INFO 2025-06-26 15:47:58,592 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 15:47:58,592 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 15:47:58,592 process.py process_mission():449 [1] Processing AUVCTD mission 2010.257.03 by user docker_user on host eae60d30a712 INFO 2025-06-26 15:47:58,593 process.py download_process():165 [1] Download and processing steps for 2010.257.03 INFO 2025-06-26 15:47:58,593 logs2netcdfs.py download_process_logs():739 [1] src_dir = /Volumes/AUVCTD/missionlogs/2010/2010257/2010.257.03 INFO 2025-06-26 15:47:58,593 logs2netcdfs.py download_process_logs():768 [1] Rsyncing /Volumes/AUVCTD/missionlogs/2010/2010257/2010.257.03 to /data/auv_data/dorado/missionlogs/2010.257.03 INFO 2025-06-26 15:47:59,204 logs2netcdfs.py download_process_logs():779 [1] Processing mission: dorado 2010.257.03 INFO 2025-06-26 15:47:59,204 logs2netcdfs.py download_process_logs():788 [1] Processing file /data/auv_data/dorado/missionlogs/2010.257.03/ctdDriver.log (160715 bytes) INFO 2025-06-26 15:47:59,223 logs2netcdfs.py download_process_logs():788 [1] Processing file /data/auv_data/dorado/missionlogs/2010.257.03/ctdDriver2.log (160415 bytes) INFO 2025-06-26 15:47:59,241 logs2netcdfs.py download_process_logs():788 [1] Processing file /data/auv_data/dorado/missionlogs/2010.257.03/gps.log (32972 bytes) INFO 2025-06-26 15:47:59,252 logs2netcdfs.py download_process_logs():788 [1] Processing file /data/auv_data/dorado/missionlogs/2010.257.03/hydroscatlog.log (148366 bytes) INFO 2025-06-26 15:47:59,275 logs2netcdfs.py download_process_logs():788 [1] Processing file /data/auv_data/dorado/missionlogs/2010.257.03/navigation.log (468350 bytes) INFO 2025-06-26 15:47:59,320 logs2netcdfs.py download_process_logs():788 [1] Processing file /data/auv_data/dorado/missionlogs/2010.257.03/isuslog.log (9397 bytes) INFO 2025-06-26 15:47:59,326 logs2netcdfs.py download_process_logs():788 [1] Processing file /data/auv_data/dorado/missionlogs/2010.257.03/parosci.log (172790 bytes) INFO 2025-06-26 15:47:59,345 logs2netcdfs.py download_process_logs():788 [1] Processing file /data/auv_data/dorado/missionlogs/2010.257.03/tailCone.log (105691 bytes) INFO 2025-06-26 15:47:59,365 logs2netcdfs.py download_process_logs():807 [1] Time to process: 0.16 seconds INFO 2025-06-26 15:47:59,365 process.py download_process():198 [1] Processing file /data/auv_data/dorado/missionlogs/2010.257.03/lopc.bin (577000 bytes) INFO 2025-06-26 15:47:59,365 lopcToNetCDF.py main():2297 [1] Processing begun: Thu Jun 26 15:47:59 2025 INFO 2025-06-26 15:47:59,365 lopcToNetCDF.py constructTimestampList():1296 [1] parosci_nc = /data/auv_data/dorado/missionnetcdfs/2010.257.03/parosci.nc INFO 2025-06-26 15:47:59,365 lopcToNetCDF.py constructTimestampList():1297 [1] Using NetCDF4 to get start and end epoch seconds for this mission from this URL: INFO 2025-06-26 15:47:59,365 lopcToNetCDF.py constructTimestampList():1300 [1] /data/auv_data/dorado/missionnetcdfs/2010.257.03/parosci.nc INFO 2025-06-26 15:47:59,367 lopcToNetCDF.py constructTimestampList():1317 [1] From associated parosci.nc file: sensor_on_time = 1284501220.2, sensor_off_time = 1284501663.9 INFO 2025-06-26 15:47:59,367 lopcToNetCDF.py constructTimestampList():1322 [1] Duration is 443 seconds. Expecting to read 886 L frames from the lopc.bin file. INFO 2025-06-26 15:47:59,367 lopcToNetCDF.py constructTimestampList():1330 [1] recCount not passed in, assuming we'll have 886 records from the lopc.bin file. INFO 2025-06-26 15:47:59,373 lopcToNetCDF.py main():2321 [1] Examined sibling parosci.nc file to find startTime = 2010-09-14 21:53:40 Z and endTime = 2010-09-14 22:01:03 Z with 886 records expected to be read from lopc.bin INFO 2025-06-26 15:47:59,373 lopcToNetCDF.py unpackLOPCbin():723 [1] >>> Unpacking LOPC data from /data/auv_data/dorado/missionlogs/2010.257.03/lopc.bin INFO 2025-06-26 15:47:59,373 lopcToNetCDF.py unpackLOPCbin():724 [1] >>> Will write to NetCDF file /data/auv_data/dorado/missionnetcdfs/2010.257.03/lopc.nc INFO 2025-06-26 15:47:59,373 lopcToNetCDF.py openNetCDFFile():1861 [1] Will output NetCDF file to /data/auv_data/dorado/missionnetcdfs/2010.257.03/lopc.nc INFO 2025-06-26 15:47:59,374 lopcToNetCDF.py openNetCDFFile():1887 [1] missionName = 2010.257.03 INFO 2025-06-26 15:47:59,374 lopcToNetCDF.py openNetCDFFile():1910 [1] Writing bin axis for len(self.dataStructure['binSizeList']) = 994 WARNING 2025-06-26 15:47:59,376 lopcToNetCDF.py readCframeData():665 [1] Unable to parse a float from the string cstr[:70] = A01097468 WARNING 2025-06-26 15:47:59,376 lopcToNetCDF.py readCframeData():665 [1] Unable to parse a float from the string cstr[:70] = INFO 2025-06-26 15:47:59,446 lopcToNetCDF.py unpackLOPCbin():951 [1] L Frames sample M Frames ShortLFrame LBeforeMEnd MBeforeLEnd UnknownFrame Garbled L INFO 2025-06-26 15:47:59,446 lopcToNetCDF.py unpackLOPCbin():969 [1] Count Count Count Error Error Error Error Error INFO 2025-06-26 15:47:59,446 lopcToNetCDF.py unpackLOPCbin():987 [1] -------- -------- -------- ----------- ----------- ----------- ----------- ------------ INFO 2025-06-26 15:48:00,123 lopcToNetCDF.py main():2345 [1] >>> Done reading file. INFO 2025-06-26 15:48:00,123 lopcToNetCDF.py main():2346 [1] lFrameCount = 891, mFrameCount = 2098 INFO 2025-06-26 15:48:00,123 lopcToNetCDF.py constructTimestampList():1296 [1] parosci_nc = /data/auv_data/dorado/missionnetcdfs/2010.257.03/parosci.nc INFO 2025-06-26 15:48:00,123 lopcToNetCDF.py constructTimestampList():1297 [1] Using NetCDF4 to get start and end epoch seconds for this mission from this URL: INFO 2025-06-26 15:48:00,123 lopcToNetCDF.py constructTimestampList():1300 [1] /data/auv_data/dorado/missionnetcdfs/2010.257.03/parosci.nc INFO 2025-06-26 15:48:00,125 lopcToNetCDF.py constructTimestampList():1317 [1] From associated parosci.nc file: sensor_on_time = 1284501220.2, sensor_off_time = 1284501663.9 INFO 2025-06-26 15:48:00,125 lopcToNetCDF.py constructTimestampList():1322 [1] Duration is 443 seconds. Expecting to read 886 L frames from the lopc.bin file. INFO 2025-06-26 15:48:00,125 lopcToNetCDF.py constructTimestampList():1330 [1] recCount not passed in, assuming we'll have 886 records from the lopc.bin file. INFO 2025-06-26 15:48:00,125 lopcToNetCDF.py constructTimestampList():1340 [1] Calling correctSampleCountList() with sampleCountList[0] = 9255 and len(sampleCountList) = 891 INFO 2025-06-26 15:48:00,125 lopcToNetCDF.py correctSampleCountList():1737 [1] Found overflows at indices: [] INFO 2025-06-26 15:48:00,125 lopcToNetCDF.py correctSampleCountList():1745 [1] Original sampleCountList = [ 9255 9256 9257 9258 14418 14419 14420 14421 14422 14423 14424 14425 14426 14427 14428 14429 14430 14431 14432 14433 14434 14435 14436 14437 14438 14439 14440 14441 14442 14443 14444 14445 14446 14447 14448 14449 14450 14451 14452 14453 14454 14455 14456 14457 14458 14459 14460 14461 14462 14463 14464 14465 14466 14467 14468 14469 14470 14471 14472 14473 14474 14475 14476 14477 14478 14479 14480 14481 14482 14483 14484 14485 14486 14487 14488 14489 14490 14491 14492 14493 14494 14495 14496 14497 14498 14499 14500 14501 14502 14503 14504 14505 14506 14507 14508 14509 14510 14511 14512 14513 14514 14515 14516 14517 14518 14519 14520 14521 14522 14523 14524 14525 14526 14527 14528 14529 14530 14531 14532 14533 14534 14535 14536 14537 14538 14539 14540 14541 14542 14543 14544 14545 14546 14547 14548 14549 14550 14551 14552 14553 14554 14555 14556 14557 14558 14559 14560 14561 14562 14563 14564 14565 14566 14567 14568 14569 14570 14571 14572 14573 14574 14575 14576 14577 14578 14579 14580 14581 14582 14583 14584 14585 14586 14587 14588 14589 14590 14591 14592 14593 14594 14595 14596 14597 14598 14599 14600 14601 14602 14603 14604 14605 14606 14607 14608 14609 14610 14611 14612 14613 14614 14615 14616 14617 14618 14619 14620 14621 14622 14623 14624 14625 14626 14627 14628 14629 14630 14631 14632 14633 14634 14635 14636 14637 14638 14639 14640 14641 14642 14643 14644 14645 14646 14647 14648 14649 14650 14651 14652 14653 14654 14655 14656 14657 14658 14659 14660 14661 14662 14663 14664 14665 14666 14667 14668 14669 14670 14671 