INFO 2020-02-11 01:47:27,950Z lrauvNc4ToNetcdf.py processResampleNc4File():979 Reading /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200204T231028/202002042310_202002050710.nc4 file... INFO 2020-02-11 01:47:27,951Z lrauvNc4ToNetcdf.py processResampleNc4File():980 After copying to /tmp/202002042310_202002050710.nc4 INFO 2020-02-11 01:47:29,012Z lrauvNc4ToNetcdf.py processResampleNc4File():982 Read file /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200204T231028/202002042310_202002050710.nc4 INFO 2020-02-11 01:47:29,039Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2020-02-04 23:10:00 and after 2020-02-05 07:10:00: [70936 70937 70938 70939 70940 70941 70942 70943 70944 70945 70946 70947 70948 70949 70950 70951 70952 70953 70954 70955 70956 70957 70958 70959 70960 70961 70962 70963 70964 70965 70966 70967 70968 70969 70970 70971 70972 70973 70974 70975 70976 70977 70978 70979 70980 70981 70982 70983 70984 70985 70986 70987 70988] INFO 2020-02-11 01:47:29,048Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:21 2020'] INFO 2020-02-11 01:47:29,056Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09] for variable latitude INFO 2020-02-11 01:47:29,876Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2020-02-04 23:10:00 and after 2020-02-05 07:10:00: [70936 70937 70938 70939 70940 70941 70942 70943 70944 70945 70946 70947 70948 70949 70950 70951 70952 70953 70954 70955 70956 70957 70958 70959 70960 70961 70962 70963 70964 70965 70966 70967 70968 70969 70970 70971 70972 70973 70974 70975 70976 70977 70978 70979 70980 70981 70982 70983 70984 70985 70986 70987 70988] INFO 2020-02-11 01:47:29,885Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:21 2020'] INFO 2020-02-11 01:47:29,893Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09] for variable longitude INFO 2020-02-11 01:47:30,730Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2020-02-04 23:10:00 and after 2020-02-05 07:10:00: [71125 71126 71127 71128 71129 71130 71131 71132 71133 71134 71135 71136 71137 71138 71139 71140 71141 71142 71143 71144 71145 71146 71147 71148 71149 71150 71151 71152 71153 71154 71155 71156 71157 71158 71159 71160 71161 71162 71163 71164 71165 71166 71167 71168 71169 71170 71171 71172 71173 71174 71175 71176 71177] INFO 2020-02-11 01:47:30,740Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:21 2020'] INFO 2020-02-11 01:47:30,748Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09] for variable depth INFO 2020-02-11 01:47:31,571Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2020-02-04 23:10:00 and after 2020-02-05 07:10:00: [71128 71129 71130 71131 71132 71133 71134 71135 71136 71137 71138 71139 71140 71141 71142 71143 71144 71145 71146 71147 71148 71149 71150 71151 71152 71153 71154 71155 71156 71157 71158 71159 71160 71161 71162 71163 71164 71165 71166 71167 71168 71169 71170 71171 71172 71173 71174 71175 71176 71177 71178 71179] INFO 2020-02-11 01:47:31,581Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:21 2020'] INFO 2020-02-11 01:47:31,589Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09] for variable time INFO 2020-02-11 01:47:32,412Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2020-02-04 23:10:00 and after 2020-02-05 07:10:00: [70936 70937 70938 70939 70940 70941 70942 70943 70944 70945 70946 70947 70948 70949 70950 70951 70952 70953 70954 70955 70956 70957 70958 70959 70960 70961 70962 70963 70964 70965 70966 70967 70968 70969 70970 70971 70972 70973 70974 70975 70976 70977 70978 70979 70980 70981 70982 70983 70984 70985 70986 70987 70988] INFO 2020-02-11 01:47:32,422Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:21 2020'] INFO 2020-02-11 01:47:32,430Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09] for variable latitude INFO 2020-02-11 01:47:33,245Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2020-02-04 23:10:00 and after 2020-02-05 07:10:00: [70936 70937 70938 70939 70940 70941 70942 70943 70944 70945 70946 70947 70948 70949 70950 70951 70952 70953 70954 70955 70956 70957 70958 70959 70960 70961 70962 70963 70964 70965 70966 70967 70968 70969 70970 70971 70972 70973 70974 70975 70976 70977 70978 70979 70980 70981 70982 70983 70984 70985 70986 70987 70988] INFO 2020-02-11 01:47:33,254Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:21 2020'] INFO 2020-02-11 01:47:33,263Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09] for variable longitude INFO 2020-02-11 