INFO 2019-11-05 02:08:24,355Z lrauvNc4ToNetcdf.py processResampleNc4File():979 Reading /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 file... INFO 2019-11-05 02:08:24,356Z lrauvNc4ToNetcdf.py processResampleNc4File():980 After copying to /tmp/201911042258_201911042333.nc4 INFO 2019-11-05 02:08:25,598Z lrauvNc4ToNetcdf.py processResampleNc4File():982 Read file /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 INFO 2019-11-05 02:08:25,619Z 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 02:08:25,628Z 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 02:08:25,636Z 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 02:08:25,724Z 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 02:08:25,733Z 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 02:08:25,742Z 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 02:08:25,830Z 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 02:08:25,838Z 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 02:08:25,847Z 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 02:08:25,935Z 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 02:08:25,944Z 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 02:08:25,952Z 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 02:08:26,039Z 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 02:08:26,048Z 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 02:08:26,056Z 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 02:08:26,143Z 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 02:08:26,151Z 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 02:08:26,159Z 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 02:08:26,246Z 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 02:08:26,254Z 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 02:08:26,262Z 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 02:08:26,351Z 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 02:08:26,359Z 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 02:08:26,367Z 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 02:08:26,454Z 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 02:08:26,463Z 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 02:08:26,471Z 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 02:08:26,559Z 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 02:08:26,570Z 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 02:08:26,580Z 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 02:08:26,668Z 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 02:08:26,676Z 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 02:08:26,684Z 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 02:08:26,771Z 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 02:08:26,780Z 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 02:08:26,788Z 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 02:08:26,876Z 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 02:08:26,884Z 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 02:08:26,892Z 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 02:08:26,979Z 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 02:08:26,987Z 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 02:08:26,995Z 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 02:08:27,082Z 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 02:08:27,090Z 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 02:08:27,098Z 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 02:08:27,185Z 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 02:08:27,193Z 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 02:08:27,201Z 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 02:08:27,273Z lrauvNc4ToNetcdf.py processResampleNc4File():987 Creating t variable of the time indexes WARNING 2019-11-05 02:08:27,278Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mass_concentration_of_oxygen_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 INFO 2019-11-05 02:08:27,298Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group BuoyancyServo parameter platform_buoyancy_position renaming to control_inputs_buoyancy_position INFO 2019-11-05 02:08:27,300Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable sea_water_salinity empty so skipping INFO 2019-11-05 02:08:27,303Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable sea_water_temperature empty so skipping WARNING 2019-11-05 02:08:27,303Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_salinity' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 WARNING 2019-11-05 02:08:27,304Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_temperature' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 INFO 2019-11-05 02:08:27,321Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group ElevatorServo parameter platform_elevator_angle renaming to control_inputs_elevator_angle WARNING 2019-11-05 02:08:27,322Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mole_concentration_of_nitrate_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 INFO 2019-11-05 02:08:27,333Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group MassServo parameter platform_mass_position renaming to control_inputs_mass_position INFO 2019-11-05 02:08:27,340Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group NAL9602 parameter time_fix renaming to fix_time INFO 2019-11-05 