31681 31682 31683 31684 31685 31686 31687 31688 31689 31690 31691 31692 31693 31694 31695] INFO 2020-02-11 01:49:26,929Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:11 2020', 'Thu Feb 6 16:42:11 2020'] INFO 2020-02-11 01:49:26,936Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09] for variable latitude INFO 2020-02-11 01:49:27,312Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2020-02-06 13:08:00 and after 2020-02-06 16:42:00: [31667 31668 31669 31670 31671 31672 31673 31674 31675 31676 31677 31678 31679 31680 31681 31682 31683 31684 31685 31686 31687 31688 31689 31690 31691 31692 31693 31694 31695] INFO 2020-02-11 01:49:27,319Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:11 2020', 'Thu Feb 6 16:42:11 2020'] INFO 2020-02-11 01:49:27,326Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09] for variable longitude INFO 2020-02-11 01:49:27,706Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2020-02-06 13:08:00 and after 2020-02-06 16:42:00: [31667 31668 31669 31670 31671 31672 31673 31674 31675 31676 31677 31678 31679 31680 31681 31682 31683 31684 31685 31686 31687 31688 31689 31690 31691 31692 31693 31694 31695 31696] INFO 2020-02-11 01:49:27,713Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:11 2020', 'Thu Feb 6 16:42:11 2020'] INFO 2020-02-11 01:49:27,721Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09] for variable depth INFO 2020-02-11 01:49:28,097Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2020-02-06 13:08:00 and after 2020-02-06 16:42:00: [31667 31668 31669 31670 31671 31672 31673 31674 31675 31676 31677 31678 31679 31680 31681 31682 31683 31684 31685 31686 31687 31688 31689 31690 31691 31692 31693 31694 31695 31696] INFO 2020-02-11 01:49:28,104Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:11 2020', 'Thu Feb 6 16:42:11 2020'] INFO 2020-02-11 01:49:28,111Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09] for variable time INFO 2020-02-11 01:49:28,495Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2020-02-06 13:08:00 and after 2020-02-06 16:42:00: [31667 31668 31669 31670 31671 31672 31673 31674 31675 31676 31677 31678 31679 31680 31681 31682 31683 31684 31685 31686 31687 31688 31689 31690 31691 31692 31693 31694 31695] INFO 2020-02-11 01:49:28,502Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:11 2020', 'Thu Feb 6 16:42:11 2020'] INFO 2020-02-11 01:49:28,509Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09] for variable latitude INFO 2020-02-11 01:49:28,885Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2020-02-06 13:08:00 and after 2020-02-06 16:42:00: [31667 31668 31669 31670 31671 31672 31673 31674 31675 31676 31677 31678 31679 31680 31681 31682 31683 31684 31685 31686 31687 31688 31689 31690 31691 31692 31693 31694 31695] INFO 2020-02-11 01:49:28,892Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:11 2020', 'Thu Feb 6 16:42:11 2020'] INFO 2020-02-11 01:49:28,898Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09] for variable longitude INFO 2020-02-11 01:49:29,278Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2020-02-06 13:08:00 and after 2020-02-06 16:42:00: [31667 31668 31669 31670 31671 31672 31673 31674 31675 31676 31677 31678 31679 31680 31681 31682 31683 31684 31685 31686 31687 31688 31689 31690 31691 31692 31693 31694 31695 31696] INFO 2020-02-11 01:49:29,285Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:11 2020', 'Thu Feb 6 16:42:11 2020'] INFO 2020-02-11 01:49:29,292Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09] for variable depth INFO 2020-02-11 01:49:29,667Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2020-02-06 13:08:00 and after 2020-02-06 16:42:00: [31667 31668 31669 31670 31671 31672 31673 31674 31675 31676 31677 31678 31679 31680 31681 31682 31683 31684 31685 31686 31687 31688 31689 31690 31691 31692 31693 31694 31695 31696] INFO 2020-02-11 01:49:29,674Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:11 2020', 'Thu Feb 6 16:42:11 2020'] INFO 2020-02-11 01:49:29,681Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09] for variable time INFO 2020-02-11 01:49:30,061Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2020-02-06 13:08:00 and after 2020-02-06 16:42:00: [31667 31668 31669 31670 31671 31672 31673 31674 31675 31676 31677 31678 31679 31680 31681 31682 31683 31684 31685 31686 31687 31688 31689 31690 31691 31692 31693 31694 31695] INFO 2020-02-11 01:49:30,068Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:11 2020', 'Thu Feb 6 16:42:11 2020'] INFO 2020-02-11 01:49:30,075Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09] for variable latitude INFO 2020-02-11 01:49:30,450Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2020-02-06 13:08:00 and after 2020-02-06 16:42:00: [31667 31668 31669 31670 31671 31672 31673 31674 31675 31676 31677 31678 31679 31680 31681 31682 31683 31684 31685 31686 31687 31688 31689 31690 31691 31692 31693 31694 31695] INFO 2020-02-11 