INFO 2020-05-29 04:57:22,057Z lrauvNc4ToNetcdf.py processResampleNc4File():994 Reading /mbari/LRAUV/tethys/missionlogs/2013/20130313_20130320/20130314T133105/201303141331_201303150644.nc4 file... INFO 2020-05-29 04:57:22,057Z lrauvNc4ToNetcdf.py processResampleNc4File():995 After copying to /tmp/201303141331_201303150644.nc4 INFO 2020-05-29 04:57:22,614Z lrauvNc4ToNetcdf.py processResampleNc4File():997 Read file /mbari/LRAUV/tethys/missionlogs/2013/20130313_20130320/20130314T133105/201303141331_201303150644.nc4 INFO 2020-05-29 04:57:22,639Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2013-03-14 13:31:00 and after 2013-03-15 06:44:00: [148061 148062 148063 148064 148065 148066 148067 148068 148069 148070 148071 148072 148073 148074 148075 148076 148077 148078 148079 148080 148081 148082 148083 148084 148085] INFO 2020-05-29 04:57:22,644Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013'] INFO 2020-05-29 04:57:22,649Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09] for variable latitude INFO 2020-05-29 04:57:24,410Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2013-03-14 13:31:00 and after 2013-03-15 06:44:00: [148061 148062 148063 148064 148065 148066 148067 148068 148069 148070 148071 148072 148073 148074 148075 148076 148077 148078 148079 148080 148081 148082 148083 148084 148085] INFO 2020-05-29 04:57:24,416Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013'] INFO 2020-05-29 04:57:24,420Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09] for variable longitude INFO 2020-05-29 04:57:26,220Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2013-03-14 13:31:00 and after 2013-03-15 06:44:00: [148164 148165 148166 148167 148168 148169 148170 148171 148172 148173 148174 148175 148176 148177 148178 148179 148180 148181 148182 148183 148184 148185 148186 148187 148188] INFO 2020-05-29 04:57:26,225Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013'] INFO 2020-05-29 04:57:26,230Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09] for variable depth INFO 2020-05-29 04:57:28,005Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2013-03-14 13:31:00 and after 2013-03-15 06:44:00: [148163 148164 148165 148166 148167 148168 148169 148170 148171 148172 148173 148174 148175 148176 148177 148178 148179 148180 148181 148182 148183 148184 148185 148186] INFO 2020-05-29 04:57:28,010Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013'] INFO 2020-05-29 04:57:28,015Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09] for variable time INFO 2020-05-29 04:57:29,780Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2013-03-14 13:31:00 and after 2013-03-15 06:44:00: [148061 148062 148063 148064 148065 148066 148067 148068 148069 148070 148071 148072 148073 148074 148075 148076 148077 148078 148079 148080 148081 148082 148083 148084 148085] INFO 2020-05-29 04:57:29,786Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013'] INFO 2020-05-29 04:57:29,790Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09] for variable latitude INFO 2020-05-29 04:57:31,562Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2013-03-14 13:31:00 and after 2013-03-15 06:44:00: [148061 148062 148063 148064 148065 148066 148067 148068 148069 148070 148071 148072 148073 148074 148075 148076 148077 148078 148079 148080 148081 148082 148083 148084 148085] INFO 2020-05-29 04:57:31,568Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013'] INFO 2020-05-29 04:57:31,572Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09] for