02:08:27,346Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group NAL9602 parameter latitude_fix renaming to fix_latitude INFO 2019-11-05 02:08:27,352Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group NAL9602 parameter longitude_fix renaming to fix_longitude INFO 2019-11-05 02:08:27,354Z lrauvNc4ToNetcdf.py createSeries():225 downwelling_photosynthetic_photon_flux_in_sea_water: 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 02:08:27,355Z 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 02:08:27,356Z 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 downwelling_photosynthetic_photon_flux_in_sea_water INFO 2019-11-05 02:08:27,421Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group PAR_Licor parameter downwelling_photosynthetic_photon_flux_in_sea_water renaming to PAR INFO 2019-11-05 02:08:27,453Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group RudderServo parameter platform_rudder_angle renaming to control_inputs_rudder_angle INFO 2019-11-05 02:08:27,532Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group ThrusterServo parameter platform_propeller_rotation_rate renaming to control_inputs_propeller_rotation_rate WARNING 2019-11-05 02:08:27,532Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mass_concentration_of_chlorophyll_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 WARNING 2019-11-05 02:08:27,532Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'Output470' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 WARNING 2019-11-05 02:08:27,532Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'Output650' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 INFO 2019-11-05 02:08:27,535Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable concentration_of_chromophoric_dissolved_organic_matter_in_sea_water empty so skipping INFO 2019-11-05 02:08:27,538Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable mass_concentration_of_chlorophyll_in_sea_water empty so skipping INFO 2019-11-05 02:08:27,540Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable BackscatteringCoeff700nm empty so skipping INFO 2019-11-05 02:08:27,543Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable VolumeScatCoeff117deg700nm empty so skipping INFO 2019-11-05 02:08:27,546Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable mass_concentration_of_petroleum_hydrocarbons_in_sea_water empty so skipping INFO 2019-11-05 02:08:27,548Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable fix_residual_percent_distance_traveled empty so skipping INFO 2019-11-05 02:08:27,550Z 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 02:08:27,551Z 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 02:08:27,552Z 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 02:08:27,617Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter longitude renaming to pose_longitude_DeadReckonUsingMultipleVelocitySources INFO 2019-11-05 02:08:27,619Z 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 02:08:27,620Z 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 02:08:27,621Z 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 02:08:27,686Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter latitude renaming to pose_latitude_DeadReckonUsingMultipleVelocitySources INFO 2019-11-05 02:08:27,687Z 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 02:08:27,688Z 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 02:08:27,689Z 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 02:08:27,756Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter depth renaming to pose_depth_DeadReckonUsingMultipleVelocitySources WARNING 2019-11-05 02:08:27,756Z 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 02:08:27,757Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'longitude' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 WARNING 2019-11-05 02:08:27,757Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'latitude' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 WARNING 2019-11-05 02:08:27,757Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'depth' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 INFO 2019-11-05 02:08:27,768Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group BPC1 parameter platform_battery_charge renaming to health_platform_battery_charge INFO 2019-11-05 02:08:27,777Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group BPC1 parameter platform_battery_voltage renaming to health_platform_average_voltage WARNING 2019-11-05 02:08:27,777Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'platform_average_current' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 INFO 2019-11-05 02:08:27,797Z 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 02:08:27,872Z 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 02:08:27,946Z 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 02:08:28,018Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for pitch DEBUG 2019-11-05 02:08:28,021Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for pitch INFO 2019-11-05 02:08:28,022Z lrauvNc4ToNetcdf.py createNav():489 platform_pitch_angle -> pitch: {'units': 'rad', 'standard_name': 'platform_pitch_angle', 'coordinates': 'time depth latitude longitude'} INFO 2019-11-05 02:08:28,041Z 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 02:08:28,115Z 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 