INFO 2020-02-11 01:42:23,347Z lrauvNc4ToNetcdf.py processResampleNc4File():979 Reading /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200206T130832/202002061308_202002061642.nc4 file... INFO 2020-02-11 01:42:23,347Z lrauvNc4ToNetcdf.py processResampleNc4File():980 After copying to /tmp/202002061308_202002061642.nc4 INFO 2020-02-11 01:42:24,390Z lrauvNc4ToNetcdf.py processResampleNc4File():982 Read file /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200206T130832/202002061308_202002061642.nc4 INFO 2020-02-11 01:42:24,411Z 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 01:42:24,419Z 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 01:42:24,426Z 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 01:42:24,815Z 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 01:42:24,822Z 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 01:42:24,829Z 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 01:42:25,223Z 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 01:42:25,234Z 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 01:42:25,246Z 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 01:42:25,640Z 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 01:42:25,648Z 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 01:42:25,655Z 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 01:42:26,038Z 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 01:42:26,046Z 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 16:42:01 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 01:42:26,052Z 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 01:42:26,438Z 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 01:42:26,445Z 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 01:42:26,452Z 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 01:42:26,840Z 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 01:42:26,848Z 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 01:42:26,855Z 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 01:42:27,241Z 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 01:42:27,248Z 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 01:42:27,255Z 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 01:42:27,640Z 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 01:42:27,647Z 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 01:42:27,654Z 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 01:42:28,039Z 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 01:42:28,047Z 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 01:42:28,054Z 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 01:42:28,440Z 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 01:42:28,447Z 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 01:42:28,454Z 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 01:42:28,838Z 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 01:42:28,846Z 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 01:42:28,853Z 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 01:42:29,247Z 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 01:42:29,255Z 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 01:42:29,262Z 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 01:42:29,649Z 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 01:42:29,657Z 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 01:42:29,664Z 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 01:42:30,048Z 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 01:42:30,056Z 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 01:42:30,063Z 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 01:42:30,449Z 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 01:42:30,456Z 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 01:42:30,463Z 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 01:42:30,833Z lrauvNc4ToNetcdf.py processResampleNc4File():987 Creating t variable of the time indexes INFO 2020-02-11 01:42:30,851Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group NAL9602 parameter time_fix renaming to fix_time INFO 2020-02-11 01:42:30,857Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group NAL9602 parameter latitude_fix renaming to fix_latitude INFO 2020-02-11 01:42:30,863Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group NAL9602 parameter longitude_fix renaming to fix_longitude WARNING 2020-02-11 01:42:30,863Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mass_concentration_of_oxygen_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200206T130832/202002061308_202002061642.nc4 INFO 2020-02-11 01:42:30,888Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group BuoyancyServo parameter platform_buoyancy_position renaming to control_inputs_buoyancy_position WARNING 2020-02-11 01:42:30,888Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_salinity' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200206T130832/202002061308_202002061642.nc4 WARNING 2020-02-11 01:42:30,888Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_temperature' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200206T130832/202002061308_202002061642.nc4 WARNING 2020-02-11 01:42:30,888Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_salinity' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200206T130832/202002061308_202002061642.nc4 WARNING 2020-02-11 01:42:30,888Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_temperature' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200206T130832/202002061308_202002061642.nc4 INFO 2020-02-11 01:42:30,955Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group ElevatorServo parameter platform_elevator_angle renaming to control_inputs_elevator_angle