INFO 2025-06-26 15:49:32,161 process.py process_mission():429 [1] commandline = src/data/process_dorado.py --start_year 2005 --end_year 2014 --num_cores 1 -v --noinput --clobber INFO 2025-06-26 15:49:32,161 process.py process_mission():434 [1] dorado_info[mission]["comment"] = ESP drifter missions out at station 67-70 with Flyer doing casts and ESP drifting south toward Davidson Seamount - no gulpers (Frederic sent me note about survey grouping) Faulty parosci lead to several mission depth aborts at beginning of this set of volume surveys - ctdToUse = ctd1 INFO 2025-06-26 15:49:32,161 process.py process_mission():449 [1] Processing AUVCTD mission 2010.258.03 by user docker_user on host eae60d30a712 INFO 2025-06-26 15:49:32,161 process.py download_process():165 [1] Download and processing steps for 2010.258.03 INFO 2025-06-26 15:49:32,161 logs2netcdfs.py download_process_logs():739 [1] src_dir = /Volumes/AUVCTD/missionlogs/2010/2010258/2010.258.03 INFO 2025-06-26 15:49:32,161 logs2netcdfs.py download_process_logs():768 [1] Rsyncing /Volumes/AUVCTD/missionlogs/2010/2010258/2010.258.03 to /data/auv_data/dorado/missionlogs/2010.258.03 INFO 2025-06-26 15:49:32,757 logs2netcdfs.py download_process_logs():779 [1] Processing mission: dorado 2010.258.03 INFO 2025-06-26 15:49:32,757 logs2netcdfs.py download_process_logs():788 [1] Processing file /data/auv_data/dorado/missionlogs/2010.258.03/ctdDriver.log (139691 bytes) INFO 2025-06-26 15:49:32,775 logs2netcdfs.py download_process_logs():788 [1] Processing file /data/auv_data/dorado/missionlogs/2010.258.03/ctdDriver2.log (139391 bytes) INFO 2025-06-26 15:49:32,792 logs2netcdfs.py download_process_logs():788 [1] Processing file /data/auv_data/dorado/missionlogs/2010.258.03/gps.log (22244 bytes) INFO 2025-06-26 15:49:32,801 logs2netcdfs.py download_process_logs():788 [1] Processing file /data/auv_data/dorado/missionlogs/2010.258.03/hydroscatlog.log (128794 bytes) INFO 2025-06-26 15:49:32,822 logs2netcdfs.py download_process_logs():788 [1] Processing file /data/auv_data/dorado/missionlogs/2010.258.03/navigation.log (403686 bytes) INFO 2025-06-26 15:49:32,865 logs2netcdfs.py download_process_logs():788 [1] Processing file /data/auv_data/dorado/missionlogs/2010.258.03/isuslog.log (8085 bytes) INFO 2025-06-26 15:49:32,869 logs2netcdfs.py download_process_logs():788 [1] Processing file /data/auv_data/dorado/missionlogs/2010.258.03/parosci.log (137366 bytes) INFO 2025-06-26 15:49:32,885 logs2netcdfs.py download_process_logs():788 [1] Processing file /data/auv_data/dorado/missionlogs/2010.258.03/tailCone.log (92443 bytes) INFO 2025-06-26 15:49:32,902 logs2netcdfs.py download_process_logs():807 [1] Time to process: 0.14 seconds INFO 2025-06-26 15:49:32,902 process.py download_process():198 [1] Processing file /data/auv_data/dorado/missionlogs/2010.258.03/lopc.bin (476000 bytes) INFO 2025-06-26 15:49:32,902 lopcToNetCDF.py main():2297 [1] Processing begun: Thu Jun 26 15:49:32 2025 INFO 2025-06-26 15:49:32,902 lopcToNetCDF.py constructTimestampList():1296 [1] parosci_nc = /data/auv_data/dorado/missionnetcdfs/2010.258.03/parosci.nc INFO 2025-06-26 15:49:32,902 lopcToNetCDF.py constructTimestampList():1297 [1] Using NetCDF4 to get start and end epoch seconds for this mission from this URL: INFO 2025-06-26 15:49:32,902 lopcToNetCDF.py constructTimestampList():1300 [1] /data/auv_data/dorado/missionnetcdfs/2010.258.03/parosci.nc INFO 2025-06-26 15:49:32,904 lopcToNetCDF.py constructTimestampList():1317 [1] From associated parosci.nc file: sensor_on_time = 1284537580.7, sensor_off_time = 1284537969.8 INFO 2025-06-26 15:49:32,904 lopcToNetCDF.py constructTimestampList():1322 [1] Duration is 389 seconds. Expecting to read 778 L frames from the lopc.bin file. INFO 2025-06-26 15:49:32,904 lopcToNetCDF.py constructTimestampList():1330 [1] recCount not passed in, assuming we'll have 778 records from the lopc.bin file. INFO 2025-06-26 15:49:32,909 lopcToNetCDF.py main():2321 [1] Examined sibling parosci.nc file to find startTime = 2010-09-15 07:59:40 Z and endTime = 2010-09-15 08:06:09 Z with 778 records expected to be read from lopc.bin INFO 2025-06-26 15:49:32,909 lopcToNetCDF.py unpackLOPCbin():723 [1] >>> Unpacking LOPC data from /data/auv_data/dorado/missionlogs/2010.258.03/lopc.bin INFO 2025-06-26 15:49:32,909 lopcToNetCDF.py unpackLOPCbin():724 [1] >>> Will write to NetCDF file /data/auv_data/dorado/missionnetcdfs/2010.258.03/lopc.nc INFO 2025-06-26 15:49:32,909 lopcToNetCDF.py openNetCDFFile():1861 [1] Will output NetCDF file to /data/auv_data/dorado/missionnetcdfs/2010.258.03/lopc.nc INFO 2025-06-26 15:49:32,909 lopcToNetCDF.py openNetCDFFile():1887 [1] missionName = 2010.258.03 INFO 2025-06-26 15:49:32,910 lopcToNetCDF.py openNetCDFFile():1910 [1] Writing bin axis for len(self.dataStructure['binSizeList']) = 994 WARNING 2025-06-26 15:49:32,912 lopcToNetCDF.py readCframeData():665 [1] Unable to parse a float from the string cstr[:70] = A098204 WARNING 2025-06-26 15:49:32,912 lopcToNetCDF.py readCframeData():665 [1] Unable to parse a float from the string cstr[:70] = INFO 2025-06-26 15:49:32,970 lopcToNetCDF.py unpackLOPCbin():951 [1] L Frames sample M Frames ShortLFrame LBeforeMEnd MBeforeLEnd UnknownFrame Garbled L INFO 2025-06-26 15:49:32,971 lopcToNetCDF.py unpackLOPCbin():969 [1] Count Count Count Error Error Error Error Error INFO 2025-06-26 15:49:32,971 lopcToNetCDF.py unpackLOPCbin():987 [1] -------- -------- -------- ----------- ----------- ----------- ----------- ------------ INFO 2025-06-26 15:49:33,622 lopcToNetCDF.py main():2345 [1] >>> Done reading file. INFO 2025-06-26 15:49:33,622 lopcToNetCDF.py main():2346 [1] lFrameCount = 782, mFrameCount = 1709 INFO 2025-06-26 15:49:33,622 lopcToNetCDF.py constructTimestampList():1296 [1] parosci_nc = /data/auv_data/dorado/missionnetcdfs/2010.258.03/parosci.nc INFO 2025-06-26 15:49:33,622 lopcToNetCDF.py constructTimestampList():1297 [1] Using NetCDF4 to get start and end epoch seconds for this mission from this URL: INFO 2025-06-26 15:49:33,622 lopcToNetCDF.py constructTimestampList():1300 [1] /data/auv_data/dorado/missionnetcdfs/2010.258.03/parosci.nc INFO 2025-06-26 15:49:33,624 lopcToNetCDF.py constructTimestampList():1317 [1] From associated parosci.nc file: sensor_on_time = 1284537580.7, sensor_off_time = 1284537969.8 INFO 2025-06-26 15:49:33,624 lopcToNetCDF.py constructTimestampList():1322 [1] Duration is 389 seconds. Expecting to read 778 L frames from the lopc.bin file. INFO 2025-06-26 15:49:33,624 lopcToNetCDF.py constructTimestampList():1330 [1] recCount not passed in, assuming we'll have 778 records from the lopc.bin file. INFO 2025-06-26 15:49:33,624 lopcToNetCDF.py constructTimestampList():1340 [1] Calling correctSampleCountList() with sampleCountList[0] = 45474 and len(sampleCountList) = 782 INFO 2025-06-26 15:49:33,624 lopcToNetCDF.py correctSampleCountList():1737 [1] Found overflows at indices: [] INFO 2025-06-26 15:49:33,625 lopcToNetCDF.py correctSampleCountList():1745 [1] Original sampleCountList = [45474 45475 45476 45762 45763 45764 45765 45766 45767 45768 45769 45770 45771 45772 45773 45774 45775 45776 45777 45778 45779 45780 45781 45782 45783 45784 45785 45786 45787 45788 45789 45790 45791 45792 45793 45794 45795 45796 45797 45798 