01:47:34,083Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2020-02-04 23:10:00 and after 2020-02-05 07:10:00: [71125 71126 71127 71128 71129 71130 71131 71132 71133 71134 71135 71136 71137 71138 71139 71140 71141 71142 71143 71144 71145 71146 71147 71148 71149 71150 71151 71152 71153 71154 71155 71156 71157 71158 71159 71160 71161 71162 71163 71164 71165 71166 71167 71168 71169 71170 71171 71172 71173 71174 71175 71176 71177] INFO 2020-02-11 01:47:34,093Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:21 2020'] INFO 2020-02-11 01:47:34,102Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09] for variable depth INFO 2020-02-11 01:47:34,920Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2020-02-04 23:10:00 and after 2020-02-05 07:10:00: [71128 71129 71130 71131 71132 71133 71134 71135 71136 71137 71138 71139 71140 71141 71142 71143 71144 71145 71146 71147 71148 71149 71150 71151 71152 71153 71154 71155 71156 71157 71158 71159 71160 71161 71162 71163 71164 71165 71166 71167 71168 71169 71170 71171 71172 71173 71174 71175 71176 71177 71178 71179] INFO 2020-02-11 01:47:34,929Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:21 2020'] INFO 2020-02-11 01:47:34,937Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09] for variable time INFO 2020-02-11 01:47:35,752Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2020-02-04 23:10:00 and after 2020-02-05 07:10:00: [70936 70937 70938 70939 70940 70941 70942 70943 70944 70945 70946 70947 70948 70949 70950 70951 70952 70953 70954 70955 70956 70957 70958 70959 70960 70961 70962 70963 70964 70965 70966 70967 70968 70969 70970 70971 70972 70973 70974 70975 70976 70977 70978 70979 70980 70981 70982 70983 70984 70985 70986 70987 70988] INFO 2020-02-11 01:47:35,762Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:21 2020'] INFO 2020-02-11 01:47:35,770Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09] for variable latitude INFO 2020-02-11 01:47:36,592Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2020-02-04 23:10:00 and after 2020-02-05 07:10:00: [70936 70937 70938 70939 70940 70941 70942 70943 70944 70945 70946 70947 70948 70949 70950 70951 70952 70953 70954 70955 70956 70957 70958 70959 70960 70961 70962 70963 70964 70965 70966 70967 70968 70969 70970 70971 70972 70973 70974 70975 70976 70977 70978 70979 70980 70981 70982 70983 70984 70985 70986 70987 70988] INFO 2020-02-11 01:47:36,602Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:21 2020'] INFO 2020-02-11 01:47:36,610Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09] for variable longitude INFO 2020-02-11 01:47:37,423Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2020-02-04 23:10:00 and after 2020-02-05 07:10:00: [71125 71126 71127 71128 71129 71130 71131 71132 71133 71134 71135 71136 71137 71138 71139 71140 71141 71142 71143 71144 71145 71146 71147 71148 71149 71150 71151 71152 71153 71154 71155 71156 71157 71158 71159 71160 71161 71162 71163 71164 71165 71166 71167 71168 71169 71170 71171 71172 71173 71174 71175 71176 71177] INFO 2020-02-11 01:47:37,433Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:21 2020'] INFO 2020-02-11 01:47:37,441Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09] for variable depth INFO 2020-02-11 01:47:38,265Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2020-02-04 23:10:00 and after 2020-02-05 07:10:00: [71128 71129 71130 71131 71132 71133 71134 71135 71136 71137 71138 71139 71140 71141 71142 71143 71144 71145 71146 71147 71148 71149 71150 71151 71152 71153 71154 71155 71156 71157 71158 71159 71160 71161 71162 71163 71164 71165 71166 71167 71168 71169 71170 71171 71172 71173 71174 71175 71176 71177 71178 71179] INFO 2020-02-11 01:47:38,275Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:21 2020'] INFO 2020-02-11 01:47:38,284Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09] for variable time INFO 2020-02-11 01:47:39,105Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2020-02-04 23:10:00 and after 2020-02-05 07:10:00: [70936 70937 70938 70939 70940 70941 70942 70943 70944 70945 70946 70947 70948 70949 70950 70951 70952 70953 70954 70955 70956 70957 70958 70959 70960 70961 70962 70963 70964 70965 70966 70967 70968 70969 70970 70971 70972 70973 70974 70975 70976 70977 70978 70979 70980 70981 70982 70983 70984 70985 70986 70987 70988] INFO 2020-02-11 01:47:39,114Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:21 2020'] INFO 2020-02-11 