WARNING 2020-02-11 01:42:30,955Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mole_concentration_of_nitrate_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200206T130832/202002061308_202002061642.nc4 INFO 2020-02-11 01:42:30,974Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group MassServo parameter platform_mass_position renaming to control_inputs_mass_position INFO 2020-02-11 01:42:30,978Z lrauvNc4ToNetcdf.py createSeries():225 downwelling_photosynthetic_photon_flux_in_sea_water: 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 01:42:30,979Z 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 16:42:07 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 01:42:30,980Z 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] for variable downwelling_photosynthetic_photon_flux_in_sea_water INFO 2020-02-11 01:42:31,360Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group PAR_Licor parameter downwelling_photosynthetic_photon_flux_in_sea_water renaming to PAR INFO 2020-02-11 01:42:31,880Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group RudderServo parameter platform_rudder_angle renaming to control_inputs_rudder_angle INFO 2020-02-11 01:42:32,436Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group ThrusterServo parameter platform_propeller_rotation_rate renaming to control_inputs_propeller_rotation_rate WARNING 2020-02-11 01:42:32,436Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mass_concentration_of_chlorophyll_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200206T130832/202002061308_202002061642.nc4 WARNING 2020-02-11 01:42:32,437Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'Output470' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200206T130832/202002061308_202002061642.nc4 WARNING 2020-02-11 01:42:32,437Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'Output650' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200206T130832/202002061308_202002061642.nc4 INFO 2020-02-11 01:42:32,440Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable concentration_of_chromophoric_dissolved_organic_matter_in_sea_water empty so skipping INFO 2020-02-11 01:42:32,442Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable mass_concentration_of_chlorophyll_in_sea_water empty so skipping INFO 2020-02-11 01:42:32,445Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable BackscatteringCoeff700nm empty so skipping INFO 2020-02-11 01:42:32,448Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable VolumeScatCoeff117deg700nm empty so skipping INFO 2020-02-11 01:42:32,450Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable mass_concentration_of_petroleum_hydrocarbons_in_sea_water empty so skipping INFO 2020-02-11 01:42:32,457Z 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 01:42:32,460Z 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 01:42:32,461Z 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 01:42:32,462Z 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 01:42:32,842Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter longitude renaming to pose_longitude_DeadReckonUsingMultipleVelocitySources INFO 2020-02-11 01:42:32,846Z 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 01:42:32,846Z 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 01:42:32,848Z 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 01:42:33,232Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter latitude renaming to pose_latitude_DeadReckonUsingMultipleVelocitySources INFO 2020-02-11 01:42:33,236Z 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 01:42:33,237Z 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 01:42:33,238Z 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 01:42:33,620Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter depth renaming to pose_depth_DeadReckonUsingMultipleVelocitySources WARNING 2020-02-11 01:42:33,620Z 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 01:42:33,620Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'longitude' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200206T130832/202002061308_202002061642.nc4 WARNING 2020-02-11 01:42:33,620Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'latitude' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200206T130832/202002061308_202002061642.nc4 WARNING 2020-02-11 01:42:33,621Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'depth' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200206T130832/202002061308_202002061642.nc4 INFO 2020-02-11 01:42:33,632Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group BPC1 parameter platform_battery_charge renaming to health_platform_battery_charge INFO 2020-02-11 01:42:33,641Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group BPC1 parameter platform_battery_voltage renaming to health_platform_average_voltage INFO 2020-02-11 01:42:33,652Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group Onboard parameter platform_average_current renaming to health_platform_average_current INFO 2020-02-11 01:42:33,671Z 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 01:42:33,752Z 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 01:42:33,831Z 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 01:42:34,189Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for pitch DEBUG 2020-02-11 01:42:34,196Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for pitch INFO 2020-02-11 01:42:34,197Z lrauvNc4ToNetcdf.py createNav():489 platform_pitch_angle -> pitch: {'units': 'rad', 'standard_name': 'platform_pitch_angle', 'coordinates': 'time depth latitude longitude'} INFO 2020-02-11 01:42:34,217Z 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 