INFO 2025-06-26 15:48:18,351 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 15:48:18,352 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 15:48:18,352 process.py process_mission():449 [1] Processing AUVCTD mission 2010.257.09 by user docker_user on host eae60d30a712 INFO 2025-06-26 15:48:18,352 process.py download_process():165 [1] Download and processing steps for 2010.257.09 INFO 2025-06-26 15:48:18,352 logs2netcdfs.py download_process_logs():739 [1] src_dir = /Volumes/AUVCTD/missionlogs/2010/2010257/2010.257.09 INFO 2025-06-26 15:48:18,352 logs2netcdfs.py download_process_logs():768 [1] Rsyncing /Volumes/AUVCTD/missionlogs/2010/2010257/2010.257.09 to /data/auv_data/dorado/missionlogs/2010.257.09 INFO 2025-06-26 15:48:18,974 logs2netcdfs.py download_process_logs():779 [1] Processing mission: dorado 2010.257.09 INFO 2025-06-26 15:48:18,974 logs2netcdfs.py download_process_logs():788 [1] Processing file /data/auv_data/dorado/missionlogs/2010.257.09/ctdDriver.log (175979 bytes) INFO 2025-06-26 15:48:18,994 logs2netcdfs.py download_process_logs():788 [1] Processing file /data/auv_data/dorado/missionlogs/2010.257.09/ctdDriver2.log (175871 bytes) INFO 2025-06-26 15:48:19,012 logs2netcdfs.py download_process_logs():788 [1] Processing file /data/auv_data/dorado/missionlogs/2010.257.09/gps.log (35780 bytes) INFO 2025-06-26 15:48:19,023 logs2netcdfs.py download_process_logs():788 [1] Processing file /data/auv_data/dorado/missionlogs/2010.257.09/hydroscatlog.log (161554 bytes) INFO 2025-06-26 15:48:19,047 logs2netcdfs.py download_process_logs():788 [1] Processing file /data/auv_data/dorado/missionlogs/2010.257.09/navigation.log (514134 bytes) INFO 2025-06-26 15:48:19,100 logs2netcdfs.py download_process_logs():788 [1] Processing file /data/auv_data/dorado/missionlogs/2010.257.09/isuslog.log (11541 bytes) INFO 2025-06-26 15:48:19,105 logs2netcdfs.py _process_log_file():687 [1] Non-monotonic increasing time indices in /data/auv_data/dorado/missionlogs/2010.257.09/isuslog.log: [ 1 2 3 4 5 6 7 9 10 11 12 13 14 15 16 17 18 19] INFO 2025-06-26 15:48:19,106 logs2netcdfs.py download_process_logs():788 [1] Processing file /data/auv_data/dorado/missionlogs/2010.257.09/parosci.log (188294 bytes) INFO 2025-06-26 15:48:19,125 logs2netcdfs.py download_process_logs():788 [1] Processing file /data/auv_data/dorado/missionlogs/2010.257.09/tailCone.log (114859 bytes) INFO 2025-06-26 15:48:19,145 logs2netcdfs.py download_process_logs():807 [1] Time to process: 0.17 seconds INFO 2025-06-26 15:48:19,145 process.py download_process():198 [1] Processing file /data/auv_data/dorado/missionlogs/2010.257.09/lopc.bin (435000 bytes) INFO 2025-06-26 15:48:19,146 lopcToNetCDF.py main():2297 [1] Processing begun: Thu Jun 26 15:48:19 2025 INFO 2025-06-26 15:48:19,146 lopcToNetCDF.py constructTimestampList():1296 [1] parosci_nc = /data/auv_data/dorado/missionnetcdfs/2010.257.09/parosci.nc INFO 2025-06-26 15:48:19,146 lopcToNetCDF.py constructTimestampList():1297 [1] Using NetCDF4 to get start and end epoch seconds for this mission from this URL: INFO 2025-06-26 15:48:19,146 lopcToNetCDF.py constructTimestampList():1300 [1] /data/auv_data/dorado/missionnetcdfs/2010.257.09/parosci.nc INFO 2025-06-26 15:48:19,147 lopcToNetCDF.py constructTimestampList():1317 [1] From associated parosci.nc file: sensor_on_time = 1284502839.8, sensor_off_time = 1284503323.1 INFO 2025-06-26 15:48:19,147 lopcToNetCDF.py constructTimestampList():1322 [1] Duration is 483 seconds. Expecting to read 966 L frames from the lopc.bin file. INFO 2025-06-26 15:48:19,147 lopcToNetCDF.py constructTimestampList():1330 [1] recCount not passed in, assuming we'll have 966 records from the lopc.bin file. INFO 2025-06-26 15:48:19,153 lopcToNetCDF.py main():2321 [1] Examined sibling parosci.nc file to find startTime = 2010-09-14 22:20:39 Z and endTime = 2010-09-14 22:28:43 Z with 966 records expected to be read from lopc.bin INFO 2025-06-26 15:48:19,153 lopcToNetCDF.py unpackLOPCbin():723 [1] >>> Unpacking LOPC data from /data/auv_data/dorado/missionlogs/2010.257.09/lopc.bin INFO 2025-06-26 15:48:19,153 lopcToNetCDF.py unpackLOPCbin():724 [1] >>> Will write to NetCDF file /data/auv_data/dorado/missionnetcdfs/2010.257.09/lopc.nc INFO 2025-06-26 15:48:19,154 lopcToNetCDF.py openNetCDFFile():1861 [1] Will output NetCDF file to /data/auv_data/dorado/missionnetcdfs/2010.257.09/lopc.nc INFO 2025-06-26 15:48:19,154 lopcToNetCDF.py openNetCDFFile():1887 [1] missionName = 2010.257.09 INFO 2025-06-26 15:48:19,154 lopcToNetCDF.py openNetCDFFile():1910 [1] Writing bin axis for len(self.dataStructure['binSizeList']) = 994 WARNING 2025-06-26 15:48:19,157 lopcToNetCDF.py readCframeData():665 [1] Unable to parse a float from the string cstr[:70] = A0138549 WARNING 2025-06-26 15:48:19,157 lopcToNetCDF.py readCframeData():665 [1] Unable to parse a float from the string cstr[:70] = INFO 2025-06-26 15:48:19,205 lopcToNetCDF.py unpackLOPCbin():951 [1] L Frames sample M Frames ShortLFrame LBeforeMEnd MBeforeLEnd UnknownFrame Garbled L INFO 2025-06-26 15:48:19,206 lopcToNetCDF.py unpackLOPCbin():969 [1] Count Count Count Error Error Error Error Error INFO 2025-06-26 15:48:19,206 lopcToNetCDF.py unpackLOPCbin():987 [1] -------- -------- -------- ----------- ----------- ----------- ----------- ------------ INFO 2025-06-26 15:48:19,671 lopcToNetCDF.py main():2345 [1] >>> Done reading file. INFO 2025-06-26 15:48:19,671 lopcToNetCDF.py main():2346 [1] lFrameCount = 975, mFrameCount = 1308 INFO 2025-06-26 15:48:19,671 lopcToNetCDF.py constructTimestampList():1296 [1] parosci_nc = /data/auv_data/dorado/missionnetcdfs/2010.257.09/parosci.nc INFO 2025-06-26 15:48:19,672 lopcToNetCDF.py constructTimestampList():1297 [1] Using NetCDF4 to get start and end epoch seconds for this mission from this URL: INFO 2025-06-26 15:48:19,672 lopcToNetCDF.py constructTimestampList():1300 [1] /data/auv_data/dorado/missionnetcdfs/2010.257.09/parosci.nc INFO 2025-06-26 15:48:19,673 lopcToNetCDF.py constructTimestampList():1317 [1] From associated parosci.nc file: sensor_on_time = 1284502839.8, sensor_off_time = 1284503323.1 INFO 2025-06-26 15:48:19,673 lopcToNetCDF.py constructTimestampList():1322 [1] Duration is 483 seconds. Expecting to read 966 L frames from the lopc.bin file. INFO 2025-06-26 15:48:19,673 lopcToNetCDF.py constructTimestampList():1330 [1] recCount not passed in, assuming we'll have 966 records from the lopc.bin file. INFO 2025-06-26 15:48:19,674 lopcToNetCDF.py constructTimestampList():1340 [1] Calling correctSampleCountList() with sampleCountList[0] = 16961 and len(sampleCountList) = 975 INFO 2025-06-26 15:48:19,674 lopcToNetCDF.py correctSampleCountList():1737 [1] Found overflows at indices: [] INFO 2025-06-26 15:48:19,674 lopcToNetCDF.py correctSampleCountList():1745 [1] Original sampleCountList = [16961 16962 16963 16964 16965 16966 17656 17657 17658 17659 17660 17661 17662 17663 17664 17665 17666 17667 17668 17669 17670 17671 17672 17673 17674 17675 17676 17677 17678 17679 17680 17681 17682 17683 17684 17685 17686 17687 17688 17689 17690 17691 17692 17693 17694 17695 17696 17697 17698 17699 17700 17701 17702 17703 17704 17705 17706 17707 17708 17709 17710 17711 17712 17713 17714 17715 17716 17717 17718 17719 17720 17721 17722 17723 17724 17725 17726 17727 17728 17729 17730 17731 17732 17733 17734 17735 17736 17737 17738 17739 17740 17741 17742 17743 17744 17745 17746 17747 17748 17749 17750 17751 17752 17753 17754 17755 17756 17757 17758 17759 17760 17761 17762 17763 17764 17765 17766 17767 17768 17769 17770 17771 17772 17773 17774 17775 17776 17777 17778 17779 17780 17781 17782 17783 17784 17785 17786 17787 17788 17789 17790 17791 17792 17793 17794 17795 17796 17797 17798 17799 17800 17801 17802 17803 17804 17805 17806 17807 17808 17809 17810 17811 17812 17813 17814 17815 17816 17817 17818 17819 17820 17821 17822 17823 17824 17825 17826 17827 17828 17829 17830 17831 17832 17833 17834 17835 17836 17837 17838 17839 17840 17841 17842 17843 17844 17845 17846 17847 17848 17849 17850 17851 17852 17853 17854 17855 17856 17857 17858 17859 17860 17861 17862 17863 17864 17865 17866 17867 17868 17869 17870 17871 17872 17873 17874 17875 17876 17877 17878 17879 17880 17881 17882 17883 17884 17885 17886 17887 17888 17889 17890 17891 17892 17893 17894 17895 17896 17897 17898 17899 17900 17901 17902 17903 17904 17905 17906 17907 17908 17909 17910 17911 17912 17913 17914 17915 17916 17917 17918 17919 17920 17921 17922 17923 17924 17925 17926 17927 17928 17929 17930 17931 17932 17933 17934 17935 17936 17937 17938 17939 17940 17941 17942 17943 17944 17945 17946 17947 17948 17949 17950 17951 17952 17953 17954 17955 17956 17957 17958 17959 17960 17961 17962 17963 17964 17965 17966 17967 17968 17969 17970 17971 17972 17973 17974 17975 17976 17977 17978 17979 17980 17981 17982 17983 17984 17985 17986 17987 17988 17989 17990 17991 17992 17993 17994 17995 17996 17997 17998 17999 18000 18001 18002 18003 18004 18005 18006 18007 18008 18009 18010 18011 18012 18013 18014 18015 18016 18017 18018 18019 18020 18021 18022 18023 18024 18025 18026 18027 18028 18029 18030 18031 18032 18033 18034 18035 18036 18037 18038 18039 18040 18041 18042 18043 18044 18045 18046 18047 18048 18049 18050 18051 18052 18053 18054 18055 18056 18057 18058 18059 18060 18061 18062 18063 18064 18065 18066 18067 18068 18069 18070 18071 18072 18073 18074 18075 18076 18077 18078 18079 18080 18081 18082 18083 18084 18085 18086 18087 18088 18089 18090 18091 18092 18093 18094 18095 18096 18097 18098 18099 18100 18101 18102 18103 18104 18105 18106 18107 18108 18109 18110 18111 18112 18113 18114 18115 18116 18117 18118 