variable longitude INFO 2020-05-29 04:57:33,352Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2013-03-14 13:31:00 and after 2013-03-15 06:44:00: [148164 148165 148166 148167 148168 148169 148170 148171 148172 148173 148174 148175 148176 148177 148178 148179 148180 148181 148182 148183 148184 148185 148186 148187 148188] INFO 2020-05-29 04:57:33,358Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013'] INFO 2020-05-29 04:57:33,363Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09] for variable depth INFO 2020-05-29 04:57:35,140Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2013-03-14 13:31:00 and after 2013-03-15 06:44:00: [148163 148164 148165 148166 148167 148168 148169 148170 148171 148172 148173 148174 148175 148176 148177 148178 148179 148180 148181 148182 148183 148184 148185 148186] INFO 2020-05-29 04:57:35,145Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013'] INFO 2020-05-29 04:57:35,150Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09] for variable time INFO 2020-05-29 04:57:36,914Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2013-03-14 13:31:00 and after 2013-03-15 06:44:00: [148061 148062 148063 148064 148065 148066 148067 148068 148069 148070 148071 148072 148073 148074 148075 148076 148077 148078 148079 148080 148081 148082 148083 148084 148085] INFO 2020-05-29 04:57:36,919Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013'] INFO 2020-05-29 04:57:36,924Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09] for variable latitude INFO 2020-05-29 04:57:38,687Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2013-03-14 13:31:00 and after 2013-03-15 06:44:00: [148061 148062 148063 148064 148065 148066 148067 148068 148069 148070 148071 148072 148073 148074 148075 148076 148077 148078 148079 148080 148081 148082 148083 148084 148085] INFO 2020-05-29 04:57:38,693Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013'] INFO 2020-05-29 04:57:38,698Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09] for variable longitude INFO 2020-05-29 04:57:40,477Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2013-03-14 13:31:00 and after 2013-03-15 06:44:00: [148164 148165 148166 148167 148168 148169 148170 148171 148172 148173 148174 148175 148176 148177 148178 148179 148180 148181 148182 148183 148184 148185 148186 148187 148188] INFO 2020-05-29 04:57:40,483Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013'] INFO 2020-05-29 04:57:40,487Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09] for variable depth INFO 2020-05-29 04:57:42,258Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2013-03-14 13:31:00 and after 2013-03-15 06:44:00: [148163 148164 148165 148166 148167 148168 148169 148170 148171 148172 148173 148174 148175 148176 148177 148178 148179 148180 148181 148182 148183 148184 148185 148186] INFO 2020-05-29 04:57:42,263Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013'] INFO 2020-05-29 04:57:42,268Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09] for variable time INFO 2020-05-29 04:57:44,039Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2013-03-14 13:31:00 and after 2013-03-15 06:44:00: [148061 148062 148063 148064 148065 148066 148067 148068 148069 148070 148071 148072 148073 148074 148075 148076 148077 148078 148079 148080 148081 148082 148083 148084 148085] INFO 2020-05-29 04:57:44,045Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013'] INFO 2020-05-29 04:57:44,050Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09] for variable