INFO 2020-05-30 15:59:05,343Z lrauvNc4ToNetcdf.py processResampleNc4File():994 Reading /mbari/LRAUV/tethys/missionlogs/2013/20130919_20130919/20130919T170929/201309191709_201309191753.nc4 file... INFO 2020-05-30 15:59:05,344Z lrauvNc4ToNetcdf.py processResampleNc4File():995 After copying to /tmp/201309191709_201309191753.nc4 INFO 2020-05-30 15:59:05,961Z lrauvNc4ToNetcdf.py processResampleNc4File():997 Read file /mbari/LRAUV/tethys/missionlogs/2013/20130919_20130919/20130919T170929/201309191709_201309191753.nc4 INFO 2020-05-30 15:59:05,973Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [5575 5576 5577 5578 5579 5580 5581 5582 5583 5584 5585 5586 5587 5588 5589 5590 5591 5592 5593 5594 5595] INFO 2020-05-30 15:59:05,977Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013'] INFO 2020-05-30 15:59:05,981Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09] for variable latitude INFO 2020-05-30 15:59:06,060Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [5575 5576 5577 5578 5579 5580 5581 5582 5583 5584 5585 5586 5587 5588 5589 5590 5591 5592 5593 5594 5595] INFO 2020-05-30 15:59:06,064Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013'] INFO 2020-05-30 15:59:06,068Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09] for variable longitude INFO 2020-05-30 15:59:06,145Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [5930 5931 5932 5933 5934 5935 5936 5937 5938 5939 5940 5941 5942 5943 5944 5945 5946 5947 5948 5949 5950] INFO 2020-05-30 15:59:06,149Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013'] INFO 2020-05-30 15:59:06,153Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09] for variable depth INFO 2020-05-30 15:59:06,234Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [5928 5929 5930 5931 5932 5933 5934 5935 5936 5937 5938 5939 5940 5941 5942 5943 5944 5945 5946 5947 5948] INFO 2020-05-30 15:59:06,238Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013'] INFO 2020-05-30 15:59:06,241Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09] for variable time INFO 2020-05-30 15:59:06,327Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [5575 5576 5577 5578 5579 5580 5581 5582 5583 5584 5585 5586 5587 5588 5589 5590 5591 5592 5593 5594 5595] INFO 2020-05-30 15:59:06,331Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013'] INFO 2020-05-30 15:59:06,335Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09] for variable latitude INFO 2020-05-30 15:59:06,414Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [5575 5576 5577 5578 5579 5580 5581 5582 5583 5584 5585 5586 5587 5588 5589 5590 5591 5592 5593 5594 5595] INFO 2020-05-30 15:59:06,418Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013'] INFO 2020-05-30 15:59:06,422Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09] for variable longitude INFO 2020-05-30 15:59:06,501Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [5930 5931 5932 5933 5934 5935 5936 5937 5938 5939 5940 5941 5942 5943 5944 5945 5946 5947 5948 5949 5950] INFO 2020-05-30 15:59:06,505Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013'] INFO 2020-05-30 15:59:06,509Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09] for variable depth INFO 2020-05-30 15:59:06,589Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [5928 5929 5930 5931 5932 5933 5934 5935 5936 5937 5938 5939 5940 5941 5942 5943 5944 5945 5946 5947 5948] INFO 2020-05-30 15:59:06,593Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013'] INFO 2020-05-30 15:59:06,597Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09] for variable time INFO 2020-05-30 15:59:06,679Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [5575 5576 5577 5578 5579 5580 5581 5582 5583 5584 5585 5586 5587 5588 5589 5590 5591 5592 5593 5594 5595] INFO 2020-05-30 15:59:06,682Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013'] INFO 2020-05-30 15:59:06,687Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09] for variable latitude INFO 2020-05-30 15:59:06,764Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [5575 5576 5577 5578 5579 5580 5581 5582 5583 5584 5585 5586 5587 5588 5589 5590 5591 5592 5593 5594 5595] INFO 2020-05-30 15:59:06,768Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013'] INFO 2020-05-30 15:59:06,772Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09] for variable longitude INFO 2020-05-30 15:59:06,849Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [5930 5931 5932 5933 5934 5935 5936 5937 5938 5939 5940 5941 5942 5943 5944 5945 5946 5947 5948 5949 5950] INFO 2020-05-30 