18119 18120 18121 18122 18123 18124 18125 18126 18127 18128 18129 18130 18131 18132 18133 18134 18135 18136 18137 18138 18139 18140 18141 18142 18143 18144 18145 18146 18147 18148 18149 18150 18151 18152 18153 18154 18155 18156 18157 18158 18159 18160 18161 18162 18163 18164 18165 18166 18167 18168 18169 18170 18171 18172 18173 18174 18175 18176 18177 18178 18179 18180 18181 18182 18183 18184 18185 18186 18187 18188 18189 18190 18191 18192 18193 18194 18195 18196 18197 18198 18199 18200 18201 18202 18203 18204 18205 18206 18207 18208 18209 18210 18211 18212 18213 18214 18215 18216 18217 18218 18219 18220 18221 18222 18223 18224 18225 18226 18227 18228 18229 18230 18231 18232 18233 18234 18235 18236 18237 18238 18239 18240 18241 18242 18243 18244 18245 18246 18247 18248 18249 18250 18251 18252 18253 18254 18255 18256 18257 18258 18259 18260 18261 18262 18263 18264 18265 18266 18267 18268 18269 18270 18271 18272 18273 18274 18275 18276 18277 18278 18279 18280 18281 18282 18283 18284 18285 18286 18287 18288 18289 18290 18291 18292 18293 18294 18295 18296 18297 18298 18299 18300 18301 18302 18303 18304 18305 18306 18307 18308 18309 18310 18311 18312 18313 18314 18315 18316 18317 18318 18319 18320 18321 18322 18323 18324 18325 18326 18327 18328 18329 18330 18331 18332 18333 18334 18335 18336 18337 18338 18339 18340 18341 18342 18343 18344 18345 18346 18347 18348 18349 18350 18351 18352 18353 18354 18355 18356 18357 18358 18359 18360 18361 18362 18363 18364 18365 18366 18367 18368 18369 18370 18371 18372 18373 18374 18375 18376 18377 18378 18379 18380 18381 18382 18383 18384 18385 18386 18387 18388 18389 18390 18391 18392 18393 18394 18395 18396 18397 18398 18399 18400 18401 18402 18403 18404 18405 18406 18407 18408 18409 18410 18411 18412 18413 18414 18415 18416 18417 18418 18419 18420 18421 18422 18423 18424 18425 18426 18427 18428 18429 18430 18431 18432 18433 18434 18435 18436 18437 18438 18439 18440 18441 18442 18443 18444 18445 18446 18447 18448 18449 18450 18451 18452 18453 18454 18455 18456 18457 18458 18459 18460 18461 18462 18463 18464 18465 18466 18467 18468 18469 18470 18471 18472 18473 18474 18475 18476 18477 18478 18479 18480 18481 18482 18483 18484 18485 18486 18487 18488 18489 18490 18491 18492 18493 18494 18495 18496 18497 18498 18499 18500 18501 18502 18503 18504 18505 18506 18507 18508 18509 18510 18511 18512 18513 18514 18515 18516 18517 18518 18519 18520 18521 18522 18523 18524 18525 18526 18527 18528 18529 18530 18531 18532 18533 18534 18535 18536 18537 18538 18539 18540 18541 18542 18543 18544 18545 18546 18547 18548 18549 18550 18551 18552 18553 18554 18555 18556 18557 18558 18559 18560 18561 18562 18563 18564 18565 18566 18567 18568 18569 18570 18571 18572 18573 18574 18575 18576 18577 18578 18579 18580 18581 18582 18583 18584 18585 18586 18587 18588 18589 18590 18591 18592 18593 18594 18595 18596 18597 18598 18599 18600 18601 18602 18603 18604 18605 18606 18607 18608 18609 18610 18611 18612 18613 18614 18615 18616 18617 18618 18619 18620 18621 18622 18623 18624] INFO 2025-06-26 15:48:19,677 lopcToNetCDF.py correctSampleCountList():1746 [1] Found 0 0 values at indices: [] INFO 2025-06-26 15:48:19,677 lopcToNetCDF.py correctSampleCountList():1779 [1] Found 0 stuck values at indices: [] INFO 2025-06-26 15:48:19,677 lopcToNetCDF.py deSpike():1588 [1] d_sampleCountList = [ 1 1 1 1 1 690 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 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 15:48:19,680 lopcToNetCDF.py deSpike():1590 [1] Found 1 spike indicators at indices: [6] INFO 2025-06-26 15:48:19,680 lopcToNetCDF.py deSpike():1595 [1] Identifying nature of spike value = 17656 at index = 6 INFO 2025-06-26 15:48:19,680 lopcToNetCDF.py deSpike():1714 [1] This is the last element in spike_indx. No need to deSpike(). INFO 2025-06-26 15:48:19,681 lopcToNetCDF.py correctSampleCountList():1805 [1] After despike() sampleCountList = [16961 16962 16963 16964 16965 16966 17656 17657 17658 17659 17660 17661 17662 17663 17664 17665 17666 17667 17668 17669 17670 17671 17672 17673 17674 17675 17676 17677 17678 17679 17680 17681 17682 17683 17684 17685 17686 17687 17688 17689 17690 17691 17692 17693 17694 17695 17696 17697 17698 17699 17700 17701 17702 17703 17704 17705 17706 17707 17708 17709 17710 17711 17712 17713 17714 17715 17716 17717 17718 17719 17720 17721 17722 17723 17724 17725 17726 17727 17728 17729 17730 17731 17732 17733 17734 17735 17736 17737 17738 17739 17740 17741 17742 17743 17744 17745 17746 17747 17748 17749 17750 17751 17752 17753 17754 17755 17756 17757 17758 17759 17760 17761 17762 17763 17764 17765 17766 17767 17768 17769 17770 17771 17772 17773 17774 17775 17776 17777 17778 17779 17780 17781 17782 17783 17784 17785 17786 17787 17788 17789 17790 17791 17792 17793 17794 17795 17796 17797 17798 17799 17800 17801 17802 17803 17804 17805 17806 17807 17808 17809 17810 17811 17812 17813 17814 17815 17816 17817 17818 17819 17820 17821 17822 17823 17824 17825 17826 17827 17828 17829 17830 17831 17832 17833 17834 17835 17836 17837 17838 17839 17840 17841 17842 17843 17844 17845 17846 17847 17848 17849 17850 17851 17852 17853 17854 17855 17856 17857 17858 17859 17860 17861 17862 17863 17864 17865 17866 17867 17868 17869 17870 17871 17872 17873 17874 17875 17876 17877 17878 17879 17880 17881 17882 17883 17884 17885 17886 17887 17888 17889 17890 17891 17892 17893 17894 17895 17896 17897 17898 17899 17900 17901 17902 17903 17904 17905 17906 17907 17908 17909 17910 17911 17912 17913 17914 17915 17916 17917 17918 17919 17920 17921 17922 17923 17924 17925 17926 17927 17928 17929 17930 17931 17932 17933 17934 17935 17936 17937 17938 17939 17940 17941 17942 17943 17944 17945 17946 17947 17948 17949 17950 17951 17952 17953 17954 17955 17956 17957 17958 17959 17960 17961 17962 17963 17964 17965 17966 17967 17968 17969 17970 17971 17972 17973 17974 17975 17976 17977 17978 17979 17980 17981 17982 17983 17984 17985 17986 17987 17988 17989 17990 17991 17992 17993 17994 17995 17996 17997 17998 17999 18000 18001 18002 18003 18004 18005 18006 18007 18008 18009 18010 18011 18012 18013 18014 18015 18016 18017 18018 18019 18020 18021 18022 18023 18024 18025 18026 18027 18028 18029 18030 18031 18032 18033 18034 18035 18036 18037 18038 18039 18040 18041 18042 18043 18044 18045 18046 18047 18048 18049 18050 18051 18052 18053 18054 18055 18056 18057 18058 18059 18060 18061 18062 18063 18064 18065 18066 18067 18068 18069 18070 18071 18072 18073 18074 18075 18076 18077 18078 18079 18080 18081 18082 18083 18084 18085 18086 18087 18088 18089 18090 18091 18092 18093 18094 18095 18096 18097 18098 18099 18100 18101 18102 18103 18104 18105 18106 18107 18108 18109 18110 18111 18112 18113 18114 18115 18116 18117 18118 18119 18120 18121 18122 18123 18124 18125 18126 18127 18128 18129 18130 18131 18132 18133 18134 18135 18136 18137 18138 18139 18140 18141 18142 18143 18144 18145 18146 18147 18148 18149 18150 18151 18152 18153 18154 18155 18156 18157 18158 18159 18160 18161 18162 18163 18164 18165 18166 18167 18168 18169 18170 18171 18172 18173 18174 18175 18176 18177 18178 18179 18180 18181 18182 18183 18184 18185 18186 18187 18188 18189 18190 18191 18192 18193 18194 18195 18196 18197 18198 18199 18200 18201 18202 18203 18204 18205 18206 18207 18208 18209 18210 18211 18212 18213 18214 18215 18216 18217 18218 18219 18220 18221 18222 18223 18224 18225 18226 18227 18228 18229 18230 18231 18232 18233 18234 18235 18236 18237 18238 18239 18240 18241 18242 18243 18244 18245 18246 18247 18248 18249 18250 18251 18252 18253 18254 18255 18256 18257 18258 18259 18260 18261 18262 18263 18264 18265 18266 18267 18268 18269 18270 18271 18272 18273 18274 18275 18276 18277 18278 18279 18280 18281 18282 18283 18284 18285 18286 18287 18288 18289 18290 18291 18292 18293 18294 18295 18296 18297 18298 18299 18300 18301 18302 18303 18304 18305 18306 18307 18308 18309 18310 18311 18312 18313 18314 18315 18316 18317 18318 18319 18320 18321 18322 18323 18324 18325 18326 18327 18328 18329 18330 18331 18332 18333 18334 18335 18336 18337 18338 18339 18340 18341 18342 18343 18344 18345 18346 18347 18348 18349 18350 18351 18352 18353 18354 18355 18356 18357 18358 18359 18360 18361 18362 18363 18364 18365 18366 18367 18368 18369 18370 18371 18372 18373 18374 18375 18376 18377 18378 18379 18380 18381 18382 18383 18384 18385 18386 18387 18388 18389 18390 18391 18392 18393 18394 18395 18396 18397 18398 18399 18400 18401 18402 18403 18404 18405 18406 18407 18408 18409 18410 18411 18412 18413 18414 18415 18416 18417 18418 18419 18420 18421 18422 18423 18424 18425 18426 18427 18428 18429 18430 18431 18432 18433 18434 18435 18436 18437 18438 18439 18440 18441 18442 18443 18444 18445 18446 18447 18448 18449 18450 18451 18452 18453 18454 18455 18456 18457 18458 18459 18460 18461 18462 18463 18464 18465 18466 18467 18468 18469 18470 18471 18472 18473 18474 18475 18476 18477 18478 18479 18480 18481 18482 18483 18484 18485 18486 18487 18488 18489 18490 18491 18492 18493 18494 18495 18496 18497 18498 18499 18500 18501 18502 18503 18504 18505 18506 18507 18508 18509 18510 18511 18512 18513 18514 18515 18516 18517 18518 18519 18520 18521 18522 18523 18524 18525 18526 18527 18528 18529 18530 18531 18532 18533 18534 18535 18536 18537 18538 18539 18540 18541 18542 18543 18544 18545 18546 18547 18548 18549 18550 18551 18552 18553 18554 18555 18556 18557 18558 18559 18560 18561 18562 18563 18564 18565 18566 18567 18568 18569 18570 18571 18572 18573 18574 18575 18576 18577 18578 18579 18580 18581 18582 18583 18584 18585 18586 18587 18588 18589 18590 18591 18592 18593 18594 18595 18596 18597 18598 18599 18600 18601 18602 18603 