latitude INFO 2020-05-29 04:57:45,812Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2013-03-14 13:31:00 and after 2013-03-15 06:44:00: [148061 148062 148063 148064 148065 148066 148067 148068 148069 148070 148071 148072 148073 148074 148075 148076 148077 148078 148079 148080 148081 148082 148083 148084 148085] INFO 2020-05-29 04:57:45,817Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013'] INFO 2020-05-29 04:57:45,822Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09] for variable longitude INFO 2020-05-29 04:57:47,596Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2013-03-14 13:31:00 and after 2013-03-15 06:44:00: [148164 148165 148166 148167 148168 148169 148170 148171 148172 148173 148174 148175 148176 148177 148178 148179 148180 148181 148182 148183 148184 148185 148186 148187 148188] INFO 2020-05-29 04:57:47,601Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013'] INFO 2020-05-29 04:57:47,606Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09] for variable depth INFO 2020-05-29 04:57:49,371Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2013-03-14 13:31:00 and after 2013-03-15 06:44:00: [148163 148164 148165 148166 148167 148168 148169 148170 148171 148172 148173 148174 148175 148176 148177 148178 148179 148180 148181 148182 148183 148184 148185 148186] INFO 2020-05-29 04:57:49,377Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013'] INFO 2020-05-29 04:57:49,381Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09] for variable time WARNING 2020-05-29 04:57:51,141Z lrauvNc4ToNetcdf.py processResampleNc4File():1002 Original time axis has repeated values at indices: [ 101 27956 28037 28122 28210 51212 51686 51769 51849 51936 75475 75554 75634 75715 82952 99272 99330 99409 99473 123080 123165 123249 123327 146878 146966 147051 147135] WARNING 2020-05-29 04:57:51,141Z lrauvNc4ToNetcdf.py processResampleNc4File():1003 Dropping those indices from coords: ['latitude', 'longitude', 'depth', 'time'] INFO 2020-05-29 04:57:51,189Z lrauvNc4ToNetcdf.py processResampleNc4File():1008 Creating t variable of the time indexes INFO 2020-05-29 04:57:51,228Z lrauvNc4ToNetcdf.py createSeries():240 downwelling_photosynthetic_photon_flux_in_sea_water: v_t values found before 2013-03-14 13:31:00 and after 2013-03-15 06:44:00: [148163 148164 148165 148166 148167 148168 148169 148170 148171 148172 148173 148174 148175 148176 148177 148178 148179 148180 148181 148182 148183 148184 148185 148186] INFO 2020-05-29 04:57:51,229Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:09 2013', 'Fri Mar 15 06:44:09 2013'] INFO 2020-05-29 04:57:51,230Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09] for variable downwelling_photosynthetic_photon_flux_in_sea_water INFO 2020-05-29 04:57:53,034Z lrauvNc4ToNetcdf.py processResampleNc4File():1083 Found in group PAR_Licor parameter downwelling_photosynthetic_photon_flux_in_sea_water renaming to PAR INFO 2020-05-29 04:57:53,038Z lrauvNc4ToNetcdf.py createSeries():240 mass_concentration_of_oxygen_in_sea_water: v_t values found before 2013-03-14 13:31:00 and after 2013-03-15 06:44:00: [54765 54766 54767 54768 54769 54770 54771 54772 54773] INFO 2020-05-29 04:57:53,039Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:09 2013'] INFO 2020-05-29 04:57:53,040Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09] for variable mass_concentration_of_oxygen_in_sea_water INFO 2020-05-29 04:57:53,693Z lrauvNc4ToNetcdf.py processResampleNc4File():1083 Found in group Aanderaa_O2 parameter