INFO 2020-05-30 17:05:54,977Z lrauvNc4ToNetcdf.py processResampleNc4File():994 Reading /mbari/LRAUV/tethys/missionlogs/2013/20130910_20130914/20130911T162528/201309111625_201309112054.nc4 file... INFO 2020-05-30 17:05:54,978Z lrauvNc4ToNetcdf.py processResampleNc4File():995 After copying to /tmp/201309111625_201309112054.nc4 INFO 2020-05-30 17:05:55,686Z lrauvNc4ToNetcdf.py processResampleNc4File():997 Read file /mbari/LRAUV/tethys/missionlogs/2013/20130910_20130914/20130911T162528/201309111625_201309112054.nc4 INFO 2020-05-30 17:05:55,699Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2013-09-11 16:25:00 and after 2013-09-11 20:54:00: [29827 29828 29829 29830 29831 29832 29833 29834 29835 29836 29837 29838 29839 29840 29841 29842 29843 29844 29845 29846 29847] INFO 2020-05-30 17:05:55,704Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:01 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:10 2013'] INFO 2020-05-30 17:05:55,708Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09] for variable latitude INFO 2020-05-30 17:05:56,069Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2013-09-11 16:25:00 and after 2013-09-11 20:54:00: [29827 29828 29829 29830 29831 29832 29833 29834 29835 29836 29837 29838 29839 29840 29841 29842 29843 29844 29845 29846 29847] INFO 2020-05-30 17:05:56,074Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:01 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:10 2013'] INFO 2020-05-30 17:05:56,078Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09] for variable longitude INFO 2020-05-30 17:05:56,438Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2013-09-11 16:25:00 and after 2013-09-11 20:54:00: [29969 29970 29971 29972 29973 29974 29975 29976 29977 29978 29979 29980 29981 29982 29983 29984 29985 29986 29987 29988] INFO 2020-05-30 17:05:56,443Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:01 2013', 'Wed Sep 11 20:54:01 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:10 2013'] INFO 2020-05-30 17:05:56,448Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09] for variable depth INFO 2020-05-30 17:05:56,810Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2013-09-11 16:25:00 and after 2013-09-11 20:54:00: [29967 29968 29969 29970 29971 29972 29973 29974 29975 29976 29977 29978 29979 29980 29981 29982 29983 29984 29985 29986] INFO 2020-05-30 17:05:56,815Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:01 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013'] INFO 2020-05-30 17:05:56,820Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09] for variable time INFO 2020-05-30 17:05:57,180Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2013-09-11 16:25:00 and after 2013-09-11 20:54:00: [29827 29828 29829 29830 29831 29832 29833 29834 29835 29836 29837 29838 29839 29840 29841 29842 29843 29844 29845 29846 29847] INFO 2020-05-30 17:05:57,185Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:01 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:10 2013'] INFO 2020-05-30 17:05:57,189Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09] for variable latitude INFO 2020-05-30 17:05:57,547Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2013-09-11 16:25:00 and after 2013-09-11 20:54:00: [29827 29828 29829 29830 29831 29832 29833 29834 29835 29836 29837 29838 29839 29840 29841 29842 29843 29844 29845 29846 29847] INFO 2020-05-30 17:05:57,552Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:01 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:10 2013'] INFO 2020-05-30 17:05:57,556Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09] for variable longitude INFO 2020-05-30 17:05:57,916Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2013-09-11 16:25:00 and after 2013-09-11 20:54:00: [29969 29970 29971 29972 29973 29974 29975 29976 29977 29978 29979 29980 29981 29982 29983 29984 29985 29986 29987 29988] INFO 2020-05-30 17:05:57,921Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:01 2013', 'Wed Sep 11 20:54:01 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:10 2013'] INFO 2020-05-30 17:05:57,926Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09] for variable depth INFO 2020-05-30 17:05:58,288Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2013-09-11 16:25:00 and after 2013-09-11 20:54:00: [29967 29968 29969 29970 29971 29972 29973 29974 29975 29976 29977 29978 29979 29980 29981 29982 29983 29984 29985 29986] INFO 2020-05-30 17:05:58,293Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:01 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013'] INFO 