18604 18605 18606 18607 18608 18609 18610 18611 18612 18613 18614 18615 18616 18617 18618 18619 18620 18621 18622 18623 18624] INFO 2025-06-26 15:48:19,684 lopcToNetCDF.py constructTimestampList():1347 [1] correctSampleCountList() returned correctedSampleCountList = [16961 16962 16963 16964 16965 16966 17656 17657 17658 17659 17660 17661 17662 17663 17664 17665 17666 17667 17668 17669 17670 17671 17672 17673 17674 17675 17676 17677 17678 17679 17680 17681 17682 17683 17684 17685 17686 17687 17688 17689 17690 17691 17692 17693 17694 17695 17696 17697 17698 17699 17700 17701 17702 17703 17704 17705 17706 17707 17708 17709 17710 17711 17712 17713 17714 17715 17716 17717 17718 17719 17720 17721 17722 17723 17724 17725 17726 17727 17728 17729 17730 17731 17732 17733 17734 17735 17736 17737 17738 17739 17740 17741 17742 17743 17744 17745 17746 17747 17748 17749 17750 17751 17752 17753 17754 17755 17756 17757 17758 17759 17760 17761 17762 17763 17764 17765 17766 17767 17768 17769 17770 17771 17772 17773 17774 17775 17776 17777 17778 17779 17780 17781 17782 17783 17784 17785 17786 17787 17788 17789 17790 17791 17792 17793 17794 17795 17796 17797 17798 17799 17800 17801 17802 17803 17804 17805 17806 17807 17808 17809 17810 17811 17812 17813 17814 17815 17816 17817 17818 17819 17820 17821 17822 17823 17824 17825 17826 17827 17828 17829 17830 17831 17832 17833 17834 17835 17836 17837 17838 17839 17840 17841 17842 17843 17844 17845 17846 17847 17848 17849 17850 17851 17852 17853 17854 17855 17856 17857 17858 17859 17860 17861 17862 17863 17864 17865 17866 17867 17868 17869 17870 17871 17872 17873 17874 17875 17876 17877 17878 17879 17880 17881 17882 17883 17884 17885 17886 17887 17888 17889 17890 17891 17892 17893 17894 17895 17896 17897 17898 17899 17900 17901 17902 17903 17904 17905 17906 17907 17908 17909 17910 17911 17912 17913 17914 17915 17916 17917 17918 17919 17920 17921 17922 17923 17924 17925 17926 17927 17928 17929 17930 17931 17932 17933 17934 17935 17936 17937 17938 17939 17940 17941 17942 17943 17944 17945 17946 17947 17948 17949 17950 17951 17952 17953 17954 17955 17956 17957 17958 17959 17960 17961 17962 17963 17964 17965 17966 17967 17968 17969 17970 17971 17972 17973 17974 17975 17976 17977 17978 17979 17980 17981 17982 17983 17984 17985 17986 17987 17988 17989 17990 17991 17992 17993 17994 17995 17996 17997 17998 17999 18000 18001 18002 18003 18004 18005 18006 18007 18008 18009 18010 18011 18012 18013 18014 18015 18016 18017 18018 18019 18020 18021 18022 18023 18024 18025 18026 18027 18028 18029 18030 18031 18032 18033 18034 18035 18036 18037 18038 18039 18040 18041 18042 18043 18044 18045 18046 18047 18048 18049 18050 18051 18052 18053 18054 18055 18056 18057 18058 18059 18060 18061 18062 18063 18064 18065 18066 18067 18068 18069 18070 18071 18072 18073 18074 18075 18076 18077 18078 18079 18080 18081 18082 18083 18084 18085 18086 18087 18088 18089 18090 18091 18092 18093 18094 18095 18096 18097 18098 18099 18100 18101 18102 18103 18104 18105 18106 18107 18108 18109 18110 18111 18112 18113 18114 18115 18116 18117 18118 18119 18120 18121 18122 18123 18124 18125 18126 18127 18128 18129 18130 18131 18132 18133 18134 18135 18136 18137 18138 18139 18140 18141 18142 18143 18144 18145 18146 18147 18148 18149 18150 18151 18152 18153 18154 18155 18156 18157 18158 18159 18160 18161 18162 18163 18164 18165 18166 18167 18168 18169 18170 18171 18172 18173 18174 18175 18176 18177 18178 18179 18180 18181 18182 18183 18184 18185 18186 18187 18188 18189 18190 18191 18192 18193 18194 18195 18196 18197 18198 18199 18200 18201 18202 18203 18204 18205 18206 18207 18208 18209 18210 18211 18212 18213 18214 18215 18216 18217 18218 18219 18220 18221 18222 18223 18224 18225 18226 18227 18228 18229 18230 18231 18232 18233 18234 18235 18236 18237 18238 18239 18240 18241 18242 18243 18244 18245 18246 18247 18248 18249 18250 18251 18252 18253 18254 18255 18256 18257 18258 18259 18260 18261 18262 18263 18264 18265 18266 18267 18268 18269 18270 18271 18272 18273 18274 18275 18276 18277 18278 18279 18280 18281 18282 18283 18284 18285 18286 18287 18288 18289 18290 18291 18292 18293 18294 18295 18296 18297 18298 18299 18300 18301 18302 18303 18304 18305 18306 18307 18308 18309 18310 18311 18312 18313 18314 18315 18316 18317 18318 18319 18320 18321 18322 18323 18324 18325 18326 18327 18328 18329 18330 18331 18332 18333 18334 18335 18336 18337 18338 18339 18340 18341 18342 18343 18344 18345 18346 18347 18348 18349 18350 18351 18352 18353 18354 18355 18356 18357 18358 18359 18360 18361 18362 18363 18364 18365 18366 18367 18368 18369 18370 18371 18372 18373 18374 18375 18376 18377 18378 18379 18380 18381 18382 18383 18384 18385 18386 18387 18388 18389 18390 18391 18392 18393 18394 18395 18396 18397 18398 18399 18400 18401 18402 18403 18404 18405 18406 18407 18408 18409 18410 18411 18412 18413 18414 18415 18416 18417 18418 18419 18420 18421 18422 18423 18424 18425 18426 18427 18428 18429 18430 18431 18432 18433 18434 18435 18436 18437 18438 18439 18440 18441 18442 18443 18444 18445 18446 18447 18448 18449 18450 18451 18452 18453 18454 18455 18456 18457 18458 18459 18460 18461 18462 18463 18464 18465 18466 18467 18468 18469 18470 18471 18472 18473 18474 18475 18476 18477 18478 18479 18480 18481 18482 18483 18484 18485 18486 18487 18488 18489 18490 18491 18492 18493 18494 18495 18496 18497 18498 18499 18500 18501 18502 18503 18504 18505 18506 18507 18508 18509 18510 18511 18512 18513 18514 18515 18516 18517 18518 18519 18520 18521 18522 18523 18524 18525 18526 18527 18528 18529 18530 18531 18532 18533 18534 18535 18536 18537 18538 18539 18540 18541 18542 18543 18544 18545 18546 18547 18548 18549 18550 18551 18552 18553 18554 18555 18556 18557 18558 18559 18560 18561 18562 18563 18564 18565 18566 18567 18568 18569 18570 18571 18572 18573 18574 18575 18576 18577 18578 18579 18580 18581 18582 18583 18584 18585 18586 18587 18588 18589 18590 18591 18592 18593 18594 18595 18596 18597 18598 18599 18600 18601 18602 18603 18604 18605 18606 18607 18608 18609 18610 18611 18612 18613 18614 18615 18616 18617 18618 18619 18620 18621 18622 18623 18624] with len(correctedSampleCountList) = 975 INFO 2025-06-26 15:48:19,687 lopcToNetCDF.py constructTimestampList():1358 [1] Subtracting 16961 from all values of correctedSampleCountList INFO 2025-06-26 15:48:19,687 lopcToNetCDF.py constructTimestampList():1363 [1] Constructing timestampArray from instrument corrected sampleCount and constant deltaT = 0.500000 INFO 2025-06-26 15:48:19,687 lopcToNetCDF.py constructTimestampList():1368 [1] New re-zeroed correctedSampleCountList = [0.000e+00 5.000e-01 1.000e+00 1.500e+00 2.000e+00 2.500e+00 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 5.335e+02 5.340e+02 5.345e+02 5.350e+02 5.355e+02 5.360e+02 5.365e+02 5.370e+02 5.375e+02 5.380e+02 5.385e+02 5.390e+02 5.395e+02 5.400e+02 5.405e+02 5.410e+02 5.415e+02 5.420e+02 5.425e+02 5.430e+02 5.435e+02 5.440e+02 5.445e+02 5.450e+02 5.455e+02 5.460e+02 5.465e+02 5.470e+02 5.475e+02 5.480e+02 5.485e+02 5.490e+02 5.495e+02 5.500e+02 5.505e+02 5.510e+02 5.515e+02 5.520e+02 5.525e+02 5.530e+02 5.535e+02 5.540e+02 5.545e+02 5.550e+02 5.555e+02 5.560e+02 5.565e+02 5.570e+02 5.575e+02 5.580e+02 5.585e+02 5.590e+02 5.595e+02 5.600e+02 5.605e+02 5.610e+02 5.615e+02 5.620e+02 5.625e+02 5.630e+02 5.635e+02 5.640e+02 5.645e+02 5.650e+02 5.655e+02 5.660e+02 5.665e+02 5.670e+02 5.675e+02 5.680e+02 5.685e+02 5.690e+02 5.695e+02 5.700e+02 5.705e+02 5.710e+02 5.715e+02 5.720e+02 5.725e+02 5.730e+02 5.735e+02 5.740e+02 5.745e+02 5.750e+02 5.755e+02 5.760e+02 5.765e+02 5.770e+02 5.775e+02 5.780e+02 5.785e+02 5.790e+02 5.795e+02 5.800e+02 5.805e+02 5.810e+02 5.815e+02 5.820e+02 5.825e+02 5.830e+02 5.835e+02 5.840e+02 5.845e+02 5.850e+02 5.855e+02 5.860e+02 5.865e+02 5.870e+02 5.875e+02 5.880e+02 5.885e+02 5.890e+02 5.895e+02 5.900e+02 5.905e+02 5.910e+02 5.915e+02 5.920e+02 5.925e+02 5.930e+02 5.935e+02 5.940e+02 5.945e+02 5.950e+02 5.955e+02 5.960e+02 5.965e+02 5.970e+02 5.975e+02 5.980e+02 5.985e+02 5.990e+02 5.995e+02 6.000e+02 6.005e+02 6.010e+02 6.015e+02 6.020e+02 6.025e+02 6.030e+02 6.035e+02 6.040e+02 6.045e+02 6.050e+02 6.055e+02 6.060e+02 6.065e+02 6.070e+02 6.075e+02 6.080e+02 6.085e+02 6.090e+02 6.095e+02 6.100e+02 6.105e+02 6.110e+02 6.115e+02 6.120e+02 6.125e+02 6.130e+02 6.135e+02 6.140e+02 6.145e+02 6.150e+02 6.155e+02 6.160e+02 6.165e+02 6.170e+02 6.175e+02 6.180e+02 6.185e+02 6.190e+02 6.195e+02 6.200e+02 6.205e+02 6.210e+02 6.215e+02 6.220e+02 6.225e+02 6.230e+02 6.235e+02 6.240e+02 6.245e+02 6.250e+02 6.255e+02 6.260e+02 6.265e+02 6.270e+02 6.275e+02 6.280e+02 6.285e+02 6.290e+02 6.295e+02 6.300e+02 6.305e+02 6.310e+02 6.315e+02 6.320e+02 6.325e+02 6.330e+02 6.335e+02 6.340e+02 6.345e+02 6.350e+02 6.355e+02 6.360e+02 6.365e+02 6.370e+02 6.375e+02 6.380e+02 6.385e+02 6.390e+02 6.395e+02 6.400e+02 6.405e+02 6.410e+02 6.415e+02 6.420e+02 6.425e+02 6.430e+02 6.435e+02 6.440e+02 6.445e+02 6.450e+02 6.455e+02 6.460e+02 6.465e+02 6.470e+02 6.475e+02 6.480e+02 6.485e+02 6.490e+02 6.495e+02 6.500e+02 6.505e+02 6.510e+02 6.515e+02 6.520e+02 6.525e+02 6.530e+02 6.535e+02 6.540e+02 6.545e+02 6.550e+02 6.555e+02 6.560e+02 6.565e+02 6.570e+02 6.575e+02 6.580e+02 6.585e+02 6.590e+02 6.595e+02 6.600e+02 6.605e+02 6.610e+02 6.615e+02 6.620e+02 6.625e+02 6.630e+02 6.635e+02 6.640e+02 6.645e+02 6.650e+02 6.655e+02 6.660e+02 6.665e+02 6.670e+02 6.675e+02 6.680e+02 6.685e+02 6.690e+02 6.695e+02 6.700e+02 6.705e+02 6.710e+02 6.715e+02 6.720e+02 6.725e+02 6.730e+02 6.735e+02 6.740e+02 6.745e+02 6.750e+02 6.755e+02 6.760e+02 6.765e+02 6.770e+02 6.775e+02 6.780e+02 6.785e+02 6.790e+02 6.795e+02 