01:49:30,457Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:11 2020', 'Thu Feb 6 16:42:11 2020'] INFO 2020-02-11 01:49:30,464Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09] for variable longitude INFO 2020-02-11 01:49:30,844Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2020-02-06 13:08:00 and after 2020-02-06 16:42:00: [31667 31668 31669 31670 31671 31672 31673 31674 31675 31676 31677 31678 31679 31680 31681 31682 31683 31684 31685 31686 31687 31688 31689 31690 31691 31692 31693 31694 31695 31696] INFO 2020-02-11 01:49:30,851Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:11 2020', 'Thu Feb 6 16:42:11 2020'] INFO 2020-02-11 01:49:30,858Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09] for variable depth INFO 2020-02-11 01:49:31,233Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2020-02-06 13:08:00 and after 2020-02-06 16:42:00: [31667 31668 31669 31670 31671 31672 31673 31674 31675 31676 31677 31678 31679 31680 31681 31682 31683 31684 31685 31686 31687 31688 31689 31690 31691 31692 31693 31694 31695 31696] INFO 2020-02-11 01:49:31,240Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:11 2020', 'Thu Feb 6 16:42:11 2020'] INFO 2020-02-11 01:49:31,247Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09] for variable time INFO 2020-02-11 01:49:31,606Z lrauvNc4ToNetcdf.py processResampleNc4File():987 Creating t variable of the time indexes INFO 2020-02-11 01:49:31,623Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group NAL9602 parameter time_fix renaming to fix_time INFO 2020-02-11 01:49:31,629Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group NAL9602 parameter latitude_fix renaming to fix_latitude INFO 2020-02-11 01:49:31,635Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group NAL9602 parameter longitude_fix renaming to fix_longitude INFO 2020-02-11 01:49:31,659Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group BuoyancyServo parameter platform_buoyancy_position renaming to control_inputs_buoyancy_position INFO 2020-02-11 01:49:31,723Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group ElevatorServo parameter platform_elevator_angle renaming to control_inputs_elevator_angle INFO 2020-02-11 01:49:31,741Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group MassServo parameter platform_mass_position renaming to control_inputs_mass_position INFO 2020-02-11 01:49:32,242Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group RudderServo parameter platform_rudder_angle renaming to control_inputs_rudder_angle INFO 2020-02-11 01:49:32,776Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group ThrusterServo parameter platform_propeller_rotation_rate renaming to control_inputs_propeller_rotation_rate INFO 2020-02-11 01:49:32,783Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter fix_residual_percent_distance_traveled renaming to fix_residual_percent_distance_traveled_DeadReckonUsingMultipleVelocitySources INFO 2020-02-11 01:49:32,786Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2020-02-06 13:08:00 and after 2020-02-06 16:42:00: [31667 31668 31669 31670 31671 31672 31673 31674 31675 31676 31677 31678 31679 31680 31681 31682 31683 31684 31685 31686 31687 31688 31689 31690 31691 31692 31693 31694 31695] INFO 2020-02-11 01:49:32,787Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:11 2020', 'Thu Feb 6 16:42:11 2020'] INFO 2020-02-11 01:49:32,788Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09] for variable longitude INFO 2020-02-11 01:49:33,160Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter longitude renaming to pose_longitude_DeadReckonUsingMultipleVelocitySources INFO 2020-02-11 01:49:33,163Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2020-02-06 13:08:00 and after 2020-02-06 16:42:00: [31667 31668 31669 31670 31671 31672 31673 31674 31675 31676 31677 31678 31679 31680 31681 31682 31683 31684 31685 31686 31687 31688 31689 31690 31691 31692 31693 31694 31695] INFO 2020-02-11 01:49:33,164Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:11 2020', 'Thu Feb 6 16:42:11 2020'] INFO 2020-02-11 01:49:33,165Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09] for variable latitude INFO 2020-02-11 01:49:33,536Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter latitude renaming to pose_latitude_DeadReckonUsingMultipleVelocitySources INFO 2020-02-11 01:49:33,539Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2020-02-06 13:08:00 and after 2020-02-06 16:42:00: [31667 31668 31669 31670 31671 31672 31673 31674 31675 31676 31677 31678 31679 31680 31681 31682 31683 31684 31685 31686 31687 31688 31689 31690 31691 31692 31693 31694 31695] INFO 2020-02-11 01:49:33,540Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:11 2020', 'Thu Feb 6 16:42:11 2020'] INFO 2020-02-11 01:49:33,541Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09] for variable depth INFO 2020-02-11 01:49:33,917Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter depth renaming to