INFO 2020-05-30 17:08:55,250Z lrauvNc4ToNetcdf.py processResampleNc4File():994 Reading /mbari/LRAUV/tethys/missionlogs/2013/20130919_20130919/20130919T170929/201309191709_201309191753.nc4 file... INFO 2020-05-30 17:08:55,251Z lrauvNc4ToNetcdf.py processResampleNc4File():995 After copying to /tmp/201309191709_201309191753.nc4 INFO 2020-05-30 17:08:55,877Z lrauvNc4ToNetcdf.py processResampleNc4File():997 Read file /mbari/LRAUV/tethys/missionlogs/2013/20130919_20130919/20130919T170929/201309191709_201309191753.nc4 INFO 2020-05-30 17:08:55,888Z 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 17:08:55,892Z 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 17:08:55,897Z 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 17:08:55,978Z 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 17:08:55,983Z 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 17:08:55,987Z 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 17:08:56,069Z 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 17:08:56,073Z 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 17:08:56,077Z 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 17:08:56,161Z 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 17:08:56,165Z 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 17:08:56,169Z 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 17:08:56,253Z 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 17:08:56,257Z 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 17:08:56,262Z 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 17:08:56,341Z 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 17:08:56,345Z 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 17:08:56,350Z 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 17:08:56,429Z 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 17:08:56,433Z 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 17:08:56,437Z 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 17:08:56,521Z 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 17:08:56,525Z 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 17:08:56,529Z 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 17:08:56,612Z 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 17:08:56,617Z 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 17:08:56,621Z 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 17:08:56,700Z 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 17:08:56,705Z 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 17:08:56,709Z 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 17:08:56,789Z 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 17:08:56,793Z 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 17:08:56,797Z 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 17:08:56,881Z 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 17:08:56,885Z 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 17:08:56,889Z 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 17:08:56,975Z 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 17:08:56,979Z 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 17:08:56,983Z 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 17:08:57,064Z 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 17:08:57,068Z 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 17:08:57,073Z 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 17:08:57,153Z 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 17:08:57,157Z 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 17:08:57,161Z 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 17:08:57,246Z 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 17:08:57,250Z 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 17:08:57,255Z 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 17:08:57,332Z lrauvNc4ToNetcdf.py processResampleNc4File():1010 Creating t variable of the time indexes INFO 2020-05-30 17:08:57,339Z 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 17:08:57,340Z 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 17:08:57,341Z 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 17:08:57,416Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group PAR_Licor parameter downwelling_photosynthetic_photon_flux_in_sea_water renaming to PAR INFO 2020-05-30 17:08:57,417Z 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 17:08:57,418Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013'] INFO 2020-05-30 17:08:57,419Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09] for variable sea_water_salinity INFO 2020-05-30 17:08:57,423Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group CTD_NeilBrown parameter sea_water_salinity renaming to salinity INFO 2020-05-30 17:08:57,425Z 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 17:08:57,425Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 19 17:53:00 2013'] INFO 2020-05-30 17:08:57,426Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37961318e+09] for variable sea_water_temperature INFO 2020-05-30 17:08:57,430Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group CTD_NeilBrown parameter