6.800e+02 6.805e+02 6.810e+02 6.815e+02 6.820e+02 6.825e+02 6.830e+02 6.835e+02 6.840e+02 6.845e+02 6.850e+02 6.855e+02 6.860e+02 6.865e+02 6.870e+02 6.875e+02 6.880e+02 6.885e+02 6.890e+02 6.895e+02 6.900e+02 6.905e+02 6.910e+02 6.915e+02 6.920e+02 6.925e+02 6.930e+02 6.935e+02 6.940e+02 6.945e+02 6.950e+02 6.955e+02 6.960e+02 6.965e+02 6.970e+02 6.975e+02 6.980e+02 6.985e+02 6.990e+02 6.995e+02 7.000e+02 7.005e+02 7.010e+02 7.015e+02 7.020e+02 7.025e+02 7.030e+02 7.035e+02 7.040e+02 7.045e+02 7.050e+02 7.055e+02 7.060e+02 7.065e+02 7.070e+02 7.075e+02 7.080e+02 7.085e+02 7.090e+02 7.095e+02 7.100e+02 7.105e+02 7.110e+02 7.115e+02 7.120e+02 7.125e+02 7.130e+02 7.135e+02 7.140e+02 7.145e+02 7.150e+02 7.155e+02 7.160e+02 7.165e+02 7.170e+02 7.175e+02 7.180e+02 7.185e+02 7.190e+02 7.195e+02 7.200e+02 7.205e+02 7.210e+02 7.215e+02 7.220e+02 7.225e+02 7.230e+02 7.235e+02 7.240e+02 7.245e+02 7.250e+02 7.255e+02 7.260e+02 7.265e+02 7.270e+02 7.275e+02 7.280e+02 7.285e+02 7.290e+02 7.295e+02 7.300e+02 7.305e+02 7.310e+02 7.315e+02 7.320e+02 7.325e+02 7.330e+02 7.335e+02 7.340e+02 7.345e+02 7.350e+02 7.355e+02 7.360e+02 7.365e+02 7.370e+02 7.375e+02 7.380e+02 7.385e+02 7.390e+02 7.395e+02 7.400e+02 7.405e+02 7.410e+02 7.415e+02 7.420e+02 7.425e+02 7.430e+02 7.435e+02 7.440e+02 7.445e+02 7.450e+02 7.455e+02 7.460e+02 7.465e+02 7.470e+02 7.475e+02 7.480e+02 7.485e+02 7.490e+02 7.495e+02 7.500e+02 7.505e+02 7.510e+02 7.515e+02 7.520e+02 7.525e+02 7.530e+02 7.535e+02 7.540e+02 7.545e+02 7.550e+02 7.555e+02 7.560e+02 7.565e+02 7.570e+02 7.575e+02 7.580e+02 7.585e+02 7.590e+02 7.595e+02 7.600e+02 7.605e+02 7.610e+02 7.615e+02 7.620e+02 7.625e+02 7.630e+02 7.635e+02 7.640e+02 7.645e+02 7.650e+02 7.655e+02 7.660e+02 7.665e+02 7.670e+02 7.675e+02 7.680e+02 7.685e+02 7.690e+02 7.695e+02 7.700e+02 7.705e+02 7.710e+02 7.715e+02 7.720e+02 7.725e+02 7.730e+02 7.735e+02 7.740e+02 7.745e+02 7.750e+02 7.755e+02 7.760e+02 7.765e+02 7.770e+02 7.775e+02 7.780e+02 7.785e+02 7.790e+02 7.795e+02 7.800e+02 7.805e+02 7.810e+02 7.815e+02 7.820e+02 7.825e+02 7.830e+02 7.835e+02 7.840e+02 7.845e+02 7.850e+02 7.855e+02 7.860e+02 7.865e+02 7.870e+02 7.875e+02 7.880e+02 7.885e+02 7.890e+02 7.895e+02 7.900e+02 7.905e+02 7.910e+02 7.915e+02 7.920e+02 7.925e+02 7.930e+02 7.935e+02 7.940e+02 7.945e+02 7.950e+02 7.955e+02 7.960e+02 7.965e+02 7.970e+02 7.975e+02 7.980e+02 7.985e+02 7.990e+02 7.995e+02 8.000e+02 8.005e+02 8.010e+02 8.015e+02 8.020e+02 8.025e+02 8.030e+02 8.035e+02 8.040e+02 8.045e+02 8.050e+02 8.055e+02 8.060e+02 8.065e+02 8.070e+02 8.075e+02 8.080e+02 8.085e+02 8.090e+02 8.095e+02 8.100e+02 8.105e+02 8.110e+02 8.115e+02 8.120e+02 8.125e+02 8.130e+02 8.135e+02 8.140e+02 8.145e+02 8.150e+02 8.155e+02 8.160e+02 8.165e+02 8.170e+02 8.175e+02 8.180e+02 8.185e+02 8.190e+02 8.195e+02 8.200e+02 8.205e+02 8.210e+02 8.215e+02 8.220e+02 8.225e+02 8.230e+02 8.235e+02 8.240e+02 8.245e+02 8.250e+02 8.255e+02 8.260e+02 8.265e+02 8.270e+02 8.275e+02 8.280e+02 8.285e+02 8.290e+02 8.295e+02 8.300e+02 8.305e+02 8.310e+02 8.315e+02] INFO 2025-06-26 15:48:19,694 lopcToNetCDF.py constructTimestampList():1379 [1] timestampArray = [1.28450284e+09 1.28450284e+09 1.28450284e+09 1.28450284e+09 1.28450284e+09 1.28450284e+09 1.28450319e+09 1.28450319e+09 1.28450319e+09 1.28450319e+09 1.28450319e+09 1.28450319e+09 1.28450319e+09 1.28450319e+09 1.28450319e+09 1.28450319e+09 1.28450319e+09 1.28450319e+09 1.28450319e+09 1.28450319e+09 1.28450319e+09 1.28450319e+09 1.28450320e+09 1.28450320e+09 1.28450320e+09 1.28450320e+09 1.28450320e+09 1.28450320e+09 1.28450320e+09 1.28450320e+09 1.28450320e+09 1.28450320e+09 1.28450320e+09 1.28450320e+09 1.28450320e+09 1.28450320e+09 1.28450320e+09 1.28450320e+09 1.28450320e+09 1.28450320e+09 1.28450320e+09 1.28450320e+09 1.28450321e+09 1.28450321e+09 1.28450321e+09 1.28450321e+09 1.28450321e+09 1.28450321e+09 1.28450321e+09 1.28450321e+09 1.28450321e+09 1.28450321e+09 1.28450321e+09 1.28450321e+09 1.28450321e+09 1.28450321e+09 1.28450321e+09 1.28450321e+09 1.28450321e+09 1.28450321e+09 1.28450321e+09 1.28450321e+09 1.28450322e+09 1.28450322e+09 1.28450322e+09 1.28450322e+09 1.28450322e+09 1.28450322e+09 1.28450322e+09 1.28450322e+09 1.28450322e+09 1.28450322e+09 1.28450322e+09 1.28450322e+09 1.28450322e+09 1.28450322e+09 1.28450322e+09 1.28450322e+09 1.28450322e+09 1.28450322e+09 1.28450322e+09 1.28450322e+09 1.28450323e+09 1.28450323e+09 1.28450323e+09 1.28450323e+09 1.28450323e+09 1.28450323e+09 1.28450323e+09 1.28450323e+09 1.28450323e+09 1.28450323e+09 1.28450323e+09 1.28450323e+09 1.28450323e+09 1.28450323e+09 1.28450323e+09 1.28450323e+09 1.28450323e+09 1.28450323e+09 1.28450323e+09 1.28450323e+09 1.28450324e+09 1.28450324e+09 1.28450324e+09 1.28450324e+09 1.28450324e+09 1.28450324e+09 1.28450324e+09 1.28450324e+09 1.28450324e+09 1.28450324e+09 1.28450324e+09 1.28450324e+09 1.28450324e+09 1.28450324e+09 1.28450324e+09 1.28450324e+09 1.28450324e+09 1.28450324e+09 1.28450324e+09 1.28450324e+09 1.28450325e+09 1.28450325e+09 1.28450325e+09 1.28450325e+09 1.28450325e+09 1.28450325e+09 1.28450325e+09 1.28450325e+09 1.28450325e+09 1.28450325e+09 1.28450325e+09 1.28450325e+09 1.28450325e+09 1.28450325e+09 1.28450325e+09 1.28450325e+09 1.28450325e+09 1.28450325e+09 1.28450325e+09 1.28450325e+09 1.28450326e+09 1.28450326e+09 1.28450326e+09 1.28450326e+09 1.28450326e+09 1.28450326e+09 1.28450326e+09 1.28450326e+09 1.28450326e+09 1.28450326e+09 1.28450326e+09 1.28450326e+09 1.28450326e+09 1.28450326e+09 1.28450326e+09 1.28450326e+09 1.28450326e+09 1.28450326e+09 1.28450326e+09 1.28450326e+09 1.28450327e+09 1.28450327e+09 1.28450327e+09 1.28450327e+09 1.28450327e+09 1.28450327e+09 1.28450327e+09 1.28450327e+09 1.28450327e+09 1.28450327e+09 1.28450327e+09 1.28450327e+09 1.28450327e+09 1.28450327e+09 1.28450327e+09 1.28450327e+09 1.28450327e+09 1.28450327e+09 1.28450327e+09 1.28450327e+09 1.28450328e+09 1.28450328e+09 1.28450328e+09 1.28450328e+09 1.28450328e+09 1.28450328e+09 1.28450328e+09 1.28450328e+09 1.28450328e+09 1.28450328e+09 1.28450328e+09 1.28450328e+09 1.28450328e+09 1.28450328e+09 1.28450328e+09 1.28450328e+09 1.28450328e+09 1.28450328e+09 1.28450328e+09 1.28450328e+09 1.28450329e+09 1.28450329e+09 1.28450329e+09 1.28450329e+09 1.28450329e+09 1.28450329e+09 1.28450329e+09 1.28450329e+09 1.28450329e+09 1.28450329e+09 1.28450329e+09 1.28450329e+09 1.28450329e+09 1.28450329e+09 1.28450329e+09 1.28450329e+09 1.28450329e+09 1.28450329e+09 1.28450329e+09 1.28450329e+09 1.28450330e+09 1.28450330e+09 1.28450330e+09 1.28450330e+09 1.28450330e+09 1.28450330e+09 1.28450330e+09 1.28450330e+09 1.28450330e+09 1.28450330e+09 1.28450330e+09 1.28450330e+09 1.28450330e+09 1.28450330e+09 1.28450330e+09 1.28450330e+09 1.28450330e+09 1.28450330e+09 1.28450330e+09 1.28450330e+09 1.28450331e+09 1.28450331e+09 1.28450331e+09 1.28450331e+09 1.28450331e+09 1.28450331e+09 1.28450331e+09 1.28450331e+09 1.28450331e+09 1.28450331e+09 1.28450331e+09 1.28450331e+09 1.28450331e+09 1.28450331e+09 1.28450331e+09 1.28450331e+09 1.28450331e+09 1.28450331e+09 1.28450331e+09 1.28450331e+09 1.28450332e+09 1.28450332e+09 1.28450332e+09 1.28450332e+09 1.28450332e+09 1.28450332e+09 1.28450332e+09 1.28450332e+09 1.28450332e+09 1.28450332e+09 1.28450332e+09 1.28450332e+09 1.28450332e+09 1.28450332e+09 1.28450332e+09 1.28450332e+09 1.28450332e+09 1.28450332e+09 1.28450332e+09 1.28450332e+09 1.28450333e+09 1.28450333e+09 1.28450333e+09 1.28450333e+09 1.28450333e+09 1.28450333e+09 1.28450333e+09 1.28450333e+09 1.28450333e+09 1.28450333e+09 1.28450333e+09 1.28450333e+09 1.28450333e+09 1.28450333e+09 1.28450333e+09 1.28450333e+09 1.28450333e+09 1.28450333e+09 1.28450333e+09 1.28450333e+09 1.28450334e+09 1.28450334e+09 1.28450334e+09 1.28450334e+09 1.28450334e+09 1.28450334e+09 1.28450334e+09 1.28450334e+09 1.28450334e+09 1.28450334e+09 1.28450334e+09 1.28450334e+09 1.28450334e+09 1.28450334e+09 1.28450334e+09 1.28450334e+09 1.28450334e+09 1.28450334e+09 1.28450334e+09 1.28450334e+09 1.28450335e+09 1.28450335e+09 1.28450335e+09 1.28450335e+09 1.28450335e+09 1.28450335e+09 1.28450335e+09 1.28450335e+09 1.28450335e+09 1.28450335e+09 1.28450335e+09 1.28450335e+09 1.28450335e+09 1.28450335e+09 1.28450335e+09 1.28450335e+09 1.28450335e+09 1.28450335e+09 1.28450335e+09 1.28450335e+09 1.28450336e+09 1.28450336e+09 1.28450336e+09 1.28450336e+09 1.28450336e+09 1.28450336e+09 1.28450336e+09 1.28450336e+09 1.28450336e+09 1.28450336e+09 1.28450336e+09 1.28450336e+09 1.28450336e+09 1.28450336e+09 1.28450336e+09 1.28450336e+09 1.28450336e+09 1.28450336e+09 1.28450336e+09 1.28450336e+09 1.28450337e+09 1.28450337e+09 1.28450337e+09 1.28450337e+09 1.28450337e+09 1.28450337e+09 1.28450337e+09 1.28450337e+09 1.28450337e+09 1.28450337e+09 1.28450337e+09 1.28450337e+09 1.28450337e+09 1.28450337e+09 1.28450337e+09 1.28450337e+09 1.28450337e+09 1.28450337e+09 1.28450337e+09 1.28450337e+09 1.28450338e+09 1.28450338e+09 1.28450338e+09 1.28450338e+09 1.28450338e+09 1.28450338e+09 1.28450338e+09 1.28450338e+09 1.28450338e+09 1.28450338e+09 1.28450338e+09 1.28450338e+09 1.28450338e+09 1.28450338e+09 1.28450338e+09 1.28450338e+09 1.28450338e+09 1.28450338e+09 1.28450338e+09 1.28450338e+09 1.28450339e+09 1.28450339e+09 1.28450339e+09 1.28450339e+09 1.28450339e+09 1.28450339e+09 1.28450339e+09 1.28450339e+09 1.28450339e+09 1.28450339e+09 1.28450339e+09 1.28450339e+09 1.28450339e+09 1.28450339e+09 1.28450339e+09 1.28450339e+09 1.28450339e+09 1.28450339e+09 1.28450339e+09 1.28450339e+09 1.28450340e+09 1.28450340e+09 1.28450340e+09 1.28450340e+09 1.28450340e+09 1.28450340e+09 1.28450340e+09 1.28450340e+09 1.28450340e+09 1.28450340e+09 1.28450340e+09 