14672 14673 14674 14675 14676 14677 14678 14679 14680 14681 14682 14683 14684 14685 14686 14687 14688 14689 14690 14691 14692 14693 14694 14695 14696 14697 14698 14699 14700 14701 14702 14703 14704 14705 14706 14707 14708 14709 14710 14711 14712 14713 14714 14715 14716 14717 14718 14719 14720 14721 14722 14723 14724 14725 14726 14727 14728 14729 14730 14731 14732 14733 14734 14735 14736 14737 14738 14739 14740 14741 14742 14743 14744 14745 14746 14747 14748 14749 14750 14751 14752 14753 14754 14755 14756 14757 14758 14759 14760 14761 14762 14763 14764 14765 14766 14767 14768 14769 14770 14771 14772 14773 14774 14775 14776 14777 14778 14779 14780 14781 14782 14783 14784 14785 14786 14787 14788 14789 14790 14791 14792 14793 14794 14795 14796 14797 14798 14799 14800 14801 14802 14803 14804 14805 14806 14807 14808 14809 14810 14811 14812 14813 14814 14815 14816 14817 14818 14819 14820 14821 14822 14823 14824 14825 14826 14827 14828 14829 14830 14831 14832 14833 14834 14835 14836 14837 14838 14839 14840 14841 14842 14843 14844 14845 14846 14847 14848 14849 14850 14851 14852 14853 14854 14855 14856 14857 14858 14859 14860 14861 14862 14863 14864 14865 14866 14867 14868 14869 14870 14871 14872 14873 14874 14875 14876 14877 14878 14879 14880 14881 14882 14883 14884 14885 14886 14887 14888 14889 14890 14891 14892 14893 14894 14895 14896 14897 14898 14899 14900 14901 14902 14903 14904 14905 14906 14907 14908 14909 14910 14911 14912 14913 14914 14915 14916 14917 14918 14919 14920 14921 14922 14923 14924 14925 14926 14927 14928 14929 14930 14931 14932 14933 14934 14935 14936 14937 14938 14939 14940 14941 14942 14943 14944 14945 14946 14947 14948 14949 14950 14951 14952 14953 14954 14955 14956 14957 14958 14959 14960 14961 14962 14963 14964 14965 14966 14967 14968 14969 14970 14971 14972 14973 14974 14975 14976 14977 14978 14979 14980 14981 14982 14983 14984 14985 14986 14987 14988 14989 14990 14991 14992 14993 14994 14995 14996 14997 14998 14999 15000 15001 15002 15003 15004 15005 15006 15007 15008 15009 15010 15011 15012 15013 15014 15015 15016 15017 15018 15019 15020 15021 15022 15023 15024 15025 15026 15027 15028 15029 15030 15031 15032 15033 15034 15035 15036 15037 15038 15039 15040 15041 15042 15043 15044 15045 15046 15047 15048 15049 15050 15051 15052 15053 15054 15055 15056 15057 15058 15059 15060 15061 15062 15063 15064 15065 15066 15067 15068 15069 15070 15071 15072 15073 15074 15075 15076 15077 15078 15079 15080 15081 15082 15083 15084 15085 15086 15087 15088 15089 15090 15091 15092 15093 15094 15095 15096 15097 15098 15099 15100 15101 15102 15103 15104 15105 15106 15107 15108 15109 15110 15111 15112 15113 15114 15115 15116 15117 15118 15119 15120 15121 15122 15123 15124 15125 15126 15127 15128 15129 15130 15131 15132 15133 15134 15135 15136 15137 15138 15139 15140 15141 15142 15143 15144 15145 15146 15147 15148 15149 15150 15151 15152 15153 15154 15155 15156 15157 15158 15159 15160 15161 15162 15163 15164 15165 15166 15167 15168 15169 15170 15171 15172 15173 15174 15175 15176 15177 15178 15179 15180 15181 15182 15183 15184 15185 15186 15187 15188 15189 15190 15191 15192 15193 15194 15195 15196 15197 15198 15199 15200 15201 15202 15203 15204 15205 15206 15207 15208 15209 15210 15211 15212 15213 15214 15215 15216 15217 15218 15219 15220 15221 15222 15223 15224 15225 15226 15227 15228 15229 15230 15231 15232 15233 15234 15235 15236 15237 15238 15239 15240 15241 15242 15243 15244 15245 15246 15247 15248 15249 15250 15251 15252 15253 15254 15255 15256 15257 15258 15259 15260 15261 15262 15263 15264 15265 15266 15267 15268 15269 15270 15271 15272 15273 15274 15275 15276 15277 15278 15279 15280 15281 15282 15283 15284 15285 15286 15287 15288 15289 15290 15291 15292 15293 15294 15295 15296 15297 15298 15299 15300 15301 15302 15303 15304] INFO 2025-06-26 15:48:00,128 lopcToNetCDF.py correctSampleCountList():1746 [1] Found 0 0 values at indices: [] INFO 2025-06-26 15:48:00,128 lopcToNetCDF.py correctSampleCountList():1779 [1] Found 0 stuck values at indices: [] INFO 2025-06-26 15:48:00,128 lopcToNetCDF.py deSpike():1588 [1] d_sampleCountList = [ 1 1 1 5160 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 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 15:48:00,131 lopcToNetCDF.py deSpike():1590 [1] Found 1 spike indicators at indices: [4] INFO 2025-06-26 15:48:00,131 lopcToNetCDF.py deSpike():1595 [1] Identifying nature of spike value = 14418 at index = 4 INFO 2025-06-26 15:48:00,132 lopcToNetCDF.py deSpike():1714 [1] This is the last element in spike_indx. No need to deSpike(). INFO 2025-06-26 15:48:00,132 lopcToNetCDF.py correctSampleCountList():1805 [1] After despike() sampleCountList = [ 9255 9256 9257 9258 14418 14419 14420 14421 14422 14423 14424 14425 14426 14427 14428 14429 14430 14431 14432 14433 14434 14435 14436 14437 14438 14439 14440 14441 14442 14443 14444 14445 14446 14447 14448 14449 14450 14451 14452 14453 14454 14455 14456 14457 14458 14459 14460 14461 14462 14463 14464 14465 14466 14467 14468 14469 14470 14471 14472 14473 14474 14475 14476 14477 14478 14479 14480 14481 14482 14483 14484 14485 14486 14487 14488 14489 14490 14491 14492 14493 14494 14495 14496 14497 14498 14499 14500 14501 14502 14503 14504 14505 14506 14507 14508 14509 14510 14511 14512 14513 14514 14515 14516 14517 14518 14519 14520 14521 14522 14523 14524 14525 14526 14527 14528 14529 14530 14531 14532 14533 14534 14535 14536 14537 14538 14539 14540 14541 14542 14543 14544 14545 14546 14547 14548 14549 14550 14551 14552 14553 14554 14555 14556 14557 14558 14559 14560 14561 14562 14563 14564 14565 14566 14567 14568 14569 14570 14571 14572 14573 14574 14575 14576 14577 14578 14579 14580 14581 14582 14583 14584 14585 14586 14587 14588 14589 14590 14591 14592 14593 14594 14595 14596 14597 14598 14599 14600 14601 14602 14603 14604 14605 14606 14607 14608 14609 14610 14611 14612 14613 14614 14615 14616 14617 14618 14619 14620 14621 14622 14623 14624 14625 14626 14627 14628 14629 14630 14631 14632 14633 14634 14635 14636 14637 14638 14639 14640 14641 14642 14643 14644 14645 14646 14647 14648 14649 14650 14651 14652 14653 14654 14655 14656 14657 14658 14659 14660 14661 14662 14663 14664 14665 14666 14667 14668 14669 14670 14671 14672 14673 14674 14675 14676 14677 14678 14679 14680 14681 14682 14683 14684 14685 14686 14687 14688 14689 14690 14691 14692 14693 14694 14695 14696 14697 14698 14699 14700 14701 14702 14703 14704 14705 14706 14707 14708 14709 14710 14711 14712 14713 14714 14715 14716 14717 14718 14719 14720 14721 14722 14723 14724 14725 14726 14727 14728 14729 14730 14731 14732 14733 14734 14735 14736 14737 14738 14739 14740 14741 14742 14743 14744 14745 14746 14747 14748 14749 14750 14751 14752 14753 14754 14755 14756 14757 14758 14759 14760 14761 14762 14763 14764 14765 14766 14767 14768 14769 14770 14771 14772 14773 14774 14775 14776 14777 14778 14779 14780 14781 14782 14783 14784 14785 14786 14787 14788 14789 14790 14791 14792 14793 14794 14795 14796 14797 14798 14799 14800 14801 14802 14803 14804 14805 14806 14807 14808 14809 14810 14811 14812 14813 14814 14815 14816 14817 14818 14819 14820 14821 14822 14823 14824 14825 14826 14827 14828 14829 14830 14831 14832 14833 14834 14835 14836 14837 14838 14839 14840 14841 14842 14843 14844 14845 14846 14847 14848 14849 14850 14851 14852 14853 14854 14855 14856 14857 14858 14859 14860 14861 14862 14863 14864 14865 14866 14867 14868 14869 14870 14871 14872 14873 14874 14875 14876 14877 14878 14879 14880 14881 14882 14883 14884 14885 14886 14887 14888 14889 14890 14891 14892 14893 14894 14895 14896 14897 14898 14899 14900 14901 14902 14903 14904 14905 14906 14907 14908 14909 14910 14911 14912 14913 14914 14915 14916 14917 14918 14919 14920 14921 14922 14923 14924 14925 14926 14927 14928 14929 14930 14931 14932 14933 14934 14935 14936 14937 14938 14939 14940 14941 14942 14943 14944 14945 14946 14947 14948 14949 14950 14951 14952 14953 14954 14955 14956 14957 14958 14959 14960 14961 14962 14963 14964 14965 14966 14967 14968 14969 14970 14971 14972 14973 14974 14975 14976 14977 14978 14979 14980 14981 14982 14983 14984 14985 14986 14987 14988 14989 14990 14991 14992 14993 