01:42:34,298Z 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 01:42:34,379Z 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 01:42:34,739Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for roll DEBUG 2020-02-11 01:42:34,746Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for roll INFO 2020-02-11 01:42:34,747Z lrauvNc4ToNetcdf.py createNav():489 platform_roll_angle -> roll: {'units': 'rad', 'standard_name': 'platform_roll_angle', 'coordinates': 'time depth latitude longitude'} INFO 2020-02-11 01:42:34,767Z 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 01:42:34,848Z 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 01:42:34,929Z 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 01:42:35,286Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for yaw DEBUG 2020-02-11 01:42:35,293Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for yaw INFO 2020-02-11 01:42:35,294Z lrauvNc4ToNetcdf.py createNav():489 platform_orientation -> yaw: {'units': 'rad', 'standard_name': 'platform_yaw_angle', 'coordinates': 'time depth latitude longitude'} INFO 2020-02-11 01:42:35,294Z lrauvNc4ToNetcdf.py nudge_coords():609 /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200206T130832/202002061308_202002061642.nc4 DEBUG 2020-02-11 01:42:35,693Z lrauvNc4ToNetcdf.py var_series():597 longitude: rad_to_deg = True DEBUG 2020-02-11 01:42:36,096Z lrauvNc4ToNetcdf.py var_series():597 latitude: rad_to_deg = True DEBUG 2020-02-11 01:42:36,133Z lrauvNc4ToNetcdf.py var_series():597 longitude_fix: rad_to_deg = False DEBUG 2020-02-11 01:42:36,165Z lrauvNc4ToNetcdf.py var_series():597 latitude_fix: rad_to_deg = False INFO 2020-02-11 01:42:36,165Z 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 01:42:36,168Z lrauvNc4ToNetcdf.py nudge_coords():643 - - - 31232 210.53 - - - INFO 2020-02-11 01:42:36,170Z lrauvNc4ToNetcdf.py nudge_coords():695 1: - - - 464 3.12 - - INFO 2020-02-11 01:42:36,170Z lrauvNc4ToNetcdf.py nudge_coords():699 Points in final series = 31696 DEBUG 2020-02-11 01:42:36,171Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():525 Constructing trackingdb url to 3600 seconds beyond time range of file INFO 2020-02-11 01:42:36,187Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():533 http://odss.mbari.org/trackingdb/position/whoidhs_ac/between/20200206T120832/20200206T174211/data.csv INFO 2020-02-11 01:42:36,204Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():556 Found 0 position values from the Tracking database INFO 2020-02-11 01:42:36,209Z lrauvNc4ToNetcdf.py processResampleNc4File():1120 ['fix_time', 'fix_latitude', 'fix_longitude', 'control_inputs_buoyancy_position', 'control_inputs_elevator_angle', 'control_inputs_mass_position', 'PAR', '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 01:42:36,211Z lrauvNc4ToNetcdf.py write_netcdf():120 Creating netCDF file /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200206T130832/202002061308_202002061642_2S_scieng.nc DEBUG 2020-02-11 01:42:36,216Z lrauvNc4ToNetcdf.py write_netcdf():144 Adding in record variable fix_time DEBUG 2020-02-11 01:42:36,336Z lrauvNc4ToNetcdf.py write_netcdf():144 Adding in record variable time DEBUG 2020-02-11 01:42:36,352Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable fix_latitude DEBUG 2020-02-11 01:42:36,367Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable fix_longitude DEBUG 2020-02-11 01:42:36,382Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_buoyancy_position DEBUG 2020-02-11 01:42:36,396Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_elevator_angle DEBUG 2020-02-11 01:42:36,410Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_mass_position DEBUG 2020-02-11 01:42:36,425Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable PAR DEBUG 2020-02-11 01:42:36,439Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_rudder_angle DEBUG 2020-02-11 01:42:36,464Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_propeller_rotation_rate DEBUG 2020-02-11 01:42:36,478Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable fix_residual_percent_distance_traveled_DeadReckonUsingMultipleVelocitySources DEBUG 2020-02-11 01:42:36,493Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_longitude_DeadReckonUsingMultipleVelocitySources DEBUG 2020-02-11 01:42:36,515Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_latitude_DeadReckonUsingMultipleVelocitySources DEBUG 2020-02-11 01:42:36,530Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_depth_DeadReckonUsingMultipleVelocitySources DEBUG 2020-02-11 01:42:36,544Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable health_platform_battery_charge DEBUG 2020-02-11 01:42:36,558Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable health_platform_average_voltage DEBUG 2020-02-11 01:42:36,572Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable health_platform_average_current DEBUG 2020-02-11 01:42:36,586Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pitch DEBUG 2020-02-11 01:42:36,601Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable roll DEBUG 2020-02-11 01:42:36,615Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable yaw DEBUG 2020-02-11 01:42:36,629Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable latitude DEBUG 2020-02-11 01:42:36,644Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable longitude DEBUG 2020-02-11 01:42:36,659Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable depth DEBUG 2020-02-11 01:42:36,673Z lrauvNc4ToNetcdf.py write_netcdf():163 Adding in global metadata INFO 2020-02-11 01:42:36,934Z lrauvNc4ToNetcdf.py processResampleNc4File():1123 Wrote /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200206T130832/202002061308_202002061642_2S_scieng.nc