mass_concentration_of_oxygen_in_sea_water renaming to oxygen INFO 2020-05-29 04:57:53,715Z lrauvNc4ToNetcdf.py createSeries():240 sea_water_salinity: v_t values found before 2013-03-14 13:31:00 and after 2013-03-15 06:44:00: [279972 279973 279974 279975 279976 279977 279978 279979 279980 279981 279982 279983 279984 279985 279986 279987 279988 279989 279990 279991 279992 279993 279994 279995 279996 279997 279998 279999 280000 280001 280002 280003 280004 280005 280006 280007 280008 280009 280010 280011 280012] INFO 2020-05-29 04:57:53,716Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013'] INFO 2020-05-29 04:57:53,717Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09] for variable sea_water_salinity INFO 2020-05-29 04:57:57,082Z lrauvNc4ToNetcdf.py processResampleNc4File():1083 Found in group CTD_NeilBrown parameter sea_water_salinity renaming to salinity INFO 2020-05-29 04:57:57,102Z lrauvNc4ToNetcdf.py createSeries():240 sea_water_temperature: v_t values found before 2013-03-14 13:31:00 and after 2013-03-15 06:44:00: [279972 279973 279974 279975 279976 279977 279978 279979 279980 279981 279982 279983 279984 279985 279986 279987 279988 279989 279990 279991 279992 279993 279994 279995 279996 279997 279998 279999 280000 280001 280002 280003 280004 280005 280006 280007 280008 280009 280010 280011 280012] INFO 2020-05-29 04:57:57,103Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013'] INFO 2020-05-29 04:57:57,105Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09] for variable sea_water_temperature INFO 2020-05-29 04:58:00,433Z lrauvNc4ToNetcdf.py processResampleNc4File():1083 Found in group CTD_NeilBrown parameter sea_water_temperature renaming to temperature INFO 2020-05-29 04:58:00,436Z lrauvNc4ToNetcdf.py createSeries():240 mole_concentration_of_nitrate_in_sea_water: v_t values found before 2013-03-14 13:31:00 and after 2013-03-15 06:44:00: [29126 29127 29128 29129 29130] INFO 2020-05-29 04:58:00,437Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:08 2013'] INFO 2020-05-29 04:58:00,438Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.36332984e+09 1.36332984e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09] for variable mole_concentration_of_nitrate_in_sea_water INFO 2020-05-29 04:58:00,809Z lrauvNc4ToNetcdf.py processResampleNc4File():1083 Found in group ISUS parameter mole_concentration_of_nitrate_in_sea_water renaming to nitrate INFO 2020-05-29 04:58:00,879Z lrauvNc4ToNetcdf.py createSeries():240 mass_concentration_of_chlorophyll_in_sea_water: v_t values found before 2013-03-14 13:31:00 and after 2013-03-15 06:44:00: [652824 652825 652826 652827 652828 652829 652830 652831 652832 652833 652834 652835 652836 652837 652838 652839 652840 652841 652842 652843 652844 652845 652846 652847 652848 652849 652850 652851 652852 652853 652854 652855 652856 652857 652858 652859 652860 652861 652862 652863 652864 652865 652866 652867 652868 652869 652870 652871 652872 652873 652874 652875 652876 652877 652878 652879 652880 652881 652882 652883 652884 652885 652886 652887 652888 652889 652890 652891 652892 652893 652894 652895 652896 652897 652898 652899 652900 652901 652902 652903 652904 652905 652906 652907 652908 652909 652910 652911 652912 652913 652914 652915 652916 652917 652918 652919] INFO 2020-05-29 04:58:00,880Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013'] INFO 2020-05-29 04:58:00,882Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09] for variable mass_concentration_of_chlorophyll_in_sea_water