pose_depth_DeadReckonUsingMultipleVelocitySources WARNING 2020-02-11 01:49:33,917Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'fix_residual_percent_distance_traveled' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200206T130832/202002061308_202002061642.nc4 WARNING 2020-02-11 01:49:33,917Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'longitude' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200206T130832/202002061308_202002061642.nc4 WARNING 2020-02-11 01:49:33,917Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'latitude' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200206T130832/202002061308_202002061642.nc4 WARNING 2020-02-11 01:49:33,918Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'depth' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200206T130832/202002061308_202002061642.nc4 INFO 2020-02-11 01:49:33,928Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group BPC1 parameter platform_battery_charge renaming to health_platform_battery_charge INFO 2020-02-11 01:49:33,938Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group BPC1 parameter platform_battery_voltage renaming to health_platform_average_voltage INFO 2020-02-11 01:49:33,948Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group Onboard parameter platform_average_current renaming to health_platform_average_current INFO 2020-02-11 01:49:33,967Z lrauvNc4ToNetcdf.py createSeries():225 platform_pitch_angle: v_t values found before 2020-02-06 13:08:00 and after 2020-02-06 16:42:00: [30491 30493 30494 30495 30496 30497 30498 30499 30500 30501 30502 30503 30504 30505 30506 30507 30508 30509 30510 30511 30512 30513 30514 30515 30516 30517 30518 30519] INFO 2020-02-11 01:49:34,046Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:11 2020', 'Thu Feb 6 16:42:10 2020'] INFO 2020-02-11 01:49:34,125Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09] for variable platform_pitch_angle DEBUG 2020-02-11 01:49:34,481Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for pitch DEBUG 2020-02-11 01:49:34,489Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for pitch INFO 2020-02-11 01:49:34,490Z lrauvNc4ToNetcdf.py createNav():489 platform_pitch_angle -> pitch: {'units': 'rad', 'standard_name': 'platform_pitch_angle', 'coordinates': 'time depth latitude longitude'} INFO 2020-02-11 01:49:34,508Z lrauvNc4ToNetcdf.py createSeries():225 platform_roll_angle: v_t values found before 2020-02-06 13:08:00 and after 2020-02-06 16:42:00: [30491 30493 30494 30495 30496 30497 30498 30499 30500 30501 30502 30503 30504 30505 30506 30507 30508 30509 30510 30511 30512 30513 30514 30515 30516 30517 30518 30519] INFO 2020-02-11 01:49:34,588Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:11 2020', 'Thu Feb 6 16:42:10 2020'] INFO 2020-02-11 01:49:34,667Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09] for variable platform_roll_angle DEBUG 2020-02-11 01:49:35,020Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for roll DEBUG 2020-02-11 01:49:35,027Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for roll INFO 2020-02-11 01:49:35,028Z lrauvNc4ToNetcdf.py createNav():489 platform_roll_angle -> roll: {'units': 'rad', 'standard_name': 'platform_roll_angle', 'coordinates': 'time depth latitude longitude'} INFO 2020-02-11 01:49:35,049Z lrauvNc4ToNetcdf.py createSeries():225 platform_orientation: v_t values found before 2020-02-06 13:08:00 and after 2020-02-06 16:42:00: [30491 30493 30494 30495 30496 30497 30498 30499 30500 30501 30502 30503 30504 30505 30506 30507 30508 30509 30510 30511 30512 30513 30514 30515 30516 30517 30518 30519] INFO 2020-02-11 01:49:35,129Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:00 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:01 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:02 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:03 2020', 'Thu Feb 6 16:42:04 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:05 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:06 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:07 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:08 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:09 2020', 'Thu Feb 6 16:42:10 2020', 'Thu Feb 6 16:42:11 2020', 'Thu Feb 6 16:42:10 2020'] INFO 2020-02-11 01:49:35,220Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100732e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09 1.58100733e+09] for variable platform_orientation DEBUG 2020-02-11 01:49:35,574Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for yaw DEBUG 2020-02-11 01:49:35,581Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for yaw INFO 2020-02-11 01:49:35,582Z lrauvNc4ToNetcdf.py createNav():489 platform_orientation -> yaw: {'units': 'rad', 'standard_name': 'platform_yaw_angle', 'coordinates': 'time depth latitude longitude'} INFO 2020-02-11 01:49:35,583Z lrauvNc4ToNetcdf.py nudge_coords():609 /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200206T130832/202002061308_202002061642.nc4 