45799 45800 45801 45802 45803 45804 45805 45806 45807 45808 45809 45810 45811 45812 45813 45814 45815 45816 45817 45818 45819 45820 45821 45822 45823 45824 45825 45826 45827 45828 45829 45830 45831 45832 45833 45834 45835 45836 45837 45838 45839 45840 45841 45842 45843 45844 45845 45846 45847 45848 45849 45850 45851 45852 45853 45854 45855 45856 45857 45858 45859 45860 45861 45862 45863 45864 45865 45866 45867 45868 45869 45870 45871 45872 45873 45874 45875 45876 45877 45878 45879 45880 45881 45882 45883 45884 45885 45886 45887 45888 45889 45890 45891 45892 45893 45894 45895 45896 45897 45898 45899 45900 45901 45902 45903 45904 45905 45906 45907 45908 45909 45910 45911 45912 45913 45914 45915 45916 45917 45918 45919 45920 45921 45922 45923 45924 45925 45926 45927 45928 45929 45930 45931 45932 45933 45934 45935 45936 45937 45938 45939 45940 45941 45942 45943 45944 45945 45946 45947 45948 45949 45950 45951 45952 45953 45954 45955 45956 45957 45958 45959 45960 45961 45962 45963 45964 45965 45966 45967 45968 45969 45970 45971 45972 45973 45974 45975 45976 45977 45978 45979 45980 45981 45982 45983 45984 45985 45986 45987 45988 45989 45990 45991 45992 45993 45994 45995 45996 45997 45998 45999 46000 46001 46002 46003 46004 46005 46006 46007 46008 46009 46010 46011 46012 46013 46014 46015 46016 46017 46018 46019 46020 46021 46022 46023 46024 46025 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46358 46359 46360 46361 46362 46363 46364 46365 46366 46367 46368 46369 46370 46371 46372 46373 46374 46375 46376 46377 46378 46379 46380 46381 46382 46383 46384 46385 46386 46387 46388 46389 46390 46391 46392 46393 46394 46395 46396 46397 46398 46399 46400 46401 46402 46403 46404 46405 46406 46407 46408 46409 46410 46411 46412 46413 46414 46415 46416 46417 46418 46419 46420 46421 46422 46423 46424 46425 46426 46427 46428 46429 46430 46431 46432 46433 46434 46435 46436 46437 46438 46439 46440 46441 46442 46443 46444 46445 46446 46447 46448 46449 46450 46451 46452 46453 46454 46455 46456 46457 46458 46459 46460 46461 46462 46463 46464 46465 46466 46467 46468 46469 46470 46471 46472 46473 46474 46475 46476 46477 46478 46479 46480 46481 46482 46483 46484 46485 46486 46487 46488 46489 46490 46491 46492 46493 46494 46495 46496 46497 46498 46499 46500 46501 46502 46503 46504 46505 46506 46507 46508 46509 46510 46511 46512 46513 46514 46515 46516 46517 46518 46519 46520 46521 46522 46523 46524 46525 46526 46527 46528 46529 46530 46531 46532 46533 46534 46535 46536 46537 46538 46539 46540] INFO 2025-06-26 15:49:33,627 lopcToNetCDF.py correctSampleCountList():1746 [1] Found 0 0 values at indices: [] INFO 2025-06-26 15:49:33,627 lopcToNetCDF.py correctSampleCountList():1779 [1] Found 0 stuck values at indices: [] INFO 2025-06-26 15:49:33,627 lopcToNetCDF.py deSpike():1588 [1] d_sampleCountList = [ 1 1 286 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1] INFO 2025-06-26 15:49:33,630 lopcToNetCDF.py deSpike():1590 [1] Found 0 spike indicators at indices: [] INFO 2025-06-26 15:49:33,630 lopcToNetCDF.py correctSampleCountList():1805 [1] After despike() sampleCountList = [45474 45475 45476 45762 45763 45764 45765 45766 45767 45768 45769 45770 45771 45772 45773 45774 45775 45776 45777 45778 45779 45780 45781 45782 45783 45784 45785 45786 45787 45788 45789 45790 45791 45792 45793 45794 45795 45796 45797 45798 45799 45800 45801 45802 45803 45804 45805 45806 45807 45808 45809 45810 45811 45812 45813 45814 45815 45816 45817 45818 45819 45820 45821 45822 45823 45824 45825 45826 45827 45828 45829 45830 45831 45832 45833 45834 45835 45836 45837 45838 45839 45840 45841 45842 45843 45844 45845 45846 45847 45848 45849 45850 45851 45852 45853 45854 45855 45856 45857 45858 45859 45860 45861 45862 45863 45864 45865 45866 45867 45868 45869 45870 45871 45872 45873 45874 45875 45876 45877 45878 45879 45880 45881 45882 45883 45884 45885 45886 45887 45888 45889 45890 45891 45892 45893 45894 45895 45896 45897 45898 45899 45900 45901 45902 45903 45904 45905 45906 45907 45908 45909 45910 45911 45912 45913 45914 45915 45916 45917 45918 45919 45920 45921 45922 45923 45924 45925 45926 45927 45928 45929 45930 45931 45932 45933 45934 45935 45936 45937 45938 45939 45940 45941 45942 45943 45944 45945 45946 45947 45948 45949 45950 45951 45952 45953 45954 45955 45956 45957 45958 45959 45960 45961 45962 45963 45964 45965 45966 45967 45968 45969 45970 45971 45972 45973 45974 45975 45976 45977 45978 45979 45980 45981 45982 45983 45984 45985 45986 45987 45988 45989 45990 45991 45992 45993 45994 45995 45996 45997 45998 45999 46000 46001 46002 46003 46004 46005 46006 46007 46008 46009 46010 46011 46012 46013 46014 46015 46016 46017 46018 46019 46020 46021 46022 46023 46024 46025 46026 46027 46028 46029 46030 46031 46032 46033 46034 46035 46036 46037 46038 46039 46040 46041 46042 46043 46044 46045 46046 46047 46048 46049 46050 46051 46052 46053 46054 46055 46056 46057 46058 46059 46060 46061 46062 46063 46064 46065 46066 46067 46068 46069 46070 46071 46072 46073 46074 46075 46076 46077 46078 46079 46080 46081 46082 46083 46084 46085 46086 46087 46088 46089 46090 46091 46092 46093 46094 46095 46096 46097 46098 46099 46100 46101 46102 46103 46104 46105 46106 46107 46108 46109 46110 46111 46112 46113 46114 46115 46116 46117 46118 46119 46120 46121 46122 46123 46124 46125 46126 46127 46128 46129 46130 46131 46132 46133 46134 46135 46136 46137 46138 46139 46140 46141 46142 46143 46144 46145 46146 46147 46148 46149 46150 46151 46152 46153 46154 46155 46156 46157 46158 46159 46160 46161 46162 46163 46164 46165 46166 46167 46168 46169 46170 46171 46172 46173 46174 46175 46176 46177 46178 46179 46180 46181 46182 46183 46184 46185 46186 46187 46188 46189 46190 46191 46192 46193 46194 46195 46196 46197 46198 46199 46200 46201 46202 46203 46204 46205 46206 46207 46208 46209 46210 46211 46212 46213 46214 46215 46216 46217 46218 46219 46220 46221 46222 46223 46224 46225 46226 46227 46228 46229 46230 46231 46232 46233 46234 46235 46236 46237 46238 46239 46240 46241 46242 46243 46244 46245 46246 46247 46248 46249 46250 46251 46252 46253 46254 46255 46256 46257 46258 46259 46260 46261 46262 46263 46264 46265 46266 46267 46268 46269 46270 46271 46272 46273 46274 46275 46276 46277 46278 46279 46280 46281 46282 46283 46284 46285 46286 46287 46288 46289 46290 46291 46292 46293 46294 46295 46296 46297 46298 46299 46300 46301 46302 46303 46304 46305 46306 46307 46308 46309 46310 46311 46312 46313 46314 46315 46316 46317 46318 46319 46320 46321 46322 46323 46324 46325 46326 46327 46328 46329 46330 46331 46332 46333 46334 46335 46336 46337 46338 46339 46340 46341 46342 46343 46344 46345 46346 46347 46348 46349 46350 46351 46352 46353 46354 46355 46356 46357 46358 46359 46360 46361 46362 46363 46364 46365 46366 46367 46368 46369 46370 46371 46372 46373 46374 46375 46376 46377 46378 46379 46380 46381 46382 46383 46384 46385 46386 46387 46388 46389 46390 46391 46392 46393 46394 46395 46396 46397 46398 46399 46400 46401 46402 46403 46404 46405 46406 46407 46408 46409 46410 46411 46412 46413 46414 46415 46416 46417 46418 46419 46420 46421 46422 46423 46424 46425 46426 46427 46428 46429 46430 46431 46432 46433 46434 46435 46436 46437 46438 46439 46440 46441 46442 46443 46444 46445 46446 46447 46448 46449 46450 46451 