INFO 2019-11-05 02:12:25,783Z lrauvNc4ToNetcdf.py processResampleNc4File():979 Reading /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 file... INFO 2019-11-05 02:12:25,784Z lrauvNc4ToNetcdf.py processResampleNc4File():980 After copying to /tmp/201911042258_201911042333.nc4 INFO 2019-11-05 02:12:29,760Z lrauvNc4ToNetcdf.py processResampleNc4File():982 Read file /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 INFO 2019-11-05 02:12:29,775Z 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 02:12:29,781Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:00 2019', 'Mon Nov 4 23:33:01 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 02:12:29,787Z 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 02:12:29,866Z 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 02:12:29,871Z 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 02:12:29,877Z 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 02:12:29,955Z 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 02:12:29,961Z 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 02:12:29,966Z 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 02:12:30,044Z 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 02:12:30,050Z 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 02:12:30,055Z 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 1.57291039e+09] for variable time INFO 2019-11-05 02:12:30,132Z 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 02:12:30,137Z 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 02:12:30,143Z 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 02:12:30,220Z 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 02:12:30,226Z 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 02:12:30,232Z 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 02:12:30,309Z 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 02:12:30,314Z 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 02:12:30,320Z 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 02:12:30,397Z 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 02:12:30,402Z 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 02:12:30,408Z 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 02:12:30,485Z 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 02:12:30,491Z 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 02:12:30,496Z 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 02:12:30,572Z 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 02:12:30,578Z 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 02:12:30,584Z 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 02:12:30,660Z 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 02:12:30,666Z 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 02:12:30,672Z 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 02:12:30,748Z 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 02:12:30,754Z 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 02:12:30,760Z 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 02:12:30,837Z 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 02:12:30,843Z 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 02:12:30,849Z 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 02:12:30,926Z 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 02:12:30,932Z 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 02:12:30,938Z 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 02:12:31,014Z 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 02:12:31,020Z 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 02:12:31,026Z 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 02:12:31,103Z 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 02:12:31,108Z 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 02:12:31,114Z 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 02:12:31,180Z lrauvNc4ToNetcdf.py processResampleNc4File():987 Creating t variable of the time indexes WARNING 2019-11-05 02:12:31,185Z 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 02:12:31,188Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable sea_water_salinity empty so skipping INFO 2019-11-05 02:12:31,190Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable sea_water_temperature empty so skipping WARNING 2019-11-05 02:12:31,191Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_salinity' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 WARNING 2019-11-05 02:12:31,191Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_temperature' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 WARNING 2019-11-05 02:12:31,191Z 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 02:12:31,193Z 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 02:12:31,194Z 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 02:12:31,195Z 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 02:12:31,260Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group PAR_Licor parameter downwelling_photosynthetic_photon_flux_in_sea_water renaming to PAR WARNING 2019-11-05 02:12:31,260Z 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 02:12:31,260Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'Output470' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 WARNING 2019-11-05 02:12:31,260Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'Output650' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 INFO 2019-11-05 02:12:31,263Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable concentration_of_chromophoric_dissolved_organic_matter_in_sea_water empty so skipping INFO 2019-11-05 02:12:31,266Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable mass_concentration_of_chlorophyll_in_sea_water empty so skipping INFO 2019-11-05 02:12:31,268Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable BackscatteringCoeff700nm empty so skipping INFO 2019-11-05 02:12:31,271Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable VolumeScatCoeff117deg700nm empty so skipping INFO 2019-11-05 02:12:31,273Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable mass_concentration_of_petroleum_hydrocarbons_in_sea_water empty so skipping INFO 2019-11-05 02:12:31,274Z lrauvNc4ToNetcdf.py nudge_coords():609 /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333.nc4 DEBUG 2019-11-05 02:12:31,361Z lrauvNc4ToNetcdf.py var_series():597 longitude: rad_to_deg = True DEBUG 2019-11-05 02:12:31,455Z lrauvNc4ToNetcdf.py var_series():597 latitude: rad_to_deg = True DEBUG 2019-11-05 02:12:31,484Z lrauvNc4ToNetcdf.py var_series():597 longitude_fix: rad_to_deg = False DEBUG 2019-11-05 02:12:31,511Z lrauvNc4ToNetcdf.py var_series():597 latitude_fix: rad_to_deg = False INFO 2019-11-05 02:12:31,511Z 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 02:12:31,513Z lrauvNc4ToNetcdf.py nudge_coords():643 - - - 623 4.19 - - - INFO 2019-11-05 02:12:31,515Z 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 02:12:31,522Z 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 02:12:31,528Z lrauvNc4ToNetcdf.py nudge_coords():695 3: - - - 3959 26.68 - - INFO 2019-11-05 02:12:31,528Z lrauvNc4ToNetcdf.py nudge_coords():699 Points in final series = 5108 DEBUG 2019-11-05 02:12:31,529Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():525 Constructing trackingdb url to 3600 seconds beyond time range of file INFO 2019-11-05 02:12:31,540Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():533 http://odss.mbari.org/trackingdb/position/whoidhs_ac/between/20191104T215843/20191105T003308/data.csv INFO 2019-11-05 02:12:31,556Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():556 Found 0 position values from the Tracking database INFO 2019-11-05 02:12:31,559Z lrauvNc4ToNetcdf.py processResampleNc4File():1120 ['PAR', 'latitude', 'longitude', 'depth', 'time'] DEBUG 2019-11-05 02:12:31,560Z lrauvNc4ToNetcdf.py write_netcdf():120 Creating netCDF file /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333_10S_sci.nc DEBUG 2019-11-05 02:12:31,565Z lrauvNc4ToNetcdf.py write_netcdf():144 Adding in record variable time DEBUG 2019-11-05 02:12:31,570Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable PAR DEBUG 2019-11-05 02:12:31,571Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable latitude DEBUG 2019-11-05 02:12:31,573Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable longitude DEBUG 2019-11-05 02:12:31,574Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable depth DEBUG 2019-11-05 02:12:31,576Z lrauvNc4ToNetcdf.py write_netcdf():163 Adding in global metadata INFO 2019-11-05 02:12:31,691Z lrauvNc4ToNetcdf.py processResampleNc4File():1123 Wrote /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191104T225843/201911042258_201911042333_10S_sci.nc