14994 14995 14996 14997 14998 14999 15000 15001 15002 15003 15004 15005 15006 15007 15008 15009 15010 15011 15012 15013 15014 15015 15016 15017 15018 15019 15020 15021 15022 15023 15024 15025 15026 15027 15028 15029 15030 15031 15032 15033 15034 15035 15036 15037 15038 15039 15040 15041 15042 15043 15044 15045 15046 15047 15048 15049 15050 15051 15052 15053 15054 15055 15056 15057 15058 15059 15060 15061 15062 15063 15064 15065 15066 15067 15068 15069 15070 15071 15072 15073 15074 15075 15076 15077 15078 15079 15080 15081 15082 15083 15084 15085 15086 15087 15088 15089 15090 15091 15092 15093 15094 15095 15096 15097 15098 15099 15100 15101 15102 15103 15104 15105 15106 15107 15108 15109 15110 15111 15112 15113 15114 15115 15116 15117 15118 15119 15120 15121 15122 15123 15124 15125 15126 15127 15128 15129 15130 15131 15132 15133 15134 15135 15136 15137 15138 15139 15140 15141 15142 15143 15144 15145 15146 15147 15148 15149 15150 15151 15152 15153 15154 15155 15156 15157 15158 15159 15160 15161 15162 15163 15164 15165 15166 15167 15168 15169 15170 15171 15172 15173 15174 15175 15176 15177 15178 15179 15180 15181 15182 15183 15184 15185 15186 15187 15188 15189 15190 15191 15192 15193 15194 15195 15196 15197 15198 15199 15200 15201 15202 15203 15204 15205 15206 15207 15208 15209 15210 15211 15212 15213 15214 15215 15216 15217 15218 15219 15220 15221 15222 15223 15224 15225 15226 15227 15228 15229 15230 15231 15232 15233 15234 15235 15236 15237 15238 15239 15240 15241 15242 15243 15244 15245 15246 15247 15248 15249 15250 15251 15252 15253 15254 15255 15256 15257 15258 15259 15260 15261 15262 15263 15264 15265 15266 15267 15268 15269 15270 15271 15272 15273 15274 15275 15276 15277 15278 15279 15280 15281 15282 15283 15284 15285 15286 15287 15288 15289 15290 15291 15292 15293 15294 15295 15296 15297 15298 15299 15300 15301 15302 15303 15304] INFO 2025-06-26 15:48:00,135 lopcToNetCDF.py constructTimestampList():1347 [1] correctSampleCountList() returned correctedSampleCountList = [ 9255 9256 9257 9258 14418 14419 14420 14421 14422 14423 14424 14425 14426 14427 14428 14429 14430 14431 14432 14433 14434 14435 14436 14437 14438 14439 14440 14441 14442 14443 14444 14445 14446 14447 14448 14449 14450 14451 14452 14453 14454 14455 14456 14457 14458 14459 14460 14461 14462 14463 14464 14465 14466 14467 14468 14469 14470 14471 14472 14473 14474 14475 14476 14477 14478 14479 14480 14481 14482 14483 14484 14485 14486 14487 14488 14489 14490 14491 14492 14493 14494 14495 14496 14497 14498 14499 14500 14501 14502 14503 14504 14505 14506 14507 14508 14509 14510 14511 14512 14513 14514 14515 14516 14517 14518 14519 14520 14521 14522 14523 14524 14525 14526 14527 14528 14529 14530 14531 14532 14533 14534 14535 14536 14537 14538 14539 14540 14541 14542 14543 14544 14545 14546 14547 14548 14549 14550 14551 14552 14553 14554 14555 14556 14557 14558 14559 14560 14561 14562 14563 14564 14565 14566 14567 14568 14569 14570 14571 14572 14573 14574 14575 14576 14577 14578 14579 14580 14581 14582 14583 14584 14585 14586 14587 14588 14589 14590 14591 14592 14593 14594 14595 14596 14597 14598 14599 14600 14601 14602 14603 14604 14605 14606 14607 14608 14609 14610 14611 14612 14613 14614 14615 14616 14617 14618 14619 14620 14621 14622 14623 14624 14625 14626 14627 14628 14629 14630 14631 14632 14633 14634 14635 14636 14637 14638 14639 14640 14641 14642 14643 14644 14645 14646 14647 14648 14649 14650 14651 14652 14653 14654 14655 14656 14657 14658 14659 14660 14661 14662 14663 14664 14665 14666 14667 14668 14669 14670 14671 14672 14673 14674 14675 14676 14677 14678 14679 14680 14681 14682 14683 14684 14685 14686 14687 14688 14689 14690 14691 14692 14693 14694 14695 14696 14697 14698 14699 14700 14701 14702 14703 14704 14705 14706 14707 14708 14709 14710 14711 14712 14713 14714 14715 14716 14717 14718 14719 14720 14721 14722 14723 14724 14725 14726 14727 14728 14729 14730 14731 14732 14733 14734 14735 14736 14737 14738 14739 14740 14741 14742 14743 14744 14745 14746 14747 14748 14749 14750 14751 14752 14753 14754 14755 14756 14757 14758 14759 14760 14761 14762 14763 14764 14765 14766 14767 14768 14769 14770 14771 14772 14773 14774 14775 14776 14777 14778 14779 14780 14781 14782 14783 14784 14785 14786 14787 14788 14789 14790 14791 14792 14793 14794 14795 14796 14797 14798 14799 14800 14801 14802 14803 14804 14805 14806 14807 14808 14809 14810 14811 14812 14813 14814 14815 14816 14817 14818 14819 14820 14821 14822 14823 14824 14825 14826 14827 14828 14829 14830 14831 14832 14833 14834 14835 14836 14837 14838 14839 14840 14841 14842 14843 14844 14845 14846 14847 14848 14849 14850 14851 14852 14853 14854 14855 14856 14857 14858 14859 14860 14861 14862 14863 14864 14865 14866 14867 14868 14869 14870 14871 14872 14873 14874 14875 14876 14877 14878 14879 14880 14881 14882 14883 14884 14885 14886 14887 14888 14889 14890 14891 14892 14893 14894 14895 14896 14897 14898 14899 14900 14901 14902 14903 14904 14905 14906 14907 14908 14909 14910 14911 14912 14913 14914 14915 14916 14917 14918 14919 14920 14921 14922 14923 14924 14925 14926 14927 14928 14929 14930 14931 14932 14933 14934 14935 14936 14937 14938 14939 14940 14941 14942 14943 14944 14945 14946 14947 14948 14949 14950 14951 14952 14953 14954 14955 14956 14957 14958 14959 14960 14961 14962 14963 14964 14965 14966 14967 14968 14969 14970 14971 14972 14973 14974 14975 14976 14977 14978 14979 14980 14981 14982 14983 14984 14985 14986 14987 14988 14989 14990 14991 14992 14993 14994 14995 14996 14997 14998 14999 15000 15001 15002 15003 15004 15005 15006 15007 15008 15009 15010 15011 15012 15013 15014 15015 15016 15017 15018 15019 15020 15021 15022 15023 15024 15025 15026 15027 15028 15029 15030 15031 15032 15033 15034 15035 15036 15037 15038 15039 15040 15041 15042 15043 15044 15045 15046 15047 15048 15049 15050 15051 15052 15053 15054 15055 15056 15057 15058 15059 15060 15061 15062 15063 15064 15065 15066 15067 15068 15069 15070 15071 15072 15073 15074 15075 15076 15077 15078 15079 15080 15081 15082 15083 15084 15085 15086 15087 15088 15089 15090 15091 15092 15093 15094 15095 15096 15097 15098 15099 15100 15101 15102 15103 15104 15105 15106 15107 15108 15109 15110 15111 15112 15113 15114 15115 15116 15117 15118 15119 15120 15121 15122 15123 15124 15125 15126 15127 15128 15129 15130 15131 15132 15133 15134 15135 15136 15137 15138 15139 15140 15141 15142 15143 15144 15145 15146 15147 15148 15149 15150 15151 15152 15153 15154 15155 15156 15157 15158 15159 15160 15161 15162 15163 15164 15165 15166 15167 15168 15169 15170 15171 15172 15173 15174 15175 15176 15177 15178 15179 15180 15181 15182 15183 15184 15185 15186 15187 15188 15189 15190 15191 15192 15193 15194 15195 15196 15197 15198 15199 15200 15201 15202 15203 15204 15205 15206 15207 15208 15209 15210 15211 15212 15213 15214 15215 15216 15217 15218 15219 15220 15221 15222 15223 15224 15225 15226 15227 15228 15229 15230 15231 15232 15233 15234 15235 15236 15237 15238 15239 15240 15241 15242 15243 15244 15245 15246 15247 15248 15249 15250 15251 15252 15253 15254 15255 15256 15257 15258 15259 15260 15261 15262 15263 15264 15265 15266 15267 15268 15269 15270 15271 15272 15273 15274 15275 15276 15277 15278 15279 15280 15281 15282 15283 15284 15285 15286 15287 15288 15289 15290 15291 15292 15293 15294 15295 15296 15297 15298 15299 15300 15301 15302 15303 15304] with len(correctedSampleCountList) = 891 INFO 2025-06-26 15:48:00,138 lopcToNetCDF.py constructTimestampList():1358 [1] Subtracting 9255 from all values of correctedSampleCountList INFO 2025-06-26 15:48:00,138 lopcToNetCDF.py constructTimestampList():1363 [1] Constructing timestampArray from instrument corrected sampleCount and constant deltaT = 0.500000 INFO 2025-06-26 15:48:00,138 lopcToNetCDF.py constructTimestampList():1368 [1] New re-zeroed correctedSampleCountList = [0.0000e+00 5.0000e-01 1.0000e+00 1.5000e+00 2.5815e+03 2.5820e+03 2.5825e+03 2.5830e+03 2.5835e+03 2.5840e+03 2.5845e+03 2.5850e+03 2.5855e+03 2.5860e+03 2.5865e+03 2.5870e+03 2.5875e+03 2.5880e+03 2.5885e+03 2.5890e+03 2.5895e+03 2.5900e+03 2.5905e+03 2.5910e+03 2.5915e+03 2.5920e+03 2.5925e+03 2.5930e+03 2.5935e+03 