46452 46453 46454 46455 46456 46457 46458 46459 46460 46461 46462 46463 46464 46465 46466 46467 46468 46469 46470 46471 46472 46473 46474 46475 46476 46477 46478 46479 46480 46481 46482 46483 46484 46485 46486 46487 46488 46489 46490 46491 46492 46493 46494 46495 46496 46497 46498 46499 46500 46501 46502 46503 46504 46505 46506 46507 46508 46509 46510 46511 46512 46513 46514 46515 46516 46517 46518 46519 46520 46521 46522 46523 46524 46525 46526 46527 46528 46529 46530 46531 46532 46533 46534 46535 46536 46537 46538 46539 46540] INFO 2025-06-26 15:49:33,633 lopcToNetCDF.py constructTimestampList():1347 [1] correctSampleCountList() returned correctedSampleCountList = [45474 45475 45476 45762 45763 45764 45765 45766 45767 45768 45769 45770 45771 45772 45773 45774 45775 45776 45777 45778 45779 45780 45781 45782 45783 45784 45785 45786 45787 45788 45789 45790 45791 45792 45793 45794 45795 45796 45797 45798 45799 45800 45801 45802 45803 45804 45805 45806 45807 45808 45809 45810 45811 45812 45813 45814 45815 45816 45817 45818 45819 45820 45821 45822 45823 45824 45825 45826 45827 45828 45829 45830 45831 45832 45833 45834 45835 45836 45837 45838 45839 45840 45841 45842 45843 45844 45845 45846 45847 45848 45849 45850 45851 45852 45853 45854 45855 45856 45857 45858 45859 45860 45861 45862 45863 45864 45865 45866 45867 45868 45869 45870 45871 45872 45873 45874 45875 45876 45877 45878 45879 45880 45881 45882 45883 45884 45885 45886 45887 45888 45889 45890 45891 45892 45893 45894 45895 45896 45897 45898 45899 45900 45901 45902 45903 45904 45905 45906 45907 45908 45909 45910 45911 45912 45913 45914 45915 45916 45917 45918 45919 45920 45921 45922 45923 45924 45925 45926 45927 45928 45929 45930 45931 45932 45933 45934 45935 45936 45937 45938 45939 45940 45941 45942 45943 45944 45945 45946 45947 45948 45949 45950 45951 45952 45953 45954 45955 45956 45957 45958 45959 45960 45961 45962 45963 45964 45965 45966 45967 45968 45969 45970 45971 45972 45973 45974 45975 45976 45977 45978 45979 45980 45981 45982 45983 45984 45985 45986 45987 45988 45989 45990 45991 45992 45993 45994 45995 45996 45997 45998 45999 46000 46001 46002 46003 46004 46005 46006 46007 46008 46009 46010 46011 46012 46013 46014 46015 46016 46017 46018 46019 46020 46021 46022 46023 46024 46025 46026 46027 46028 46029 46030 46031 46032 46033 46034 46035 46036 46037 46038 46039 46040 46041 46042 46043 46044 46045 46046 46047 46048 46049 46050 46051 46052 46053 46054 46055 46056 46057 46058 46059 46060 46061 46062 46063 46064 46065 46066 46067 46068 46069 46070 46071 46072 46073 46074 46075 46076 46077 46078 46079 46080 46081 46082 46083 46084 46085 46086 46087 46088 46089 46090 46091 46092 46093 46094 46095 46096 46097 46098 46099 46100 46101 46102 46103 46104 46105 46106 46107 46108 46109 46110 46111 46112 46113 46114 46115 46116 46117 46118 46119 46120 46121 46122 46123 46124 46125 46126 46127 46128 46129 46130 46131 46132 46133 46134 46135 46136 46137 46138 46139 46140 46141 46142 46143 46144 46145 46146 46147 46148 46149 46150 46151 46152 46153 46154 46155 46156 46157 46158 46159 46160 46161 46162 46163 46164 46165 46166 46167 46168 46169 46170 46171 46172 46173 46174 46175 46176 46177 46178 46179 46180 46181 46182 46183 46184 46185 46186 46187 46188 46189 46190 46191 46192 46193 46194 46195 46196 46197 46198 46199 46200 46201 46202 46203 46204 46205 46206 46207 46208 46209 46210 46211 46212 46213 46214 46215 46216 46217 46218 46219 46220 46221 46222 46223 46224 46225 46226 46227 46228 46229 46230 46231 46232 46233 46234 46235 46236 46237 46238 46239 46240 46241 46242 46243 46244 46245 46246 46247 46248 46249 46250 46251 46252 46253 46254 46255 46256 46257 46258 46259 46260 46261 46262 46263 46264 46265 46266 46267 46268 46269 46270 46271 46272 46273 46274 46275 46276 46277 46278 46279 46280 46281 46282 46283 46284 46285 46286 46287 46288 46289 46290 46291 46292 46293 46294 46295 46296 46297 46298 46299 46300 46301 46302 46303 46304 46305 46306 46307 46308 46309 46310 46311 46312 46313 46314 46315 46316 46317 46318 46319 46320 46321 46322 46323 46324 46325 46326 46327 46328 46329 46330 46331 46332 46333 46334 46335 46336 46337 46338 46339 46340 46341 46342 46343 46344 46345 46346 46347 46348 46349 46350 46351 46352 46353 46354 46355 46356 46357 46358 46359 46360 46361 46362 46363 46364 46365 46366 46367 46368 46369 46370 46371 46372 46373 46374 46375 46376 46377 46378 46379 46380 46381 46382 46383 46384 46385 46386 46387 46388 46389 46390 46391 46392 46393 46394 46395 46396 46397 46398 46399 46400 46401 46402 46403 46404 46405 46406 46407 46408 46409 46410 46411 46412 46413 46414 46415 46416 46417 46418 46419 46420 46421 46422 46423 46424 46425 46426 46427 46428 46429 46430 46431 46432 46433 46434 46435 46436 46437 46438 46439 46440 46441 46442 46443 46444 46445 46446 46447 46448 46449 46450 46451 46452 46453 46454 46455 46456 46457 46458 46459 46460 46461 46462 46463 46464 46465 46466 46467 46468 46469 46470 46471 46472 46473 46474 46475 46476 46477 46478 46479 46480 46481 46482 46483 46484 46485 46486 46487 46488 46489 46490 46491 46492 46493 46494 46495 46496 46497 46498 46499 46500 46501 46502 46503 46504 46505 46506 46507 46508 46509 46510 46511 46512 46513 46514 46515 46516 46517 46518 46519 46520 46521 46522 46523 46524 46525 46526 46527 46528 46529 46530 46531 46532 46533 46534 46535 46536 46537 46538 46539 46540] with len(correctedSampleCountList) = 782 INFO 2025-06-26 15:49:33,635 lopcToNetCDF.py constructTimestampList():1358 [1] Subtracting 45474 from all values of correctedSampleCountList INFO 2025-06-26 15:49:33,635 lopcToNetCDF.py constructTimestampList():1363 [1] Constructing timestampArray from instrument corrected sampleCount and constant deltaT = 0.500000 INFO 2025-06-26 15:49:33,636 lopcToNetCDF.py constructTimestampList():1368 [1] New re-zeroed correctedSampleCountList = [0.000e+00 5.000e-01 1.000e+00 1.440e+02 1.445e+02 1.450e+02 1.455e+02 1.460e+02 1.465e+02 1.470e+02 1.475e+02 1.480e+02 1.485e+02 1.490e+02 1.495e+02 1.500e+02 1.505e+02 1.510e+02 1.515e+02 1.520e+02 1.525e+02 1.530e+02 1.535e+02 1.540e+02 1.545e+02 1.550e+02 1.555e+02 1.560e+02 1.565e+02 1.570e+02 1.575e+02 1.580e+02 1.585e+02 1.590e+02 1.595e+02 1.600e+02 1.605e+02 1.610e+02 1.615e+02 1.620e+02 1.625e+02 1.630e+02 1.635e+02 1.640e+02 1.645e+02 1.650e+02 1.655e+02 1.660e+02 1.665e+02 1.670e+02 1.675e+02 1.680e+02 1.685e+02 1.690e+02 1.695e+02 1.700e+02 1.705e+02 1.710e+02 1.715e+02 1.720e+02 1.725e+02 1.730e+02 1.735e+02 1.740e+02 1.745e+02 1.750e+02 1.755e+02 1.760e+02 1.765e+02 1.770e+02 1.775e+02 1.780e+02 1.785e+02 1.790e+02 1.795e+02 1.800e+02 1.805e+02 1.810e+02 1.815e+02 1.820e+02 1.825e+02 1.830e+02 1.835e+02 1.840e+02 1.845e+02 1.850e+02 1.855e+02 1.860e+02 1.865e+02 1.870e+02 1.875e+02 1.880e+02 1.885e+02 1.890e+02 1.895e+02 1.900e+02 1.905e+02 1.910e+02 1.915e+02 1.920e+02 1.925e+02 1.930e+02 1.935e+02 1.940e+02 1.945e+02 1.950e+02 1.955e+02 1.960e+02 1.965e+02 1.970e+02 1.975e+02 1.980e+02 1.985e+02 1.990e+02 1.995e+02 2.000e+02 2.005e+02 2.010e+02 2.015e+02 2.020e+02 2.025e+02 2.030e+02 2.035e+02 2.040e+02 2.045e+02 2.050e+02 2.055e+02 2.060e+02 2.065e+02 2.070e+02 2.075e+02 2.080e+02 2.085e+02 2.090e+02 2.095e+02 2.100e+02 2.105e+02 2.110e+02 2.115e+02 2.120e+02 2.125e+02 2.130e+02 