INFO 2020-05-29 04:58:08,679Z lrauvNc4ToNetcdf.py processResampleNc4File():1083 Found in group WetLabsBB2FL parameter mass_concentration_of_chlorophyll_in_sea_water renaming to chlorophyll INFO 2020-05-29 04:58:08,740Z lrauvNc4ToNetcdf.py createSeries():240 Output470: v_t values found before 2013-03-14 13:31:00 and after 2013-03-15 06:44:00: [652824 652825 652826 652827 652828 652829 652830 652831 652832 652833 652834 652835 652836 652837 652838 652839 652840 652841 652842 652843 652844 652845 652846 652847 652848 652849 652850 652851 652852 652853 652854 652855 652856 652857 652858 652859 652860 652861 652862 652863 652864 652865 652866 652867 652868 652869 652870 652871 652872 652873 652874 652875 652876 652877 652878 652879 652880 652881 652882 652883 652884 652885 652886 652887 652888 652889 652890 652891 652892 652893 652894 652895 652896 652897 652898 652899 652900 652901 652902 652903 652904 652905 652906 652907 652908 652909 652910 652911 652912 652913 652914 652915 652916 652917 652918 652919] INFO 2020-05-29 04:58:08,742Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013'] INFO 2020-05-29 04:58:08,743Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09] for variable Output470 INFO 2020-05-29 04:58:16,557Z lrauvNc4ToNetcdf.py processResampleNc4File():1083 Found in group WetLabsBB2FL parameter Output470 renaming to bbp470 INFO 2020-05-29 04:58:16,617Z lrauvNc4ToNetcdf.py createSeries():240 Output650: v_t values found before 2013-03-14 13:31:00 and after 2013-03-15 06:44:00: [652824 652825 652826 652827 652828 652829 652830 652831 652832 652833 652834 652835 652836 652837 652838 652839 652840 652841 652842 652843 652844 652845 652846 652847 652848 652849 652850 652851 652852 652853 652854 652855 652856 652857 652858 652859 652860 652861 652862 652863 652864 652865 652866 652867 652868 652869 652870 652871 652872 652873 652874 652875 652876 652877 652878 652879 652880 652881 652882 652883 652884 652885 652886 652887 652888 652889 652890 652891 652892 652893 652894 652895 652896 652897 652898 652899 652900 652901 652902 652903 652904 652905 652906 652907 652908 652909 652910 652911 652912 652913 652914 652915 652916 652917 652918 652919] INFO 2020-05-29 04:58:16,618Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:00 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:01 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:02 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:03 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:04 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:05 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:06 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:07 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013', 'Fri Mar 15 06:44:08 2013'] INFO 2020-05-29 04:58:16,620Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332984e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09 1.36332985e+09] for variable Output650 INFO 2020-05-29 04:58:24,409Z lrauvNc4ToNetcdf.py processResampleNc4File():1083 Found in group WetLabsBB2FL parameter Output650 renaming to bbp650 INFO 2020-05-29 04:58:24,410Z lrauvNc4ToNetcdf.py nudge_coords():624 /mbari/LRAUV/tethys/missionlogs/2013/20130313_20130320/20130314T133105/201303141331_201303150644.nc4 DEBUG 2020-05-29 04:58:26,202Z lrauvNc4ToNetcdf.py var_series():612 longitude: rad_to_deg = True DEBUG 2020-05-29 04:58:27,989Z lrauvNc4ToNetcdf.py var_series():612 latitude: rad_to_deg = True DEBUG 2020-05-29 04:58:28,015Z lrauvNc4ToNetcdf.py