2.5940e+03 2.5945e+03 2.5950e+03 2.5955e+03 2.5960e+03 2.5965e+03 2.5970e+03 2.5975e+03 2.5980e+03 2.5985e+03 2.5990e+03 2.5995e+03 2.6000e+03 2.6005e+03 2.6010e+03 2.6015e+03 2.6020e+03 2.6025e+03 2.6030e+03 2.6035e+03 2.6040e+03 2.6045e+03 2.6050e+03 2.6055e+03 2.6060e+03 2.6065e+03 2.6070e+03 2.6075e+03 2.6080e+03 2.6085e+03 2.6090e+03 2.6095e+03 2.6100e+03 2.6105e+03 2.6110e+03 2.6115e+03 2.6120e+03 2.6125e+03 2.6130e+03 2.6135e+03 2.6140e+03 2.6145e+03 2.6150e+03 2.6155e+03 2.6160e+03 2.6165e+03 2.6170e+03 2.6175e+03 2.6180e+03 2.6185e+03 2.6190e+03 2.6195e+03 2.6200e+03 2.6205e+03 2.6210e+03 2.6215e+03 2.6220e+03 2.6225e+03 2.6230e+03 2.6235e+03 2.6240e+03 2.6245e+03 2.6250e+03 2.6255e+03 2.6260e+03 2.6265e+03 2.6270e+03 2.6275e+03 2.6280e+03 2.6285e+03 2.6290e+03 2.6295e+03 2.6300e+03 2.6305e+03 2.6310e+03 2.6315e+03 2.6320e+03 2.6325e+03 2.6330e+03 2.6335e+03 2.6340e+03 2.6345e+03 2.6350e+03 2.6355e+03 2.6360e+03 2.6365e+03 2.6370e+03 2.6375e+03 2.6380e+03 2.6385e+03 2.6390e+03 2.6395e+03 2.6400e+03 2.6405e+03 2.6410e+03 2.6415e+03 2.6420e+03 2.6425e+03 2.6430e+03 2.6435e+03 2.6440e+03 2.6445e+03 2.6450e+03 2.6455e+03 2.6460e+03 2.6465e+03 2.6470e+03 2.6475e+03 2.6480e+03 2.6485e+03 2.6490e+03 2.6495e+03 2.6500e+03 2.6505e+03 2.6510e+03 2.6515e+03 2.6520e+03 2.6525e+03 2.6530e+03 2.6535e+03 2.6540e+03 2.6545e+03 2.6550e+03 2.6555e+03 2.6560e+03 2.6565e+03 2.6570e+03 2.6575e+03 2.6580e+03 2.6585e+03 2.6590e+03 2.6595e+03 2.6600e+03 2.6605e+03 2.6610e+03 2.6615e+03 2.6620e+03 2.6625e+03 2.6630e+03 2.6635e+03 2.6640e+03 2.6645e+03 2.6650e+03 2.6655e+03 2.6660e+03 2.6665e+03 2.6670e+03 2.6675e+03 2.6680e+03 2.6685e+03 2.6690e+03 2.6695e+03 2.6700e+03 2.6705e+03 2.6710e+03 2.6715e+03 2.6720e+03 2.6725e+03 2.6730e+03 2.6735e+03 2.6740e+03 2.6745e+03 2.6750e+03 2.6755e+03 2.6760e+03 2.6765e+03 2.6770e+03 2.6775e+03 2.6780e+03 2.6785e+03 2.6790e+03 2.6795e+03 2.6800e+03 2.6805e+03 2.6810e+03 2.6815e+03 2.6820e+03 2.6825e+03 2.6830e+03 2.6835e+03 2.6840e+03 2.6845e+03 2.6850e+03 2.6855e+03 2.6860e+03 2.6865e+03 2.6870e+03 2.6875e+03 2.6880e+03 2.6885e+03 2.6890e+03 2.6895e+03 2.6900e+03 2.6905e+03 2.6910e+03 2.6915e+03 2.6920e+03 2.6925e+03 2.6930e+03 2.6935e+03 2.6940e+03 2.6945e+03 2.6950e+03 2.6955e+03 2.6960e+03 2.6965e+03 2.6970e+03 2.6975e+03 2.6980e+03 2.6985e+03 2.6990e+03 2.6995e+03 2.7000e+03 2.7005e+03 2.7010e+03 2.7015e+03 2.7020e+03 2.7025e+03 2.7030e+03 2.7035e+03 2.7040e+03 2.7045e+03 2.7050e+03 2.7055e+03 2.7060e+03 2.7065e+03 2.7070e+03 2.7075e+03 2.7080e+03 2.7085e+03 2.7090e+03 2.7095e+03 2.7100e+03 2.7105e+03 2.7110e+03 2.7115e+03 2.7120e+03 2.7125e+03 2.7130e+03 2.7135e+03 2.7140e+03 2.7145e+03 2.7150e+03 2.7155e+03 2.7160e+03 2.7165e+03 2.7170e+03 2.7175e+03 2.7180e+03 2.7185e+03 2.7190e+03 2.7195e+03 2.7200e+03 2.7205e+03 2.7210e+03 2.7215e+03 2.7220e+03 2.7225e+03 2.7230e+03 2.7235e+03 2.7240e+03 2.7245e+03 2.7250e+03 2.7255e+03 2.7260e+03 2.7265e+03 2.7270e+03 2.7275e+03 2.7280e+03 2.7285e+03 2.7290e+03 2.7295e+03 2.7300e+03 2.7305e+03 2.7310e+03 2.7315e+03 2.7320e+03 2.7325e+03 2.7330e+03 2.7335e+03 2.7340e+03 2.7345e+03 2.7350e+03 2.7355e+03 2.7360e+03 2.7365e+03 2.7370e+03 2.7375e+03 2.7380e+03 2.7385e+03 2.7390e+03 2.7395e+03 2.7400e+03 2.7405e+03 2.7410e+03 2.7415e+03 2.7420e+03 2.7425e+03 2.7430e+03 2.7435e+03 2.7440e+03 2.7445e+03 2.7450e+03 2.7455e+03 2.7460e+03 2.7465e+03 2.7470e+03 2.7475e+03 2.7480e+03 2.7485e+03 2.7490e+03 2.7495e+03 2.7500e+03 2.7505e+03 2.7510e+03 2.7515e+03 2.7520e+03 2.7525e+03 2.7530e+03 2.7535e+03 2.7540e+03 2.7545e+03 2.7550e+03 2.7555e+03 2.7560e+03 2.7565e+03 2.7570e+03 2.7575e+03 2.7580e+03 2.7585e+03 2.7590e+03 2.7595e+03 2.7600e+03 2.7605e+03 2.7610e+03 2.7615e+03 2.7620e+03 2.7625e+03 2.7630e+03 2.7635e+03 2.7640e+03 2.7645e+03 2.7650e+03 2.7655e+03 2.7660e+03 2.7665e+03 2.7670e+03 2.7675e+03 2.7680e+03 2.7685e+03 2.7690e+03 2.7695e+03 2.7700e+03 2.7705e+03 2.7710e+03 2.7715e+03 2.7720e+03 2.7725e+03 2.7730e+03 2.7735e+03 2.7740e+03 2.7745e+03 2.7750e+03 2.7755e+03 2.7760e+03 2.7765e+03 2.7770e+03 2.7775e+03 2.7780e+03 2.7785e+03 2.7790e+03 2.7795e+03 2.7800e+03 2.7805e+03 2.7810e+03 2.7815e+03 2.7820e+03 2.7825e+03 2.7830e+03 2.7835e+03 2.7840e+03 2.7845e+03 2.7850e+03 2.7855e+03 2.7860e+03 2.7865e+03 2.7870e+03 2.7875e+03 2.7880e+03 2.7885e+03 2.7890e+03 2.7895e+03 2.7900e+03 2.7905e+03 2.7910e+03 2.7915e+03 2.7920e+03 2.7925e+03 2.7930e+03 2.7935e+03 2.7940e+03 2.7945e+03 2.7950e+03 2.7955e+03 2.7960e+03 2.7965e+03 2.7970e+03 2.7975e+03 2.7980e+03 2.7985e+03 2.7990e+03 2.7995e+03 2.8000e+03 2.8005e+03 2.8010e+03 2.8015e+03 2.8020e+03 2.8025e+03 2.8030e+03 2.8035e+03 2.8040e+03 2.8045e+03 2.8050e+03 2.8055e+03 2.8060e+03 2.8065e+03 2.8070e+03 2.8075e+03 2.8080e+03 2.8085e+03 2.8090e+03 2.8095e+03 2.8100e+03 2.8105e+03 2.8110e+03 2.8115e+03 2.8120e+03 2.8125e+03 2.8130e+03 2.8135e+03 2.8140e+03 2.8145e+03 2.8150e+03 2.8155e+03 2.8160e+03 2.8165e+03 2.8170e+03 2.8175e+03 2.8180e+03 2.8185e+03 2.8190e+03 2.8195e+03 2.8200e+03 2.8205e+03 2.8210e+03 2.8215e+03 2.8220e+03 2.8225e+03 2.8230e+03 2.8235e+03 2.8240e+03 2.8245e+03 2.8250e+03 2.8255e+03 2.8260e+03 2.8265e+03 2.8270e+03 2.8275e+03 2.8280e+03 2.8285e+03 2.8290e+03 2.8295e+03 2.8300e+03 2.8305e+03 2.8310e+03 2.8315e+03 2.8320e+03 2.8325e+03 2.8330e+03 2.8335e+03 2.8340e+03 2.8345e+03 2.8350e+03 2.8355e+03 2.8360e+03 2.8365e+03 2.8370e+03 2.8375e+03 2.8380e+03 2.8385e+03 2.8390e+03 2.8395e+03 2.8400e+03 2.8405e+03 2.8410e+03 2.8415e+03 2.8420e+03 2.8425e+03 2.8430e+03 2.8435e+03 2.8440e+03 2.8445e+03 2.8450e+03 2.8455e+03 2.8460e+03 2.8465e+03 2.8470e+03 2.8475e+03 2.8480e+03 2.8485e+03 2.8490e+03 2.8495e+03 2.8500e+03 2.8505e+03 2.8510e+03 2.8515e+03 2.8520e+03 2.8525e+03 2.8530e+03 2.8535e+03 2.8540e+03 2.8545e+03 2.8550e+03 2.8555e+03 2.8560e+03 2.8565e+03 2.8570e+03 2.8575e+03 2.8580e+03 2.8585e+03 2.8590e+03 2.8595e+03 2.8600e+03 2.8605e+03 2.8610e+03 2.8615e+03 2.8620e+03 2.8625e+03 2.8630e+03 2.8635e+03 2.8640e+03 2.8645e+03 2.8650e+03 2.8655e+03 2.8660e+03 2.8665e+03 2.8670e+03 2.8675e+03 2.8680e+03 2.8685e+03 2.8690e+03 2.8695e+03 2.8700e+03 2.8705e+03 2.8710e+03 2.8715e+03 2.8720e+03 2.8725e+03 2.8730e+03 2.8735e+03 2.8740e+03 2.8745e+03 2.8750e+03 2.8755e+03 2.8760e+03 2.8765e+03 2.8770e+03 2.8775e+03 2.8780e+03 2.8785e+03 2.8790e+03 2.8795e+03 2.8800e+03 2.8805e+03 2.8810e+03 2.8815e+03 2.8820e+03 2.8825e+03 2.8830e+03 2.8835e+03 2.8840e+03 2.8845e+03 2.8850e+03 2.8855e+03 2.8860e+03 2.8865e+03 2.8870e+03 2.8875e+03 2.8880e+03 2.8885e+03 2.8890e+03 2.8895e+03 2.8900e+03 2.8905e+03 2.8910e+03 2.8915e+03 2.8920e+03 2.8925e+03 2.8930e+03 2.8935e+03 2.8940e+03 2.8945e+03 2.8950e+03 2.8955e+03 2.8960e+03 2.8965e+03 2.8970e+03 2.8975e+03 2.8980e+03 2.8985e+03 2.8990e+03 2.8995e+03 2.9000e+03 2.9005e+03 2.9010e+03 2.9015e+03 2.9020e+03 2.9025e+03 2.9030e+03 2.9035e+03 2.9040e+03 2.9045e+03 2.9050e+03 2.9055e+03 2.9060e+03 2.9065e+03 2.9070e+03 2.9075e+03 2.9080e+03 2.9085e+03 2.9090e+03 2.9095e+03 2.9100e+03 2.9105e+03 2.9110e+03 2.9115e+03 2.9120e+03 2.9125e+03 2.9130e+03 2.9135e+03 2.9140e+03 2.9145e+03 2.9150e+03 2.9155e+03 2.9160e+03 2.9165e+03 2.9170e+03 2.9175e+03 2.9180e+03 2.9185e+03 2.9190e+03 2.9195e+03 2.9200e+03 2.9205e+03 2.9210e+03 2.9215e+03 2.9220e+03 2.9225e+03 2.9230e+03 2.9235e+03 2.9240e+03 2.9245e+03 2.9250e+03 2.9255e+03 2.9260e+03 2.9265e+03 2.9270e+03 2.9275e+03 2.9280e+03 2.9285e+03 2.9290e+03 2.9295e+03 2.9300e+03 2.9305e+03 2.9310e+03 2.9315e+03 2.9320e+03 2.9325e+03 2.9330e+03 2.9335e+03 2.9340e+03 2.9345e+03 2.9350e+03 2.9355e+03 2.9360e+03 2.9365e+03 2.9370e+03 2.9375e+03 2.9380e+03 2.9385e+03 2.9390e+03 2.9395e+03 2.9400e+03 2.9405e+03 2.9410e+03 2.9415e+03 2.9420e+03 2.9425e+03 2.9430e+03 2.9435e+03 2.9440e+03 2.9445e+03 2.9450e+03 2.9455e+03 2.9460e+03 2.9465e+03 2.9470e+03 2.9475e+03 2.9480e+03 2.9485e+03 2.9490e+03 2.9495e+03 2.9500e+03 2.9505e+03 2.9510e+03 2.9515e+03 2.9520e+03 2.9525e+03 2.9530e+03 2.9535e+03 2.9540e+03 2.9545e+03 2.9550e+03 2.9555e+03 2.9560e+03 2.9565e+03 2.9570e+03 2.9575e+03 2.9580e+03 2.9585e+03 2.9590e+03 2.9595e+03 2.9600e+03 2.9605e+03 2.9610e+03 2.9615e+03 2.9620e+03 2.9625e+03 2.9630e+03 2.9635e+03 2.9640e+03 