INFO 2020-05-30 18:03:21,762Z lrauvNc4ToNetcdf.py processResampleNc4File():994 Reading /mbari/LRAUV/tethys/missionlogs/2013/20130910_20130914/20130911T162528/201309111625_201309112054.nc4 file... INFO 2020-05-30 18:03:21,762Z lrauvNc4ToNetcdf.py processResampleNc4File():995 After copying to /tmp/201309111625_201309112054.nc4 INFO 2020-05-30 18:03:22,659Z lrauvNc4ToNetcdf.py processResampleNc4File():997 Read file /mbari/LRAUV/tethys/missionlogs/2013/20130910_20130914/20130911T162528/201309111625_201309112054.nc4 INFO 2020-05-30 18:03:22,671Z 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 18:03:22,675Z 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 18:03:22,679Z 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 18:03:23,038Z 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 18:03:23,042Z 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 18:03:23,046Z 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 18:03:23,408Z 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 18:03:23,412Z 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 18:03:23,416Z 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 18:03:23,774Z 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 18:03:23,778Z 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 18:03:23,783Z 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 18:03:24,141Z 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 18:03:24,145Z 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 18:03:24,149Z 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 18:03:24,504Z 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 18:03:24,507Z 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 18:03:24,512Z 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 18:03:24,865Z 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 18:03:24,869Z 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 18:03:24,873Z 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 18:03:25,228Z 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 18:03:25,232Z 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 18:03:25,237Z 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 18:03:25,595Z 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 18:03:25,599Z 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 18:03:25,603Z 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 18:03:25,956Z 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 18:03:25,960Z 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 18:03:25,964Z 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 18:03:26,319Z 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 18:03:26,323Z 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 18:03:26,327Z 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 18:03:26,682Z 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 18:03:26,686Z 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 18:03:26,690Z 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 18:03:27,047Z 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 18:03:27,051Z 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 18:03:27,056Z 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 18:03:27,413Z 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 18:03:27,417Z 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 18:03:27,421Z 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 18:03:27,777Z 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 18:03:27,782Z 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 18:03:27,786Z 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 18:03:28,143Z 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 18:03:28,147Z 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 18:03:28,151Z 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 18:03:28,498Z lrauvNc4ToNetcdf.py processResampleNc4File():1006 Dropping from latitude repeated/decreasing values at indices: [ 805 1839 27269 27270 27271] WARNING 2020-05-30 18:03:28,503Z lrauvNc4ToNetcdf.py processResampleNc4File():1006 Dropping from longitude repeated/decreasing values at indices: [ 805 1839 27269 27270 27271] WARNING 2020-05-30 18:03:28,506Z lrauvNc4ToNetcdf.py processResampleNc4File():1006 Dropping from depth repeated/decreasing values at indices: [ 141 142 143 947 1981 27411 27412 27413] WARNING 2020-05-30 18:03:28,510Z lrauvNc4ToNetcdf.py processResampleNc4File():1006 Dropping from time repeated/decreasing values at indices: [ 139 140 141 945 1979 27409 27410 27411] INFO 2020-05-30 18:03:28,513Z lrauvNc4ToNetcdf.py processResampleNc4File():1010 Creating t variable of the time indexes INFO 2020-05-30 18:03:28,529Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group NAL9602 parameter time_fix renaming to fix_time INFO 2020-05-30 18:03:28,535Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group NAL9602 parameter latitude_fix renaming to fix_latitude INFO 2020-05-30 18:03:28,541Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group NAL9602 parameter longitude_fix renaming to fix_longitude INFO 2020-05-30 18:03:28,590Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group ElevatorServo parameter platform_elevator_angle renaming to control_inputs_elevator_angle INFO 2020-05-30 18:03:28,723Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group RudderServo parameter platform_rudder_angle renaming to control_inputs_rudder_angle INFO 2020-05-30 18:03:29,121Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group ThrusterServo parameter platform_propeller_rotation_rate renaming to control_inputs_propeller_rotation_rate INFO 2020-05-30 18:03:29,162Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group MassServo parameter platform_mass_position renaming to control_inputs_mass_position INFO 2020-05-30 18:03:29,239Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group BuoyancyServo parameter platform_buoyancy_position renaming to control_inputs_buoyancy_position INFO 2020-05-30 18:03:29,245Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group Onboard parameter platform_average_current renaming to health_platform_average_current INFO 2020-05-30 18:03:29,260Z lrauvNc4ToNetcdf.py createSeries():240 platform_pitch_angle: 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 18:03:29,264Z 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 18:03:29,269Z 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 platform_pitch_angle DEBUG 2020-05-30 18:03:29,614Z lrauvNc4ToNetcdf.py createNav():492 calling ts.resample() for pitch DEBUG 2020-05-30 18:03:29,632Z lrauvNc4ToNetcdf.py createNav():494 calling self.interpolate() for pitch INFO 2020-05-30 18:03:29,633Z 