01:47:39,123Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09] for variable latitude INFO 2020-02-11 01:47:39,941Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2020-02-04 23:10:00 and after 2020-02-05 07:10:00: [70936 70937 70938 70939 70940 70941 70942 70943 70944 70945 70946 70947 70948 70949 70950 70951 70952 70953 70954 70955 70956 70957 70958 70959 70960 70961 70962 70963 70964 70965 70966 70967 70968 70969 70970 70971 70972 70973 70974 70975 70976 70977 70978 70979 70980 70981 70982 70983 70984 70985 70986 70987 70988] INFO 2020-02-11 01:47:39,951Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:21 2020'] INFO 2020-02-11 01:47:39,959Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09] for variable longitude INFO 2020-02-11 01:47:40,770Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2020-02-04 23:10:00 and after 2020-02-05 07:10:00: [71125 71126 71127 71128 71129 71130 71131 71132 71133 71134 71135 71136 71137 71138 71139 71140 71141 71142 71143 71144 71145 71146 71147 71148 71149 71150 71151 71152 71153 71154 71155 71156 71157 71158 71159 71160 71161 71162 71163 71164 71165 71166 71167 71168 71169 71170 71171 71172 71173 71174 71175 71176 71177] INFO 2020-02-11 01:47:40,779Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:21 2020'] INFO 2020-02-11 01:47:40,787Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09] for variable depth INFO 2020-02-11 01:47:41,604Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2020-02-04 23:10:00 and after 2020-02-05 07:10:00: [71128 71129 71130 71131 71132 71133 71134 71135 71136 71137 71138 71139 71140 71141 71142 71143 71144 71145 71146 71147 71148 71149 71150 71151 71152 71153 71154 71155 71156 71157 71158 71159 71160 71161 71162 71163 71164 71165 71166 71167 71168 71169 71170 71171 71172 71173 71174 71175 71176 71177 71178 71179] INFO 2020-02-11 01:47:41,613Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:21 2020'] INFO 2020-02-11 01:47:41,622Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09] for variable time INFO 2020-02-11 01:47:42,420Z lrauvNc4ToNetcdf.py processResampleNc4File():987 Creating t variable of the time indexes INFO 2020-02-11 01:47:42,446Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group NAL9602 parameter time_fix renaming to fix_time INFO 2020-02-11 01:47:42,454Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group NAL9602 parameter latitude_fix renaming to fix_latitude INFO 2020-02-11 01:47:42,462Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group NAL9602 parameter longitude_fix renaming to fix_longitude INFO 2020-02-11 01:47:42,616Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group BuoyancyServo parameter platform_buoyancy_position renaming to control_inputs_buoyancy_position INFO 2020-02-11 01:47:42,791Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group ElevatorServo parameter platform_elevator_angle renaming to control_inputs_elevator_angle INFO 2020-02-11 01:47:42,833Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group MassServo parameter platform_mass_position renaming to control_inputs_mass_position INFO 2020-02-11 01:47:43,067Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group RudderServo parameter platform_rudder_angle renaming to control_inputs_rudder_angle INFO 2020-02-11 01:47:43,908Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group ThrusterServo parameter platform_propeller_rotation_rate renaming to control_inputs_propeller_rotation_rate INFO 2020-02-11 01:47:43,916Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter fix_residual_percent_distance_traveled renaming to fix_residual_percent_distance_traveled_DeadReckonUsingMultipleVelocitySources INFO 2020-02-11 01:47:43,922Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2020-02-04 23:10:00 and after 2020-02-05 07:10:00: [70936 70937 70938 70939 70940 70941 70942 70943 70944 70945 70946 70947 70948 70949 70950 70951 70952 70953 70954 70955 70956 70957 70958 70959 70960 70961 70962 70963 70964 70965 70966 70967 70968 70969 70970 70971 70972 70973 70974 70975 70976 70977 70978 70979 70980 70981 70982 70983 70984 70985 70986 70987 70988] INFO 2020-02-11 01:47:43,923Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:21 2020'] INFO 2020-02-11 01:47:43,925Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09] for variable longitude INFO 2020-02-11 01:47:44,753Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter longitude renaming to