DEBUG 2020-02-11 01:49:35,975Z lrauvNc4ToNetcdf.py var_series():597 longitude: rad_to_deg = True DEBUG 2020-02-11 01:49:36,362Z lrauvNc4ToNetcdf.py var_series():597 latitude: rad_to_deg = True DEBUG 2020-02-11 01:49:36,397Z lrauvNc4ToNetcdf.py var_series():597 longitude_fix: rad_to_deg = False DEBUG 2020-02-11 01:49:36,428Z lrauvNc4ToNetcdf.py var_series():597 latitude_fix: rad_to_deg = False INFO 2020-02-11 01:49:36,428Z lrauvNc4ToNetcdf.py nudge_coords():627 seg# end_sec_diff end_lon_diff end_lat_diff len(segi) seg_min u_drift (cm/s) v_drift (cm/s) start datetime of segment INFO 2020-02-11 01:49:36,432Z lrauvNc4ToNetcdf.py nudge_coords():643 - - - 31232 210.53 - - - INFO 2020-02-11 01:49:36,433Z lrauvNc4ToNetcdf.py nudge_coords():695 1: - - - 464 3.12 - - INFO 2020-02-11 01:49:36,434Z lrauvNc4ToNetcdf.py nudge_coords():699 Points in final series = 31696 DEBUG 2020-02-11 01:49:36,434Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():525 Constructing trackingdb url to 3600 seconds beyond time range of file INFO 2020-02-11 01:49:36,449Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():533 http://odss.mbari.org/trackingdb/position/whoidhs_ac/between/20200206T120832/20200206T174211/data.csv INFO 2020-02-11 01:49:36,498Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():556 Found 0 position values from the Tracking database INFO 2020-02-11 01:49:36,503Z lrauvNc4ToNetcdf.py processResampleNc4File():1120 ['fix_time', 'fix_latitude', 'fix_longitude', 'control_inputs_buoyancy_position', 'control_inputs_elevator_angle', 'control_inputs_mass_position', 'control_inputs_rudder_angle', 'control_inputs_propeller_rotation_rate', 'fix_residual_percent_distance_traveled_DeadReckonUsingMultipleVelocitySources', 'pose_longitude_DeadReckonUsingMultipleVelocitySources', 'pose_latitude_DeadReckonUsingMultipleVelocitySources', 'pose_depth_DeadReckonUsingMultipleVelocitySources', 'health_platform_battery_charge', 'health_platform_average_voltage', 'health_platform_average_current', 'pitch', 'roll', 'yaw', 'latitude', 'longitude', 'depth', 'time'] DEBUG 2020-02-11 01:49:36,505Z lrauvNc4ToNetcdf.py write_netcdf():120 Creating netCDF file /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200206T130832/202002061308_202002061642_2S_eng.nc DEBUG 2020-02-11 01:49:36,510Z lrauvNc4ToNetcdf.py write_netcdf():144 Adding in record variable fix_time DEBUG 2020-02-11 01:49:36,583Z lrauvNc4ToNetcdf.py write_netcdf():144 Adding in record variable time DEBUG 2020-02-11 01:49:36,597Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable fix_latitude DEBUG 2020-02-11 01:49:36,610Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable fix_longitude DEBUG 2020-02-11 01:49:36,623Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_buoyancy_position DEBUG 2020-02-11 01:49:36,636Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_elevator_angle DEBUG 2020-02-11 01:49:36,648Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_mass_position DEBUG 2020-02-11 01:49:36,661Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_rudder_angle DEBUG 2020-02-11 01:49:36,674Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_propeller_rotation_rate DEBUG 2020-02-11 01:49:36,698Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable fix_residual_percent_distance_traveled_DeadReckonUsingMultipleVelocitySources DEBUG 2020-02-11 01:49:36,711Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_longitude_DeadReckonUsingMultipleVelocitySources DEBUG 2020-02-11 01:49:36,732Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_latitude_DeadReckonUsingMultipleVelocitySources DEBUG 2020-02-11 01:49:36,745Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_depth_DeadReckonUsingMultipleVelocitySources DEBUG 2020-02-11 01:49:36,758Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable health_platform_battery_charge DEBUG 2020-02-11 01:49:36,772Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable health_platform_average_voltage DEBUG 2020-02-11 01:49:36,784Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable health_platform_average_current DEBUG 2020-02-11 01:49:36,797Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pitch DEBUG 2020-02-11 01:49:36,810Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable roll DEBUG 2020-02-11 01:49:36,822Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable yaw DEBUG 2020-02-11 01:49:36,835Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable latitude DEBUG 2020-02-11 01:49:36,848Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable longitude DEBUG 2020-02-11 01:49:36,861Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable depth DEBUG 2020-02-11 01:49:36,874Z lrauvNc4ToNetcdf.py write_netcdf():163 Adding in global metadata INFO 2020-02-11 01:49:37,111Z lrauvNc4ToNetcdf.py processResampleNc4File():1123 Wrote /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200206T130832/202002061308_202002061642_2S_eng.nc