INFO 2019-11-05 02:16:07,262Z lrauvNc4ToNetcdf.py processResampleNc4File():979 Reading /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 file... INFO 2019-11-05 02:16:07,263Z lrauvNc4ToNetcdf.py processResampleNc4File():980 After copying to /tmp/201911042258_201911042333.nc4 INFO 2019-11-05 02:16:08,257Z lrauvNc4ToNetcdf.py processResampleNc4File():982 Read file /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 INFO 2019-11-05 02:16:08,276Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2019-11-04 22:58:00 and after 2019-11-04 23:33:00: [5087 5088 5089 5090 5091 5092 5093 5094 5095 5096 5097 5098 5099 5100 5101 5102 5103 5104 5105 5106 5107] INFO 2019-11-05 02:16:08,283Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:08 2019'] INFO 2019-11-05 02:16:08,290Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09] for variable latitude INFO 2019-11-05 02:16:08,378Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2019-11-04 22:58:00 and after 2019-11-04 23:33:00: [5087 5088 5089 5090 5091 5092 5093 5094 5095 5096 5097 5098 5099 5100 5101 5102 5103 5104 5105 5106 5107] INFO 2019-11-05 02:16:08,385Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:08 2019'] INFO 2019-11-05 02:16:08,393Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09] for variable longitude INFO 2019-11-05 02:16:08,479Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2019-11-04 22:58:00 and after 2019-11-04 23:33:00: [5087 5088 5089 5090 5091 5092 5093 5094 5095 5096 5097 5098 5099 5100 5101 5102 5103 5104 5105 5106 5107 5108] INFO 2019-11-05 02:16:08,486Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:08 2019', 'Mon Nov 4 23:33:08 2019'] INFO 2019-11-05 02:16:08,494Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09] for variable depth INFO 2019-11-05 02:16:08,580Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2019-11-04 22:58:00 and after 2019-11-04 23:33:00: [5086 5087 5088 5089 5090 5091 5092 5093 5094 5095 5096 5097 5098 5099 5100 5101 5102 5103 5104 5105 5106 5107] INFO 2019-11-05 02:16:08,587Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:08 2019', 'Mon Nov 4 23:33:08 2019'] INFO 2019-11-05 02:16:08,594Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09] for variable time INFO 2019-11-05 02:16:08,679Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2019-11-04 22:58:00 and after 2019-11-04 23:33:00: [5087 5088 5089 5090 5091 5092 5093 5094 5095 5096 5097 5098 5099 5100 5101 5102 5103 5104 5105 5106 5107] INFO 2019-11-05 02:16:08,687Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:08 2019'] INFO 2019-11-05 02:16:08,694Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09] for variable latitude INFO 2019-11-05 02:16:08,779Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2019-11-04 22:58:00 and after 2019-11-04 23:33:00: [5087 5088 5089 5090 5091 5092 5093 5094 5095 5096 5097 5098 5099 5100 5101 5102 5103 5104 5105 5106 5107] INFO 2019-11-05 02:16:08,786Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:08 2019'] INFO 2019-11-05 02:16:08,793Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09] for variable longitude INFO 2019-11-05 02:16:08,879Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2019-11-04 22:58:00 and after 2019-11-04 23:33:00: [5087 5088 5089 5090 5091 5092 5093 5094 5095 5096 5097 5098 5099 5100 5101 5102 5103 5104 5105 5106 5107 5108] INFO 2019-11-05 02:16:08,886Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:08 2019', 'Mon Nov 4 23:33:08 2019'] INFO 2019-11-05 02:16:08,893Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09] for variable depth INFO 2019-11-05 02:16:08,978Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2019-11-04 22:58:00 and after 2019-11-04 23:33:00: [5086 5087 5088 5089 5090 5091 5092 5093 5094 5095 5096 5097 5098 5099 5100 5101 5102 5103 5104 5105 5106 5107] INFO 2019-11-05 02:16:08,986Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:08 2019', 'Mon Nov 4 23:33:08 2019'] INFO 2019-11-05 02:16:08,993Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09] for