1.28450340e+09 1.28450340e+09 1.28450340e+09 1.28450340e+09 1.28450340e+09 1.28450340e+09 1.28450340e+09 1.28450340e+09 1.28450340e+09 1.28450341e+09 1.28450341e+09 1.28450341e+09 1.28450341e+09 1.28450341e+09 1.28450341e+09 1.28450341e+09 1.28450341e+09 1.28450341e+09 1.28450341e+09 1.28450341e+09 1.28450341e+09 1.28450341e+09 1.28450341e+09 1.28450341e+09 1.28450341e+09 1.28450341e+09 1.28450341e+09 1.28450341e+09 1.28450341e+09 1.28450342e+09 1.28450342e+09 1.28450342e+09 1.28450342e+09 1.28450342e+09 1.28450342e+09 1.28450342e+09 1.28450342e+09 1.28450342e+09 1.28450342e+09 1.28450342e+09 1.28450342e+09 1.28450342e+09 1.28450342e+09 1.28450342e+09 1.28450342e+09 1.28450342e+09 1.28450342e+09 1.28450342e+09 1.28450342e+09 1.28450343e+09 1.28450343e+09 1.28450343e+09 1.28450343e+09 1.28450343e+09 1.28450343e+09 1.28450343e+09 1.28450343e+09 1.28450343e+09 1.28450343e+09 1.28450343e+09 1.28450343e+09 1.28450343e+09 1.28450343e+09 1.28450343e+09 1.28450343e+09 1.28450343e+09 1.28450343e+09 1.28450343e+09 1.28450343e+09 1.28450344e+09 1.28450344e+09 1.28450344e+09 1.28450344e+09 1.28450344e+09 1.28450344e+09 1.28450344e+09 1.28450344e+09 1.28450344e+09 1.28450344e+09 1.28450344e+09 1.28450344e+09 1.28450344e+09 1.28450344e+09 1.28450344e+09 1.28450344e+09 1.28450344e+09 1.28450344e+09 1.28450344e+09 1.28450344e+09 1.28450345e+09 1.28450345e+09 1.28450345e+09 1.28450345e+09 1.28450345e+09 1.28450345e+09 1.28450345e+09 1.28450345e+09 1.28450345e+09 1.28450345e+09 1.28450345e+09 1.28450345e+09 1.28450345e+09 1.28450345e+09 1.28450345e+09 1.28450345e+09 1.28450345e+09 1.28450345e+09 1.28450345e+09 1.28450345e+09 1.28450346e+09 1.28450346e+09 1.28450346e+09 1.28450346e+09 1.28450346e+09 1.28450346e+09 1.28450346e+09 1.28450346e+09 1.28450346e+09 1.28450346e+09 1.28450346e+09 1.28450346e+09 1.28450346e+09 1.28450346e+09 1.28450346e+09 1.28450346e+09 1.28450346e+09 1.28450346e+09 1.28450346e+09 1.28450346e+09 1.28450347e+09 1.28450347e+09 1.28450347e+09 1.28450347e+09 1.28450347e+09 1.28450347e+09 1.28450347e+09 1.28450347e+09 1.28450347e+09 1.28450347e+09 1.28450347e+09 1.28450347e+09 1.28450347e+09 1.28450347e+09 1.28450347e+09 1.28450347e+09 1.28450347e+09 1.28450347e+09 1.28450347e+09 1.28450347e+09 1.28450348e+09 1.28450348e+09 1.28450348e+09 1.28450348e+09 1.28450348e+09 1.28450348e+09 1.28450348e+09 1.28450348e+09 1.28450348e+09 1.28450348e+09 1.28450348e+09 1.28450348e+09 1.28450348e+09 1.28450348e+09 1.28450348e+09 1.28450348e+09 1.28450348e+09 1.28450348e+09 1.28450348e+09 1.28450348e+09 1.28450349e+09 1.28450349e+09 1.28450349e+09 1.28450349e+09 1.28450349e+09 1.28450349e+09 1.28450349e+09 1.28450349e+09 1.28450349e+09 1.28450349e+09 1.28450349e+09 1.28450349e+09 1.28450349e+09 1.28450349e+09 1.28450349e+09 1.28450349e+09 1.28450349e+09 1.28450349e+09 1.28450349e+09 1.28450349e+09 1.28450350e+09 1.28450350e+09 1.28450350e+09 1.28450350e+09 1.28450350e+09 1.28450350e+09 1.28450350e+09 1.28450350e+09 1.28450350e+09 1.28450350e+09 1.28450350e+09 1.28450350e+09 1.28450350e+09 1.28450350e+09 1.28450350e+09 1.28450350e+09 1.28450350e+09 1.28450350e+09 1.28450350e+09 1.28450350e+09 1.28450351e+09 1.28450351e+09 1.28450351e+09 1.28450351e+09 1.28450351e+09 1.28450351e+09 1.28450351e+09 1.28450351e+09 1.28450351e+09 1.28450351e+09 1.28450351e+09 1.28450351e+09 1.28450351e+09 1.28450351e+09 1.28450351e+09 1.28450351e+09 1.28450351e+09 1.28450351e+09 1.28450351e+09 1.28450351e+09 1.28450352e+09 1.28450352e+09 1.28450352e+09 1.28450352e+09 1.28450352e+09 1.28450352e+09 1.28450352e+09 1.28450352e+09 1.28450352e+09 1.28450352e+09 1.28450352e+09 1.28450352e+09 1.28450352e+09 1.28450352e+09 1.28450352e+09 1.28450352e+09 1.28450352e+09 1.28450352e+09 1.28450352e+09 1.28450352e+09 1.28450353e+09 1.28450353e+09 1.28450353e+09 1.28450353e+09 1.28450353e+09 1.28450353e+09 1.28450353e+09 1.28450353e+09 1.28450353e+09 1.28450353e+09 1.28450353e+09 1.28450353e+09 1.28450353e+09 1.28450353e+09 1.28450353e+09 1.28450353e+09 1.28450353e+09 1.28450353e+09 1.28450353e+09 1.28450353e+09 1.28450354e+09 1.28450354e+09 1.28450354e+09 1.28450354e+09 1.28450354e+09 1.28450354e+09 1.28450354e+09 1.28450354e+09 1.28450354e+09 1.28450354e+09 1.28450354e+09 1.28450354e+09 1.28450354e+09 1.28450354e+09 1.28450354e+09 1.28450354e+09 1.28450354e+09 1.28450354e+09 1.28450354e+09 1.28450354e+09 1.28450355e+09 1.28450355e+09 1.28450355e+09 1.28450355e+09 1.28450355e+09 1.28450355e+09 1.28450355e+09 1.28450355e+09 1.28450355e+09 1.28450355e+09 1.28450355e+09 1.28450355e+09 1.28450355e+09 1.28450355e+09 1.28450355e+09 1.28450355e+09 1.28450355e+09 1.28450355e+09 1.28450355e+09 1.28450355e+09 1.28450356e+09 1.28450356e+09 1.28450356e+09 1.28450356e+09 1.28450356e+09 1.28450356e+09 1.28450356e+09 1.28450356e+09 1.28450356e+09 1.28450356e+09 1.28450356e+09 1.28450356e+09 1.28450356e+09 1.28450356e+09 1.28450356e+09 1.28450356e+09 1.28450356e+09 1.28450356e+09 1.28450356e+09 1.28450356e+09 1.28450357e+09 1.28450357e+09 1.28450357e+09 1.28450357e+09 1.28450357e+09 1.28450357e+09 1.28450357e+09 1.28450357e+09 1.28450357e+09 1.28450357e+09 1.28450357e+09 1.28450357e+09 1.28450357e+09 1.28450357e+09 1.28450357e+09 1.28450357e+09 1.28450357e+09 1.28450357e+09 1.28450357e+09 1.28450357e+09 1.28450358e+09 1.28450358e+09 1.28450358e+09 1.28450358e+09 1.28450358e+09 1.28450358e+09 1.28450358e+09 1.28450358e+09 1.28450358e+09 1.28450358e+09 1.28450358e+09 1.28450358e+09 1.28450358e+09 1.28450358e+09 1.28450358e+09 1.28450358e+09 1.28450358e+09 1.28450358e+09 1.28450358e+09 1.28450358e+09 1.28450359e+09 1.28450359e+09 1.28450359e+09 1.28450359e+09 1.28450359e+09 1.28450359e+09 1.28450359e+09 1.28450359e+09 1.28450359e+09 1.28450359e+09 1.28450359e+09 1.28450359e+09 1.28450359e+09 1.28450359e+09 1.28450359e+09 1.28450359e+09 1.28450359e+09 1.28450359e+09 1.28450359e+09 1.28450359e+09 1.28450360e+09 1.28450360e+09 1.28450360e+09 1.28450360e+09 1.28450360e+09 1.28450360e+09 1.28450360e+09 1.28450360e+09 1.28450360e+09 1.28450360e+09 1.28450360e+09 1.28450360e+09 1.28450360e+09 1.28450360e+09 1.28450360e+09 1.28450360e+09 1.28450360e+09 1.28450360e+09 1.28450360e+09 1.28450360e+09 1.28450361e+09 1.28450361e+09 1.28450361e+09 1.28450361e+09 1.28450361e+09 1.28450361e+09 1.28450361e+09 1.28450361e+09 1.28450361e+09 1.28450361e+09 1.28450361e+09 1.28450361e+09 1.28450361e+09 1.28450361e+09 1.28450361e+09 1.28450361e+09 1.28450361e+09 1.28450361e+09 1.28450361e+09 1.28450361e+09 1.28450362e+09 1.28450362e+09 1.28450362e+09 1.28450362e+09 1.28450362e+09 1.28450362e+09 1.28450362e+09 1.28450362e+09 1.28450362e+09 1.28450362e+09 1.28450362e+09 1.28450362e+09 1.28450362e+09 1.28450362e+09 1.28450362e+09 1.28450362e+09 1.28450362e+09 1.28450362e+09 1.28450362e+09 1.28450362e+09 1.28450363e+09 1.28450363e+09 1.28450363e+09 1.28450363e+09 1.28450363e+09 1.28450363e+09 1.28450363e+09 1.28450363e+09 1.28450363e+09 1.28450363e+09 1.28450363e+09 1.28450363e+09 1.28450363e+09 1.28450363e+09 1.28450363e+09 1.28450363e+09 1.28450363e+09 1.28450363e+09 1.28450363e+09 1.28450363e+09 1.28450364e+09 1.28450364e+09 1.28450364e+09 1.28450364e+09 1.28450364e+09 1.28450364e+09 1.28450364e+09 1.28450364e+09 1.28450364e+09 1.28450364e+09 1.28450364e+09 1.28450364e+09 1.28450364e+09 1.28450364e+09 1.28450364e+09 1.28450364e+09 1.28450364e+09 1.28450364e+09 1.28450364e+09 1.28450364e+09 1.28450365e+09 1.28450365e+09 1.28450365e+09 1.28450365e+09 1.28450365e+09 1.28450365e+09 1.28450365e+09 1.28450365e+09 1.28450365e+09 1.28450365e+09 1.28450365e+09 1.28450365e+09 1.28450365e+09 1.28450365e+09 1.28450365e+09 1.28450365e+09 1.28450365e+09 1.28450365e+09 1.28450365e+09 1.28450365e+09 1.28450366e+09 1.28450366e+09 1.28450366e+09 1.28450366e+09 1.28450366e+09 1.28450366e+09 1.28450366e+09 1.28450366e+09 1.28450366e+09 1.28450366e+09 1.28450366e+09 1.28450366e+09 1.28450366e+09 1.28450366e+09 1.28450366e+09 1.28450366e+09 1.28450366e+09 1.28450366e+09 1.28450366e+09 1.28450366e+09 1.28450367e+09 1.28450367e+09 1.28450367e+09 1.28450367e+09 1.28450367e+09 1.28450367e+09 1.28450367e+09 1.28450367e+09 1.28450367e+09 1.28450367e+09 1.28450367e+09 1.28450367e+09 1.28450367e+09] INFO 2025-06-26 15:48:19,703 lopcToNetCDF.py constructTimestampList():1380 [1] timestampArray[:2] = [1284502839.8 1284502840.3, ..., timestampArray[-2:] = 1284503670.8 1284503671.3] INFO 2025-06-26 15:48:19,704 lopcToNetCDF.py constructTimestampList():1389 [1] timestampList[:2] = [np.float64(1284502839.8129592), np.float64(1284502840.3129592)], ..., timestampList[-2:] = [np.float64(1284503670.8129592), np.float64(1284503671.3129592)]] INFO 2025-06-26 15:48:19,704 lopcToNetCDF.py constructTimestampList():1394 [1] Subsampling correctedSampleCountList (len = 975) according to what got written to the netCDF file by the binning interval INFO 2025-06-26 15:48:19,704 lopcToNetCDF.py constructTimestampList():1399 [1] lFrameCountWrittenList[:2] = [20, 41], ... lFrameCountWrittenList[-2:] = [944, 965] INFO 2025-06-26 15:48:19,704 lopcToNetCDF.py constructTimestampList():1420 [1] len(subSampledCorrectedSampleCountList) = 46 INFO 2025-06-26 15:48:19,704 lopcToNetCDF.py constructTimestampList():1439 [1] len(timestampList) = 975 INFO 2025-06-26 15:48:19,704 lopcToNetCDF.py constructTimestampList():1440 [1] timestampList[:2] = [np.float64(1284502839.8129592), np.float64(1284502840.3129592)], ..., timestampList[-2:] = [np.float64(1284503670.8129592), np.float64(1284503671.3129592)]] INFO 2025-06-26 15:48:19,704 lopcToNetCDF.py constructTimestampList():1446 [1] Subsampling timestampList (len = 975) according to what got written to the netCDF file by the binning interval INFO 2025-06-26 15:48:19,704 lopcToNetCDF.py