pose_longitude_DeadReckonUsingMultipleVelocitySources INFO 2020-02-11 01:47:44,759Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2020-02-04 23:10:00 and after 2020-02-05 07:10:00: [70936 70937 70938 70939 70940 70941 70942 70943 70944 70945 70946 70947 70948 70949 70950 70951 70952 70953 70954 70955 70956 70957 70958 70959 70960 70961 70962 70963 70964 70965 70966 70967 70968 70969 70970 70971 70972 70973 70974 70975 70976 70977 70978 70979 70980 70981 70982 70983 70984 70985 70986 70987 70988] INFO 2020-02-11 01:47:44,760Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:21 2020'] INFO 2020-02-11 01:47:44,762Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09] for variable latitude INFO 2020-02-11 01:47:45,645Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter latitude renaming to pose_latitude_DeadReckonUsingMultipleVelocitySources INFO 2020-02-11 01:47:45,651Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2020-02-04 23:10:00 and after 2020-02-05 07:10:00: [70936 70937 70938 70939 70940 70941 70942 70943 70944 70945 70946 70947 70948 70949 70950 70951 70952 70953 70954 70955 70956 70957 70958 70959 70960 70961 70962 70963 70964 70965 70966 70967 70968 70969 70970 70971 70972 70973 70974 70975 70976 70977 70978 70979 70980 70981 70982 70983 70984 70985 70986 70987 70988] INFO 2020-02-11 01:47:45,652Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:21 2020'] INFO 2020-02-11 01:47:45,653Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09] for variable depth INFO 2020-02-11 01:47:46,481Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter depth renaming to pose_depth_DeadReckonUsingMultipleVelocitySources WARNING 2020-02-11 01:47:46,481Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'fix_residual_percent_distance_traveled' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200204T231028/202002042310_202002050710.nc4 WARNING 2020-02-11 01:47:46,481Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'longitude' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200204T231028/202002042310_202002050710.nc4 WARNING 2020-02-11 01:47:46,481Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'latitude' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200204T231028/202002042310_202002050710.nc4 WARNING 2020-02-11 01:47:46,481Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'depth' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200204T231028/202002042310_202002050710.nc4 INFO 2020-02-11 01:47:46,486Z lrauvNc4ToNetcdf.py createSeries():225 platform_battery_charge: v_t values found before 2020-02-04 23:10:00 and after 2020-02-05 07:10:00: [7] INFO 2020-02-11 01:47:46,488Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 07:10:10 2020'] INFO 2020-02-11 01:47:46,489Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58088661e+09] for variable platform_battery_charge INFO 2020-02-11 01:47:46,497Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group BPC1 parameter platform_battery_charge renaming to health_platform_battery_charge INFO 2020-02-11 01:47:46,501Z lrauvNc4ToNetcdf.py createSeries():225 platform_battery_voltage: v_t values found before 2020-02-04 23:10:00 and after 2020-02-05 07:10:00: [7] INFO 2020-02-11 01:47:46,502Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 07:10:10 2020'] INFO 2020-02-11 01:47:46,504Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58088661e+09] for variable platform_battery_voltage INFO 2020-02-11 01:47:46,511Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group BPC1 parameter platform_battery_voltage renaming to health_platform_average_voltage INFO 2020-02-11 01:47:46,527Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group Onboard parameter platform_average_current renaming to health_platform_average_current INFO 2020-02-11 01:47:46,556Z lrauvNc4ToNetcdf.py createSeries():225 platform_pitch_angle: v_t values found before 2020-02-04 23:10:00 and after 2020-02-05 07:10:00: [68680 68681 68682 68683 68684 68685 68686 68687 68688 68689 68690 68691 68692 68693 68694 68695 68696 68697 68698 68699 68700 68701 68702 68703 68704 68705 68706 68707 68708 68709 68710 68711 68712 68713 68714 68715 68716 68717 68718 68719 68720 68721 68722 68723 68724 68725 68726 68727] INFO 2020-02-11 01:47:46,565Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:20 2020'] INFO 2020-02-11 01:47:46,573Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088661e+09 