INFO 2020-02-11 01:44:16,011Z lrauvNc4ToNetcdf.py processResampleNc4File():979 Reading /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200204T231028/202002042310_202002050710.nc4 file... INFO 2020-02-11 01:44:16,012Z lrauvNc4ToNetcdf.py processResampleNc4File():980 After copying to /tmp/202002042310_202002050710.nc4 INFO 2020-02-11 01:44:17,286Z lrauvNc4ToNetcdf.py processResampleNc4File():982 Read file /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200204T231028/202002042310_202002050710.nc4 INFO 2020-02-11 01:44:17,322Z 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 01:44:17,334Z 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 01:44:17,344Z 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 01:44:18,185Z 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 01:44:18,196Z 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 01:44:18,206Z 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 01:44:19,073Z 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 01:44:19,085Z 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 01:44:19,095Z 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 01:44:19,939Z 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 01:44:19,951Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:00 2020', 'Wed Feb 5 07:10:01 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 01:44:19,961Z 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 01:44:20,798Z 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 01:44:20,810Z 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 01:44:20,820Z 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 01:44:21,667Z 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 01:44:21,678Z 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 01:44:21,688Z 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 01:44:22,535Z 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 01:44:22,548Z 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 01:44:22,558Z 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 01:44:23,404Z 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 01:44:23,417Z 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 01:44:23,426Z 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 01:44:24,260Z 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 01:44:24,272Z 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 01:44:24,282Z 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 01:44:25,122Z 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 01:44:25,136Z 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 01:44:25,146Z 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 01:44:25,982Z 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 01:44:25,994Z 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 01:44:26,004Z 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 01:44:26,844Z 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 01:44:26,859Z 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 01:44:26,875Z 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 01:44:27,714Z 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 01:44:27,726Z 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 01:44:27,736Z 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 01:44:28,563Z 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 01:44:28,576Z 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 01:44:28,585Z 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 01:44:29,461Z 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 01:44:29,474Z 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 01:44:29,484Z 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 01:44:30,325Z 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 01:44:30,337Z 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 01:44:30,346Z 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 01:44:31,161Z lrauvNc4ToNetcdf.py processResampleNc4File():987 Creating t variable of the time indexes WARNING 2020-02-11 01:44:31,181Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mass_concentration_of_oxygen_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200204T231028/202002042310_202002050710.nc4 WARNING 2020-02-11 01:44:31,181Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_salinity' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200204T231028/202002042310_202002050710.nc4 WARNING 2020-02-11 01:44:31,181Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_temperature' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200204T231028/202002042310_202002050710.nc4 WARNING 2020-02-11 01:44:31,181Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_salinity' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200204T231028/202002042310_202002050710.nc4 WARNING 2020-02-11 01:44:31,181Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_temperature' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200204T231028/202002042310_202002050710.nc4 WARNING 2020-02-11 01:44:31,181Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mole_concentration_of_nitrate_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200204T231028/202002042310_202002050710.nc4 INFO 2020-02-11 01:44:31,191Z lrauvNc4ToNetcdf.py createSeries():225 downwelling_photosynthetic_photon_flux_in_sea_water: v_t values found before 2020-02-04 23:10:00 and after 2020-02-05 07:10:00: [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 71178 71179] INFO 2020-02-11 01:44:31,192Z 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 01:44:31,193Z 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 downwelling_photosynthetic_photon_flux_in_sea_water INFO 2020-02-11 01:44:32,034Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group PAR_Licor parameter downwelling_photosynthetic_photon_flux_in_sea_water renaming to PAR WARNING 2020-02-11 01:44:32,034Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mass_concentration_of_chlorophyll_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200204T231028/202002042310_202002050710.nc4 WARNING 2020-02-11 01:44:32,034Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'Output470' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200204T231028/202002042310_202002050710.nc4 WARNING 2020-02-11 01:44:32,034Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'Output650' not in /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200204T231028/202002042310_202002050710.nc4 INFO 2020-02-11 01:44:32,346Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group WetLabsSeaOWL_UV_A parameter concentration_of_chromophoric_dissolved_organic_matter_in_sea_water renaming to chromophoric_dissolved_organic_matter INFO 2020-02-11 01:44:32,653Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group WetLabsSeaOWL_UV_A parameter mass_concentration_of_chlorophyll_in_sea_water renaming to chlorophyll INFO 2020-02-11 01:44:32,655Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable BackscatteringCoeff700nm empty so skipping INFO 2020-02-11 01:44:32,967Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group WetLabsSeaOWL_UV_A parameter VolumeScatCoeff117deg700nm renaming to VolumeScatCoeff117deg700nm INFO 2020-02-11 01:44:33,289Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group