constructTimestampList():1457 [1] Taking indices [[np.int32(19), np.int32(40)] ... [np.int32(943), np.int32(964)]] from timestampList to create subSampledTimestampList INFO 2025-06-26 15:48:19,704 lopcToNetCDF.py constructTimestampList():1463 [1] len(subSampledTimestampList) = 46 INFO 2025-06-26 15:48:19,704 lopcToNetCDF.py constructTimestampList():1477 [1] Finding elements of cFrameEsecsList that != -9999 INFO 2025-06-26 15:48:19,706 lopcToNetCDF.py closeNetCDFFile():2096 [1] Writing time axis for len(tsList) = 46 INFO 2025-06-26 15:48:19,706 lopcToNetCDF.py closeNetCDFFile():2099 [1] tsList[:1] = [np.float64(1284503193.8129592)], ..., tsList[-2:] = [np.float64(1284503655.8129592), np.float64(1284503666.3129592)] INFO 2025-06-26 15:48:19,706 lopcToNetCDF.py closeNetCDFFile():2100 [1] Begin time = 2010-09-14 22:26:33 Z INFO 2025-06-26 15:48:19,706 lopcToNetCDF.py closeNetCDFFile():2103 [1] End time = 2010-09-14 22:34:26 Z INFO 2025-06-26 15:48:19,706 lopcToNetCDF.py closeNetCDFFile():2107 [1] Writing time axis for len(cFrameEsecsList) = 46 INFO 2025-06-26 15:48:19,706 lopcToNetCDF.py closeNetCDFFile():2111 [1] cFrameEsecsList[:1] = [1.28450332e+09], ..., cFrameEsecsList[-2:] = [1.28450332e+09 1.28450332e+09] INFO 2025-06-26 15:48:19,707 lopcToNetCDF.py closeNetCDFFile():2116 [1] Begin time = 2010-09-14 22:28:41 Z INFO 2025-06-26 15:48:19,707 lopcToNetCDF.py closeNetCDFFile():2120 [1] End time = 2010-09-14 22:28:41 Z INFO 2025-06-26 15:48:19,710 lopcToNetCDF.py main():2381 [1] Created file: /data/auv_data/dorado/missionnetcdfs/2010.257.09/lopc.nc INFO 2025-06-26 15:48:19,710 lopcToNetCDF.py main():2384 [1] Processing finished: Thu Jun 26 15:48:19 2025 Elapsed processing time from start of processing = 0 seconds INFO 2025-06-26 15:48:19,711 process.py calibrate():227 [1] Calibration steps for 2010.257.09 WARNING 2025-06-26 15:48:19,765 calibrate.py _navigation_process():1588 [1] No positive depths found in 2010.257.09/navigation.nc INFO 2025-06-26 15:48:19,768 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 15:48:19,770 calibrate.py _nudge_pos():1711 [1] - - - 0 0.00 - - - INFO 2025-06-26 15:48:23,880 calibrate.py _nudge_pos():1862 [1] 435: - - - 5 0.01 - - INFO 2025-06-26 15:48:23,880 calibrate.py _nudge_pos():1868 [1] Points in final series = 2170 WARNING 2025-06-26 15:48:23,887 calibrate.py _depth_process():2193 [1] Expected sample_rate to be 10 Hz, instead it's 8.33 Hz INFO 2025-06-26 15:48:23,920 calibrate.py _geometric_depth_correction():3423 [1] hs2: d_beg_time_diff: 5 seconds, d_end_time_diff: -1 seconds INFO 2025-06-26 15:48:23,958 calibrate.py _geometric_depth_correction():3423 [1] ctd1: d_beg_time_diff: 27 seconds, d_end_time_diff: 0 seconds INFO 2025-06-26 15:48:23,974 calibrate.py _geometric_depth_correction():3423 [1] ctd1: d_beg_time_diff: 27 seconds, d_end_time_diff: 0 seconds INFO 2025-06-26 15:48:23,975 calibrate.py _ctd_process():2919 [1] Performing range checking of ['ctd1_salinity'] in 2010.257.09/ctd1.nc INFO 2025-06-26 15:48:23,976 calibrate.py _range_qc_combined_nc():898 [1] Setting 0 ctd1_salinity values to NaN INFO 2025-06-26 15:48:23,976 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 15:48:23,976 calibrate.py _range_qc_combined_nc():936 [1] Done range checking ctd1 INFO 2025-06-26 15:48:24,007 calibrate.py _geometric_depth_correction():3423 [1] ctd2: d_beg_time_diff: 27 seconds, d_end_time_diff: -1 seconds INFO 2025-06-26 15:48:24,023 calibrate.py _geometric_depth_correction():3423 [1] ctd2: d_beg_time_diff: 27 seconds, d_end_time_diff: -1 seconds INFO 2025-06-26 15:48:24,025 calibrate.py _ctd_process():2919 [1] Performing range checking of ['ctd2_salinity'] in 2010.257.09/ctd2.nc INFO 2025-06-26 15:48:24,026 calibrate.py _range_qc_combined_nc():898 [1] Setting 0 ctd2_salinity values to NaN INFO 2025-06-26 15:48:24,026 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 15:48:24,026 calibrate.py _range_qc_combined_nc():936 [1] Done range checking ctd2 ERROR 2025-06-26 15:48:24,048 calibrate.py process_logs():3542 [1] Error processing biolume: biolume has no orig_data - likely a missing or zero-sized .log file in missionlogs/2010.257.09 ERROR 2025-06-26 15:48:24,058 calibrate.py process_logs():3542 [1] Error processing ecopuck: ecopuck has no orig_data - likely a missing or zero-sized .log file in missionlogs/2010.257.09 INFO 2025-06-26 15:48:24,063 calibrate.py write_netcdf():3508 [1] Writing calibrated instrument data to /data/auv_data/dorado/missionnetcdfs/2010.257.09/dorado_2010.257.09_cal.nc INFO 2025-06-26 15:48:24,104 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 15:48:24,109 process.py align():251 [1] Alignment steps for 2010.257.09 INFO 2025-06-26 15:48:24,129 align.py process_cal():139 [1] Processing dorado_2010.257.09_cal.nc from /data/auv_data/dorado/missionnetcdfs/2010.257.09 INFO 2025-06-26 15:48:24,133 align.py process_cal():206 [1] Using pitch corrected navigation_depth: mDepth from navigation.nc INFO 2025-06-26 15:48:24,135 align.py process_cal():249 [1] navigation_roll: instrument_sample_rate_hz = 5.00 INFO 2025-06-26 15:48:24,145 align.py process_cal():206 [1] Using pitch corrected navigation_depth: mDepth from navigation.nc INFO 2025-06-26 15:48:24,146 align.py process_cal():249 [1] navigation_pitch: instrument_sample_rate_hz = 5.00 INFO 2025-06-26 15:48:24,155 align.py process_cal():206 [1] Using pitch corrected navigation_depth: mDepth from navigation.nc INFO 2025-06-26 15:48:24,157 align.py process_cal():249 [1] navigation_yaw: instrument_sample_rate_hz = 5.00 INFO 2025-06-26 15:48:24,163 align.py process_cal():161 [1] Skipping navigation_posx INFO 2025-06-26 15:48:24,163 align.py process_cal():161 [1] Skipping navigation_posy INFO 2025-06-26 15:48:24,168 align.py process_cal():206 [1] Using pitch corrected navigation_depth: mDepth from navigation.nc INFO 2025-06-26 15:48:24,171 align.py process_cal():249 [1] navigation_mWaterSpeed: instrument_sample_rate_hz = 5.00 INFO 2025-06-26 15:48:24,181 align.py process_cal():206 [1] Using pitch corrected hs2_depth: Variable depth_filtdepth from dorado_2010.257.09_cal.nc linearly interpolated to hs2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:24,182 align.py process_cal():249 [1] hs2_bbp420: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:24,191 align.py process_cal():206 [1] Using pitch corrected hs2_depth: Variable depth_filtdepth from dorado_2010.257.09_cal.nc linearly interpolated to hs2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:24,193 align.py process_cal():249 [1] hs2_bbp700: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:24,202 align.py process_cal():206 [1] Using pitch corrected hs2_depth: Variable depth_filtdepth from dorado_2010.257.09_cal.nc linearly interpolated to hs2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:24,203 align.py process_cal():249 [1] hs2_fl700: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:24,212 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.257.09_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:24,214 align.py process_cal():249 [1] ctd1_temperature: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:24,223 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.257.09_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:24,225 align.py process_cal():249 [1] ctd1_conductivity: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:24,234 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.257.09_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:24,235 align.py process_cal():249 [1] ctd1_salinity: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:24,244 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.257.09_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:24,246 align.py process_cal():249 [1] ctd1_temperature_onboard: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:24,255 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.257.09_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:24,257 align.py process_cal():249 [1] ctd1_conductivity_onboard: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:24,266 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.257.09_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:24,267 align.py process_cal():249 [1] ctd1_salinity_onboard: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:24,276 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.257.09_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:24,278 align.py process_cal():249 [1] ctd1_dissolvedO2: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:24,287 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.257.09_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:24,289 align.py process_cal():249 [1] ctd1_oxygen_mll: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:24,298 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.257.09_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:24,299 align.py process_cal():249 [1] ctd1_oxygen_umolkg: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:24,309 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.257.09_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:24,310 align.py process_cal():249 [1] ctd1_flow1: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:24,320 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.257.09_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:24,321 align.py process_cal():249 [1] ctd1_depth: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:24,331 align.py process_cal():206 [1] Using pitch corrected ctd2_depth: Variable depth_filtdepth from dorado_2010.257.09_cal.nc linearly interpolated to