15:59:06,852Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013'] INFO 2020-05-30 15:59:06,856Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09] for variable depth INFO 2020-05-30 15:59:06,941Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [5928 5929 5930 5931 5932 5933 5934 5935 5936 5937 5938 5939 5940 5941 5942 5943 5944 5945 5946 5947 5948] INFO 2020-05-30 15:59:06,945Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013'] INFO 2020-05-30 15:59:06,952Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09] for variable time INFO 2020-05-30 15:59:07,043Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [5575 5576 5577 5578 5579 5580 5581 5582 5583 5584 5585 5586 5587 5588 5589 5590 5591 5592 5593 5594 5595] INFO 2020-05-30 15:59:07,047Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013'] INFO 2020-05-30 15:59:07,051Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09] for variable latitude INFO 2020-05-30 15:59:07,129Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [5575 5576 5577 5578 5579 5580 5581 5582 5583 5584 5585 5586 5587 5588 5589 5590 5591 5592 5593 5594 5595] INFO 2020-05-30 15:59:07,133Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013'] INFO 2020-05-30 15:59:07,137Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09] for variable longitude INFO 2020-05-30 15:59:07,214Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [5930 5931 5932 5933 5934 5935 5936 5937 5938 5939 5940 5941 5942 5943 5944 5945 5946 5947 5948 5949 5950] INFO 2020-05-30 15:59:07,218Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013'] INFO 2020-05-30 15:59:07,222Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09] for variable depth INFO 2020-05-30 15:59:07,303Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [5928 5929 5930 5931 5932 5933 5934 5935 5936 5937 5938 5939 5940 5941 5942 5943 5944 5945 5946 5947 5948] INFO 2020-05-30 15:59:07,307Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013'] INFO 2020-05-30 15:59:07,311Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09] for variable time INFO 2020-05-30 15:59:07,390Z lrauvNc4ToNetcdf.py processResampleNc4File():1010 Creating t variable of the time indexes INFO 2020-05-30 15:59:07,398Z lrauvNc4ToNetcdf.py processResampleNc4File():1048 Variable time_fix empty so skipping INFO 2020-05-30 15:59:07,404Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group NAL9602 parameter latitude_fix renaming to fix_latitude INFO 2020-05-30 15:59:07,407Z lrauvNc4ToNetcdf.py processResampleNc4File():1048 Variable longitude_fix empty so skipping INFO 2020-05-30 15:59:07,409Z lrauvNc4ToNetcdf.py createSeries():240 downwelling_photosynthetic_photon_flux_in_sea_water: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [5928 5929 5930 5931 5932 5933 5934 5935 5936 5937 5938 5939 5940 5941 5942 5943 5944 5945 5946 5947 5948] INFO 2020-05-30 15:59:07,410Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013'] INFO 2020-05-30 15:59:07,411Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09] for variable downwelling_photosynthetic_photon_flux_in_sea_water INFO 2020-05-30 15:59:07,486Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group PAR_Licor parameter downwelling_photosynthetic_photon_flux_in_sea_water renaming to PAR INFO 2020-05-30 15:59:07,488Z lrauvNc4ToNetcdf.py createSeries():240 platform_elevator_angle: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [140 141 142 143 144 145 146] INFO 2020-05-30 15:59:07,488Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013'] INFO 2020-05-30 15:59:07,489Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09] for variable platform_elevator_angle INFO 2020-05-30 15:59:07,496Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group ElevatorServo parameter platform_elevator_angle renaming to control_inputs_elevator_angle INFO 2020-05-30 15:59:07,498Z lrauvNc4ToNetcdf.py createSeries():240 platform_rudder_angle: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [5920 5921 5922 5923 5924 5925 5926 5927 5928 5929 5930 5931 5932 5933 5934 5935 5936 5937 5938 5939 5940] INFO 2020-05-30 15:59:07,499Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:09 2013'] INFO 2020-05-30 15:59:07,500Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09] for variable platform_rudder_angle INFO 2020-05-30 15:59:07,575Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group RudderServo parameter platform_rudder_angle renaming to control_inputs_rudder_angle INFO 2020-05-30 15:59:07,576Z lrauvNc4ToNetcdf.py createSeries():240 platform_propeller_rotation_rate: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [3064 