02:08:28,189Z 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 02:08:28,262Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for roll DEBUG 2019-11-05 02:08:28,265Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for roll INFO 2019-11-05 02:08:28,266Z lrauvNc4ToNetcdf.py createNav():489 platform_roll_angle -> roll: {'units': 'rad', 'standard_name': 'platform_roll_angle', 'coordinates': 'time depth latitude longitude'} INFO 2019-11-05 02:08:28,285Z 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 02:08:28,359Z 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 02:08:28,433Z 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 02:08:28,504Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for yaw DEBUG 2019-11-05 02:08:28,508Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for yaw INFO 2019-11-05 02:08:28,509Z lrauvNc4ToNetcdf.py createNav():489 platform_orientation -> yaw: {'units': 'rad', 'standard_name': 'platform_yaw_angle', 'coordinates': 'time depth latitude longitude'} INFO 2019-11-05 02:08:28,509Z lrauvNc4ToNetcdf.py nudge_coords():609 /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 DEBUG 2019-11-05 02:08:28,607Z lrauvNc4ToNetcdf.py var_series():597 longitude: rad_to_deg = True DEBUG 2019-11-05 02:08:28,705Z lrauvNc4ToNetcdf.py var_series():597 latitude: rad_to_deg = True DEBUG 2019-11-05 02:08:28,744Z lrauvNc4ToNetcdf.py var_series():597 longitude_fix: rad_to_deg = False DEBUG 2019-11-05 02:08:28,782Z lrauvNc4ToNetcdf.py var_series():597 latitude_fix: rad_to_deg = False INFO 2019-11-05 02:08:28,782Z 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 02:08:28,785Z lrauvNc4ToNetcdf.py nudge_coords():643 - - - 623 4.19 - - - INFO 2019-11-05 02:08:28,787Z 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 02:08:28,793Z 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 02:08:28,799Z lrauvNc4ToNetcdf.py nudge_coords():695 3: - - - 3959 26.68 - - INFO 2019-11-05 02:08:28,800Z lrauvNc4ToNetcdf.py nudge_coords():699 Points in final series = 5108 DEBUG 2019-11-05 02:08:28,800Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():525 Constructing trackingdb url to 3600 seconds beyond time range of file INFO 2019-11-05 02:08:28,817Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():533 http://odss.mbari.org/trackingdb/position/whoidhs_ac/between/20191104T215843/20191105T003308/data.csv INFO 2019-11-05 02:08:28,832Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():556 Found 0 position values from the Tracking database INFO 2019-11-05 02:08:28,835Z lrauvNc4ToNetcdf.py processResampleNc4File():1120 ['control_inputs_buoyancy_position', 'control_inputs_elevator_angle', 'control_inputs_mass_position', 'fix_time', 'fix_latitude', 'fix_longitude', 'PAR', '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 02:08:28,836Z lrauvNc4ToNetcdf.py write_netcdf():120 Creating netCDF file /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333_2S_scieng.nc DEBUG 2019-11-05 02:08:28,841Z lrauvNc4ToNetcdf.py write_netcdf():144 Adding in record variable fix_time DEBUG 2019-11-05 02:08:28,848Z lrauvNc4ToNetcdf.py write_netcdf():144 Adding in record variable time DEBUG 2019-11-05 02:08:28,850Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_buoyancy_position DEBUG 2019-11-05 02:08:28,852Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_elevator_angle DEBUG 2019-11-05 02:08:28,854Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_mass_position DEBUG 2019-11-05 02:08:28,855Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable fix_latitude DEBUG 2019-11-05 02:08:28,857Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable fix_longitude DEBUG 2019-11-05 02:08:28,859Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable PAR DEBUG 2019-11-05 02:08:28,861Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_rudder_angle DEBUG 2019-11-05 02:08:28,868Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_propeller_rotation_rate DEBUG 2019-11-05 02:08:28,869Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_longitude_DeadReckonUsingMultipleVelocitySources DEBUG 2019-11-05 02:08:28,871Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_latitude_DeadReckonUsingMultipleVelocitySources DEBUG 2019-11-05 02:08:28,878Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_depth_DeadReckonUsingMultipleVelocitySources DEBUG 2019-11-05 02:08:28,881Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable health_platform_battery_charge DEBUG 2019-11-05 02:08:28,882Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable health_platform_average_voltage DEBUG 2019-11-05 02:08:28,884Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pitch DEBUG 2019-11-05 02:08:28,886Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable roll DEBUG 2019-11-05 02:08:28,888Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable yaw DEBUG 2019-11-05 02:08:28,889Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable latitude DEBUG 2019-11-05 02:08:28,891Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable longitude DEBUG 2019-11-05 02:08:28,893Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable depth DEBUG 2019-11-05 02:08:28,895Z lrauvNc4ToNetcdf.py write_netcdf():163 Adding in global metadata INFO 2019-11-05 02:08:29,017Z lrauvNc4ToNetcdf.py processResampleNc4File():1123 Wrote /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333_2S_scieng.nc