var_series():612 longitude_fix: rad_to_deg = True DEBUG 2020-05-29 04:58:28,036Z lrauvNc4ToNetcdf.py var_series():612 latitude_fix: rad_to_deg = True INFO 2020-05-29 04:58:28,037Z 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 2020-05-29 04:58:28,039Z lrauvNc4ToNetcdf.py nudge_coords():658 - - - 11 0.07 - - - INFO 2020-05-29 04:58:28,054Z lrauvNc4ToNetcdf.py nudge_coords():680 0: 0.374 0.0000000 0.0000003 151 1.02 -0.03 0.06 2013-03-14 13:33:03.399744034 INFO 2020-05-29 04:58:28,060Z lrauvNc4ToNetcdf.py nudge_coords():680 1: 0.365 -0.0000237 -0.0000130 245 1.84 0.73 -1.31 2013-03-14 13:34:54.437700033 INFO 2020-05-29 04:58:28,065Z lrauvNc4ToNetcdf.py nudge_coords():680 2: 0.189 0.0000000 0.0000000 164 5.80 -0.00 0.00 2013-03-14 13:40:43.046080112 INFO 2020-05-29 04:58:28,070Z lrauvNc4ToNetcdf.py nudge_coords():680 3: 0.309 0.0000061 -0.0000037 46 0.31 1.26 -2.25 2013-03-14 13:41:01.889652014 INFO 2020-05-29 04:58:28,076Z lrauvNc4ToNetcdf.py nudge_coords():680 4: 0.367 0.0000200 -0.0000054 76 0.54 1.05 -1.87 2013-03-14 13:41:35.303944111 INFO 2020-05-29 04:58:28,081Z lrauvNc4ToNetcdf.py nudge_coords():680 5: 0.365 0.0004718 0.0000864 1836 12.45 -0.73 1.29 2013-03-14 13:54:02.869796038 INFO 2020-05-29 04:58:28,086Z lrauvNc4ToNetcdf.py nudge_coords():680 6: 0.376 0.0000580 -0.0000386 457 3.22 1.25 -2.22 2013-03-14 13:57:16.917792082 INFO 2020-05-29 04:58:28,091Z lrauvNc4ToNetcdf.py nudge_coords():680 7: 0.371 0.0000065 0.0000018 14 0.09 -2.06 3.65 2013-03-14 13:57:23.518376112 INFO 2020-05-29 04:58:28,097Z lrauvNc4ToNetcdf.py nudge_coords():680 8: 0.361 0.0000142 0.0000131 197 1.43 -0.96 1.70 2013-03-14 13:58:49.968764067 INFO 2020-05-29 04:58:28,102Z lrauvNc4ToNetcdf.py nudge_coords():680 9: 0.434 0.0016086 -0.0004274 9080 62.40 0.72 -1.27 2013-03-14 15:01:14.752959967 INFO 2020-05-29 04:58:28,108Z lrauvNc4ToNetcdf.py nudge_coords():680 10: 0.217 0.0000000 0.0000000 147 1.07 -0.00 0.00 2013-03-14 15:02:24.017407894 INFO 2020-05-29 04:58:28,114Z lrauvNc4ToNetcdf.py nudge_coords():680 11: 0.307 0.0017140 -0.0002977 9017 61.92 0.50 -0.89 2013-03-14 16:04:19.458868027 INFO 2020-05-29 04:58:28,119Z lrauvNc4ToNetcdf.py nudge_coords():680 12: 0.089 0.0000000 0.0000000 557 4.17 -0.00 0.00 2013-03-14 16:08:36.024575949 INFO 2020-05-29 04:58:28,125Z lrauvNc4ToNetcdf.py nudge_coords():680 13: 0.358 -0.0004272 0.0002014 1858 12.89 -1.63 2.89 2013-03-14 16:21:30.094212055 INFO 2020-05-29 04:58:28,130Z lrauvNc4ToNetcdf.py nudge_coords():680 14: 0.350 0.0000386 0.0000354 583 4.32 -0.86 1.52 2013-03-14 16:25:51.138263941 INFO 2020-05-29 04:58:28,136Z lrauvNc4ToNetcdf.py nudge_coords():680 15: 0.367 0.0029925 0.0008487 7300 50.88 -1.80 3.09 2013-03-14 17:16:44.772880077 INFO 2020-05-29 04:58:28,142Z lrauvNc4ToNetcdf.py nudge_coords():680 16: 0.246 0.0000000 0.0000000 238 1.88 -0.00 0.00 2013-03-14 17:18:43.028671980 INFO 2020-05-29 04:58:28,147Z lrauvNc4ToNetcdf.py nudge_coords():680 17: 0.310 0.0021312 0.0007458 4424 30.79 -2.67 4.49 2013-03-14 17:49:30.542592049 INFO 2020-05-29 04:58:28,153Z lrauvNc4ToNetcdf.py nudge_coords():680 18: 0.199 0.0000000 0.0000000 259 1.95 -0.00 0.00 2013-03-14 17:51:31.020479918 INFO 2020-05-29 04:58:28,158Z lrauvNc4ToNetcdf.py nudge_coords():680 19: 0.438 -0.0000890 -0.0023114 6440 44.74 5.54 -9.57 2013-03-14 18:36:15.773099899 INFO 2020-05-29 04:58:28,164Z lrauvNc4ToNetcdf.py nudge_coords():680 20: 0.392 0.0001805 -0.0000063 280 2.13 0.32 -0.55 2013-03-14 18:38:27.598007917 INFO 2020-05-29 04:58:28,169Z