2.135e+02 2.140e+02 2.145e+02 2.150e+02 2.155e+02 2.160e+02 2.165e+02 2.170e+02 2.175e+02 2.180e+02 2.185e+02 2.190e+02 2.195e+02 2.200e+02 2.205e+02 2.210e+02 2.215e+02 2.220e+02 2.225e+02 2.230e+02 2.235e+02 2.240e+02 2.245e+02 2.250e+02 2.255e+02 2.260e+02 2.265e+02 2.270e+02 2.275e+02 2.280e+02 2.285e+02 2.290e+02 2.295e+02 2.300e+02 2.305e+02 2.310e+02 2.315e+02 2.320e+02 2.325e+02 2.330e+02 2.335e+02 2.340e+02 2.345e+02 2.350e+02 2.355e+02 2.360e+02 2.365e+02 2.370e+02 2.375e+02 2.380e+02 2.385e+02 2.390e+02 2.395e+02 2.400e+02 2.405e+02 2.410e+02 2.415e+02 2.420e+02 2.425e+02 2.430e+02 2.435e+02 2.440e+02 2.445e+02 2.450e+02 2.455e+02 2.460e+02 2.465e+02 2.470e+02 2.475e+02 2.480e+02 2.485e+02 2.490e+02 2.495e+02 2.500e+02 2.505e+02 2.510e+02 2.515e+02 2.520e+02 2.525e+02 2.530e+02 2.535e+02 2.540e+02 2.545e+02 2.550e+02 2.555e+02 2.560e+02 2.565e+02 2.570e+02 2.575e+02 2.580e+02 2.585e+02 2.590e+02 2.595e+02 2.600e+02 2.605e+02 2.610e+02 2.615e+02 2.620e+02 2.625e+02 2.630e+02 2.635e+02 2.640e+02 2.645e+02 2.650e+02 2.655e+02 2.660e+02 2.665e+02 2.670e+02 2.675e+02 2.680e+02 2.685e+02 2.690e+02 2.695e+02 2.700e+02 2.705e+02 2.710e+02 2.715e+02 2.720e+02 2.725e+02 2.730e+02 2.735e+02 2.740e+02 2.745e+02 2.750e+02 2.755e+02 2.760e+02 2.765e+02 2.770e+02 2.775e+02 2.780e+02 2.785e+02 2.790e+02 2.795e+02 2.800e+02 2.805e+02 2.810e+02 2.815e+02 2.820e+02 2.825e+02 2.830e+02 2.835e+02 2.840e+02 2.845e+02 2.850e+02 2.855e+02 2.860e+02 2.865e+02 2.870e+02 2.875e+02 2.880e+02 2.885e+02 2.890e+02 2.895e+02 2.900e+02 2.905e+02 2.910e+02 2.915e+02 2.920e+02 2.925e+02 2.930e+02 2.935e+02 2.940e+02 2.945e+02 2.950e+02 2.955e+02 2.960e+02 2.965e+02 2.970e+02 2.975e+02 2.980e+02 2.985e+02 2.990e+02 2.995e+02 3.000e+02 3.005e+02 3.010e+02 3.015e+02 3.020e+02 3.025e+02 3.030e+02 3.035e+02 3.040e+02 3.045e+02 3.050e+02 3.055e+02 3.060e+02 3.065e+02 3.070e+02 3.075e+02 3.080e+02 3.085e+02 3.090e+02 3.095e+02 3.100e+02 3.105e+02 3.110e+02 3.115e+02 3.120e+02 3.125e+02 3.130e+02 3.135e+02 3.140e+02 3.145e+02 3.150e+02 3.155e+02 3.160e+02 3.165e+02 3.170e+02 3.175e+02 3.180e+02 3.185e+02 3.190e+02 3.195e+02 3.200e+02 3.205e+02 3.210e+02 3.215e+02 3.220e+02 3.225e+02 3.230e+02 3.235e+02 3.240e+02 3.245e+02 3.250e+02 3.255e+02 3.260e+02 3.265e+02 3.270e+02 3.275e+02 3.280e+02 3.285e+02 3.290e+02 3.295e+02 3.300e+02 3.305e+02 3.310e+02 3.315e+02 3.320e+02 3.325e+02 3.330e+02 3.335e+02 3.340e+02 3.345e+02 3.350e+02 3.355e+02 3.360e+02 3.365e+02 3.370e+02 3.375e+02 3.380e+02 3.385e+02 3.390e+02 3.395e+02 3.400e+02 3.405e+02 3.410e+02 3.415e+02 3.420e+02 3.425e+02 3.430e+02 3.435e+02 3.440e+02 3.445e+02 3.450e+02 3.455e+02 3.460e+02 3.465e+02 3.470e+02 3.475e+02 3.480e+02 3.485e+02 3.490e+02 3.495e+02 3.500e+02 3.505e+02 3.510e+02 3.515e+02 3.520e+02 3.525e+02 3.530e+02 3.535e+02 3.540e+02 3.545e+02 3.550e+02 3.555e+02 3.560e+02 3.565e+02 3.570e+02 3.575e+02 3.580e+02 3.585e+02 3.590e+02 3.595e+02 3.600e+02 3.605e+02 3.610e+02 3.615e+02 3.620e+02 3.625e+02 3.630e+02 3.635e+02 3.640e+02 3.645e+02 3.650e+02 3.655e+02 3.660e+02 3.665e+02 3.670e+02 3.675e+02 3.680e+02 3.685e+02 3.690e+02 3.695e+02 3.700e+02 3.705e+02 3.710e+02 3.715e+02 3.720e+02 3.725e+02 3.730e+02 3.735e+02 3.740e+02 3.745e+02 3.750e+02 3.755e+02 3.760e+02 3.765e+02 3.770e+02 3.775e+02 3.780e+02 3.785e+02 3.790e+02 3.795e+02 3.800e+02 3.805e+02 3.810e+02 3.815e+02 3.820e+02 3.825e+02 3.830e+02 3.835e+02 3.840e+02 3.845e+02 3.850e+02 3.855e+02 3.860e+02 3.865e+02 3.870e+02 3.875e+02 3.880e+02 3.885e+02 3.890e+02 3.895e+02 3.900e+02 3.905e+02 3.910e+02 3.915e+02 3.920e+02 3.925e+02 3.930e+02 3.935e+02 3.940e+02 3.945e+02 3.950e+02 3.955e+02 3.960e+02 3.965e+02 3.970e+02 3.975e+02 3.980e+02 3.985e+02 3.990e+02 3.995e+02 4.000e+02 4.005e+02 4.010e+02 4.015e+02 4.020e+02 4.025e+02 4.030e+02 4.035e+02 4.040e+02 4.045e+02 4.050e+02 4.055e+02 4.060e+02 4.065e+02 4.070e+02 4.075e+02 4.080e+02 4.085e+02 4.090e+02 4.095e+02 4.100e+02 4.105e+02 4.110e+02 4.115e+02 4.120e+02 4.125e+02 4.130e+02 4.135e+02 4.140e+02 4.145e+02 4.150e+02 4.155e+02 4.160e+02 4.165e+02 4.170e+02 4.175e+02 4.180e+02 4.185e+02 4.190e+02 4.195e+02 4.200e+02 4.205e+02 4.210e+02 4.215e+02 4.220e+02 4.225e+02 4.230e+02 4.235e+02 4.240e+02 4.245e+02 4.250e+02 4.255e+02 4.260e+02 4.265e+02 4.270e+02 4.275e+02 4.280e+02 4.285e+02 4.290e+02 4.295e+02 4.300e+02 4.305e+02 4.310e+02 4.315e+02 4.320e+02 4.325e+02 4.330e+02 4.335e+02 4.340e+02 4.345e+02 4.350e+02 4.355e+02 4.360e+02 4.365e+02 4.370e+02 4.375e+02 4.380e+02 4.385e+02 4.390e+02 4.395e+02 4.400e+02 4.405e+02 4.410e+02 4.415e+02 4.420e+02 4.425e+02 4.430e+02 4.435e+02 4.440e+02 4.445e+02 4.450e+02 4.455e+02 4.460e+02 4.465e+02 4.470e+02 4.475e+02 4.480e+02 4.485e+02 4.490e+02 4.495e+02 4.500e+02 4.505e+02 4.510e+02 4.515e+02 4.520e+02 4.525e+02 4.530e+02 4.535e+02 4.540e+02 4.545e+02 4.550e+02 4.555e+02 4.560e+02 4.565e+02 4.570e+02 4.575e+02 4.580e+02 4.585e+02 4.590e+02 4.595e+02 4.600e+02 4.605e+02 4.610e+02 4.615e+02 4.620e+02 4.625e+02 4.630e+02 4.635e+02 4.640e+02 4.645e+02 4.650e+02 4.655e+02 4.660e+02 4.665e+02 4.670e+02 4.675e+02 4.680e+02 4.685e+02 4.690e+02 4.695e+02 4.700e+02 4.705e+02 4.710e+02 4.715e+02 4.720e+02 4.725e+02 4.730e+02 4.735e+02 4.740e+02 4.745e+02 4.750e+02 4.755e+02 4.760e+02 4.765e+02 4.770e+02 4.775e+02 4.780e+02 4.785e+02 4.790e+02 4.795e+02 4.800e+02 4.805e+02 4.810e+02 4.815e+02 4.820e+02 4.825e+02 4.830e+02 4.835e+02 4.840e+02 4.845e+02 4.850e+02 4.855e+02 4.860e+02 4.865e+02 4.870e+02 4.875e+02 4.880e+02 4.885e+02 4.890e+02 4.895e+02 4.900e+02 4.905e+02 4.910e+02 4.915e+02 4.920e+02 4.925e+02 4.930e+02 4.935e+02 4.940e+02 4.945e+02 4.950e+02 4.955e+02 4.960e+02 4.965e+02 4.970e+02 4.975e+02 4.980e+02 4.985e+02 4.990e+02 4.995e+02 5.000e+02 5.005e+02 5.010e+02 5.015e+02 5.020e+02 5.025e+02 5.030e+02 5.035e+02 5.040e+02 5.045e+02 5.050e+02 5.055e+02 5.060e+02 5.065e+02 5.070e+02 5.075e+02 5.080e+02 5.085e+02 5.090e+02 5.095e+02 5.100e+02 5.105e+02 5.110e+02 5.115e+02 5.120e+02 5.125e+02 5.130e+02 5.135e+02 5.140e+02 5.145e+02 5.150e+02 5.155e+02 5.160e+02 5.165e+02 5.170e+02 5.175e+02 5.180e+02 5.185e+02 5.190e+02 5.195e+02 5.200e+02 5.205e+02 5.210e+02 5.215e+02 5.220e+02 5.225e+02 5.230e+02 5.235e+02 5.240e+02 5.245e+02 5.250e+02 5.255e+02 5.260e+02 5.265e+02 5.270e+02 5.275e+02 5.280e+02 5.285e+02 5.290e+02 5.295e+02 5.300e+02 5.305e+02 5.310e+02 5.315e+02 5.320e+02 5.325e+02 5.330e+02] INFO 2025-06-26 15:49:33,642 lopcToNetCDF.py constructTimestampList():1379 [1] timestampArray = [1.28453758e+09 1.28453758e+09 1.28453758e+09 1.28453772e+09 1.28453773e+09 1.28453773e+09 1.28453773e+09 1.28453773e+09 1.28453773e+09 1.28453773e+09 1.28453773e+09 1.28453773e+09 1.28453773e+09 1.28453773e+09 1.28453773e+09 1.28453773e+09 1.28453773e+09 1.28453773e+09 1.28453773e+09 1.28453773e+09 1.28453773e+09 1.28453773e+09 1.28453773e+09 1.28453773e+09 1.28453774e+09 1.28453774e+09 1.28453774e+09 1.28453774e+09 1.28453774e+09 1.28453774e+09 1.28453774e+09 1.28453774e+09 1.28453774e+09 1.28453774e+09 1.28453774e+09 1.28453774e+09 1.28453774e+09 1.28453774e+09 1.28453774e+09 1.28453774e+09 1.28453774e+09 1.28453774e+09 1.28453774e+09 1.28453774e+09 1.28453775e+09 1.28453775e+09 1.28453775e+09 1.28453775e+09 1.28453775e+09 1.28453775e+09 1.28453775e+09 1.28453775e+09 