3065 3066 3067 3068 3069 3070] INFO 2020-05-30 15:59:07,577Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:09 2013'] INFO 2020-05-30 15:59:07,578Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09] for variable platform_propeller_rotation_rate INFO 2020-05-30 15:59:07,619Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group ThrusterServo parameter platform_propeller_rotation_rate renaming to control_inputs_propeller_rotation_rate INFO 2020-05-30 15:59:07,621Z lrauvNc4ToNetcdf.py createSeries():240 platform_mass_position: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [655 656 657 658 659] INFO 2020-05-30 15:59:07,622Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:09 2013'] INFO 2020-05-30 15:59:07,622Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09] for variable platform_mass_position INFO 2020-05-30 15:59:07,635Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group MassServo parameter platform_mass_position renaming to control_inputs_mass_position INFO 2020-05-30 15:59:07,661Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group BuoyancyServo parameter platform_buoyancy_position renaming to control_inputs_buoyancy_position INFO 2020-05-30 15:59:07,662Z lrauvNc4ToNetcdf.py createSeries():240 sea_water_salinity: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [14] INFO 2020-05-30 15:59:07,663Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013'] INFO 2020-05-30 15:59:07,664Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09] for variable sea_water_salinity INFO 2020-05-30 15:59:07,668Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group CTD_NeilBrown parameter sea_water_salinity renaming to salinity INFO 2020-05-30 15:59:07,670Z lrauvNc4ToNetcdf.py createSeries():240 sea_water_temperature: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [14] INFO 2020-05-30 15:59:07,671Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013'] INFO 2020-05-30 15:59:07,671Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09] for variable sea_water_temperature INFO 2020-05-30 15:59:07,676Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group CTD_NeilBrown parameter sea_water_temperature renaming to temperature INFO 2020-05-30 15:59:07,679Z lrauvNc4ToNetcdf.py createSeries():240 mass_concentration_of_chlorophyll_in_sea_water: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [9801 9802 9803 9804 9805 9806 9807 9808 9809 9810 9811 9812 9813 9814 9815 9816 9817 9818 9819 9820 9821 9822 9823 9824 9825 9826 9827 9828 9829 9830 9831 9832 9833 9834 9835 9836 9837 9838 9839 9840 9841 9842 9843 9844 9845 9846 9847 9848 9849] INFO 2020-05-30 15:59:07,680Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013'] INFO 2020-05-30 15:59:07,681Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09] for variable mass_concentration_of_chlorophyll_in_sea_water INFO 2020-05-30 15:59:07,797Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group WetLabsBB2FL parameter mass_concentration_of_chlorophyll_in_sea_water renaming to chlorophyll INFO 2020-05-30 15:59:07,799Z lrauvNc4ToNetcdf.py createSeries():240 Output470: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [9801 9802 9803 9804 9805 9806 9807 9808 9809 9810 9811 9812 9813 9814 9815 9816 9817 9818 9819 9820 9821 9822 9823 9824 9825 9826 9827 9828 9829 9830 9831 9832 9833 9834 9835 9836 9837 9838 9839 9840 9841 9842 9843 9844 9845 9846 9847 9848 9849] INFO 2020-05-30 15:59:07,800Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013'] INFO 2020-05-30 15:59:07,802Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09] for variable Output470 INFO 2020-05-30 15:59:07,918Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group WetLabsBB2FL parameter Output470 renaming to bbp470 INFO 2020-05-30 15:59:07,920Z lrauvNc4ToNetcdf.py createSeries():240 Output650: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [9801 9802 9803 9804 9805 9806 9807 9808 9809 9810 9811 9812 9813 9814 9815 9816 9817 9818 9819 9820 9821 9822 9823 9824 9825 9826 9827 9828 9829 9830 9831 9832 9833 9834 9835 9836 9837 9838 9839 9840 9841 9842 9843 9844 9845 9846 9847 9848 9849] INFO 2020-05-30 15:59:07,921Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013'] INFO 2020-05-30 15:59:07,922Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09] for variable Output650 INFO 2020-05-30 15:59:08,040Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group WetLabsBB2FL parameter Output650 renaming to bbp650 INFO 2020-05-30 15:59:08,042Z lrauvNc4ToNetcdf.py