2.9645e+03 2.9650e+03 2.9655e+03 2.9660e+03 2.9665e+03 2.9670e+03 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3.0130e+03 3.0135e+03 3.0140e+03 3.0145e+03 3.0150e+03 3.0155e+03 3.0160e+03 3.0165e+03 3.0170e+03 3.0175e+03 3.0180e+03 3.0185e+03 3.0190e+03 3.0195e+03 3.0200e+03 3.0205e+03 3.0210e+03 3.0215e+03 3.0220e+03 3.0225e+03 3.0230e+03 3.0235e+03 3.0240e+03 3.0245e+03] INFO 2025-06-26 15:48:00,145 lopcToNetCDF.py constructTimestampList():1379 [1] timestampArray = [1.28450122e+09 1.28450122e+09 1.28450122e+09 1.28450122e+09 1.28450380e+09 1.28450380e+09 1.28450380e+09 1.28450380e+09 1.28450380e+09 1.28450380e+09 1.28450380e+09 1.28450381e+09 1.28450381e+09 1.28450381e+09 1.28450381e+09 1.28450381e+09 1.28450381e+09 1.28450381e+09 1.28450381e+09 1.28450381e+09 1.28450381e+09 1.28450381e+09 1.28450381e+09 1.28450381e+09 1.28450381e+09 1.28450381e+09 1.28450381e+09 1.28450381e+09 1.28450381e+09 1.28450381e+09 1.28450381e+09 1.28450382e+09 1.28450382e+09 1.28450382e+09 1.28450382e+09 1.28450382e+09 1.28450382e+09 1.28450382e+09 1.28450382e+09 1.28450382e+09 1.28450382e+09 1.28450382e+09 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1.28450422e+09 1.28450422e+09 1.28450422e+09 1.28450422e+09 1.28450422e+09 1.28450422e+09 1.28450422e+09 1.28450422e+09 1.28450422e+09 1.28450422e+09 1.28450422e+09 1.28450422e+09 1.28450422e+09 1.28450422e+09 1.28450422e+09 1.28450422e+09 1.28450422e+09 1.28450423e+09 1.28450423e+09 1.28450423e+09 1.28450423e+09 1.28450423e+09 1.28450423e+09 1.28450423e+09 1.28450423e+09 1.28450423e+09 1.28450423e+09 1.28450423e+09 1.28450423e+09 1.28450423e+09 1.28450423e+09 1.28450423e+09 1.28450423e+09 1.28450423e+09 1.28450423e+09 1.28450423e+09 1.28450423e+09 1.28450424e+09 1.28450424e+09 1.28450424e+09 1.28450424e+09 1.28450424e+09 1.28450424e+09 1.28450424e+09 1.28450424e+09 1.28450424e+09 1.28450424e+09 1.28450424e+09 1.28450424e+09 1.28450424e+09 1.28450424e+09 1.28450424e+09 1.28450424e+09 1.28450424e+09 1.28450424e+09 1.28450424e+09 1.28450424e+09] INFO 2025-06-26 15:48:00,153 lopcToNetCDF.py constructTimestampList():1380 [1] timestampArray[:2] = [1284501220.2 1284501220.7, ..., timestampArray[-2:] = 1284504244.2 1284504244.7] INFO 2025-06-26 15:48:00,154 lopcToNetCDF.py constructTimestampList():1389 [1] timestampList[:2] = [np.float64(1284501220.1839116), np.float64(1284501220.6839116)], ..., timestampList[-2:] = [np.float64(1284504244.1839116), np.float64(1284504244.6839116)]] INFO 2025-06-26 15:48:00,154 lopcToNetCDF.py constructTimestampList():1394 [1] Subsampling correctedSampleCountList (len = 891) according to what got written to the netCDF file by the binning interval INFO 2025-06-26 15:48:00,154 lopcToNetCDF.py constructTimestampList():1399 [1] lFrameCountWrittenList[:2] = [20, 41], ... lFrameCountWrittenList[-2:] = [860, 881] INFO 2025-06-26 15:48:00,154 lopcToNetCDF.py constructTimestampList():1420 [1] len(subSampledCorrectedSampleCountList) = 42 INFO 2025-06-26 15:48:00,154 lopcToNetCDF.py constructTimestampList():1439 [1] len(timestampList) = 891 INFO 2025-06-26 15:48:00,154 lopcToNetCDF.py constructTimestampList():1440 [1] timestampList[:2] = [np.float64(1284501220.1839116), np.float64(1284501220.6839116)], ..., timestampList[-2:] = [np.float64(1284504244.1839116), np.float64(1284504244.6839116)]] INFO 2025-06-26 15:48:00,154 lopcToNetCDF.py constructTimestampList():1446 [1] Subsampling timestampList (len = 891) according to what got written to the netCDF file by the binning interval INFO 2025-06-26 15:48:00,154 lopcToNetCDF.py constructTimestampList():1457 [1] Taking indices [[np.int32(19), np.int32(40)] ... [np.int32(859), np.int32(880)]] from timestampList to create subSampledTimestampList INFO 2025-06-26 15:48:00,154 lopcToNetCDF.py constructTimestampList():1463 [1] len(subSampledTimestampList) = 42 INFO 2025-06-26 15:48:00,154 lopcToNetCDF.py constructTimestampList():1477 [1] Finding elements of cFrameEsecsList that != -9999 INFO 2025-06-26 15:48:00,156 lopcToNetCDF.py closeNetCDFFile():2096 [1] Writing time axis for len(tsList) = 42 INFO 2025-06-26 15:48:00,156 lopcToNetCDF.py closeNetCDFFile():2099 [1] tsList[:1] = [np.float64(1284503809.1839116)], ..., tsList[-2:] = [np.float64(1284504229.1839116), np.float64(1284504239.6839116)] INFO 2025-06-26 15:48:00,156 lopcToNetCDF.py closeNetCDFFile():2100 [1] Begin time = 2010-09-14 22:36:49 Z INFO 2025-06-26 15:48:00,156 lopcToNetCDF.py closeNetCDFFile():2103 [1] End time = 2010-09-14 22:43:59 Z INFO 2025-06-26 15:48:00,157 lopcToNetCDF.py closeNetCDFFile():2107 [1] Writing time axis for len(cFrameEsecsList) = 42 INFO 2025-06-26 15:48:00,157 lopcToNetCDF.py closeNetCDFFile():2111 [1] cFrameEsecsList[:1] = [1.28450166e+09], ..., cFrameEsecsList[-2:] = [1.28450166e+09 1.28450166e+09] INFO 2025-06-26 15:48:00,157 lopcToNetCDF.py closeNetCDFFile():2116 [1] Begin time = 2010-09-14 22:00:56 Z INFO 2025-06-26 15:48:00,157 lopcToNetCDF.py closeNetCDFFile():2120 [1] End time = 2010-09-14 22:00:56 Z INFO 2025-06-26 15:48:00,161 lopcToNetCDF.py main():2381 [1] Created file: /data/auv_data/dorado/missionnetcdfs/2010.257.03/lopc.nc INFO 2025-06-26 15:48:00,161 lopcToNetCDF.py main():2384 [1] Processing finished: Thu Jun 26 15:48:00 2025 Elapsed processing time from start of processing = 0 seconds INFO 2025-06-26 15:48:00,161 process.py calibrate():227 [1] Calibration steps for 2010.257.03 WARNING 2025-06-26 15:48:00,221 calibrate.py _navigation_process():1588 [1] No positive depths found in 2010.257.03/navigation.nc INFO 2025-06-26 15:48:00,224 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 15:48:00,226 calibrate.py _nudge_pos():1711 [1] - - - 0 0.00 - - - INFO 2025-06-26 15:48:03,976 calibrate.py _nudge_pos():1862 [1] 396: - - - 4 0.01 - - INFO 2025-06-26 15:48:03,976 calibrate.py _nudge_pos():1868 [1] Points in final series = 1976 WARNING 2025-06-26 15:48:03,983 calibrate.py _depth_process():2193 [1] Expected sample_rate to be 10 Hz, instead it's 8.33 Hz INFO 2025-06-26 15:48:04,016 calibrate.py _geometric_depth_correction():3423 [1] hs2: d_beg_time_diff: 5 seconds, d_end_time_diff: -1 seconds INFO 2025-06-26 15:48:04,053 calibrate.py _geometric_depth_correction():3423 [1] ctd1: d_beg_time_diff: 27 seconds, d_end_time_diff: -1 seconds INFO 2025-06-26 15:48:04,068 calibrate.py _geometric_depth_correction():3423 [1] ctd1: d_beg_time_diff: 27 seconds, d_end_time_diff: -1 seconds INFO 2025-06-26 15:48:04,069 calibrate.py _ctd_process():2919 [1] Performing range checking of ['ctd1_salinity'] in 2010.257.03/ctd1.nc INFO 2025-06-26 15:48:04,070 calibrate.py _range_qc_combined_nc():898 [1] Setting 0 ctd1_salinity values to NaN INFO 2025-06-26 15:48:04,070 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 15:48:04,070 calibrate.py _range_qc_combined_nc():936 [1] Done range checking ctd1 INFO 2025-06-26 15:48:04,099 calibrate.py _geometric_depth_correction():3423 [1] ctd2: d_beg_time_diff: 27 seconds, d_end_time_diff: -1 seconds INFO 2025-06-26 15:48:04,114 calibrate.py _geometric_depth_correction():3423 [1] ctd2: d_beg_time_diff: 27 seconds, d_end_time_diff: -1 seconds INFO 2025-06-26 15:48:04,115 calibrate.py _ctd_process():2919 [1] Performing range checking of ['ctd2_salinity'] in 2010.257.03/ctd2.nc INFO 2025-06-26 15:48:04,116 calibrate.py _range_qc_combined_nc():898 [1] Setting 0 ctd2_salinity values to NaN INFO 2025-06-26 15:48:04,116 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 15:48:04,116 calibrate.py _range_qc_combined_nc():936 [1] Done range checking ctd2 ERROR 2025-06-26 15:48:04,122 calibrate.py process_logs():3542 [1] Error processing biolume: biolume has no orig_data - likely a missing or zero-sized .log file in missionlogs/2010.257.03 ERROR 2025-06-26 15:48:04,131 calibrate.py process_logs():3542 [1] Error processing ecopuck: ecopuck has no orig_data - likely a missing or zero-sized .log file in missionlogs/2010.257.03 INFO 2025-06-26 15:48:04,135 calibrate.py write_netcdf():3508 [1] Writing calibrated instrument data to /data/auv_data/dorado/missionnetcdfs/2010.257.03/dorado_2010.257.03_cal.nc INFO 2025-06-26 15:48:04,177 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 