1.58088660e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088662e+09 1.58088661e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09] for variable platform_pitch_angle DEBUG 2020-02-11 01:47:47,345Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for pitch DEBUG 2020-02-11 01:47:47,356Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for pitch INFO 2020-02-11 01:47:47,357Z lrauvNc4ToNetcdf.py createNav():489 platform_pitch_angle -> pitch: {'units': 'rad', 'standard_name': 'platform_pitch_angle', 'coordinates': 'time depth latitude longitude'} INFO 2020-02-11 01:47:47,384Z lrauvNc4ToNetcdf.py createSeries():225 platform_roll_angle: v_t values found before 2020-02-04 23:10:00 and after 2020-02-05 07:10:00: [68680 68681 68682 68683 68684 68685 68686 68687 68688 68689 68690 68691 68692 68693 68694 68695 68696 68697 68698 68699 68700 68701 68702 68703 68704 68705 68706 68707 68708 68709 68710 68711 68712 68713 68714 68715 68716 68717 68718 68719 68720 68721 68722 68723 68724 68725 68726 68727] INFO 2020-02-11 01:47:47,393Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:20 2020'] INFO 2020-02-11 01:47:47,402Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088661e+09 1.58088660e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088662e+09 1.58088661e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09] for variable platform_roll_angle DEBUG 2020-02-11 01:47:48,180Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for roll DEBUG 2020-02-11 01:47:48,190Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for roll INFO 2020-02-11 01:47:48,191Z lrauvNc4ToNetcdf.py createNav():489 platform_roll_angle -> roll: {'units': 'rad', 'standard_name': 'platform_roll_angle', 'coordinates': 'time depth latitude longitude'} INFO 2020-02-11 01:47:48,217Z lrauvNc4ToNetcdf.py createSeries():225 platform_orientation: v_t values found before 2020-02-04 23:10:00 and after 2020-02-05 07:10:00: [68680 68681 68682 68683 68684 68685 68686 68687 68688 68689 68690 68691 68692 68693 68694 68695 68696 68697 68698 68699 68700 68701 68702 68703 68704 68705 68706 68707 68708 68709 68710 68711 68712 68713 68714 68715 68716 68717 68718 68719 68720 68721 68722 68723 68724 68725 68726 68727] INFO 2020-02-11 01:47:48,226Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:01 2020', 'Wed Feb 5 07:10:02 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:03 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:04 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:05 2020', 'Wed Feb 5 07:10:06 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:07 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:08 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:09 2020', 'Wed Feb 5 07:10:10 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:11 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:12 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:13 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:14 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:15 2020', 'Wed Feb 5 07:10:17 2020', 'Wed Feb 5 07:10:16 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:18 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:19 2020', 'Wed Feb 5 07:10:20 2020', 'Wed Feb 5 07:10:20 2020'] INFO 2020-02-11 01:47:48,234Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088660e+09 1.58088661e+09 1.58088660e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088661e+09 1.58088662e+09 1.58088661e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09 1.58088662e+09] for variable platform_orientation DEBUG 2020-02-11 01:47:49,015Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for yaw DEBUG 2020-02-11 01:47:49,025Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for yaw INFO 2020-02-11 01:47:49,026Z lrauvNc4ToNetcdf.py createNav():489 platform_orientation -> yaw: {'units': 'rad', 'standard_name': 'platform_yaw_angle', 'coordinates': 'time depth latitude longitude'} INFO 2020-02-11 01:47:49,028Z lrauvNc4ToNetcdf.py nudge_coords():609 /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200204T231028/202002042310_202002050710.nc4 DEBUG 2020-02-11 01:47:49,885Z lrauvNc4ToNetcdf.py var_series():597 longitude: rad_to_deg = True DEBUG 2020-02-11 01:47:50,733Z lrauvNc4ToNetcdf.py var_series():597 latitude: rad_to_deg = True DEBUG 2020-02-11 01:47:50,777Z lrauvNc4ToNetcdf.py var_series():597 longitude_fix: rad_to_deg = False DEBUG 2020-02-11 01:47:50,816Z lrauvNc4ToNetcdf.py var_series():597 