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 18:03:29,644Z lrauvNc4ToNetcdf.py createSeries():240 platform_roll_angle: 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 18:03:29,648Z 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 18:03:29,652Z 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 platform_roll_angle DEBUG 2020-05-30 18:03:29,998Z lrauvNc4ToNetcdf.py createNav():492 calling ts.resample() for roll DEBUG 2020-05-30 18:03:30,014Z lrauvNc4ToNetcdf.py createNav():494 calling self.interpolate() for roll INFO 2020-05-30 18:03:30,015Z 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 18:03:30,027Z lrauvNc4ToNetcdf.py createSeries():240 platform_orientation: 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 18:03:30,031Z 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 18:03:30,035Z 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 platform_orientation DEBUG 2020-05-30 18:03:30,381Z lrauvNc4ToNetcdf.py createNav():492 calling ts.resample() for yaw DEBUG 2020-05-30 18:03:30,397Z lrauvNc4ToNetcdf.py createNav():494 calling self.interpolate() for yaw INFO 2020-05-30 18:03:30,398Z lrauvNc4ToNetcdf.py createNav():504 platform_orientation -> yaw: {'units': 'n/a', 'standard_name': 'platform_yaw_angle', 'coordinates': 'time depth latitude longitude'} INFO 2020-05-30 18:03:30,399Z lrauvNc4ToNetcdf.py nudge_coords():624 /mbari/LRAUV/tethys/missionlogs/2013/20130910_20130914/20130911T162528/201309111625_201309112054.nc4 DEBUG 2020-05-30 18:03:30,762Z lrauvNc4ToNetcdf.py var_series():612 longitude: rad_to_deg = True DEBUG 2020-05-30 18:03:31,121Z lrauvNc4ToNetcdf.py var_series():612 latitude: rad_to_deg = True DEBUG 2020-05-30 18:03:31,140Z lrauvNc4ToNetcdf.py var_series():612 longitude_fix: rad_to_deg = True DEBUG 2020-05-30 18:03:31,160Z lrauvNc4ToNetcdf.py var_series():612 latitude_fix: rad_to_deg = True INFO 2020-05-30 18:03:31,160Z 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 18:03:31,162Z lrauvNc4ToNetcdf.py nudge_coords():658 - - - 4 0.03 - - - INFO 2020-05-30 18:03:31,167Z 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 18:03:31,173Z 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 18:03:31,178Z 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 18:03:31,182Z 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 18:03:31,188Z 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 18:03:31,192Z 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 18:03:31,197Z 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 18:03:31,203Z 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 18:03:31,208Z 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 18:03:31,213Z 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 18:03:31,218Z 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 18:03:31,224Z 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 18:03:31,229Z 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 18:03:31,235Z 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 18:03:31,240Z 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 18:03:31,245Z 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 18:03:31,250Z 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 18:03:31,255Z 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 18:03:31,261Z 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 18:03:31,266Z 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 18:03:31,270Z lrauvNc4ToNetcdf.py nudge_coords():710 21: - - - 122 4.75 - - INFO 2020-05-30 18:03:31,271Z lrauvNc4ToNetcdf.py nudge_coords():714 Points in final series = 29848 DEBUG 2020-05-30 18:03:31,271Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():540 Constructing trackingdb url to 3600 seconds beyond time range of file INFO 2020-05-30 18:03:31,281Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():548 http://odss.mbari.org/trackingdb/position/tethys_ac/between/20130911T152537/20130911T215411/data.csv INFO 2020-05-30 18:03:31,311Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():571 Found 0 position values from the Tracking database INFO 2020-05-30 18:03:31,315Z lrauvNc4ToNetcdf.py processResampleNc4File():1143 ['fix_time', 'fix_latitude', 'fix_longitude', 'control_inputs_elevator_angle', 'control_inputs_rudder_angle', 'control_inputs_propeller_rotation_rate', 'control_inputs_mass_position', 'control_inputs_buoyancy_position', 'health_platform_average_current', 'pitch', 'roll', 'yaw', 'latitude', 'longitude', 'depth', 'time'] DEBUG 2020-05-30 18:03:31,317Z lrauvNc4ToNetcdf.py write_netcdf():130 Creating netCDF file /mbari/LRAUV/tethys/missionlogs/2013/20130910_20130914/20130911T162528/201309111625_201309112054_2S_eng.nc DEBUG 2020-05-30 18:03:31,381Z lrauvNc4ToNetcdf.py write_netcdf():155 Adding in record variable fix_time DEBUG 2020-05-30 18:03:31,403Z lrauvNc4ToNetcdf.py write_netcdf():155 Adding in record variable time DEBUG 2020-05-30 18:03:31,410Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable fix_latitude DEBUG 2020-05-30 18:03:31,416Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable fix_longitude DEBUG 2020-05-30 18:03:31,422Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable control_inputs_elevator_angle DEBUG 2020-05-30 18:03:31,428Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable control_inputs_rudder_angle DEBUG 2020-05-30 18:03:31,433Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable control_inputs_propeller_rotation_rate DEBUG 2020-05-30 18:03:31,439Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable control_inputs_mass_position DEBUG 2020-05-30 18:03:31,445Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable control_inputs_buoyancy_position DEBUG 2020-05-30 18:03:31,460Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable health_platform_average_current DEBUG 2020-05-30 18:03:31,466Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable pitch DEBUG 2020-05-30 18:03:31,472Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable roll DEBUG 2020-05-30 18:03:31,478Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable yaw DEBUG 2020-05-30 18:03:31,484Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable latitude DEBUG 2020-05-30 18:03:31,498Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable longitude DEBUG 2020-05-30 18:03:31,504Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable depth DEBUG 2020-05-30 18:03:31,510Z lrauvNc4ToNetcdf.py write_netcdf():174 Adding in global metadata INFO 2020-05-30 18:03:31,673Z lrauvNc4ToNetcdf.py processResampleNc4File():1146 Wrote /mbari/LRAUV/tethys/missionlogs/2013/20130910_20130914/20130911T162528/201309111625_201309112054_2S_eng.nc