variable time INFO 2019-11-05 02:16:09,078Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2019-11-04 22:58:00 and after 2019-11-04 23:33:00: [5087 5088 5089 5090 5091 5092 5093 5094 5095 5096 5097 5098 5099 5100 5101 5102 5103 5104 5105 5106 5107] INFO 2019-11-05 02:16:09,085Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:08 2019'] INFO 2019-11-05 02:16:09,092Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09] for variable latitude INFO 2019-11-05 02:16:09,178Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2019-11-04 22:58:00 and after 2019-11-04 23:33:00: [5087 5088 5089 5090 5091 5092 5093 5094 5095 5096 5097 5098 5099 5100 5101 5102 5103 5104 5105 5106 5107] INFO 2019-11-05 02:16:09,185Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:08 2019'] INFO 2019-11-05 02:16:09,192Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09] for variable longitude INFO 2019-11-05 02:16:09,277Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2019-11-04 22:58:00 and after 2019-11-04 23:33:00: [5087 5088 5089 5090 5091 5092 5093 5094 5095 5096 5097 5098 5099 5100 5101 5102 5103 5104 5105 5106 5107 5108] INFO 2019-11-05 02:16:09,284Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:08 2019', 'Mon Nov 4 23:33:08 2019'] INFO 2019-11-05 02:16:09,291Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09] for variable depth INFO 2019-11-05 02:16:09,377Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2019-11-04 22:58:00 and after 2019-11-04 23:33:00: [5086 5087 5088 5089 5090 5091 5092 5093 5094 5095 5096 5097 5098 5099 5100 5101 5102 5103 5104 5105 5106 5107] INFO 2019-11-05 02:16:09,384Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:08 2019', 'Mon Nov 4 23:33:08 2019'] INFO 2019-11-05 02:16:09,391Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09] for variable time INFO 2019-11-05 02:16:09,476Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2019-11-04 22:58:00 and after 2019-11-04 23:33:00: [5087 5088 5089 5090 5091 5092 5093 5094 5095 5096 5097 5098 5099 5100 5101 5102 5103 5104 5105 5106 5107] INFO 2019-11-05 02:16:09,483Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:08 2019'] INFO 2019-11-05 02:16:09,490Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09] for variable latitude INFO 2019-11-05 02:16:09,575Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2019-11-04 22:58:00 and after 2019-11-04 23:33:00: [5087 5088 5089 5090 5091 5092 5093 5094 5095 5096 5097 5098 5099 5100 5101 5102 5103 5104 5105 5106 5107] INFO 2019-11-05 02:16:09,582Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:08 2019'] INFO 2019-11-05 02:16:09,589Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09] for variable longitude INFO 2019-11-05 02:16:09,674Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2019-11-04 22:58:00 and after 2019-11-04 23:33:00: [5087 5088 5089 5090 5091 5092 5093 5094 5095 5096 5097 5098 5099 5100 5101 5102 5103 5104 5105 5106 5107 5108] INFO 2019-11-05 02:16:09,681Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:08 2019', 'Mon Nov 4 23:33:08 2019'] INFO 2019-11-05 02:16:09,688Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09] for variable depth INFO 2019-11-05 02:16:09,774Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2019-11-04 22:58:00 and after 2019-11-04 23:33:00: [5086 5087 5088 5089 5090 5091 5092 5093 5094 5095 5096 5097 5098 5099 5100 5101 5102 5103 5104 5105 5106 5107] INFO 2019-11-05 02:16:09,781Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:08 2019', 'Mon Nov 4 23:33:08 2019'] INFO 2019-11-05 02:16:09,788Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09] for variable time INFO 2019-11-05 02:16:09,860Z lrauvNc4ToNetcdf.py processResampleNc4File():987 Creating t variable of the time indexes INFO 2019-11-05 02:16:09,885Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group BuoyancyServo parameter platform_buoyancy_position renaming to control_inputs_buoyancy_position INFO 2019-11-05 