2020-05-30 17:05:58,297Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09] for variable time INFO 2020-05-30 17:05:58,666Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2013-09-11 16:25:00 and after 2013-09-11 20:54:00: [29827 29828 29829 29830 29831 29832 29833 29834 29835 29836 29837 29838 29839 29840 29841 29842 29843 29844 29845 29846 29847] INFO 2020-05-30 17:05:58,671Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:01 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:10 2013'] INFO 2020-05-30 17:05:58,675Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09] for variable latitude INFO 2020-05-30 17:05:59,043Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2013-09-11 16:25:00 and after 2013-09-11 20:54:00: [29827 29828 29829 29830 29831 29832 29833 29834 29835 29836 29837 29838 29839 29840 29841 29842 29843 29844 29845 29846 29847] INFO 2020-05-30 17:05:59,048Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:01 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:10 2013'] INFO 2020-05-30 17:05:59,053Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09] for variable longitude INFO 2020-05-30 17:05:59,412Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2013-09-11 16:25:00 and after 2013-09-11 20:54:00: [29969 29970 29971 29972 29973 29974 29975 29976 29977 29978 29979 29980 29981 29982 29983 29984 29985 29986 29987 29988] INFO 2020-05-30 17:05:59,416Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:01 2013', 'Wed Sep 11 20:54:01 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:10 2013'] INFO 2020-05-30 17:05:59,420Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09] for variable depth INFO 2020-05-30 17:05:59,785Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2013-09-11 16:25:00 and after 2013-09-11 20:54:00: [29967 29968 29969 29970 29971 29972 29973 29974 29975 29976 29977 29978 29979 29980 29981 29982 29983 29984 29985 29986] INFO 2020-05-30 17:05:59,790Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:01 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013'] INFO 2020-05-30 17:05:59,794Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09] for variable time INFO 2020-05-30 17:06:00,158Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2013-09-11 16:25:00 and after 2013-09-11 20:54:00: [29827 29828 29829 29830 29831 29832 29833 29834 29835 29836 29837 29838 29839 29840 29841 29842 29843 29844 29845 29846 29847] INFO 2020-05-30 17:06:00,162Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:01 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:10 2013'] INFO 2020-05-30 17:06:00,167Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09] for variable latitude INFO 2020-05-30 17:06:00,525Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2013-09-11 16:25:00 and after 2013-09-11 20:54:00: [29827 29828 29829 29830 29831 29832 29833 29834 29835 29836 29837 29838 29839 29840 29841 29842 29843 29844 29845 29846 29847] INFO 2020-05-30 17:06:00,529Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:01 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:10 2013'] INFO 2020-05-30 17:06:00,534Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09] for variable longitude INFO 2020-05-30 17:06:00,893Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2013-09-11 16:25:00 and after 2013-09-11 20:54:00: [29969 29970 29971 29972 29973 29974 29975 29976 29977 29978 29979 29980 29981 29982 29983 29984 29985 29986 29987 29988] INFO 2020-05-30 17:06:00,898Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:01 2013', 'Wed Sep 11 20:54:01 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:10 2013'] INFO 2020-05-30 17:06:00,902Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09] for variable depth INFO 2020-05-30 17:06:01,262Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2013-09-11 16:25:00 and after 2013-09-11 20:54:00: [29967 29968 29969 29970 29971 29972 29973 29974 29975 29976 29977 29978 29979 29980 29981 29982 29983 29984 29985 29986] INFO 2020-05-30 17:06:01,266Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:01 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013'] INFO 2020-05-30 17:06:01,271Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09] for variable time WARNING 2020-05-30 17:06:01,623Z lrauvNc4ToNetcdf.py processResampleNc4File():1006 Dropping from latitude repeated/decreasing values at indices: [ 805 1839 27269 27270 27271] WARNING 2020-05-30 17:06:01,627Z lrauvNc4ToNetcdf.py processResampleNc4File():1006 Dropping from longitude repeated/decreasing