1.28453775e+09 1.28453775e+09 1.28453775e+09 1.28453775e+09 1.28453775e+09 1.28453775e+09 1.28453775e+09 1.28453775e+09 1.28453775e+09 1.28453775e+09 1.28453775e+09 1.28453775e+09 1.28453776e+09 1.28453776e+09 1.28453776e+09 1.28453776e+09 1.28453776e+09 1.28453776e+09 1.28453776e+09 1.28453776e+09 1.28453776e+09 1.28453776e+09 1.28453776e+09 1.28453776e+09 1.28453776e+09 1.28453776e+09 1.28453776e+09 1.28453776e+09 1.28453776e+09 1.28453776e+09 1.28453776e+09 1.28453776e+09 1.28453777e+09 1.28453777e+09 1.28453777e+09 1.28453777e+09 1.28453777e+09 1.28453777e+09 1.28453777e+09 1.28453777e+09 1.28453777e+09 1.28453777e+09 1.28453777e+09 1.28453777e+09 1.28453777e+09 1.28453777e+09 1.28453777e+09 1.28453777e+09 1.28453777e+09 1.28453777e+09 1.28453777e+09 1.28453777e+09 1.28453778e+09 1.28453778e+09 1.28453778e+09 1.28453778e+09 1.28453778e+09 1.28453778e+09 1.28453778e+09 1.28453778e+09 1.28453778e+09 1.28453778e+09 1.28453778e+09 1.28453778e+09 1.28453778e+09 1.28453778e+09 1.28453778e+09 1.28453778e+09 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1.28453811e+09 1.28453811e+09] INFO 2025-06-26 15:49:33,648 lopcToNetCDF.py constructTimestampList():1380 [1] timestampArray[:2] = [1284537580.7 1284537581.2, ..., timestampArray[-2:] = 1284538113.2 1284538113.7] INFO 2025-06-26 15:49:33,649 lopcToNetCDF.py constructTimestampList():1389 [1] timestampList[:2] = [np.float64(1284537580.6560726), np.float64(1284537581.1560726)], ..., timestampList[-2:] = [np.float64(1284538113.1560726), np.float64(1284538113.6560726)]] INFO 2025-06-26 15:49:33,649 lopcToNetCDF.py constructTimestampList():1394 [1] Subsampling correctedSampleCountList (len = 782) according to what got written to the netCDF file by the binning interval INFO 2025-06-26 15:49:33,649 lopcToNetCDF.py constructTimestampList():1399 [1] lFrameCountWrittenList[:2] = [20, 41], ... lFrameCountWrittenList[-2:] = [755, 776] INFO 2025-06-26 15:49:33,649 lopcToNetCDF.py constructTimestampList():1420 [1] len(subSampledCorrectedSampleCountList) = 37 INFO 2025-06-26 15:49:33,649 lopcToNetCDF.py constructTimestampList():1439 [1] len(timestampList) = 782 INFO 2025-06-26 15:49:33,650 lopcToNetCDF.py constructTimestampList():1440 [1] timestampList[:2] = [np.float64(1284537580.6560726), np.float64(1284537581.1560726)], ..., timestampList[-2:] = [np.float64(1284538113.1560726), np.float64(1284538113.6560726)]] INFO 2025-06-26 15:49:33,650 lopcToNetCDF.py constructTimestampList():1446 [1] Subsampling timestampList (len = 782) according to what got written to the netCDF file by the binning interval INFO 2025-06-26 15:49:33,650 lopcToNetCDF.py constructTimestampList():1457 [1] Taking indices [[np.int32(19), np.int32(40)] ... [np.int32(754), np.int32(775)]] from timestampList to create subSampledTimestampList INFO 2025-06-26 15:49:33,650 lopcToNetCDF.py constructTimestampList():1463 [1] len(subSampledTimestampList) = 37 INFO 2025-06-26 15:49:33,650 lopcToNetCDF.py constructTimestampList():1477 [1] Finding elements of cFrameEsecsList that != -9999 INFO 2025-06-26 15:49:33,652 lopcToNetCDF.py closeNetCDFFile():2096 [1] Writing time axis for len(tsList) = 37 INFO 2025-06-26 15:49:33,652 lopcToNetCDF.py closeNetCDFFile():2099 [1] tsList[:1] = [np.float64(1284537732.6560726)], ..., tsList[-2:] = [np.float64(1284538100.1560726), np.float64(1284538110.6560726)] INFO 2025-06-26 15:49:33,652 lopcToNetCDF.py closeNetCDFFile():2100 [1] Begin time = 2010-09-15 08:02:12 Z INFO 2025-06-26 15:49:33,652 lopcToNetCDF.py closeNetCDFFile():2103 [1] End time = 2010-09-15 08:08:30 Z INFO 2025-06-26 15:49:33,652 lopcToNetCDF.py closeNetCDFFile():2107 [1] Writing time axis for len(cFrameEsecsList) = 37 INFO 2025-06-26 15:49:33,652 lopcToNetCDF.py closeNetCDFFile():2111 [1] cFrameEsecsList[:1] = [1.28453796e+09], ..., cFrameEsecsList[-2:] = [1.28453796e+09 1.28453796e+09] INFO 2025-06-26 15:49:33,652 lopcToNetCDF.py closeNetCDFFile():2116 [1] Begin time = 2010-09-15 08:06:04 Z INFO 2025-06-26 15:49:33,652 lopcToNetCDF.py closeNetCDFFile():2120 [1] End time = 2010-09-15 08:06:04 Z INFO 2025-06-26 15:49:33,656 lopcToNetCDF.py main():2381 [1] Created file: /data/auv_data/dorado/missionnetcdfs/2010.258.03/lopc.nc INFO 2025-06-26 15:49:33,656 lopcToNetCDF.py main():2384 [1] Processing finished: Thu Jun 26 15:49:33 2025 Elapsed processing time from start of processing = 0 seconds INFO 2025-06-26 15:49:33,657 process.py calibrate():227 [1] Calibration steps for 2010.258.03 INFO 2025-06-26 15:49:33,717 calibrate.py _nudge_pos():1680 [1] 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 2025-06-26 15:49:33,718 calibrate.py _nudge_pos():1711 [1] - - - 0 0.00 - - - INFO 2025-06-26 15:49:34,749 calibrate.py _nudge_pos():1806 [1] 152: 0.140 0.0000271 -0.0000240 30 0.10 41.900 -45.920 2010-09-15T08:02:15.305478400 INFO 2025-06-26 15:49:35,923 calibrate.py _nudge_pos():1806 [1] 279: 0.150 0.0000481 -0.0000088 455 1.51 4.749 -1.077 2010-09-15T08:05:52.310612736 INFO 2025-06-26 15:49:36,089 calibrate.py _nudge_pos():1862 [1] 247: - - - 2 0.00 - - INFO 2025-06-26 15:49:36,089 calibrate.py _nudge_pos():1868 [1] Points in final series = 1701 INFO 2025-06-26 15:49:36,094 calibrate.py _depth_process():2162 [1] Removing depths outside of valid_depth_range=Range(min=-1, max=110) for self.args.mission=2010.258.03 INFO 2025-06-26 15:49:36,096 calibrate.py _depth_process():2175 [1] Setting 8 depths values to NaN WARNING 2025-06-26 15:49:36,097 calibrate.py _depth_process():2193 [1] Expected sample_rate to be 10 Hz, instead it's 7.14 Hz INFO 2025-06-26 15:49:36,127 calibrate.py _geometric_depth_correction():3423 [1] hs2: d_beg_time_diff: 8 seconds, d_end_time_diff: -1 seconds INFO 2025-06-26 15:49:36,161 calibrate.py _geometric_depth_correction():3423 [1] ctd1: d_beg_time_diff: 27 seconds, d_end_time_diff: -1 seconds INFO 2025-06-26 15:49:36,174 calibrate.py _geometric_depth_correction():3423 [1] ctd1: d_beg_time_diff: 27 seconds, d_end_time_diff: -1 seconds INFO 2025-06-26 15:49:36,175 calibrate.py _ctd_process():2919 [1] Performing range checking of ['ctd1_salinity'] in 2010.258.03/ctd1.nc INFO 2025-06-26 15:49:36,176 calibrate.py _range_qc_combined_nc():898 [1] Setting 0 ctd1_salinity values to NaN INFO 2025-06-26 15:49:36,176 calibrate.py _range_qc_combined_nc():910 [1] Checked for data outside of these variables and ranges: [('ctd1_salinity', Range(min=30, max=40))] INFO 2025-06-26 15:49:36,176 calibrate.py _range_qc_combined_nc():936 [1] Done range checking ctd1 INFO 2025-06-26 15:49:36,203 calibrate.py _geometric_depth_correction():3423 [1] ctd2: d_beg_time_diff: 27 seconds, d_end_time_diff: -1 seconds INFO 2025-06-26 15:49:36,217 calibrate.py _geometric_depth_correction():3423 [1] ctd2: d_beg_time_diff: 27 seconds, d_end_time_diff: -1 seconds INFO 2025-06-26 15:49:36,218 calibrate.py _ctd_process():2919 [1] Performing range checking of ['ctd2_salinity'] in 2010.258.03/ctd2.nc INFO 2025-06-26 15:49:36,219 calibrate.py _range_qc_combined_nc():898 [1] Setting 0 ctd2_salinity values to NaN INFO 2025-06-26 15:49:36,220 calibrate.py _range_qc_combined_nc():910 [1] Checked for data outside of these variables and ranges: [('ctd2_salinity', Range(min=30, max=40))] INFO 2025-06-26 15:49:36,220 calibrate.py _range_qc_combined_nc():936 [1] Done