02:16:09,904Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group ElevatorServo parameter platform_elevator_angle renaming to control_inputs_elevator_angle INFO 2019-11-05 02:16:09,915Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group MassServo parameter platform_mass_position renaming to control_inputs_mass_position INFO 2019-11-05 02:16:09,922Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group NAL9602 parameter time_fix renaming to fix_time INFO 2019-11-05 02:16:09,928Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group NAL9602 parameter latitude_fix renaming to fix_latitude INFO 2019-11-05 02:16:09,934Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group NAL9602 parameter longitude_fix renaming to fix_longitude INFO 2019-11-05 02:16:09,966Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group RudderServo parameter platform_rudder_angle renaming to control_inputs_rudder_angle INFO 2019-11-05 02:16:10,049Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group ThrusterServo parameter platform_propeller_rotation_rate renaming to control_inputs_propeller_rotation_rate INFO 2019-11-05 02:16:10,051Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable fix_residual_percent_distance_traveled empty so skipping INFO 2019-11-05 02:16:10,053Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2019-11-04 22:58:00 and after 2019-11-04 23:33:00: [5087 5088 5089 5090 5091 5092 5093 5094 5095 5096 5097 5098 5099 5100 5101 5102 5103 5104 5105 5106 5107] INFO 2019-11-05 02:16:10,054Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:08 2019'] INFO 2019-11-05 02:16:10,055Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09] for variable longitude INFO 2019-11-05 02:16:10,122Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter longitude renaming to pose_longitude_DeadReckonUsingMultipleVelocitySources INFO 2019-11-05 02:16:10,124Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2019-11-04 22:58:00 and after 2019-11-04 23:33:00: [5087 5088 5089 5090 5091 5092 5093 5094 5095 5096 5097 5098 5099 5100 5101 5102 5103 5104 5105 5106 5107] INFO 2019-11-05 02:16:10,125Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:08 2019'] INFO 2019-11-05 02:16:10,126Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09] for variable latitude INFO 2019-11-05 02:16:10,193Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter latitude renaming to pose_latitude_DeadReckonUsingMultipleVelocitySources INFO 2019-11-05 02:16:10,195Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2019-11-04 22:58:00 and after 2019-11-04 23:33:00: [5087 5088 5089 5090 5091 5092 5093 5094 5095 5096 5097 5098 5099 5100 5101 5102 5103 5104 5105 5106 5107] INFO 2019-11-05 02:16:10,196Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:08 2019'] INFO 2019-11-05 02:16:10,197Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09] for variable depth INFO 2019-11-05 02:16:10,264Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter depth renaming to pose_depth_DeadReckonUsingMultipleVelocitySources WARNING 2019-11-05 02:16:10,265Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'fix_residual_percent_distance_traveled' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 WARNING 2019-11-05 02:16:10,265Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'longitude' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 WARNING 2019-11-05 02:16:10,265Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'latitude' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 WARNING 2019-11-05 02:16:10,265Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'depth' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 INFO 2019-11-05 02:16:10,275Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group BPC1 parameter platform_battery_charge renaming to health_platform_battery_charge INFO 2019-11-05 02:16:10,284Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group BPC1 parameter platform_battery_voltage renaming to health_platform_average_voltage WARNING 2019-11-05 