latitude_fix: rad_to_deg = False INFO 2020-02-11 01:47:50,816Z 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 2020-02-11 01:47:50,818Z lrauvNc4ToNetcdf.py nudge_coords():643 - - - 0 0.00 - - - INFO 2020-02-11 01:47:50,827Z lrauvNc4ToNetcdf.py nudge_coords():665 0: 0.305 -0.0000010 0.0000077 43 0.29 -3.77 4.97 2020-02-04 23:12:13.563997030 INFO 2020-02-11 01:47:50,833Z lrauvNc4ToNetcdf.py nudge_coords():665 1: 0.355 -0.0000406 0.0001149 306 2.05 -7.86 10.37 2020-02-04 23:14:17.134409904 INFO 2020-02-11 01:47:50,840Z lrauvNc4ToNetcdf.py nudge_coords():665 2: 0.362 0.0000140 0.0000429 1031 6.94 -0.87 1.15 2020-02-04 23:21:13.757006884 INFO 2020-02-11 01:47:50,846Z lrauvNc4ToNetcdf.py nudge_coords():665 3: 0.357 0.0000258 0.0000056 731 4.92 -0.16 0.21 2020-02-04 23:26:09.142383099 INFO 2020-02-11 01:47:50,853Z lrauvNc4ToNetcdf.py nudge_coords():665 4: 0.361 -0.0000011 0.0000007 137 0.92 -0.10 0.14 2020-02-04 23:27:04.489136934 INFO 2020-02-11 01:47:50,860Z lrauvNc4ToNetcdf.py nudge_coords():665 5: 0.340 -0.0003903 -0.0001299 2375 16.00 1.14 -1.50 2020-02-04 23:43:04.829904079 INFO 2020-02-11 01:47:50,866Z lrauvNc4ToNetcdf.py nudge_coords():665 6: 0.361 -0.0000027 0.0000005 147 0.98 -0.08 0.10 2020-02-04 23:44:04.200239897 INFO 2020-02-11 01:47:50,873Z lrauvNc4ToNetcdf.py nudge_coords():665 7: 0.368 -0.0000164 -0.0000210 828 5.57 0.53 -0.70 2020-02-04 23:49:38.704998016 INFO 2020-02-11 01:47:50,879Z lrauvNc4ToNetcdf.py nudge_coords():665 8: 0.336 -0.0000063 -0.0000063 145 0.97 0.91 -1.21 2020-02-04 23:50:37.337941885 INFO 2020-02-11 01:47:50,886Z lrauvNc4ToNetcdf.py nudge_coords():665 9: 0.360 -0.0006012 -0.0002765 9083 61.16 0.63 -0.84 2020-02-05 00:51:47.153168917 INFO 2020-02-11 01:47:50,893Z lrauvNc4ToNetcdf.py nudge_coords():665 10: 0.352 -0.0000605 0.0000185 1030 6.93 -0.38 0.50 2020-02-05 00:58:43.285614967 INFO 2020-02-11 01:47:50,900Z lrauvNc4ToNetcdf.py nudge_coords():665 11: 0.353 -0.0000150 -0.0000143 263 1.77 1.14 -1.50 2020-02-05 01:00:29.637361050 INFO 2020-02-11 01:47:50,906Z lrauvNc4ToNetcdf.py nudge_coords():665 12: 0.358 -0.0000203 0.0000133 275 1.85 -1.02 1.34 2020-02-05 01:02:20.742399931 INFO 2020-02-11 01:47:50,913Z lrauvNc4ToNetcdf.py nudge_coords():665 13: 0.365 -0.0002253 0.0001493 5534 37.57 -0.56 0.74 2020-02-05 01:39:55.225169897 INFO 2020-02-11 01:47:50,920Z lrauvNc4ToNetcdf.py nudge_coords():665 14: 0.298 -0.0000308 -0.0000150 593 3.99 0.53 -0.70 2020-02-05 01:43:54.870965958 INFO 2020-02-11 01:47:50,926Z lrauvNc4ToNetcdf.py nudge_coords():665 15: 0.357 -0.0000028 -0.0000010 150 1.00 0.14 -0.18 2020-02-05 01:44:55.416332006 INFO 2020-02-11 01:47:50,933Z lrauvNc4ToNetcdf.py nudge_coords():665 16: 0.359 -0.0000009 0.0000127 825 5.55 -0.32 0.42 2020-02-05 01:50:28.754297972 INFO 2020-02-11 01:47:50,939Z lrauvNc4ToNetcdf.py nudge_coords():665 17: 0.377 0.0000144 -0.0000263 753 5.06 0.73 -0.96 2020-02-05 01:55:32.992985010 INFO 2020-02-11 01:47:50,945Z lrauvNc4ToNetcdf.py nudge_coords():665 18: 0.356 0.0000099 -0.0000075 708 4.76 0.22 -0.29 2020-02-05 02:00:19.148392916 INFO 2020-02-11 01:47:50,952Z lrauvNc4ToNetcdf.py nudge_coords():665 19: 0.373 -0.0000010 -0.0000040 131 0.88 0.64 -0.85 2020-02-05 02:01:12.058943987 INFO 2020-02-11 01:47:50,958Z lrauvNc4ToNetcdf.py nudge_coords():665 20: 0.364 -0.0005802 -0.0000039 4556 30.67 0.02 -0.02 2020-02-05 02:31:52.985301018 INFO 2020-02-11 01:47:50,965Z lrauvNc4ToNetcdf.py nudge_coords():665 21: 0.360 0.0000232 -0.0000332 565 3.80 1.22 -1.62 2020-02-05 02:35:41.257292032 INFO 2020-02-11 01:47:50,972Z lrauvNc4ToNetcdf.py nudge_coords():665 22: 0.378 -0.0007465 -0.0004317 5001 33.67 1.79 -2.38 2020-02-05 03:09:22.160976887 INFO 2020-02-11 01:47:50,979Z lrauvNc4ToNetcdf.py nudge_coords():665 23: 0.329 0.0000040 0.0000270 169 1.13 -3.33 4.41 2020-02-05 03:10:30.500096082 INFO 2020-02-11 01:47:50,985Z lrauvNc4ToNetcdf.py nudge_coords():665 24: 0.350 -0.0007471 -0.0002514 4651 31.31 1.12 -1.49 2020-02-05 03:41:49.772631884 INFO 2020-02-11 01:47:50,992Z lrauvNc4ToNetcdf.py nudge_coords():665 25: 0.341 -0.0000235 0.0000096 442 2.97 -0.45 0.60 2020-02-05 03:44:48.340630054 INFO 2020-02-11 01:47:50,999Z lrauvNc4ToNetcdf.py nudge_coords():665 26: 0.364 -0.0004654 -0.0002976 2444 16.45 2.53 -3.35 2020-02-05 04:01:15.755017996 INFO 2020-02-11 01:47:51,006Z lrauvNc4ToNetcdf.py nudge_coords():665 27: 0.374 -0.0000047 -0.0000328 1048 7.05 0.65 -0.86 2020-02-05 04:08:19.148780107 INFO 2020-02-11 