createSeries():240 mass_concentration_of_oxygen_in_sea_water: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [792 793 794 795 796] INFO 2020-05-30 15:59:08,043Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013'] INFO 2020-05-30 15:59:08,044Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09] for variable mass_concentration_of_oxygen_in_sea_water INFO 2020-05-30 15:59:08,058Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group Aanderaa_O2 parameter mass_concentration_of_oxygen_in_sea_water renaming to oxygen INFO 2020-05-30 15:59:08,060Z lrauvNc4ToNetcdf.py createSeries():240 mole_concentration_of_nitrate_in_sea_water: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [289 290 291 292] INFO 2020-05-30 15:59:08,060Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013'] INFO 2020-05-30 15:59:08,061Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09] for variable mole_concentration_of_nitrate_in_sea_water INFO 2020-05-30 15:59:08,069Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group ISUS parameter mole_concentration_of_nitrate_in_sea_water renaming to nitrate INFO 2020-05-30 15:59:08,075Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group Onboard parameter platform_average_current renaming to health_platform_average_current INFO 2020-05-30 15:59:08,091Z lrauvNc4ToNetcdf.py createSeries():240 platform_pitch_angle: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [5930 5931 5932 5933 5934 5935 5936 5937 5938 5939 5940 5941 5942 5943 5944 5945 5946 5947 5948 5949 5950] INFO 2020-05-30 15:59:08,095Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013'] INFO 2020-05-30 15:59:08,099Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09] for variable platform_pitch_angle DEBUG 2020-05-30 15:59:08,173Z lrauvNc4ToNetcdf.py createNav():492 calling ts.resample() for pitch DEBUG 2020-05-30 15:59:08,179Z lrauvNc4ToNetcdf.py createNav():494 calling self.interpolate() for pitch INFO 2020-05-30 15:59:08,180Z lrauvNc4ToNetcdf.py createNav():504 platform_pitch_angle -> pitch: {'units': 'n/a', 'standard_name': 'platform_pitch_angle', 'coordinates': 'time depth latitude longitude'} INFO 2020-05-30 15:59:08,189Z lrauvNc4ToNetcdf.py createSeries():240 platform_roll_angle: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [5930 5931 5932 5933 5934 5935 5936 5937 5938 5939 5940 5941 5942 5943 5944 5945 5946 5947 5948 5949 5950] INFO 2020-05-30 15:59:08,193Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013'] INFO 2020-05-30 15:59:08,197Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09] for variable platform_roll_angle DEBUG 2020-05-30 15:59:08,271Z lrauvNc4ToNetcdf.py createNav():492 calling ts.resample() for roll DEBUG 2020-05-30 15:59:08,277Z lrauvNc4ToNetcdf.py createNav():494 calling self.interpolate() for roll INFO 2020-05-30 15:59:08,278Z lrauvNc4ToNetcdf.py createNav():504 platform_roll_angle -> roll: {'units': 'n/a', 'standard_name': 'platform_roll_angle', 'coordinates': 'time depth latitude longitude'} INFO 2020-05-30 15:59:08,287Z lrauvNc4ToNetcdf.py createSeries():240 platform_orientation: v_t values found before 2013-09-19 17:09:00 and after 2013-09-19 17:53:00: [5930 5931 5932 5933 5934 5935 5936 5937 5938 5939 5940 5941 5942 5943 5944 5945 5946 5947 5948 5949 5950] INFO 2020-05-30 15:59:08,291Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:00 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:01 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:02 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:03 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:04 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:05 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:06 2013', 'Thu Sep 19 17:53:07 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013', 'Thu Sep 19 17:53:08 2013'] INFO 2020-05-30 15:59:08,295Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961318e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09 1.37961319e+09] for variable platform_orientation DEBUG 2020-05-30 15:59:08,370Z lrauvNc4ToNetcdf.py createNav():492 calling ts.resample() for yaw DEBUG 2020-05-30 15:59:08,375Z lrauvNc4ToNetcdf.py createNav():494 calling self.interpolate() for yaw INFO 2020-05-30 15:59:08,376Z lrauvNc4ToNetcdf.py createNav():504 platform_orientation -> yaw: {'units': 'n/a', 'standard_name': 'platform_yaw_angle', 'coordinates': 'time depth latitude longitude'} INFO 2020-05-30 15:59:08,377Z lrauvNc4ToNetcdf.py nudge_coords():624 /mbari/LRAUV/tethys/missionlogs/2013/20130919_20130919/20130919T170929/201309191709_201309191753.nc4 