02:16:10,285Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'platform_average_current' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 INFO 2019-11-05 02:16:10,302Z lrauvNc4ToNetcdf.py createSeries():225 platform_pitch_angle: v_t values found before 2019-11-04 22:58:00 and after 2019-11-04 23:33:00: [4945 4947 4948 4949 4950 4951 4952 4953 4954 4955 4956 4957 4958 4959 4960 4961 4962 4963 4964 4965 4966] INFO 2019-11-05 02:16:10,368Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:08 2019', 'Mon Nov 4 23:33:07 2019'] INFO 2019-11-05 02:16:10,432Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09] for variable platform_pitch_angle DEBUG 2019-11-05 02:16:10,504Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for pitch DEBUG 2019-11-05 02:16:10,508Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for pitch INFO 2019-11-05 02:16:10,509Z lrauvNc4ToNetcdf.py createNav():489 platform_pitch_angle -> pitch: {'units': 'rad', 'standard_name': 'platform_pitch_angle', 'coordinates': 'time depth latitude longitude'} INFO 2019-11-05 02:16:10,525Z lrauvNc4ToNetcdf.py createSeries():225 platform_roll_angle: v_t values found before 2019-11-04 22:58:00 and after 2019-11-04 23:33:00: [4945 4947 4948 4949 4950 4951 4952 4953 4954 4955 4956 4957 4958 4959 4960 4961 4962 4963 4964 4965 4966] INFO 2019-11-05 02:16:10,590Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:08 2019', 'Mon Nov 4 23:33:07 2019'] INFO 2019-11-05 02:16:10,655Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09] for variable platform_roll_angle DEBUG 2019-11-05 02:16:10,726Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for roll DEBUG 2019-11-05 02:16:10,730Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for roll INFO 2019-11-05 02:16:10,730Z lrauvNc4ToNetcdf.py createNav():489 platform_roll_angle -> roll: {'units': 'rad', 'standard_name': 'platform_roll_angle', 'coordinates': 'time depth latitude longitude'} INFO 2019-11-05 02:16:10,746Z lrauvNc4ToNetcdf.py createSeries():225 platform_orientation: v_t values found before 2019-11-04 22:58:00 and after 2019-11-04 23:33:00: [4945 4947 4948 4949 4950 4951 4952 4953 4954 4955 4956 4957 4958 4959 4960 4961 4962 4963 4964 4965 4966] INFO 2019-11-05 02:16:10,811Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:01 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:02 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:03 2019', 'Mon Nov 4 23:33:04 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:05 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:06 2019', 'Mon Nov 4 23:33:07 2019', 'Mon Nov 4 23:33:08 2019', 'Mon Nov 4 23:33:07 2019'] INFO 2019-11-05 02:16:10,876Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291038e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09 1.57291039e+09] for variable platform_orientation DEBUG 2019-11-05 02:16:10,947Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for yaw DEBUG 2019-11-05 02:16:10,951Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for yaw INFO 2019-11-05 02:16:10,951Z lrauvNc4ToNetcdf.py createNav():489 platform_orientation -> yaw: {'units': 'rad', 'standard_name': 'platform_yaw_angle', 'coordinates': 'time depth latitude longitude'} INFO 2019-11-05 02:16:10,952Z lrauvNc4ToNetcdf.py nudge_coords():609 /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 DEBUG 2019-11-05 02:16:11,047Z lrauvNc4ToNetcdf.py var_series():597 longitude: rad_to_deg = True DEBUG 2019-11-05 02:16:11,142Z lrauvNc4ToNetcdf.py var_series():597 latitude: rad_to_deg = True DEBUG 2019-11-05 02:16:11,176Z lrauvNc4ToNetcdf.py var_series():597 longitude_fix: rad_to_deg = False DEBUG 2019-11-05 02:16:11,209Z lrauvNc4ToNetcdf.py var_series():597 latitude_fix: rad_to_deg = False INFO 2019-11-05 02:16:11,210Z lrauvNc4ToNetcdf.py nudge_coords():627 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 2019-11-05 02:16:11,212Z lrauvNc4ToNetcdf.py nudge_coords():643 - - - 623 4.19 - - - INFO 2019-11-05 02:16:11,214Z lrauvNc4ToNetcdf.py nudge_coords():665 0: 