01:47:51,012Z lrauvNc4ToNetcdf.py nudge_coords():665 28: 0.364 -0.0000088 -0.0000037 139 0.93 0.55 -0.74 2020-02-05 04:09:15.317080021 INFO 2020-02-11 01:47:51,019Z lrauvNc4ToNetcdf.py nudge_coords():665 29: 0.339 -0.0000143 -0.0011335 4833 32.55 4.88 -6.45 2020-02-05 04:41:48.553752899 INFO 2020-02-11 01:47:51,026Z lrauvNc4ToNetcdf.py nudge_coords():665 30: 0.359 -0.0000129 0.0000006 431 2.90 -0.03 0.04 2020-02-05 04:44:42.677273035 INFO 2020-02-11 01:47:51,032Z lrauvNc4ToNetcdf.py nudge_coords():665 31: 0.381 0.0000028 -0.0000429 241 1.62 3.72 -4.92 2020-02-05 04:46:20.076788902 INFO 2020-02-11 01:47:51,038Z lrauvNc4ToNetcdf.py nudge_coords():665 32: 0.360 0.0000334 -0.0000042 826 5.56 0.11 -0.14 2020-02-05 04:51:53.841286898 INFO 2020-02-11 01:47:51,045Z lrauvNc4ToNetcdf.py nudge_coords():665 33: 0.331 0.0000442 -0.0000072 833 5.60 0.18 -0.24 2020-02-05 04:57:30.433813095 INFO 2020-02-11 01:47:51,051Z lrauvNc4ToNetcdf.py nudge_coords():665 34: 0.357 0.0000364 -0.0000067 849 5.71 0.16 -0.22 2020-02-05 05:03:13.489145041 INFO 2020-02-11 01:47:51,058Z lrauvNc4ToNetcdf.py nudge_coords():665 35: 0.350 0.0000250 -0.0000038 843 5.67 0.09 -0.12 2020-02-05 05:08:54.084896088 INFO 2020-02-11 01:47:51,064Z lrauvNc4ToNetcdf.py nudge_coords():665 36: 0.364 0.0000331 -0.0001542 1426 9.61 2.25 -2.98 2020-02-05 05:18:30.829185009 INFO 2020-02-11 01:47:51,071Z lrauvNc4ToNetcdf.py nudge_coords():665 37: 0.354 0.0000235 -0.0000102 1156 7.78 0.18 -0.24 2020-02-05 05:26:17.904530048 INFO 2020-02-11 01:47:51,077Z lrauvNc4ToNetcdf.py nudge_coords():665 38: 0.355 0.0000035 0.0000069 873 5.87 -0.16 0.22 2020-02-05 05:32:10.610398054 INFO 2020-02-11 01:47:51,084Z lrauvNc4ToNetcdf.py nudge_coords():665 39: 0.363 0.0000337 -0.0002253 2397 16.14 1.96 -2.59 2020-02-05 05:48:19.356241941 INFO 2020-02-11 01:47:51,091Z lrauvNc4ToNetcdf.py nudge_coords():665 40: 0.355 0.0000185 -0.0000387 998 6.71 0.81 -1.07 2020-02-05 05:55:02.571414948 INFO 2020-02-11 01:47:51,098Z lrauvNc4ToNetcdf.py nudge_coords():665 41: 0.373 0.0029141 0.0004932 9065 61.05 -1.14 1.50 2020-02-05 06:56:06.148983002 INFO 2020-02-11 01:47:51,105Z lrauvNc4ToNetcdf.py nudge_coords():665 42: 0.355 -0.0000129 -0.0000597 1376 9.26 0.91 -1.20 2020-02-05 07:05:22.117500067 INFO 2020-02-11 01:47:51,112Z lrauvNc4ToNetcdf.py nudge_coords():665 43: 0.283 0.0000000 -0.0000143 190 1.28 1.57 -2.07 2020-02-05 07:06:39.180084944 INFO 2020-02-11 01:47:51,118Z lrauvNc4ToNetcdf.py nudge_coords():665 44: 0.246 -0.0000005 -0.0000000 8 0.05 0.13 -0.17 2020-02-05 07:06:42.454112053 INFO 2020-02-11 01:47:51,125Z lrauvNc4ToNetcdf.py nudge_coords():665 45: 0.359 0.0000019 0.0000001 7 0.04 -0.43 0.57 2020-02-05 07:06:45.221293926 INFO 2020-02-11 01:47:51,131Z lrauvNc4ToNetcdf.py nudge_coords():665 46: 0.351 0.0000002 -0.0000005 8 0.05 1.53 -2.02 2020-02-05 07:06:48.456450939 INFO 2020-02-11 01:47:51,137Z lrauvNc4ToNetcdf.py nudge_coords():665 47: 0.364 0.0000009 0.0000006 7 0.04 -1.92 2.53 2020-02-05 07:06:51.277203083 INFO 2020-02-11 01:47:51,144Z lrauvNc4ToNetcdf.py nudge_coords():665 48: 0.356 0.0000022 -0.0000000 7 0.04 0.08 -0.10 2020-02-05 07:06:54.144212961 INFO 2020-02-11 01:47:51,150Z lrauvNc4ToNetcdf.py nudge_coords():665 49: 0.359 0.0000031 -0.0000004 8 0.05 1.04 -1.38 2020-02-05 07:06:57.369008064 INFO 2020-02-11 01:47:51,156Z lrauvNc4ToNetcdf.py nudge_coords():665 50: 0.364 0.0000028 0.0000006 7 0.04 -1.94 2.55 2020-02-05 07:07:00.188817978 INFO 2020-02-11 01:47:51,162Z lrauvNc4ToNetcdf.py nudge_coords():665 51: 0.364 0.0000007 0.0000005 8 0.05 -1.43 1.88 2020-02-05 07:07:03.429025888 INFO 2020-02-11 01:47:51,168Z lrauvNc4ToNetcdf.py nudge_coords():665 52: 0.356 0.0000038 0.0000009 7 0.04 -3.06 4.03 2020-02-05 07:07:06.252923964 INFO 2020-02-11 01:47:51,175Z lrauvNc4ToNetcdf.py nudge_coords():665 53: 0.222 0.0000021 0.0000004 7 0.04 -1.38 1.82 2020-02-05 07:07:09.219331980 INFO 2020-02-11 01:47:51,181Z lrauvNc4ToNetcdf.py nudge_coords():665 54: 0.362 0.0000011 -0.0000006 8 0.05 1.73 -2.29 2020-02-05 07:07:12.319062948 INFO 2020-02-11 01:47:51,187Z lrauvNc4ToNetcdf.py nudge_coords():665 55: 0.357 0.0000009 -0.0000010 7 0.04 3.31 -4.36 2020-02-05 07:07:15.143996 INFO 2020-02-11 01:47:51,193Z lrauvNc4ToNetcdf.py nudge_coords():665 56: 0.360 -0.0000001 -0.0000011 8 0.05 3.24 -4.27 2020-02-05 07:07:18.372936964 INFO 2020-02-11 01:47:51,200Z lrauvNc4ToNetcdf.py nudge_coords():665 57: 0.358 0.0000014 0.0000003 7 0.04 -0.92 1.21 2020-02-05 