sea_water_temperature renaming to temperature INFO 2020-05-30 17:08:57,433Z 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 17:08:57,434Z 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 17:08:57,435Z 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 17:08:57,557Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group WetLabsBB2FL parameter mass_concentration_of_chlorophyll_in_sea_water renaming to chlorophyll INFO 2020-05-30 17:08:57,559Z 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 17:08:57,560Z 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 17:08:57,562Z 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 17:08:57,680Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group WetLabsBB2FL parameter Output470 renaming to bbp470 INFO 2020-05-30 17:08:57,682Z 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 17:08:57,683Z 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 17:08:57,685Z 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 17:08:57,804Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group WetLabsBB2FL parameter Output650 renaming to bbp650 INFO 2020-05-30 17:08:57,805Z 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 17:08:57,806Z 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 17:08:57,807Z 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 17:08:57,821Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group Aanderaa_O2 parameter mass_concentration_of_oxygen_in_sea_water renaming to oxygen INFO 2020-05-30 17:08:57,822Z 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 17:08:57,823Z 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 17:08:57,824Z 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 17:08:57,832Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group ISUS parameter mole_concentration_of_nitrate_in_sea_water renaming to nitrate INFO 2020-05-30 17:08:57,833Z lrauvNc4ToNetcdf.py nudge_coords():624 /mbari/LRAUV/tethys/missionlogs/2013/20130919_20130919/20130919T170929/201309191709_201309191753.nc4 DEBUG 2020-05-30 17:08:57,920Z lrauvNc4ToNetcdf.py var_series():612 longitude: rad_to_deg = True DEBUG 2020-05-30 17:08:58,005Z lrauvNc4ToNetcdf.py var_series():612 latitude: rad_to_deg = True DEBUG 2020-05-30 17:08:58,017Z lrauvNc4ToNetcdf.py var_series():612 longitude_fix: rad_to_deg = False DEBUG 2020-05-30 17:08:58,036Z lrauvNc4ToNetcdf.py var_series():612 latitude_fix: rad_to_deg = True INFO 2020-05-30 17:08:58,037Z 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 17:08:58,038Z lrauvNc4ToNetcdf.py nudge_coords():658 - - - 0 0.00 - - - INFO 2020-05-30 17:08:58,039Z lrauvNc4ToNetcdf.py nudge_coords():710 1: - - - 5596 41.00 - - INFO 2020-05-30 17:08:58,040Z lrauvNc4ToNetcdf.py nudge_coords():714 Points in final series = 5596 DEBUG 2020-05-30 17:08:58,051Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():540 Constructing trackingdb url to 3600 seconds beyond time range of file INFO 2020-05-30 17:08:58,061Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():548 http://odss.mbari.org/trackingdb/position/tethys_ac/between/20130919T160938/20130919T185308/data.csv INFO 2020-05-30 17:08:58,099Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():571 Found 0 position values from the Tracking database INFO 2020-05-30 17:08:58,102Z lrauvNc4ToNetcdf.py processResampleNc4File():1143 ['PAR', 'salinity', 'temperature', 'chlorophyll', 'bbp470', 'bbp650', 'oxygen', 'nitrate', 'latitude', 'longitude', 'depth', 'time'] DEBUG 2020-05-30 17:08:58,103Z lrauvNc4ToNetcdf.py write_netcdf():130 Creating netCDF file /mbari/LRAUV/tethys/missionlogs/2013/20130919_20130919/20130919T170929/201309191709_201309191753_10S_sci.nc DEBUG 2020-05-30 17:08:58,164Z lrauvNc4ToNetcdf.py write_netcdf():155 Adding in record variable time DEBUG 2020-05-30 17:08:58,173Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable PAR DEBUG 2020-05-30 17:08:58,176Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable salinity DEBUG 2020-05-30 17:08:58,179Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable temperature DEBUG 2020-05-30 17:08:58,182Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable chlorophyll DEBUG 2020-05-30 17:08:58,185Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable bbp470 DEBUG 2020-05-30 17:08:58,187Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable bbp650 DEBUG 2020-05-30 17:08:58,190Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable oxygen DEBUG 2020-05-30 17:08:58,193Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable nitrate DEBUG 2020-05-30 17:08:58,199Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable latitude DEBUG 2020-05-30 17:08:58,202Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable longitude DEBUG 2020-05-30 17:08:58,206Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable depth DEBUG 2020-05-30 17:08:58,209Z lrauvNc4ToNetcdf.py write_netcdf():174 Adding in global metadata INFO 2020-05-30 17:08:58,324Z lrauvNc4ToNetcdf.py processResampleNc4File():1146 Wrote /mbari/LRAUV/tethys/missionlogs/2013/20130919_20130919/20130919T170929/201309191709_201309191753_10S_sci.nc