values at indices: [ 805 1839 27269 27270 27271] WARNING 2020-05-30 17:06:01,631Z lrauvNc4ToNetcdf.py processResampleNc4File():1006 Dropping from depth repeated/decreasing values at indices: [ 141 142 143 947 1981 27411 27412 27413] WARNING 2020-05-30 17:06:01,635Z lrauvNc4ToNetcdf.py processResampleNc4File():1006 Dropping from time repeated/decreasing values at indices: [ 139 140 141 945 1979 27409 27410 27411] INFO 2020-05-30 17:06:01,638Z lrauvNc4ToNetcdf.py processResampleNc4File():1010 Creating t variable of the time indexes INFO 2020-05-30 17:06:01,650Z lrauvNc4ToNetcdf.py createSeries():240 downwelling_photosynthetic_photon_flux_in_sea_water: v_t values found before 2013-09-11 16:25:00 and after 2013-09-11 20:54:00: [29967 29968 29969 29970 29971 29972 29973 29974 29975 29976 29977 29978 29979 29980 29981 29982 29983 29984 29985 29986] INFO 2020-05-30 17:06:01,651Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:00 2013', 'Wed Sep 11 20:54:01 2013', 'Wed Sep 11 20:54:03 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:04 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:05 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:06 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:07 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:08 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:09 2013', 'Wed Sep 11 20:54:10 2013'] INFO 2020-05-30 17:06:01,652Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893284e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09 1.37893285e+09] for variable downwelling_photosynthetic_photon_flux_in_sea_water INFO 2020-05-30 17:06:02,010Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group PAR_Licor parameter downwelling_photosynthetic_photon_flux_in_sea_water renaming to PAR INFO 2020-05-30 17:06:02,813Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group CTD_NeilBrown parameter sea_water_salinity renaming to salinity INFO 2020-05-30 17:06:03,612Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group CTD_NeilBrown parameter sea_water_temperature renaming to temperature INFO 2020-05-30 17:06:05,444Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group WetLabsBB2FL parameter mass_concentration_of_chlorophyll_in_sea_water renaming to chlorophyll INFO 2020-05-30 17:06:07,291Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group WetLabsBB2FL parameter Output470 renaming to bbp470 INFO 2020-05-30 17:06:09,129Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group WetLabsBB2FL parameter Output650 renaming to bbp650 INFO 2020-05-30 17:06:09,291Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group Aanderaa_O2 parameter mass_concentration_of_oxygen_in_sea_water renaming to oxygen INFO 2020-05-30 17:06:09,373Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group ISUS parameter mole_concentration_of_nitrate_in_sea_water renaming to nitrate INFO 2020-05-30 17:06:09,374Z lrauvNc4ToNetcdf.py nudge_coords():624 /mbari/LRAUV/tethys/missionlogs/2013/20130910_20130914/20130911T162528/201309111625_201309112054.nc4 DEBUG 2020-05-30 17:06:09,742Z lrauvNc4ToNetcdf.py var_series():612 longitude: rad_to_deg = True DEBUG 2020-05-30 17:06:10,107Z lrauvNc4ToNetcdf.py var_series():612 latitude: rad_to_deg = True DEBUG 2020-05-30 17:06:10,129Z lrauvNc4ToNetcdf.py var_series():612 longitude_fix: rad_to_deg = True DEBUG 2020-05-30 17:06:10,150Z lrauvNc4ToNetcdf.py var_series():612 latitude_fix: rad_to_deg = True INFO 2020-05-30 17:06:10,150Z 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 17:06:10,152Z lrauvNc4ToNetcdf.py nudge_coords():658 - - - 4 0.03 - - - INFO 2020-05-30 17:06:10,157Z lrauvNc4ToNetcdf.py nudge_coords():680 0: 0.370 0.0000930 0.0002895 457 3.28 11.31 16.37 2013-09-11 16:29:51.634053946 INFO 2020-05-30 17:06:10,162Z lrauvNc4ToNetcdf.py nudge_coords():680 1: 0.258 0.0000000 0.0000000 347 7.16 0.00 0.00 2013-09-11 16:37:02.433490992 INFO 2020-05-30 17:06:10,167Z lrauvNc4ToNetcdf.py nudge_coords():680 2: 0.373 -0.0000763 0.0006703 341 7.17 11.98 17.32 2013-09-11 16:44:13.081707954 INFO 2020-05-30 17:06:10,172Z lrauvNc4ToNetcdf.py nudge_coords():680 3: 0.221 0.0000000 0.0000000 527 8.53 0.00 0.00 2013-09-11 16:52:46.013312101 INFO 2020-05-30 17:06:10,178Z lrauvNc4ToNetcdf.py nudge_coords():680 4: 0.234 0.0000000 0.0000000 166 5.73 0.00 0.00 2013-09-11 16:58:30.366930962 INFO 2020-05-30 17:06:10,183Z lrauvNc4ToNetcdf.py nudge_coords():680 5: 0.374 -0.0006047 0.0005072 322 7.03 9.27 13.37 2013-09-11 17:05:32.439481020 INFO 2020-05-30 17:06:10,188Z lrauvNc4ToNetcdf.py nudge_coords():680 