15:48:04,181 process.py align():251 [1] Alignment steps for 2010.257.03 INFO 2025-06-26 15:48:04,202 align.py process_cal():139 [1] Processing dorado_2010.257.03_cal.nc from /data/auv_data/dorado/missionnetcdfs/2010.257.03 INFO 2025-06-26 15:48:04,206 align.py process_cal():206 [1] Using pitch corrected navigation_depth: mDepth from navigation.nc INFO 2025-06-26 15:48:04,208 align.py process_cal():249 [1] navigation_roll: instrument_sample_rate_hz = 5.00 INFO 2025-06-26 15:48:04,218 align.py process_cal():206 [1] Using pitch corrected navigation_depth: mDepth from navigation.nc INFO 2025-06-26 15:48:04,220 align.py process_cal():249 [1] navigation_pitch: instrument_sample_rate_hz = 5.00 INFO 2025-06-26 15:48:04,228 align.py process_cal():206 [1] Using pitch corrected navigation_depth: mDepth from navigation.nc INFO 2025-06-26 15:48:04,229 align.py process_cal():249 [1] navigation_yaw: instrument_sample_rate_hz = 5.00 INFO 2025-06-26 15:48:04,235 align.py process_cal():161 [1] Skipping navigation_posx INFO 2025-06-26 15:48:04,235 align.py process_cal():161 [1] Skipping navigation_posy INFO 2025-06-26 15:48:04,238 align.py process_cal():206 [1] Using pitch corrected navigation_depth: mDepth from navigation.nc INFO 2025-06-26 15:48:04,240 align.py process_cal():249 [1] navigation_mWaterSpeed: instrument_sample_rate_hz = 5.00 INFO 2025-06-26 15:48:04,248 align.py process_cal():206 [1] Using pitch corrected hs2_depth: Variable depth_filtdepth from dorado_2010.257.03_cal.nc linearly interpolated to hs2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:04,250 align.py process_cal():249 [1] hs2_bbp420: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:04,259 align.py process_cal():206 [1] Using pitch corrected hs2_depth: Variable depth_filtdepth from dorado_2010.257.03_cal.nc linearly interpolated to hs2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:04,260 align.py process_cal():249 [1] hs2_bbp700: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:04,269 align.py process_cal():206 [1] Using pitch corrected hs2_depth: Variable depth_filtdepth from dorado_2010.257.03_cal.nc linearly interpolated to hs2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:04,271 align.py process_cal():249 [1] hs2_fl700: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:04,280 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.257.03_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:04,281 align.py process_cal():249 [1] ctd1_temperature: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:04,290 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.257.03_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:04,292 align.py process_cal():249 [1] ctd1_conductivity: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:04,301 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.257.03_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:04,302 align.py process_cal():249 [1] ctd1_salinity: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:04,311 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.257.03_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:04,313 align.py process_cal():249 [1] ctd1_temperature_onboard: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:04,322 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.257.03_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:04,324 align.py process_cal():249 [1] ctd1_conductivity_onboard: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:04,333 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.257.03_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:04,335 align.py process_cal():249 [1] ctd1_salinity_onboard: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:04,344 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.257.03_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:04,346 align.py process_cal():249 [1] ctd1_dissolvedO2: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:04,356 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.257.03_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:04,358 align.py process_cal():249 [1] ctd1_oxygen_mll: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:04,367 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.257.03_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:04,369 align.py process_cal():249 [1] ctd1_oxygen_umolkg: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:04,378 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.257.03_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:04,379 align.py process_cal():249 [1] ctd1_flow1: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:04,388 align.py process_cal():206 [1] Using pitch corrected ctd1_depth: Variable depth_filtdepth from dorado_2010.257.03_cal.nc linearly interpolated to ctd1_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:04,390 align.py process_cal():249 [1] ctd1_depth: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:04,399 align.py process_cal():206 [1] Using pitch corrected ctd2_depth: Variable depth_filtdepth from dorado_2010.257.03_cal.nc linearly interpolated to ctd2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:04,401 align.py process_cal():249 [1] ctd2_temperature: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:04,410 align.py process_cal():206 [1] Using pitch corrected ctd2_depth: Variable depth_filtdepth from dorado_2010.257.03_cal.nc linearly interpolated to ctd2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:04,412 align.py process_cal():249 [1] ctd2_conductivity: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:04,422 align.py process_cal():206 [1] Using pitch corrected ctd2_depth: Variable depth_filtdepth from dorado_2010.257.03_cal.nc linearly interpolated to ctd2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:04,423 align.py process_cal():249 [1] ctd2_salinity: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:04,433 align.py process_cal():206 [1] Using pitch corrected ctd2_depth: Variable depth_filtdepth from dorado_2010.257.03_cal.nc linearly interpolated to ctd2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:04,435 align.py process_cal():249 [1] ctd2_temperature_onboard: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:04,445 align.py process_cal():206 [1] Using pitch corrected ctd2_depth: Variable depth_filtdepth from dorado_2010.257.03_cal.nc linearly interpolated to ctd2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:04,446 align.py process_cal():249 [1] ctd2_conductivity_onboard: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:04,456 align.py process_cal():206 [1] Using pitch corrected ctd2_depth: Variable depth_filtdepth from dorado_2010.257.03_cal.nc linearly interpolated to ctd2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:04,458 align.py process_cal():249 [1] ctd2_salinity_onboard: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:04,468 align.py process_cal():206 [1] Using pitch corrected ctd2_depth: Variable depth_filtdepth from dorado_2010.257.03_cal.nc linearly interpolated to ctd2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:04,469 align.py process_cal():249 [1] ctd2_flow2: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:04,479 align.py process_cal():206 [1] Using pitch corrected ctd2_depth: Variable depth_filtdepth from dorado_2010.257.03_cal.nc linearly interpolated to ctd2_time and corrected for pitch using SensorOffset(x=4.5, y=0.0) INFO 2025-06-26 15:48:04,481 align.py process_cal():249 [1] ctd2_depth: instrument_sample_rate_hz = 4.00 INFO 2025-06-26 15:48:04,494 align.py process_cal():249 [1] isus_nitrate: instrument_sample_rate_hz = 0.78 INFO 2025-06-26 15:48:04,506 align.py process_cal():249 [1] isus_temp: instrument_sample_rate_hz = 0.78 INFO 2025-06-26 15:48:04,518 align.py process_cal():249 [1] isus_quality: instrument_sample_rate_hz = 0.78 INFO 2025-06-26 15:48:04,530 align.py process_cal():249 [1] lopc_countListSum: instrument_sample_rate_hz = 0.10 INFO 2025-06-26 15:48:04,542 align.py process_cal():249 [1] lopc_transCount: instrument_sample_rate_hz = 0.10 INFO 2025-06-26 15:48:04,555 align.py process_cal():249 [1] lopc_nonTransCount: instrument_sample_rate_hz = 0.10 INFO 2025-06-26 15:48:04,567 align.py process_cal():249 [1] lopc_LCcount: instrument_sample_rate_hz = 0.10 INFO 2025-06-26 15:48:04,580 align.py process_cal():249 [1] lopc_flowSpeed: instrument_sample_rate_hz = 0.10 INFO 2025-06-26 15:48:04,593 align.py process_cal():249 [1] tailcone_propRpm: instrument_sample_rate_hz = 4.94 INFO 2025-06-26 15:48:04,603 align.py write_netcdf():337 [1] Writing aligned data to /data/auv_data/dorado/missionnetcdfs/2010.257.03/dorado_2010.257.03_align.nc INFO 2025-06-26 15:48:04,646 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 15:48:04,648 process.py resample():273 [1] Resampling steps for 2010.257.03 INFO 2025-06-26 15:48:04,649 resample.py resample_mission():1185 [1] Using depth_threshold = 10.00 m INFO 2025-06-26 15:48:04,669 resample.py instruments_variables():235 [1] Reading variables from /data/auv_data/dorado/missionnetcdfs/2010.257.03/dorado_2010.257.03_align.nc mission netCDF file INFO 2025-06-26 15:48:04,673 resample.py instruments_variables():235 [1] Reading variables from /data/auv_data/dorado/missionnetcdfs/2010.257.03/dorado_2010.257.03_align.nc mission netCDF file INFO 2025-06-26 15:48:04,674 resample.py get_mission_start_end():1145 [1] navigation: 2010-09-14T21:54:28.840578304 to 2010-09-14T22:01:03.843518720 (0 days 00:42:55.840392960 before mission_end) WARNING 2025-06-26 15:48:04,675 resample.py get_mission_start_end():1156 [1] Instrument navigation has a gap > 5 minutes at the end of the mission: 0 days 00:42:55.840392960 INFO 2025-06-26 15:48:04,676 resample.py get_mission_start_end():1145 [1] hs2 : 2010-09-14T21:53:45.663536128 to 2010-09-14T22:01:03.723526912 (0 days 00:42:55.960384768 before mission_end) WARNING 2025-06-26 15:48:04,677 resample.py get_mission_start_end():1156 [1] Instrument hs2 has a gap > 5 minutes at the end of the mission: 0 days 00:42:55.960384768 INFO 2025-06-26 15:48:04,678 resample.py get_mission_start_end():1145 [1] ctd1 : 2010-09-14T21:54:07.282055168 to 2010-09-14T22:01:03.763524096 (0 days 00:42:55.920387584 before mission_end) WARNING 2025-06-26 15:48:04,678 resample.py get_mission_start_end():1156 [1] Instrument ctd1 has a gap > 5 minutes at the end of the mission: 0 days 00:42:55.920387584 INFO 2025-06-26 15:48:04,679 resample.py get_mission_start_end():1145 [1] ctd2 : 2010-09-14T21:54:08.022004480 to 2010-09-14T22:01:03.753524736 (0 days 00:42:55.930386944 before mission_end) WARNING 2025-06-26 15:48:04,680 resample.py get_mission_start_end():1156 [1] Instrument ctd2 has a gap > 5 minutes at the end of the mission: 0 days 00:42:55.930386944 INFO 2025-06-26 15:48:04,681 resample.py get_mission_start_end():1145 [1] isus : 2010-09-14T21:54:56.498683392 to 2010-09-14T22:01:02.753593344 (0 days 00:42:56.930318336 before mission_end) WARNING 2025-06-26 15:48:04,682 resample.py get_mission_start_end():1156 [1] Instrument isus has a gap > 5 minutes at the end of the mission: 0 days 00:42:56.930318336 INFO 2025-06-26 15:48:04,683 resample.py get_mission_start_end():1145 [1] lopc : 2010-09-14T22:36:49.183911680 to 2010-09-14T22:43:59.683911680 (0 days 00:00:00 before mission_end) INFO 2025-06-26 15:48:04,684 resample.py get_mission_start_end():1145 [1] tailcone : 2010-09-14T21:53:40.703875840 to 2010-09-14T22:01:03.903514624 (0 days 00:42:55.780397056 before mission_end) WARNING 2025-06-26 15:48:04,684 resample.py get_mission_start_end():1156 [1] Instrument tailcone has a gap > 5 minutes at the end of the mission: 0 days 00:42:55.780397056 INFO 2025-06-26 15:48:04,685 resample.py instruments_variables():235 [1] Reading variables from /data/auv_data/dorado/missionnetcdfs/2010.257.03/dorado_2010.257.03_align.nc mission netCDF file INFO 2025-06-26 15:48:04,685 resample.py resample_coordinates():249 [1] Resampling coordinates depth, latitude and longitude with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,716 resample.py resample_variable():1031 [1] Resampling navigation_roll with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,716 resample.py resample_variable():1038 [1] Padding navigation_roll with 0 days 00:42:55.840392960 of NaNs to the end of mission INFO 2025-06-26 15:48:04,725 resample.py resample_variable():1031 [1] Resampling navigation_pitch with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,725 resample.py resample_variable():1038 [1] Padding navigation_pitch with 0 days 00:42:55.840392960 of NaNs to the end of mission INFO 2025-06-26 15:48:04,734 resample.py resample_variable():1031 [1] Resampling navigation_yaw with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,734 resample.py resample_variable():1038 [1] Padding navigation_yaw with 0 days 00:42:55.840392960 of NaNs to the end of mission INFO 2025-06-26 15:48:04,743 resample.py resample_variable():1031 [1] Resampling navigation_mWaterSpeed with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,743 resample.py resample_variable():1038 [1] Padding navigation_mWaterSpeed with 0 days 00:42:55.840392960 of NaNs to the end of mission INFO 2025-06-26 15:48:04,752 resample.py resample_variable():1031 [1] Resampling hs2_bbp420 with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,752 resample.py resample_variable():1038 [1] Padding hs2_bbp420 with 0 days 00:42:55.960384768 of NaNs to the end of mission INFO 2025-06-26 15:48:04,761 resample.py resample_variable():1031 [1] Resampling hs2_bbp700 with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,761 resample.py resample_variable():1038 [1] Padding hs2_bbp700 with 0 days 00:42:55.960384768 of NaNs to the end of mission INFO 2025-06-26 15:48:04,770 resample.py resample_variable():1031 [1] Resampling hs2_fl700 with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,770 resample.py resample_variable():1038 [1] Padding hs2_fl700 with 0 days 00:42:55.960384768 of NaNs to the end of mission INFO 2025-06-26 15:48:04,779 resample.py resample_variable():1031 [1] Resampling ctd1_temperature with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,779 resample.py resample_variable():1038 [1] Padding ctd1_temperature with 0 days 00:42:55.920387584 of NaNs to the end of mission INFO 2025-06-26 15:48:04,787 resample.py resample_variable():1031 [1] Resampling ctd1_conductivity with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,787 resample.py resample_variable():1038 [1] Padding ctd1_conductivity with 0 days 00:42:55.920387584 of NaNs to the end of mission INFO 2025-06-26 15:48:04,795 resample.py resample_variable():1031 [1] Resampling ctd1_salinity with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,795 resample.py resample_variable():1038 [1] Padding ctd1_salinity with 0 days 00:42:55.920387584 of NaNs to the end of mission INFO 2025-06-26 15:48:04,803 resample.py resample_variable():1031 [1] Resampling ctd1_temperature_onboard with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,803 resample.py resample_variable():1038 [1] Padding ctd1_temperature_onboard with 0 days 00:42:55.920387584 of NaNs to the end of mission INFO 2025-06-26 15:48:04,811 resample.py resample_variable():1031 [1] Resampling ctd1_conductivity_onboard with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,811 resample.py resample_variable():1038 [1] Padding ctd1_conductivity_onboard with 0 days 00:42:55.920387584 of NaNs to the end of mission INFO 2025-06-26 15:48:04,819 resample.py resample_variable():1031 [1] Resampling ctd1_salinity_onboard with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,819 resample.py resample_variable():1038 [1] Padding ctd1_salinity_onboard with 0 days 00:42:55.920387584 of NaNs to the end of mission INFO 2025-06-26 15:48:04,827 resample.py resample_variable():1031 [1] Resampling ctd1_dissolvedO2 with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,827 resample.py resample_variable():1038 [1] Padding ctd1_dissolvedO2 with 0 days 00:42:55.920387584 of NaNs to the end of mission INFO 2025-06-26 15:48:04,835 resample.py resample_variable():1031 [1] Resampling ctd1_oxygen_mll with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,835 resample.py resample_variable():1038 [1] Padding ctd1_oxygen_mll with 0 days 00:42:55.920387584 of NaNs