ctd2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:24,332 align.py process_cal():249 [1] ctd2_temperature: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:24,342 align.py process_cal():206 [1] Using pitch corrected ctd2_depth: Variable depth_filtdepth from dorado_2010.257.09_cal.nc linearly interpolated to ctd2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:24,344 align.py process_cal():249 [1] ctd2_conductivity: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:24,354 align.py process_cal():206 [1] Using pitch corrected ctd2_depth: Variable depth_filtdepth from dorado_2010.257.09_cal.nc linearly interpolated to ctd2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:24,355 align.py process_cal():249 [1] ctd2_salinity: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:24,365 align.py process_cal():206 [1] Using pitch corrected ctd2_depth: Variable depth_filtdepth from dorado_2010.257.09_cal.nc linearly interpolated to ctd2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:24,367 align.py process_cal():249 [1] ctd2_temperature_onboard: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:24,377 align.py process_cal():206 [1] Using pitch corrected ctd2_depth: Variable depth_filtdepth from dorado_2010.257.09_cal.nc linearly interpolated to ctd2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:24,378 align.py process_cal():249 [1] ctd2_conductivity_onboard: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:24,388 align.py process_cal():206 [1] Using pitch corrected ctd2_depth: Variable depth_filtdepth from dorado_2010.257.09_cal.nc linearly interpolated to ctd2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:24,390 align.py process_cal():249 [1] ctd2_salinity_onboard: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:24,400 align.py process_cal():206 [1] Using pitch corrected ctd2_depth: Variable depth_filtdepth from dorado_2010.257.09_cal.nc linearly interpolated to ctd2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:24,402 align.py process_cal():249 [1] ctd2_flow2: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:24,412 align.py process_cal():206 [1] Using pitch corrected ctd2_depth: Variable depth_filtdepth from dorado_2010.257.09_cal.nc linearly interpolated to ctd2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:24,413 align.py process_cal():249 [1] ctd2_depth: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:24,426 align.py process_cal():249 [1] isus_nitrate: instrument_sample_rate_hz = 0.79 INFO 2025-06-26 15:48:24,438 align.py process_cal():249 [1] isus_temp: instrument_sample_rate_hz = 0.79 INFO 2025-06-26 15:48:24,451 align.py process_cal():249 [1] isus_quality: instrument_sample_rate_hz = 0.79 INFO 2025-06-26 15:48:24,463 align.py process_cal():249 [1] lopc_countListSum: instrument_sample_rate_hz = 0.10 INFO 2025-06-26 15:48:24,476 align.py process_cal():249 [1] lopc_transCount: instrument_sample_rate_hz = 0.10 INFO 2025-06-26 15:48:24,488 align.py process_cal():249 [1] lopc_nonTransCount: instrument_sample_rate_hz = 0.10 INFO 2025-06-26 15:48:24,501 align.py process_cal():249 [1] lopc_LCcount: instrument_sample_rate_hz = 0.10 INFO 2025-06-26 15:48:24,514 align.py process_cal():249 [1] lopc_flowSpeed: instrument_sample_rate_hz = 0.10 INFO 2025-06-26 15:48:24,527 align.py process_cal():249 [1] tailcone_propRpm: instrument_sample_rate_hz = 4.94 INFO 2025-06-26 15:48:24,538 align.py write_netcdf():337 [1] Writing aligned data to /data/auv_data/dorado/missionnetcdfs/2010.257.09/dorado_2010.257.09_align.nc INFO 2025-06-26 15:48:24,585 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 15:48:24,588 process.py resample():273 [1] Resampling steps for 2010.257.09 INFO 2025-06-26 15:48:24,589 resample.py resample_mission():1185 [1] Using depth_threshold = 10.00 m INFO 2025-06-26 15:48:24,613 resample.py instruments_variables():235 [1] Reading variables from /data/auv_data/dorado/missionnetcdfs/2010.257.09/dorado_2010.257.09_align.nc mission netCDF file INFO 2025-06-26 15:48:24,617 resample.py instruments_variables():235 [1] Reading variables from /data/auv_data/dorado/missionnetcdfs/2010.257.09/dorado_2010.257.09_align.nc mission netCDF file INFO 2025-06-26 15:48:24,618 resample.py get_mission_start_end():1145 [1] navigation: 2010-09-14T22:21:29.229573888 to 2010-09-14T22:28:43.039855872 (0 days 00:05:43.273103360 before mission_end) WARNING 2025-06-26 15:48:24,619 resample.py get_mission_start_end():1156 [1] Instrument navigation has a gap > 5 minutes at the end of the mission: 0 days 00:05:43.273103360 INFO 2025-06-26 15:48:24,620 resample.py get_mission_start_end():1145 [1] hs2 : 2010-09-14T22:20:45.722554368 to 2010-09-14T22:28:43.029856768 (0 days 00:05:43.283102464 before mission_end) WARNING 2025-06-26 15:48:24,621 resample.py get_mission_start_end():1156 [1] Instrument hs2 has a gap > 5 minutes at the end of the mission: 0 days 00:05:43.283102464 INFO 2025-06-26 15:48:24,622 resample.py get_mission_start_end():1145 [1] ctd1 : 2010-09-14T22:21:06.941100800 to 2010-09-14T22:28:43.169847040 (0 days 00:05:43.143112192 before mission_end) WARNING 2025-06-26 15:48:24,623 resample.py get_mission_start_end():1156 [1] Instrument ctd1 has a gap > 5 minutes at the end of the mission: 0 days 00:05:43.143112192 INFO 2025-06-26 15:48:24,624 resample.py get_mission_start_end():1145 [1] ctd2 : 2010-09-14T22:21:07.051093248 to 2010-09-14T22:28:43.029856768 (0 days 00:05:43.283102464 before mission_end) WARNING 2025-06-26 15:48:24,625 resample.py get_mission_start_end():1156 [1] Instrument ctd2 has a gap > 5 minutes at the end of the mission: 0 days 00:05:43.283102464 INFO 2025-06-26 15:48:24,626 resample.py get_mission_start_end():1145 [1] isus : 2010-09-14T22:21:38.598931968 to 2010-09-14T22:28:42.369901824 (0 days 00:05:43.943057408 before mission_end) WARNING 2025-06-26 15:48:24,626 resample.py get_mission_start_end():1156 [1] Instrument isus has a gap > 5 minutes at the end of the mission: 0 days 00:05:43.943057408 INFO 2025-06-26 15:48:24,627 resample.py get_mission_start_end():1145 [1] lopc : 2010-09-14T22:26:33.812959232 to 2010-09-14T22:34:26.312959232 (0 days 00:00:00 before mission_end) INFO 2025-06-26 15:48:24,628 resample.py get_mission_start_end():1145 [1] tailcone : 2010-09-14T22:20:41.492844032 to 2010-09-14T22:28:43.089852672 (0 days 00:05:43.223106560 before mission_end) WARNING 2025-06-26 15:48:24,629 resample.py get_mission_start_end():1156 [1] Instrument tailcone has a gap > 5 minutes at the end of the mission: 0 days 00:05:43.223106560 INFO 2025-06-26 15:48:24,629 resample.py instruments_variables():235 [1] Reading variables from /data/auv_data/dorado/missionnetcdfs/2010.257.09/dorado_2010.257.09_align.nc mission netCDF file INFO 2025-06-26 15:48:24,630 resample.py resample_coordinates():249 [1] Resampling coordinates depth, latitude and longitude with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,661 resample.py resample_variable():1031 [1] Resampling navigation_roll with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,662 resample.py resample_variable():1038 [1] Padding navigation_roll with 0 days 00:05:43.273103360 of NaNs to the end of mission INFO 2025-06-26 15:48:24,671 resample.py resample_variable():1031 [1] Resampling navigation_pitch with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,671 resample.py resample_variable():1038 [1] Padding navigation_pitch with 0 days 00:05:43.273103360 of NaNs to the end of mission INFO 2025-06-26 15:48:24,680 resample.py resample_variable():1031 [1] Resampling navigation_yaw with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,680 resample.py resample_variable():1038 [1] Padding navigation_yaw with 0 days 00:05:43.273103360 of NaNs to the end of mission INFO 2025-06-26 15:48:24,689 resample.py resample_variable():1031 [1] Resampling navigation_mWaterSpeed with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,689 resample.py resample_variable():1038 [1] Padding navigation_mWaterSpeed with 0 days 00:05:43.273103360 of NaNs to the end of mission INFO 2025-06-26 15:48:24,698 resample.py resample_variable():1031 [1] Resampling hs2_bbp420 with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,699 resample.py resample_variable():1038 [1] Padding hs2_bbp420 with 0 days 00:05:43.283102464 of NaNs to the end of mission INFO 2025-06-26 15:48:24,708 resample.py resample_variable():1031 [1] Resampling hs2_bbp700 with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,708 resample.py resample_variable():1038 [1] Padding hs2_bbp700 with 0 days 00:05:43.283102464 of NaNs to the end of mission INFO 2025-06-26 15:48:24,717 resample.py resample_variable():1031 [1] Resampling hs2_fl700 with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,717 resample.py resample_variable():1038 [1] Padding hs2_fl700 with 0 days 00:05:43.283102464 of NaNs to the end of mission INFO 2025-06-26 15:48:24,725 resample.py resample_variable():1031 [1] Resampling ctd1_temperature with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,725 resample.py resample_variable():1038 [1] Padding ctd1_temperature with 0 days 00:05:43.143112192 of NaNs to the end of mission INFO 2025-06-26 15:48:24,734 resample.py resample_variable():1031 [1] Resampling ctd1_conductivity with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,734 resample.py resample_variable():1038 [1] Padding ctd1_conductivity with 0 days 00:05:43.143112192 of NaNs to the end of mission INFO 2025-06-26 15:48:24,742 resample.py resample_variable():1031 [1] Resampling ctd1_salinity with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,742 resample.py resample_variable():1038 [1] Padding ctd1_salinity with 0 days 