6: 0.049 0.0000000 0.0000000 60 0.43 0.00 0.00 2013-09-11 17:05:59.026623964 INFO 2020-05-30 17:06:10,193Z lrauvNc4ToNetcdf.py nudge_coords():680 7: 0.388 -0.0004158 0.0008440 459 8.00 13.57 19.55 2013-09-11 17:13:59.480631113 INFO 2020-05-30 17:06:10,198Z lrauvNc4ToNetcdf.py nudge_coords():680 8: 0.356 -0.0004927 0.0006114 446 7.87 10.00 14.40 2013-09-11 17:21:52.124537945 INFO 2020-05-30 17:06:10,203Z lrauvNc4ToNetcdf.py nudge_coords():680 9: 0.371 -0.0000885 0.0001329 1221 8.98 1.91 2.74 2013-09-11 17:30:51.566334009 INFO 2020-05-30 17:06:10,208Z lrauvNc4ToNetcdf.py nudge_coords():680 10: 0.247 0.0000000 0.0000000 9944 68.07 0.00 0.00 2013-09-11 18:38:56.041984081 INFO 2020-05-30 17:06:10,214Z lrauvNc4ToNetcdf.py nudge_coords():680 11: 0.252 0.0000000 0.0000000 714 5.24 0.00 0.00 2013-09-11 18:44:11.055295944 INFO 2020-05-30 17:06:10,220Z lrauvNc4ToNetcdf.py nudge_coords():680 12: 0.325 0.0036031 0.0001623 9212 62.89 0.33 0.48 2013-09-11 19:47:05.072813988 INFO 2020-05-30 17:06:10,226Z lrauvNc4ToNetcdf.py nudge_coords():680 13: 0.375 0.0000943 0.0000181 686 5.01 0.47 0.67 2013-09-11 19:52:06.625777006 INFO 2020-05-30 17:06:10,231Z lrauvNc4ToNetcdf.py nudge_coords():680 14: 0.425 0.0000000 0.0000000 2367 16.16 0.00 0.00 2013-09-11 20:08:17.811223984 INFO 2020-05-30 17:06:10,237Z lrauvNc4ToNetcdf.py nudge_coords():680 15: 0.376 0.0000170 0.0004007 433 7.84 6.63 9.47 2013-09-11 20:16:08.435309887 INFO 2020-05-30 17:06:10,242Z lrauvNc4ToNetcdf.py nudge_coords():680 16: 0.028 0.0000000 0.0000000 485 8.22 0.00 0.00 2013-09-11 20:24:22.014336109 INFO 2020-05-30 17:06:10,247Z lrauvNc4ToNetcdf.py nudge_coords():680 17: 0.296 0.0000000 0.0000000 619 9.23 0.00 0.00 2013-09-11 20:33:36.013312101 INFO 2020-05-30 17:06:10,252Z lrauvNc4ToNetcdf.py nudge_coords():680 18: 0.142 0.0000000 0.0000000 138 5.56 0.00 0.00 2013-09-11 20:39:10.025599957 INFO 2020-05-30 17:06:10,257Z lrauvNc4ToNetcdf.py nudge_coords():680 19: 0.370 0.0000345 0.0008830 778 10.23 11.21 15.99 2013-09-11 20:49:24.259448051 INFO 2020-05-30 17:06:10,262Z lrauvNc4ToNetcdf.py nudge_coords():710 21: - - - 122 4.75 - - INFO 2020-05-30 17:06:10,262Z lrauvNc4ToNetcdf.py nudge_coords():714 Points in final series = 29848 DEBUG 2020-05-30 17:06:10,263Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():540 Constructing trackingdb url to 3600 seconds beyond time range of file INFO 2020-05-30 17:06:10,273Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():548 http://odss.mbari.org/trackingdb/position/tethys_ac/between/20130911T152537/20130911T215411/data.csv INFO 2020-05-30 17:06:10,305Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():571 Found 0 position values from the Tracking database INFO 2020-05-30 17:06:10,308Z lrauvNc4ToNetcdf.py processResampleNc4File():1143 ['PAR', 'salinity', 'temperature', 'chlorophyll', 'bbp470', 'bbp650', 'oxygen', 'nitrate', 'latitude', 'longitude', 'depth', 'time'] DEBUG 2020-05-30 17:06:10,310Z lrauvNc4ToNetcdf.py write_netcdf():130 Creating netCDF file /mbari/LRAUV/tethys/missionlogs/2013/20130910_20130914/20130911T162528/201309111625_201309112054_10S_sci.nc DEBUG 2020-05-30 17:06:10,371Z lrauvNc4ToNetcdf.py write_netcdf():155 Adding in record variable time DEBUG 2020-05-30 17:06:10,380Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable PAR DEBUG 2020-05-30 17:06:10,382Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable salinity DEBUG 2020-05-30 17:06:10,383Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable temperature DEBUG 2020-05-30 17:06:10,385Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable chlorophyll DEBUG 2020-05-30 17:06:10,386Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable bbp470 DEBUG 2020-05-30 17:06:10,387Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable bbp650 DEBUG 2020-05-30 17:06:10,389Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable oxygen DEBUG 2020-05-30 17:06:10,390Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable nitrate DEBUG 2020-05-30 17:06:10,398Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable latitude DEBUG 2020-05-30 17:06:10,400Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable longitude DEBUG 2020-05-30 17:06:10,401Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable depth DEBUG 2020-05-30 17:06:10,403Z lrauvNc4ToNetcdf.py write_netcdf():174 Adding in global metadata INFO 2020-05-30 17:06:10,540Z lrauvNc4ToNetcdf.py processResampleNc4File():1146 Wrote /mbari/LRAUV/tethys/missionlogs/2013/20130910_20130914/20130911T162528/201309111625_201309112054_10S_sci.nc