lrauvNc4ToNetcdf.py nudge_coords():680 21: 0.324 0.0005039 -0.0023612 7304 50.38 4.88 -8.69 2013-03-14 19:28:51.689435959 INFO 2020-05-29 04:58:28,176Z lrauvNc4ToNetcdf.py nudge_coords():680 22: 0.106 -0.0000015 -0.0000005 430 3.08 0.02 -0.03 2013-03-14 19:32:01.735599995 INFO 2020-05-29 04:58:28,181Z lrauvNc4ToNetcdf.py nudge_coords():680 23: 0.372 0.0044143 -0.0024917 7886 54.32 4.61 -8.50 2013-03-14 20:26:21.564863920 INFO 2020-05-29 04:58:28,187Z lrauvNc4ToNetcdf.py nudge_coords():680 24: 0.073 0.0000000 0.0000000 416 3.13 -0.00 0.00 2013-03-14 20:29:36.016383886 INFO 2020-05-29 04:58:28,193Z lrauvNc4ToNetcdf.py nudge_coords():680 25: 0.376 0.0164771 -0.0037901 13925 95.28 4.00 -7.37 2013-03-14 22:04:53.398231983 INFO 2020-05-29 04:58:28,200Z lrauvNc4ToNetcdf.py nudge_coords():680 26: 0.008 0.0000000 0.0000000 480 3.60 -0.00 0.00 2013-03-14 22:08:39.018431902 INFO 2020-05-29 04:58:28,205Z lrauvNc4ToNetcdf.py nudge_coords():680 27: 0.297 0.0079117 0.0010999 8464 58.28 -1.98 3.50 2013-03-14 23:06:56.131304025 INFO 2020-05-29 04:58:28,211Z lrauvNc4ToNetcdf.py nudge_coords():680 28: 0.361 0.0002039 -0.0000921 450 3.29 2.93 -5.19 2013-03-14 23:10:19.232424021 INFO 2020-05-29 04:58:28,217Z lrauvNc4ToNetcdf.py nudge_coords():680 29: 0.006 0.0000000 0.0000000 15 0.10 -0.00 0.00 2013-03-14 23:10:26.014336109 INFO 2020-05-29 04:58:28,222Z lrauvNc4ToNetcdf.py nudge_coords():680 30: 0.403 0.0000000 0.0000000 102 0.69 -0.00 0.00 2013-03-14 23:11:08.020479918 INFO 2020-05-29 04:58:28,227Z lrauvNc4ToNetcdf.py nudge_coords():680 31: 0.430 0.0003167 -0.0009850 3960 27.36 3.73 -6.67 2013-03-14 23:38:30.276420116 INFO 2020-05-29 04:58:28,233Z lrauvNc4ToNetcdf.py nudge_coords():680 32: 0.403 0.0004805 -0.0002192 475 3.54 6.41 -11.48 2013-03-14 23:42:06.386831999 INFO 2020-05-29 04:58:28,239Z lrauvNc4ToNetcdf.py nudge_coords():680 33: 0.392 0.0049022 0.0013729 11824 81.68 -1.81 3.11 2013-03-15 01:03:48.137648106 INFO 2020-05-29 04:58:28,246Z lrauvNc4ToNetcdf.py nudge_coords():680 34: 0.419 0.0001405 -0.0000332 557 4.29 0.84 -1.44 2013-03-15 01:08:13.362992048 INFO 2020-05-29 04:58:28,252Z lrauvNc4ToNetcdf.py nudge_coords():680 35: 0.269 0.0024021 0.0009962 5039 35.04 -3.13 5.27 2013-03-15 01:43:16.340260029 INFO 2020-05-29 04:58:28,258Z lrauvNc4ToNetcdf.py nudge_coords():680 36: 0.388 0.0001202 -0.0000550 430 3.18 1.90 -3.21 2013-03-15 01:46:30.546920061 INFO 2020-05-29 04:58:28,264Z lrauvNc4ToNetcdf.py nudge_coords():680 37: 0.343 0.0000993 -0.0023712 6199 42.94 5.92 -10.23 2013-03-15 02:29:27.281608105 INFO 2020-05-29 04:58:28,271Z lrauvNc4ToNetcdf.py nudge_coords():680 38: 0.291 0.0000672 -0.0000034 411 3.05 0.12 -0.21 2013-03-15 02:32:35.114887953 INFO 2020-05-29 04:58:28,277Z lrauvNc4ToNetcdf.py nudge_coords():680 39: 0.292 0.0003875 -0.0024310 6488 44.88 5.63 -10.04 2013-03-15 03:17:28.572488070 INFO 2020-05-29 04:58:28,283Z lrauvNc4ToNetcdf.py nudge_coords():680 40: 0.371 0.0000299 -0.0001017 553 4.31 2.45 -4.37 2013-03-15 03:21:51.582936049 INFO 2020-05-29 04:58:28,289Z lrauvNc4ToNetcdf.py nudge_coords():680 41: 0.399 0.0025060 -0.0024332 7796 53.57 4.56 -8.42 2013-03-15 04:15:26.274960041 INFO 2020-05-29 04:58:28,296Z lrauvNc4ToNetcdf.py nudge_coords():680 42: 0.393 0.0000599 -0.0000911 423 3.11 2.94 -5.43 2013-03-15 04:18:38.420831919 INFO 2020-05-29 04:58:28,302Z lrauvNc4ToNetcdf.py nudge_coords():680 43: 0.377 0.0079800 -0.0004940 13015 89.04 0.56 -1.03 2013-03-15 05:47:42.445307970 INFO 2020-05-29 04:58:28,309Z lrauvNc4ToNetcdf.py nudge_coords():680 