range checking ctd2 ERROR 2025-06-26 15:49:36,226 calibrate.py process_logs():3542 [1] Error processing biolume: biolume has no orig_data - likely a missing or zero-sized .log file in missionlogs/2010.258.03 ERROR 2025-06-26 15:49:36,236 calibrate.py process_logs():3542 [1] Error processing ecopuck: ecopuck has no orig_data - likely a missing or zero-sized .log file in missionlogs/2010.258.03 INFO 2025-06-26 15:49:36,241 calibrate.py write_netcdf():3508 [1] Writing calibrated instrument data to /data/auv_data/dorado/missionnetcdfs/2010.258.03/dorado_2010.258.03_cal.nc INFO 2025-06-26 15:49:36,290 calibrate.py write_netcdf():3512 [1] Data variables written: ctd1_conductivity, ctd1_conductivity_onboard, ctd1_depth, ctd1_dissolvedO2, ctd1_flow1, ctd1_oxygen_mll, ctd1_oxygen_umolkg, ctd1_salinity, ctd1_salinity_onboard, ctd1_temperature, ctd1_temperature_onboard, ctd1_time, ctd2_conductivity, ctd2_conductivity_onboard, ctd2_depth, ctd2_flow2, ctd2_salinity, ctd2_salinity_onboard, ctd2_temperature, ctd2_temperature_onboard, ctd2_time, depth_filtdepth, depth_filtpres, depth_time, gps_latitude, gps_longitude, gps_time, hs2_bbp420, hs2_bbp700, hs2_depth, hs2_fl700, hs2_time, isus_nitrate, isus_quality, isus_temp, isus_time, lopc_LCcount, lopc_countListSum, lopc_flowSpeed, lopc_nonTransCount, lopc_time, lopc_transCount, navigation_depth, navigation_latitude, navigation_longitude, navigation_mWaterSpeed, navigation_pitch, navigation_posx, navigation_posy, navigation_roll, navigation_time, navigation_yaw, nudged_latitude, nudged_longitude, tailcone_propRpm, tailcone_time, time INFO 2025-06-26 15:49:36,294 process.py align():251 [1] Alignment steps for 2010.258.03 INFO 2025-06-26 15:49:36,319 align.py process_cal():139 [1] Processing dorado_2010.258.03_cal.nc from /data/auv_data/dorado/missionnetcdfs/2010.258.03 INFO 2025-06-26 15:49:36,324 align.py process_cal():206 [1] Using pitch corrected navigation_depth: mDepth from navigation.nc INFO 2025-06-26 15:49:36,325 align.py process_cal():249 [1] navigation_roll: instrument_sample_rate_hz = 4.99 INFO 2025-06-26 15:49:36,337 align.py process_cal():206 [1] Using pitch corrected navigation_depth: mDepth from navigation.nc INFO 2025-06-26 15:49:36,339 align.py process_cal():249 [1] navigation_pitch: instrument_sample_rate_hz = 4.99 INFO 2025-06-26 15:49:36,348 align.py process_cal():206 [1] Using pitch corrected navigation_depth: mDepth from navigation.nc INFO 2025-06-26 15:49:36,350 align.py process_cal():249 [1] navigation_yaw: instrument_sample_rate_hz = 4.99 INFO 2025-06-26 15:49:36,356 align.py process_cal():161 [1] Skipping navigation_posx INFO 2025-06-26 15:49:36,356 align.py process_cal():161 [1] Skipping navigation_posy INFO 2025-06-26 15:49:36,359 align.py process_cal():206 [1] Using pitch corrected navigation_depth: mDepth from navigation.nc INFO 2025-06-26 15:49:36,361 align.py process_cal():249 [1] navigation_mWaterSpeed: instrument_sample_rate_hz = 4.99 INFO 2025-06-26 15:49:36,371 align.py process_cal():206 [1] Using pitch corrected hs2_depth: Variable depth_filtdepth from dorado_2010.258.03_cal.nc linearly interpolated to hs2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:49:36,373 align.py process_cal():249 [1] hs2_bbp420: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:49:36,384 align.py process_cal():206 [1] Using pitch corrected hs2_depth: Variable depth_filtdepth from dorado_2010.258.03_cal.nc linearly interpolated to hs2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:49:36,386 align.py process_cal():249 [1] hs2_bbp700: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:49:36,396 align.py process_cal():206 [1] Using pitch corrected hs2_depth: Variable depth_filtdepth from dorado_2010.258.03_cal.nc linearly interpolated to hs2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:49:36,397 align.py process_cal():249 [1] hs2_fl700: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:49:36,407 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.258.03_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:49:36,409 align.py process_cal():249 [1] ctd1_temperature: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:49:36,419 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.258.03_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:49:36,421 align.py process_cal():249 [1] ctd1_conductivity: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:49:36,431 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.258.03_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:49:36,432 align.py process_cal():249 [1] ctd1_salinity: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:49:36,443 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.258.03_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:49:36,445 align.py process_cal():249 [1] ctd1_temperature_onboard: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:49:36,454 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.258.03_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:49:36,456 align.py process_cal():249 [1] ctd1_conductivity_onboard: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:49:36,465 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.258.03_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:49:36,467 align.py process_cal():249 [1] ctd1_salinity_onboard: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:49:36,476 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.258.03_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:49:36,477 align.py process_cal():249 [1] ctd1_dissolvedO2: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:49:36,486 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.258.03_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:49:36,488 align.py process_cal():249 [1] ctd1_oxygen_mll: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:49:36,497 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.258.03_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:49:36,499 align.py process_cal():249 [1] ctd1_oxygen_umolkg: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:49:36,508 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.258.03_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:49:36,510 align.py process_cal():249 [1] ctd1_flow1: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:49:36,519 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.258.03_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:49:36,520 align.py process_cal():249 [1] ctd1_depth: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:49:36,529 align.py process_cal():206 [1] Using pitch corrected ctd2_depth: Variable depth_filtdepth from dorado_2010.258.03_cal.nc linearly interpolated to ctd2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:49:36,531 align.py process_cal():249 [1] ctd2_temperature: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:49:36,540 align.py process_cal():206 [1] Using pitch corrected ctd2_depth: Variable depth_filtdepth from dorado_2010.258.03_cal.nc linearly interpolated to ctd2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:49:36,542 align.py process_cal():249 [1] ctd2_conductivity: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:49:36,552 align.py process_cal():206 [1] Using pitch corrected ctd2_depth: Variable depth_filtdepth from dorado_2010.258.03_cal.nc linearly interpolated to ctd2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:49:36,553 align.py process_cal():249 [1] ctd2_salinity: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:49:36,563 align.py process_cal():206 [1] Using pitch corrected ctd2_depth: Variable depth_filtdepth from dorado_2010.258.03_cal.nc linearly interpolated to ctd2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:49:36,565 align.py process_cal():249 [1] ctd2_temperature_onboard: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:49:36,575 align.py process_cal():206 [1] Using pitch corrected ctd2_depth: Variable depth_filtdepth from dorado_2010.258.03_cal.nc linearly interpolated to ctd2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:49:36,576 align.py process_cal():249 [1] ctd2_conductivity_onboard: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:49:36,586 align.py process_cal():206 [1] Using pitch corrected ctd2_depth: Variable depth_filtdepth from dorado_2010.258.03_cal.nc linearly interpolated to ctd2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:49:36,588 align.py process_cal():249 [1] ctd2_salinity_onboard: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:49:36,598 align.py process_cal():206 [1] Using pitch corrected ctd2_depth: Variable depth_filtdepth from dorado_2010.258.03_cal.nc linearly interpolated to ctd2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:49:36,600 align.py process_cal():249 [1] ctd2_flow2: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:49:36,610 align.py process_cal():206 [1] Using pitch corrected ctd2_depth: Variable depth_filtdepth from dorado_2010.258.03_cal.nc linearly interpolated to ctd2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:49:36,611 align.py process_cal():249 [1] ctd2_depth: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:49:36,624 align.py process_cal():249 [1] isus_nitrate: instrument_sample_rate_hz = 0.78 INFO 2025-06-26 15:49:36,636 align.py process_cal():249 [1] isus_temp: instrument_sample_rate_hz = 0.78 INFO 2025-06-26 15:49:36,649 align.py process_cal():249 [1] isus_quality: instrument_sample_rate_hz = 0.78 INFO 2025-06-26 15:49:36,661 align.py process_cal():249 [1] lopc_countListSum: instrument_sample_rate_hz = 0.10 INFO 2025-06-26 15:49:36,674 align.py process_cal():249 [1] lopc_transCount: instrument_sample_rate_hz = 0.10 INFO 2025-06-26 15:49:36,687 align.py process_cal():249 [1] lopc_nonTransCount: instrument_sample_rate_hz = 0.10 INFO 2025-06-26 15:49:36,700 align.py process_cal():249 [1] lopc_LCcount: instrument_sample_rate_hz = 0.10 INFO 2025-06-26 15:49:36,716 align.py process_cal():249 [1] lopc_flowSpeed: instrument_sample_rate_hz = 0.10 INFO 2025-06-26 15:49:36,734 align.py process_cal():249 [1] tailcone_propRpm: instrument_sample_rate_hz = 4.93 INFO 2025-06-26 15:49:36,745 align.py write_netcdf():337 [1] Writing aligned data to /data/auv_data/dorado/missionnetcdfs/2010.258.03/dorado_2010.258.03_align.nc INFO 2025-06-26 15:49:36,791 align.py write_netcdf():342 [1] Data variables written: ctd1_conductivity, ctd1_conductivity_onboard, ctd1_depth, ctd1_dissolvedO2, ctd1_flow1, ctd1_latitude, ctd1_longitude, ctd1_oxygen_mll, ctd1_oxygen_umolkg, ctd1_salinity, ctd1_salinity_onboard, ctd1_temperature, ctd1_temperature_onboard, ctd1_time, ctd2_conductivity, ctd2_conductivity_onboard, ctd2_depth, ctd2_flow2, ctd2_latitude, ctd2_longitude, ctd2_salinity, ctd2_salinity_onboard, ctd2_temperature, ctd2_temperature_onboard, ctd2_time, hs2_bbp420, hs2_bbp700, hs2_depth, hs2_fl700, hs2_latitude, hs2_longitude, hs2_time, isus_depth, isus_latitude, isus_longitude, isus_nitrate, isus_quality, isus_temp, isus_time, lopc_LCcount, lopc_countListSum, lopc_depth, lopc_flowSpeed, lopc_latitude, lopc_longitude, lopc_nonTransCount, lopc_time, lopc_transCount, navigation_depth, navigation_latitude, navigation_longitude, navigation_mWaterSpeed, navigation_pitch, navigation_roll, navigation_time, navigation_yaw, tailcone_depth, tailcone_latitude, tailcone_longitude, tailcone_propRpm, tailcone_time INFO 2025-06-26 15:49:36,793 process.py resample():273 [1] Resampling steps for 2010.258.03 INFO 2025-06-26 15:49:36,794 resample.py resample_mission():1185 [1] Using depth_threshold = 10.00 m INFO 2025-06-26 15:49:36,815 resample.py instruments_variables():235 [1] Reading variables from /data/auv_data/dorado/missionnetcdfs/2010.258.03/dorado_2010.258.03_align.nc mission netCDF file INFO 2025-06-26 15:49:36,820 resample.py instruments_variables():235 [1] Reading variables from /data/auv_data/dorado/missionnetcdfs/2010.258.03/dorado_2010.258.03_align.nc mission netCDF file INFO 2025-06-26 15:49:36,821 resample.py get_mission_start_end():1145 [1] navigation: 2010-09-15T08:00:28.722779648 to 2010-09-15T08:06:09.709420800 (0 days 00:02:20.946651904 before mission_end) INFO 2025-06-26 15:49:36,822 resample.py get_mission_start_end():1145 [1] hs2 : 2010-09-15T07:59:49.485467648 to 2010-09-15T08:06:09.779415808 (0 days 00:02:20.876656896 before mission_end) INFO 2025-06-26 15:49:36,823 resample.py get_mission_start_end():1145 [1] ctd1 : 2010-09-15T08:00:08.014198528 to 2010-09-15T08:06:09.739418624 (0 days 00:02:20.916654080 before mission_end) INFO 2025-06-26 15:49:36,825 resample.py get_mission_start_end():1145 [1] ctd2 : 2010-09-15T08:00:08.624156672 to 2010-09-15T08:06:09.599428096 (0 days 00:02:21.056644608 before mission_end) INFO 2025-06-26 15:49:36,826 resample.py get_mission_start_end():1145 [1] isus : 2010-09-15T08:00:57.170830848 to 2010-09-15T08:06:09.239452928 (0 days 00:02:21.416619776 before mission_end) INFO 2025-06-26 15:49:36,828 resample.py get_mission_start_end():1145 [1] lopc : 2010-09-15T08:02:12.656072704 to 2010-09-15T08:08:30.656072704 (0 days 00:00:00 before mission_end) INFO 2025-06-26 15:49:36,829 resample.py get_mission_start_end():1145 [1] tailcone : 2010-09-15T07:59:41.606007552 to 2010-09-15T08:06:09.809413888 (0 days 00:02:20.846658816 before mission_end) INFO 2025-06-26 15:49:36,830 resample.py instruments_variables():235 [1] Reading variables from /data/auv_data/dorado/missionnetcdfs/2010.258.03/dorado_2010.258.03_align.nc mission netCDF file INFO 2025-06-26 15:49:36,830 resample.py resample_coordinates():249 [1] Resampling coordinates depth, latitude and longitude with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:36,862 resample.py resample_variable():1031 [1] Resampling navigation_roll with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:36,871 resample.py resample_variable():1031 [1] Resampling navigation_pitch with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:36,879 resample.py resample_variable():1031 [1] Resampling navigation_yaw with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:36,887 resample.py resample_variable():1031 [1] Resampling navigation_mWaterSpeed with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:36,895 resample.py resample_variable():1031 [1] Resampling hs2_bbp420 with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:36,903 resample.py resample_variable():1031 [1] Resampling hs2_bbp700 with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:36,911 resample.py resample_variable():1031 [1] Resampling hs2_fl700 