DEBUG 2020-05-30 15:59:08,459Z lrauvNc4ToNetcdf.py var_series():612 longitude: rad_to_deg = True DEBUG 2020-05-30 15:59:08,540Z lrauvNc4ToNetcdf.py var_series():612 latitude: rad_to_deg = True DEBUG 2020-05-30 15:59:08,551Z lrauvNc4ToNetcdf.py var_series():612 longitude_fix: rad_to_deg = False DEBUG 2020-05-30 15:59:08,570Z lrauvNc4ToNetcdf.py var_series():612 latitude_fix: rad_to_deg = True INFO 2020-05-30 15:59:08,570Z lrauvNc4ToNetcdf.py nudge_coords():642 seg# end_sec_diff end_lon_diff end_lat_diff len(segi) seg_min u_drift (cm/s) v_drift (cm/s) start datetime of segment INFO 2020-05-30 15:59:08,571Z lrauvNc4ToNetcdf.py nudge_coords():658 - - - 0 0.00 - - - INFO 2020-05-30 15:59:08,573Z lrauvNc4ToNetcdf.py nudge_coords():710 1: - - - 5596 41.00 - - INFO 2020-05-30 15:59:08,573Z lrauvNc4ToNetcdf.py nudge_coords():714 Points in final series = 5596 DEBUG 2020-05-30 15:59:08,584Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():540 Constructing trackingdb url to 3600 seconds beyond time range of file INFO 2020-05-30 15:59:08,595Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():548 http://odss.mbari.org/trackingdb/position/tethys_ac/between/20130919T160938/20130919T185308/data.csv INFO 2020-05-30 15:59:08,631Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():571 Found 0 position values from the Tracking database INFO 2020-05-30 15:59:08,634Z lrauvNc4ToNetcdf.py processResampleNc4File():1143 ['fix_latitude', 'PAR', 'control_inputs_elevator_angle', 'control_inputs_rudder_angle', 'control_inputs_propeller_rotation_rate', 'control_inputs_mass_position', 'control_inputs_buoyancy_position', 'salinity', 'temperature', 'chlorophyll', 'bbp470', 'bbp650', 'oxygen', 'nitrate', 'health_platform_average_current', 'pitch', 'roll', 'yaw', 'latitude', 'longitude', 'depth', 'time'] DEBUG 2020-05-30 15:59:08,636Z lrauvNc4ToNetcdf.py write_netcdf():130 Creating netCDF file /mbari/LRAUV/tethys/missionlogs/2013/20130919_20130919/20130919T170929/201309191709_201309191753_2S_scieng.nc DEBUG 2020-05-30 15:59:08,717Z lrauvNc4ToNetcdf.py write_netcdf():155 Adding in record variable time DEBUG 2020-05-30 15:59:08,744Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable fix_latitude DEBUG 2020-05-30 15:59:08,752Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable PAR DEBUG 2020-05-30 15:59:08,757Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable control_inputs_elevator_angle DEBUG 2020-05-30 15:59:08,761Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable control_inputs_rudder_angle DEBUG 2020-05-30 15:59:08,766Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable control_inputs_propeller_rotation_rate DEBUG 2020-05-30 15:59:08,770Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable control_inputs_mass_position DEBUG 2020-05-30 15:59:08,775Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable control_inputs_buoyancy_position DEBUG 2020-05-30 15:59:08,779Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable salinity DEBUG 2020-05-30 15:59:08,789Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable temperature DEBUG 2020-05-30 15:59:08,794Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable chlorophyll DEBUG 2020-05-30 15:59:08,798Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable bbp470 DEBUG 2020-05-30 15:59:08,803Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable bbp650 DEBUG 2020-05-30 15:59:08,807Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable oxygen DEBUG 2020-05-30 15:59:08,811Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable nitrate DEBUG 2020-05-30 15:59:08,822Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable health_platform_average_current DEBUG 2020-05-30 15:59:08,827Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable pitch DEBUG 2020-05-30 15:59:08,831Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable roll DEBUG 2020-05-30 15:59:08,836Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable yaw DEBUG 2020-05-30 15:59:08,840Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable latitude DEBUG 2020-05-30 15:59:08,845Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable longitude DEBUG 2020-05-30 15:59:08,849Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable depth DEBUG 2020-05-30 15:59:08,854Z lrauvNc4ToNetcdf.py write_netcdf():174 Adding in global metadata INFO 2020-05-30 15:59:09,019Z lrauvNc4ToNetcdf.py processResampleNc4File():1146 Wrote /mbari/LRAUV/tethys/missionlogs/2013/20130919_20130919/20130919T170929/201309191709_201309191753_2S_scieng.nc