44: 0.298 0.0000954 0.0002467 754 5.76 -4.33 7.94 2013-03-15 05:53:35.600136042 INFO 2020-05-29 04:58:28,316Z lrauvNc4ToNetcdf.py nudge_coords():680 45: 0.362 0.0029237 0.0021093 7162 49.37 -4.48 7.92 2013-03-15 06:42:59.499720097 INFO 2020-05-29 04:58:28,322Z lrauvNc4ToNetcdf.py nudge_coords():710 47: - - - 148 1.10 - - INFO 2020-05-29 04:58:28,322Z lrauvNc4ToNetcdf.py nudge_coords():714 Points in final series = 148086 DEBUG 2020-05-29 04:58:28,324Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():540 Constructing trackingdb url to 3600 seconds beyond time range of file INFO 2020-05-29 04:58:28,334Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():548 http://odss.mbari.org/trackingdb/position/tethys_ac/between/20130314T123118/20130315T074237/data.csv INFO 2020-05-29 04:58:28,414Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():571 Found 0 position values from the Tracking database WARNING 2020-05-29 04:58:28,421Z lrauvNc4ToNetcdf.py processResampleNc4File():1125 Interpolated 'time' variable has 89 repeated values at indices [1190 1191 1192 1193 1194 1195 1196 1197 1198 1199 1200 1201 2185 2186 2187 2188 2189 2190 2191 2192 2193 2194 2195 2196 2198 2199 2202 2203 3169 3170 3171 3172 3173 3174 3175 3176 3177 3178 3179 4159 4160 4161 4162 4163 4164 4165 4166 4167 4168 4169 5156 5157 5158 5159 5160 5161 5162 5163 5164 5165 5166 5167 5169 5170 5171 5173 5174 6141 6142 6143 6144 6145 6146 6147 6148 6149 6150 6151 6152 6154 6155 6156 6157 6158 6159 6160 6161 6162 6163] INFO 2020-05-29 04:58:28,422Z lrauvNc4ToNetcdf.py processResampleNc4File():1126 Overwriting interpolated repeated values with time's index values INFO 2020-05-29 04:58:28,423Z lrauvNc4ToNetcdf.py processResampleNc4File():1141 ['PAR', 'oxygen', 'salinity', 'temperature', 'nitrate', 'chlorophyll', 'bbp470', 'bbp650', 'latitude', 'longitude', 'depth', 'time'] DEBUG 2020-05-29 04:58:28,426Z lrauvNc4ToNetcdf.py write_netcdf():130 Creating netCDF file /mbari/LRAUV/tethys/missionlogs/2013/20130313_20130320/20130314T133105/201303141331_201303150644_10S_sci.nc DEBUG 2020-05-29 04:58:28,496Z lrauvNc4ToNetcdf.py write_netcdf():155 Adding in record variable time DEBUG 2020-05-29 04:58:28,566Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable PAR DEBUG 2020-05-29 04:58:28,573Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable oxygen DEBUG 2020-05-29 04:58:28,580Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable salinity DEBUG 2020-05-29 04:58:28,588Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable temperature DEBUG 2020-05-29 04:58:28,595Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable nitrate DEBUG 2020-05-29 04:58:28,601Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable chlorophyll DEBUG 2020-05-29 04:58:28,609Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable bbp470 DEBUG 2020-05-29 04:58:28,616Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable bbp650 DEBUG 2020-05-29 04:58:28,632Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable latitude DEBUG 2020-05-29 04:58:28,640Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable longitude DEBUG 2020-05-29 04:58:28,647Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable depth DEBUG 2020-05-29 04:58:28,655Z lrauvNc4ToNetcdf.py write_netcdf():174 Adding in global metadata INFO 2020-05-29 04:58:28,817Z lrauvNc4ToNetcdf.py processResampleNc4File():1144 Wrote /mbari/LRAUV/tethys/missionlogs/2013/20130313_20130320/20130314T133105/201303141331_201303150644_10S_sci.nc