with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:36,919 resample.py resample_variable():1031 [1] Resampling ctd1_temperature with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:36,926 resample.py resample_variable():1031 [1] Resampling ctd1_conductivity with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:36,932 resample.py resample_variable():1031 [1] Resampling ctd1_salinity with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:36,939 resample.py resample_variable():1031 [1] Resampling ctd1_temperature_onboard with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:36,946 resample.py resample_variable():1031 [1] Resampling ctd1_conductivity_onboard with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:36,953 resample.py resample_variable():1031 [1] Resampling ctd1_salinity_onboard with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:36,960 resample.py resample_variable():1031 [1] Resampling ctd1_dissolvedO2 with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:36,966 resample.py resample_variable():1031 [1] Resampling ctd1_oxygen_mll with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:36,973 resample.py resample_variable():1031 [1] Resampling ctd1_oxygen_umolkg with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:36,980 resample.py resample_variable():1031 [1] Resampling ctd1_flow1 with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:36,988 resample.py resample_variable():1031 [1] Resampling ctd2_temperature with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:36,996 resample.py resample_variable():1031 [1] Resampling ctd2_conductivity with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:37,004 resample.py resample_variable():1031 [1] Resampling ctd2_salinity with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:37,012 resample.py resample_variable():1031 [1] Resampling ctd2_temperature_onboard with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:37,021 resample.py resample_variable():1031 [1] Resampling ctd2_conductivity_onboard with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:37,029 resample.py resample_variable():1031 [1] Resampling ctd2_salinity_onboard with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:37,037 resample.py resample_variable():1031 [1] Resampling ctd2_flow2 with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:37,045 resample.py resample_variable():1031 [1] Resampling isus_nitrate with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:37,053 resample.py resample_variable():1031 [1] Resampling isus_temp with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:37,061 resample.py resample_variable():1031 [1] Resampling isus_quality with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:37,069 resample.py resample_variable():1031 [1] Resampling lopc_countListSum with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:37,077 resample.py resample_variable():1031 [1] Resampling lopc_transCount with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:37,084 resample.py resample_variable():1031 [1] Resampling lopc_nonTransCount with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:37,092 resample.py resample_variable():1031 [1] Resampling lopc_LCcount with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:37,099 resample.py resample_variable():1031 [1] Resampling lopc_flowSpeed with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:37,108 resample.py resample_variable():1031 [1] Resampling tailcone_propRpm with frequency 1S following 3 point median filter INFO 2025-06-26 15:49:37,215 resample.py resample_mission():1297 [1] Saved resampled mission to /data/auv_data/dorado/missionnetcdfs/2010.258.03/dorado_2010.258.03_1S.nc INFO 2025-06-26 15:49:37,869 create_products.py gulper_odv():401 [1] No gulper times found for 2010.258.03 INFO 2025-06-26 15:49:37,869 process.py archive():337 [1] Archiving steps for 2010.258.03 INFO 2025-06-26 15:49:37,869 process.py archive():347 [1] nc_file_base = /data/auv_data/dorado/missionnetcdfs/2010.258.03/dorado_2010.258.03, BASE_PATH = /data/auv_data INFO 2025-06-26 15:49:37,869 archive.py copy_to_AUVTCD():60 [1] Archiving /data/auv_data/dorado/missionnetcdfs/2010.258.03/dorado_2010.258.03 files to /Volumes/AUVCTD/surveys/2010/netcdf INFO 2025-06-26 15:49:37,871 archive.py copy_to_AUVTCD():78 [1] Removing /Volumes/AUVCTD/surveys/2010/netcdf/dorado_2010.258.03_1S.nc INFO 2025-06-26 15:49:37,877 archive.py copy_to_AUVTCD():82 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.258.03/dorado_2010.258.03_1S.nc /Volumes/AUVCTD/surveys/2010/netcdf done. INFO 2025-06-26 15:49:37,878 archive.py copy_to_AUVTCD():78 [1] Removing /Volumes/AUVCTD/surveys/2010/netcdf/dorado_2010.258.03_cal.nc INFO 2025-06-26 15:49:37,887 archive.py copy_to_AUVTCD():82 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.258.03/dorado_2010.258.03_cal.nc /Volumes/AUVCTD/surveys/2010/netcdf done. INFO 2025-06-26 15:49:37,888 archive.py copy_to_AUVTCD():78 [1] Removing /Volumes/AUVCTD/surveys/2010/netcdf/dorado_2010.258.03_align.nc INFO 2025-06-26 15:49:37,896 archive.py copy_to_AUVTCD():82 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.258.03/dorado_2010.258.03_align.nc /Volumes/AUVCTD/surveys/2010/netcdf done. INFO 2025-06-26 15:49:37,902 archive.py copy_to_AUVTCD():108 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.258.03/ctdDriver.nc /Volumes/AUVCTD/missionnetcdfs/2010/2010258/2010.258.03 done. INFO 2025-06-26 15:49:37,908 archive.py copy_to_AUVTCD():108 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.258.03/ctdDriver2.nc /Volumes/AUVCTD/missionnetcdfs/2010/2010258/2010.258.03 done. INFO 2025-06-26 15:49:37,912 archive.py copy_to_AUVTCD():108 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.258.03/gps.nc /Volumes/AUVCTD/missionnetcdfs/2010/2010258/2010.258.03 done. INFO 2025-06-26 15:49:37,917 archive.py copy_to_AUVTCD():108 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.258.03/hydroscatlog.nc /Volumes/AUVCTD/missionnetcdfs/2010/2010258/2010.258.03 done. INFO 2025-06-26 15:49:37,922 archive.py copy_to_AUVTCD():108 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.258.03/navigation.nc /Volumes/AUVCTD/missionnetcdfs/2010/2010258/2010.258.03 done. INFO 2025-06-26 15:49:37,926 archive.py copy_to_AUVTCD():108 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.258.03/isuslog.nc /Volumes/AUVCTD/missionnetcdfs/2010/2010258/2010.258.03 done. INFO 2025-06-26 15:49:37,931 archive.py copy_to_AUVTCD():108 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.258.03/parosci.nc /Volumes/AUVCTD/missionnetcdfs/2010/2010258/2010.258.03 done. INFO 2025-06-26 15:49:37,936 archive.py copy_to_AUVTCD():108 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.258.03/tailCone.nc /Volumes/AUVCTD/missionnetcdfs/2010/2010258/2010.258.03 done. INFO 2025-06-26 15:49:37,943 archive.py copy_to_AUVTCD():108 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.258.03/lopc.nc /Volumes/AUVCTD/missionnetcdfs/2010/2010258/2010.258.03 done. INFO 2025-06-26 15:49:37,943 archive.py copy_to_AUVTCD():116 [1] Archiving product files INFO 2025-06-26 15:49:37,943 archive.py copy_to_AUVTCD():161 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.258.03/dorado_2010.258.03_processing.log /Volumes/AUVCTD/surveys/2010/netcdf