to the end of mission INFO 2025-06-26 15:48:04,843 resample.py resample_variable():1031 [1] Resampling ctd1_oxygen_umolkg with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,843 resample.py resample_variable():1038 [1] Padding ctd1_oxygen_umolkg with 0 days 00:42:55.920387584 of NaNs to the end of mission INFO 2025-06-26 15:48:04,851 resample.py resample_variable():1031 [1] Resampling ctd1_flow1 with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,851 resample.py resample_variable():1038 [1] Padding ctd1_flow1 with 0 days 00:42:55.920387584 of NaNs to the end of mission INFO 2025-06-26 15:48:04,860 resample.py resample_variable():1031 [1] Resampling ctd2_temperature with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,860 resample.py resample_variable():1038 [1] Padding ctd2_temperature with 0 days 00:42:55.930386944 of NaNs to the end of mission INFO 2025-06-26 15:48:04,869 resample.py resample_variable():1031 [1] Resampling ctd2_conductivity with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,869 resample.py resample_variable():1038 [1] Padding ctd2_conductivity with 0 days 00:42:55.930386944 of NaNs to the end of mission INFO 2025-06-26 15:48:04,878 resample.py resample_variable():1031 [1] Resampling ctd2_salinity with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,878 resample.py resample_variable():1038 [1] Padding ctd2_salinity with 0 days 00:42:55.930386944 of NaNs to the end of mission INFO 2025-06-26 15:48:04,887 resample.py resample_variable():1031 [1] Resampling ctd2_temperature_onboard with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,887 resample.py resample_variable():1038 [1] Padding ctd2_temperature_onboard with 0 days 00:42:55.930386944 of NaNs to the end of mission INFO 2025-06-26 15:48:04,896 resample.py resample_variable():1031 [1] Resampling ctd2_conductivity_onboard with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,896 resample.py resample_variable():1038 [1] Padding ctd2_conductivity_onboard with 0 days 00:42:55.930386944 of NaNs to the end of mission INFO 2025-06-26 15:48:04,905 resample.py resample_variable():1031 [1] Resampling ctd2_salinity_onboard with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,905 resample.py resample_variable():1038 [1] Padding ctd2_salinity_onboard with 0 days 00:42:55.930386944 of NaNs to the end of mission INFO 2025-06-26 15:48:04,914 resample.py resample_variable():1031 [1] Resampling ctd2_flow2 with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,914 resample.py resample_variable():1038 [1] Padding ctd2_flow2 with 0 days 00:42:55.930386944 of NaNs to the end of mission INFO 2025-06-26 15:48:04,924 resample.py resample_variable():1031 [1] Resampling isus_nitrate with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,924 resample.py resample_variable():1038 [1] Padding isus_nitrate with 0 days 00:42:56.930318336 of NaNs to the end of mission INFO 2025-06-26 15:48:04,932 resample.py resample_variable():1031 [1] Resampling isus_temp with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,932 resample.py resample_variable():1038 [1] Padding isus_temp with 0 days 00:42:56.930318336 of NaNs to the end of mission INFO 2025-06-26 15:48:04,941 resample.py resample_variable():1031 [1] Resampling isus_quality with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,941 resample.py resample_variable():1038 [1] Padding isus_quality with 0 days 00:42:56.930318336 of NaNs to the end of mission INFO 2025-06-26 15:48:04,950 resample.py resample_variable():1031 [1] Resampling lopc_countListSum with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,958 resample.py resample_variable():1031 [1] Resampling lopc_transCount with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,965 resample.py resample_variable():1031 [1] Resampling lopc_nonTransCount with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,973 resample.py resample_variable():1031 [1] Resampling lopc_LCcount with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,981 resample.py resample_variable():1031 [1] Resampling lopc_flowSpeed with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,990 resample.py resample_variable():1031 [1] Resampling tailcone_propRpm with frequency 1S following 3 point median filter INFO 2025-06-26 15:48:04,990 resample.py resample_variable():1038 [1] Padding tailcone_propRpm with 0 days 00:42:55.780397056 of NaNs to the end of mission INFO 2025-06-26 15:48:05,099 resample.py resample_mission():1297 [1] Saved resampled mission to /data/auv_data/dorado/missionnetcdfs/2010.257.03/dorado_2010.257.03_1S.nc INFO 2025-06-26 15:48:05,595 create_products.py gulper_odv():401 [1] No gulper times found for 2010.257.03 INFO 2025-06-26 15:48:05,595 process.py archive():337 [1] Archiving steps for 2010.257.03 INFO 2025-06-26 15:48:05,596 process.py archive():347 [1] nc_file_base = /data/auv_data/dorado/missionnetcdfs/2010.257.03/dorado_2010.257.03, BASE_PATH = /data/auv_data INFO 2025-06-26 15:48:05,596 archive.py copy_to_AUVTCD():60 [1] Archiving /data/auv_data/dorado/missionnetcdfs/2010.257.03/dorado_2010.257.03 files to /Volumes/AUVCTD/surveys/2010/netcdf INFO 2025-06-26 15:48:05,597 archive.py copy_to_AUVTCD():78 [1] Removing /Volumes/AUVCTD/surveys/2010/netcdf/dorado_2010.257.03_1S.nc INFO 2025-06-26 15:48:05,604 archive.py copy_to_AUVTCD():82 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.257.03/dorado_2010.257.03_1S.nc /Volumes/AUVCTD/surveys/2010/netcdf done. INFO 2025-06-26 15:48:05,605 archive.py copy_to_AUVTCD():78 [1] Removing /Volumes/AUVCTD/surveys/2010/netcdf/dorado_2010.257.03_cal.nc INFO 2025-06-26 15:48:05,613 archive.py copy_to_AUVTCD():82 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.257.03/dorado_2010.257.03_cal.nc /Volumes/AUVCTD/surveys/2010/netcdf done. INFO 2025-06-26 15:48:05,614 archive.py copy_to_AUVTCD():78 [1] Removing /Volumes/AUVCTD/surveys/2010/netcdf/dorado_2010.257.03_align.nc INFO 2025-06-26 15:48:05,623 archive.py copy_to_AUVTCD():82 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.257.03/dorado_2010.257.03_align.nc /Volumes/AUVCTD/surveys/2010/netcdf done. INFO 2025-06-26 15:48:05,628 archive.py copy_to_AUVTCD():108 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.257.03/ctdDriver.nc /Volumes/AUVCTD/missionnetcdfs/2010/2010257/2010.257.03 done. INFO 2025-06-26 15:48:05,634 archive.py copy_to_AUVTCD():108 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.257.03/ctdDriver2.nc /Volumes/AUVCTD/missionnetcdfs/2010/2010257/2010.257.03 done. INFO 2025-06-26 15:48:05,638 archive.py copy_to_AUVTCD():108 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.257.03/gps.nc /Volumes/AUVCTD/missionnetcdfs/2010/2010257/2010.257.03 done. INFO 2025-06-26 15:48:05,642 archive.py copy_to_AUVTCD():108 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.257.03/hydroscatlog.nc /Volumes/AUVCTD/missionnetcdfs/2010/2010257/2010.257.03 done. INFO 2025-06-26 15:48:05,648 archive.py copy_to_AUVTCD():108 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.257.03/navigation.nc /Volumes/AUVCTD/missionnetcdfs/2010/2010257/2010.257.03 done. INFO 2025-06-26 15:48:05,652 archive.py copy_to_AUVTCD():108 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.257.03/isuslog.nc /Volumes/AUVCTD/missionnetcdfs/2010/2010257/2010.257.03 done. INFO 2025-06-26 15:48:05,657 archive.py copy_to_AUVTCD():108 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.257.03/parosci.nc /Volumes/AUVCTD/missionnetcdfs/2010/2010257/2010.257.03 done. INFO 2025-06-26 15:48:05,662 archive.py copy_to_AUVTCD():108 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.257.03/tailCone.nc /Volumes/AUVCTD/missionnetcdfs/2010/2010257/2010.257.03 done. INFO 2025-06-26 15:48:05,670 archive.py copy_to_AUVTCD():108 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.257.03/lopc.nc /Volumes/AUVCTD/missionnetcdfs/2010/2010257/2010.257.03 done. INFO 2025-06-26 15:48:05,670 archive.py copy_to_AUVTCD():116 [1] Archiving product files INFO 2025-06-26 15:48:05,670 archive.py copy_to_AUVTCD():161 [1] copyfile /data/auv_data/dorado/missionnetcdfs/2010.257.03/dorado_2010.257.03_processing.log /Volumes/AUVCTD/surveys/2010/netcdf