07:07:21.202975988 INFO 2020-02-11 01:47:51,206Z lrauvNc4ToNetcdf.py nudge_coords():665 58: 0.354 0.0000001 -0.0000004 8 0.05 1.07 -1.41 2020-02-05 07:07:24.416547060 INFO 2020-02-11 01:47:51,213Z lrauvNc4ToNetcdf.py nudge_coords():695 60: - - - 437 2.94 - - INFO 2020-02-11 01:47:51,213Z lrauvNc4ToNetcdf.py nudge_coords():699 Points in final series = 70989 DEBUG 2020-02-11 01:47:51,214Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():525 Constructing trackingdb url to 3600 seconds beyond time range of file INFO 2020-02-11 01:47:51,233Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():533 http://odss.mbari.org/trackingdb/position/whoidhs_ac/between/20200204T221038/20200205T081021/data.csv INFO 2020-02-11 01:47:51,250Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():556 Found 0 position values from the Tracking database INFO 2020-02-11 01:47:51,256Z lrauvNc4ToNetcdf.py processResampleNc4File():1120 ['fix_time', 'fix_latitude', 'fix_longitude', 'control_inputs_buoyancy_position', 'control_inputs_elevator_angle', 'control_inputs_mass_position', 'control_inputs_rudder_angle', 'control_inputs_propeller_rotation_rate', 'fix_residual_percent_distance_traveled_DeadReckonUsingMultipleVelocitySources', 'pose_longitude_DeadReckonUsingMultipleVelocitySources', 'pose_latitude_DeadReckonUsingMultipleVelocitySources', 'pose_depth_DeadReckonUsingMultipleVelocitySources', 'health_platform_battery_charge', 'health_platform_average_voltage', 'health_platform_average_current', 'pitch', 'roll', 'yaw', 'latitude', 'longitude', 'depth', 'time'] DEBUG 2020-02-11 01:47:51,261Z lrauvNc4ToNetcdf.py write_netcdf():120 Creating netCDF file /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200204T231028/202002042310_202002050710_2S_eng.nc DEBUG 2020-02-11 01:47:51,270Z lrauvNc4ToNetcdf.py write_netcdf():144 Adding in record variable fix_time DEBUG 2020-02-11 01:47:51,300Z lrauvNc4ToNetcdf.py write_netcdf():144 Adding in record variable time DEBUG 2020-02-11 01:47:51,308Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable fix_latitude DEBUG 2020-02-11 01:47:51,314Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable fix_longitude DEBUG 2020-02-11 01:47:51,319Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_buoyancy_position DEBUG 2020-02-11 01:47:51,324Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_elevator_angle DEBUG 2020-02-11 01:47:51,329Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_mass_position DEBUG 2020-02-11 01:47:51,333Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_rudder_angle DEBUG 2020-02-11 01:47:51,338Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable control_inputs_propeller_rotation_rate DEBUG 2020-02-11 01:47:51,357Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable fix_residual_percent_distance_traveled_DeadReckonUsingMultipleVelocitySources DEBUG 2020-02-11 01:47:51,362Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_longitude_DeadReckonUsingMultipleVelocitySources DEBUG 2020-02-11 01:47:51,375Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_latitude_DeadReckonUsingMultipleVelocitySources DEBUG 2020-02-11 01:47:51,381Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_depth_DeadReckonUsingMultipleVelocitySources DEBUG 2020-02-11 01:47:51,386Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable health_platform_battery_charge DEBUG 2020-02-11 01:47:51,391Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable health_platform_average_voltage DEBUG 2020-02-11 01:47:51,396Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable health_platform_average_current DEBUG 2020-02-11 01:47:51,401Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pitch DEBUG 2020-02-11 01:47:51,406Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable roll DEBUG 2020-02-11 01:47:51,411Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable yaw DEBUG 2020-02-11 01:47:51,416Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable latitude DEBUG 2020-02-11 01:47:51,421Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable longitude DEBUG 2020-02-11 01:47:51,426Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable depth DEBUG 2020-02-11 01:47:51,431Z lrauvNc4ToNetcdf.py write_netcdf():163 Adding in global metadata INFO 2020-02-11 01:47:51,597Z lrauvNc4ToNetcdf.py processResampleNc4File():1123 Wrote /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200204T231028/202002042310_202002050710_2S_eng.nc