WetLabsSeaOWL_UV_A parameter mass_concentration_of_petroleum_hydrocarbons_in_sea_water renaming to petroleum_hydrocarbons INFO 2020-02-11 01:44:33,290Z lrauvNc4ToNetcdf.py nudge_coords():609 /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200204T231028/202002042310_202002050710.nc4 DEBUG 2020-02-11 01:44:34,212Z lrauvNc4ToNetcdf.py var_series():597 longitude: rad_to_deg = True DEBUG 2020-02-11 01:44:35,076Z lrauvNc4ToNetcdf.py var_series():597 latitude: rad_to_deg = True DEBUG 2020-02-11 01:44:35,125Z lrauvNc4ToNetcdf.py var_series():597 longitude_fix: rad_to_deg = False DEBUG 2020-02-11 01:44:35,166Z lrauvNc4ToNetcdf.py var_series():597 latitude_fix: rad_to_deg = False INFO 2020-02-11 01:44:35,166Z 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 01:44:35,168Z lrauvNc4ToNetcdf.py nudge_coords():643 - - - 0 0.00 - - - INFO 2020-02-11 01:44:35,176Z 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 01:44:35,182Z 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 01:44:35,188Z 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 01:44:35,195Z 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 01:44:35,202Z 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 01:44:35,208Z 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 01:44:35,215Z 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 01:44:35,221Z 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 01:44:35,228Z 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 01:44:35,234Z 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 01:44:35,241Z 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 01:44:35,248Z 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 01:44:35,258Z 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 01:44:35,266Z 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 01:44:35,273Z 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 01:44:35,279Z 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 01:44:35,286Z 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 01:44:35,293Z 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 01:44:35,299Z 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 01:44:35,306Z 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 01:44:35,312Z 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 01:44:35,319Z 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 01:44:35,326Z 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 01:44:35,333Z 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 01:44:35,339Z 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 01:44:35,346Z 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 01:44:35,353Z 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 01:44:35,360Z 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 01:44:35,367Z 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 01:44:35,373Z 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 01:44:35,380Z 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 01:44:35,387Z 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 01:44:35,393Z 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 01:44:35,400Z 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 01:44:35,407Z 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 01:44:35,413Z 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 01:44:35,420Z 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 01:44:35,426Z 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 01:44:35,433Z 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 01:44:35,440Z 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 01:44:35,447Z 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 01:44:35,453Z 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 01:44:35,461Z 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 01:44:35,468Z 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 01:44:35,475Z 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 01:44:35,481Z 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 01:44:35,488Z 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 01:44:35,494Z 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 01:44:35,500Z 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 01:44:35,506Z 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 01:44:35,513Z 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 01:44:35,519Z 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 01:44:35,525Z 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 01:44:35,532Z 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 01:44:35,538Z 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 01:44:35,544Z 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 01:44:35,550Z 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 01:44:35,557Z 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 01:44:35,563Z 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 01:44:35,569Z lrauvNc4ToNetcdf.py nudge_coords():695 60: - - - 437 2.94 - - INFO 2020-02-11 01:44:35,569Z lrauvNc4ToNetcdf.py nudge_coords():699 Points in final series = 70989 DEBUG 2020-02-11 01:44:35,570Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():525 Constructing trackingdb url to 3600 seconds beyond time range of file INFO 2020-02-11 01:44:35,618Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():533 http://odss.mbari.org/trackingdb/position/whoidhs_ac/between/20200204T221038/20200205T081021/data.csv INFO 2020-02-11 01:44:35,644Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():556 Found 0 position values from the Tracking database INFO 2020-02-11 01:44:35,649Z lrauvNc4ToNetcdf.py processResampleNc4File():1120 ['PAR', 'chromophoric_dissolved_organic_matter', 'chlorophyll', 'VolumeScatCoeff117deg700nm', 'petroleum_hydrocarbons', 'latitude', 'longitude', 'depth', 'time'] DEBUG 2020-02-11 01:44:35,653Z lrauvNc4ToNetcdf.py write_netcdf():120 Creating netCDF file /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200204T231028/202002042310_202002050710_10S_sci.nc DEBUG 2020-02-11 01:44:35,661Z lrauvNc4ToNetcdf.py write_netcdf():144 Adding in record variable time DEBUG 2020-02-11 01:44:35,689Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable PAR DEBUG 2020-02-11 01:44:35,693Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable chromophoric_dissolved_organic_matter DEBUG 2020-02-11 01:44:35,695Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable chlorophyll DEBUG 2020-02-11 01:44:35,697Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable VolumeScatCoeff117deg700nm DEBUG 2020-02-11 01:44:35,700Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable petroleum_hydrocarbons DEBUG 2020-02-11 01:44:35,702Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable latitude DEBUG 2020-02-11 01:44:35,704Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable longitude DEBUG 2020-02-11 01:44:35,706Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable depth DEBUG 2020-02-11 01:44:35,716Z lrauvNc4ToNetcdf.py write_netcdf():163 Adding in global metadata INFO 2020-02-11 01:44:35,836Z lrauvNc4ToNetcdf.py processResampleNc4File():1123 Wrote /mbari/LRAUV/whoidhs/missionlogs/2020/20200204_20200206/20200204T231028/202002042310_202002050710_10S_sci.nc