00:05:43.143112192 of NaNs to the end of mission INFO 2025-06-26 15:48:24,750 resample.py resample_variable():1031 [1] Resampling ctd1_temperature_onboard with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,750 resample.py resample_variable():1038 [1] Padding ctd1_temperature_onboard with 0 days 00:05:43.143112192 of NaNs to the end of mission INFO 2025-06-26 15:48:24,759 resample.py resample_variable():1031 [1] Resampling ctd1_conductivity_onboard with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,759 resample.py resample_variable():1038 [1] Padding ctd1_conductivity_onboard with 0 days 00:05:43.143112192 of NaNs to the end of mission INFO 2025-06-26 15:48:24,767 resample.py resample_variable():1031 [1] Resampling ctd1_salinity_onboard with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,767 resample.py resample_variable():1038 [1] Padding ctd1_salinity_onboard with 0 days 00:05:43.143112192 of NaNs to the end of mission INFO 2025-06-26 15:48:24,775 resample.py resample_variable():1031 [1] Resampling ctd1_dissolvedO2 with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,775 resample.py resample_variable():1038 [1] Padding ctd1_dissolvedO2 with 0 days 00:05:43.143112192 of NaNs to the end of mission INFO 2025-06-26 15:48:24,784 resample.py resample_variable():1031 [1] Resampling ctd1_oxygen_mll with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,784 resample.py resample_variable():1038 [1] Padding ctd1_oxygen_mll with 0 days 00:05:43.143112192 of NaNs to the end of mission INFO 2025-06-26 15:48:24,792 resample.py resample_variable():1031 [1] Resampling ctd1_oxygen_umolkg with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,792 resample.py resample_variable():1038 [1] Padding ctd1_oxygen_umolkg with 0 days 00:05:43.143112192 of NaNs to the end of mission INFO 2025-06-26 15:48:24,800 resample.py resample_variable():1031 [1] Resampling ctd1_flow1 with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,800 resample.py resample_variable():1038 [1] Padding ctd1_flow1 with 0 days 00:05:43.143112192 of NaNs to the end of mission INFO 2025-06-26 15:48:24,809 resample.py resample_variable():1031 [1] Resampling ctd2_temperature with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,809 resample.py resample_variable():1038 [1] Padding ctd2_temperature with 0 days 00:05:43.283102464 of NaNs to the end of mission INFO 2025-06-26 15:48:24,818 resample.py resample_variable():1031 [1] Resampling ctd2_conductivity with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,818 resample.py resample_variable():1038 [1] Padding ctd2_conductivity with 0 days 00:05:43.283102464 of NaNs to the end of mission INFO 2025-06-26 15:48:24,827 resample.py resample_variable():1031 [1] Resampling ctd2_salinity with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,827 resample.py resample_variable():1038 [1] Padding ctd2_salinity with 0 days 00:05:43.283102464 of NaNs to the end of mission INFO 2025-06-26 15:48:24,836 resample.py resample_variable():1031 [1] Resampling ctd2_temperature_onboard with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,836 resample.py resample_variable():1038 [1] Padding ctd2_temperature_onboard with 0 days 00:05:43.283102464 of NaNs to the end of mission INFO 2025-06-26 15:48:24,845 resample.py resample_variable():1031 [1] Resampling ctd2_conductivity_onboard with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,846 resample.py resample_variable():1038 [1] Padding ctd2_conductivity_onboard with 0 days 00:05:43.283102464 of NaNs to the end of mission INFO 2025-06-26 15:48:24,855 resample.py resample_variable():1031 [1] Resampling ctd2_salinity_onboard with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,855 resample.py resample_variable():1038 [1] Padding ctd2_salinity_onboard with 0 days 00:05:43.283102464 of NaNs to the end of mission INFO 2025-06-26 15:48:24,864 resample.py resample_variable():1031 [1] Resampling ctd2_flow2 with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,864 resample.py resample_variable():1038 [1] Padding ctd2_flow2 with 0 days 00:05:43.283102464 of NaNs to the end of mission INFO 2025-06-26 15:48:24,873 resample.py resample_variable():1031 [1] Resampling isus_nitrate with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,873 resample.py resample_variable():1038 [1] Padding isus_nitrate with 0 days 00:05:43.943057408 of NaNs to the end of mission INFO 2025-06-26 15:48:24,881 resample.py resample_variable():1031 [1] Resampling isus_temp with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,881 resample.py resample_variable():1038 [1] Padding isus_temp with 0 days 00:05:43.943057408 of NaNs to the end of mission INFO 2025-06-26 15:48:24,890 resample.py resample_variable():1031 [1] Resampling isus_quality with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,890 resample.py resample_variable():1038 [1] Padding isus_quality with 0 days 00:05:43.943057408 of NaNs to the end of mission INFO 2025-06-26 15:48:24,898 resample.py resample_variable():1031 [1] Resampling lopc_countListSum with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,906 resample.py resample_variable():1031 [1] Resampling lopc_transCount with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,914 resample.py resample_variable():1031 [1] Resampling lopc_nonTransCount with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,921 resample.py resample_variable():1031 [1] Resampling lopc_LCcount with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,929 resample.py resample_variable():1031 [1] Resampling lopc_flowSpeed with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,938 resample.py resample_variable():1031 [1] Resampling tailcone_propRpm with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:24,938 resample.py resample_variable():1038 [1] Padding tailcone_propRpm with 0 days 00:05:43.223106560 of NaNs to the end of mission INFO 2025-06-26 15:48:25,048 resample.py resample_mission():1297 [1] Saved resampled mission to /data/auv_data/dorado/missionnetcdfs/2010.257.09/dorado_2010.257.09_1S.nc INFO 2025-06-26 15:48:25,632 create_products.py gulper_odv():401 [1] No gulper times found for 2010.257.09 INFO 2025-06-26 15:48:25,632 process.py archive():337 [1] Archiving steps for 2010.257.09 INFO 2025-06-26 15:48:25,632 process.py archive():347 [1] nc_file_base = /data/auv_data/dorado/missionnetcdfs/2010.257.09/dorado_2010.257.09, BASE_PATH = /data/auv_data INFO 2025-06-26 15:48:25,632 archive.py copy_to_AUVTCD():60 [1] Archiving /data/auv_data/dorado/missionnetcdfs/2010.257.09/dorado_2010.257.09 files to /Volumes/AUVCTD/surveys/2010/netcdf INFO 2025-06-26 15:48:25,633 archive.py copy_to_AUVTCD():78 [1] Removing /Volumes/AUVCTD/surveys/2010/netcdf/dorado_2010.257.09_1S.nc INFO 2025-06-26 15:48:25,640 archive.py copy_to_AUVTCD():82 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.257.09/dorado_2010.257.09_1S.nc /Volumes/AUVCTD/surveys/2010/netcdf done. INFO 2025-06-26 15:48:25,641 archive.py copy_to_AUVTCD():78 [1] Removing /Volumes/AUVCTD/surveys/2010/netcdf/dorado_2010.257.09_cal.nc INFO 2025-06-26 15:48:25,649 archive.py copy_to_AUVTCD():82 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.257.09/dorado_2010.257.09_cal.nc /Volumes/AUVCTD/surveys/2010/netcdf done. INFO 2025-06-26 15:48:25,650 archive.py copy_to_AUVTCD():78 [1] Removing /Volumes/AUVCTD/surveys/2010/netcdf/dorado_2010.257.09_align.nc INFO 2025-06-26 15:48:25,658 archive.py copy_to_AUVTCD():82 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.257.09/dorado_2010.257.09_align.nc /Volumes/AUVCTD/surveys/2010/netcdf done. INFO 2025-06-26 15:48:25,665 archive.py copy_to_AUVTCD():108 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.257.09/ctdDriver.nc /Volumes/AUVCTD/missionnetcdfs/2010/2010257/2010.257.09 done. INFO 2025-06-26 15:48:25,669 archive.py copy_to_AUVTCD():108 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.257.09/ctdDriver2.nc /Volumes/AUVCTD/missionnetcdfs/2010/2010257/2010.257.09 done. INFO 2025-06-26 15:48:25,673 archive.py copy_to_AUVTCD():108 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.257.09/gps.nc /Volumes/AUVCTD/missionnetcdfs/2010/2010257/2010.257.09 done. INFO 2025-06-26 15:48:25,678 archive.py copy_to_AUVTCD():108 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.257.09/hydroscatlog.nc /Volumes/AUVCTD/missionnetcdfs/2010/2010257/2010.257.09 done. INFO 2025-06-26 15:48:25,684 archive.py copy_to_AUVTCD():108 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.257.09/navigation.nc /Volumes/AUVCTD/missionnetcdfs/2010/2010257/2010.257.09 done. INFO 2025-06-26 15:48:25,688 archive.py copy_to_AUVTCD():108 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.257.09/isuslog.nc /Volumes/AUVCTD/missionnetcdfs/2010/2010257/2010.257.09 done. INFO 2025-06-26 15:48:25,692 archive.py copy_to_AUVTCD():108 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.257.09/parosci.nc /Volumes/AUVCTD/missionnetcdfs/2010/2010257/2010.257.09 done. INFO 2025-06-26 15:48:25,697 archive.py copy_to_AUVTCD():108 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.257.09/tailCone.nc /Volumes/AUVCTD/missionnetcdfs/2010/2010257/2010.257.09 done. INFO 2025-06-26 15:48:25,705 archive.py copy_to_AUVTCD():108 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.257.09/lopc.nc /Volumes/AUVCTD/missionnetcdfs/2010/2010257/2010.257.09 done. INFO 2025-06-26 15:48:25,705 archive.py copy_to_AUVTCD():116 [1] Archiving product files INFO 2025-06-26 15:48:25,705 archive.py copy_to_AUVTCD():161 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.257.09/dorado_2010.257.09_processing.log /Volumes/AUVCTD/surveys/2010/netcdf