0.366 0.0001671 -0.0000283 265 1.78 -1.85 -2.95 2019-11-04 23:04:41.774668932 INFO 2019-11-05 02:16:11,221Z lrauvNc4ToNetcdf.py nudge_coords():665 1: 0.321 0.0001148 -0.0000156 261 1.75 -1.04 -1.65 2019-11-04 23:06:27.260351896 INFO 2019-11-05 02:16:11,227Z lrauvNc4ToNetcdf.py nudge_coords():695 3: - - - 3959 26.68 - - INFO 2019-11-05 02:16:11,227Z lrauvNc4ToNetcdf.py nudge_coords():699 Points in final series = 5108 DEBUG 2019-11-05 02:16:11,228Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():525 Constructing trackingdb url to 3600 seconds beyond time range of file INFO 2019-11-05 02:16:11,242Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():533 http://odss.mbari.org/trackingdb/position/whoidhs_ac/between/20191104T215843/20191105T003308/data.csv INFO 2019-11-05 02:16:11,262Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():556 Found 0 position values from the Tracking database INFO 2019-11-05 02:16:11,266Z lrauvNc4ToNetcdf.py processResampleNc4File():1120 ['control_inputs_buoyancy_position', 'control_inputs_elevator_angle', 'control_inputs_mass_position', 'fix_time', 'fix_latitude', 'fix_longitude', 'control_inputs_rudder_angle', 'control_inputs_propeller_rotation_rate', 'pose_longitude_DeadReckonUsingMultipleVelocitySources', 'pose_latitude_DeadReckonUsingMultipleVelocitySources', 'pose_depth_DeadReckonUsingMultipleVelocitySources', 'health_platform_battery_charge', 'health_platform_average_voltage', 'pitch', 'roll', 'yaw', 'latitude', 'longitude', 'depth', 'time'] DEBUG 2019-11-05 02:16:11,266Z lrauvNc4ToNetcdf.py write_netcdf():120 Creating netCDF file /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333_2S_eng.nc DEBUG 2019-11-05 02:16:11,271Z lrauvNc4ToNetcdf.py write_netcdf():144 Adding in record variable fix_time DEBUG 2019-11-05 02:16:11,286Z lrauvNc4ToNetcdf.py write_netcdf():144 Adding in record variable time DEBUG 2019-11-05 02:16:11,298Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_buoyancy_position DEBUG 2019-11-05 02:16:11,310Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_elevator_angle DEBUG 2019-11-05 02:16:11,322Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_mass_position DEBUG 2019-11-05 02:16:11,335Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable fix_latitude DEBUG 2019-11-05 02:16:11,347Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable fix_longitude DEBUG 2019-11-05 02:16:11,359Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_rudder_angle DEBUG 2019-11-05 02:16:11,371Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_propeller_rotation_rate DEBUG 2019-11-05 02:16:11,387Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_longitude_DeadReckonUsingMultipleVelocitySources DEBUG 2019-11-05 02:16:11,400Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_latitude_DeadReckonUsingMultipleVelocitySources DEBUG 2019-11-05 02:16:11,417Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_depth_DeadReckonUsingMultipleVelocitySources DEBUG 2019-11-05 02:16:11,429Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable health_platform_battery_charge DEBUG 2019-11-05 02:16:11,441Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable health_platform_average_voltage DEBUG 2019-11-05 02:16:11,453Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pitch DEBUG 2019-11-05 02:16:11,465Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable roll DEBUG 2019-11-05 02:16:11,477Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable yaw DEBUG 2019-11-05 02:16:11,489Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable latitude DEBUG 2019-11-05 02:16:11,501Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable longitude DEBUG 2019-11-05 02:16:11,514Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable depth DEBUG 2019-11-05 02:16:11,526Z lrauvNc4ToNetcdf.py write_netcdf():163 Adding in global metadata INFO 2019-11-05 02:16:11,764Z lrauvNc4ToNetcdf.py processResampleNc4File():1123 Wrote /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333_2S_eng.nc