LAST CHANGED : 2021/05/19 16:48:21 CRUISE NAME(S) : km2105, hot330 CRUISE DATES : 2021/05/15 to 2021/05/19 SHIP NAME : Kilo Moana PORTS : Honolulu, HI to Honolulu, HI CHIEF SCIENTIST : Tully Rohrer DATABASE NAME : a_km DATA FILES : km2021_134_70981.raw to km2021_138_57600.raw STATUS : to do done ------ ----------- averaged [ x ] loaded [ x ] NOTE: heading correction instrument exists NOTE: time-dependent heading corrections applied IN the ensembles (see cal/rotate/ens_hcorr.ang) check heading correction [ x ] calibration [ x ] edited [ x ] re-check heading correction [ x ] check editing [ x ] figures [ x ] INSTRUMENT : os38 ACQUISITION : PROGRAM : uhdas PROCESSING: : python LOGGING : PARAMETERS : BT : bottom track mode (on or off) SI : sampling interval or averaging period for ensemble (sec) NB : number of bins BL : bin length (m) TD : transducer depth (m) BK : blanking length (m) HO : heading offset applied by DAS (deg) HB : heading bias (deg) CRPH : compensation for roll-pitch-heading, 1:on, 0:off) yy/mm/dd hh:mm:ss BT SI NB BL TD BK HO HB CRPH 2021/05/15 19:48:08 off 300 115 12 7 16 44.55 0.00 0001 HEADING : PRIMARY : heading from gyro CORRECTION : heading correction from posmv NOTE: time-dependent heading corrections applied IN the ensembles (see cal/rotate/ens_hcorr.ang) POSITIONS : gps positions from posmv CALIBRATION : (check original processing parameters) additional rotation -0.1 final transducer angle is: 44.65 (original transducer angle) - (rotate_angle) 44.55 - -0.1 = 44.65 applied scale factor 1.002 additional scale factor (none) COMMENTS : gaps in heading correction? Just a few small ones scattering layers? No bubbles? Some underway bias? No PROCESSOR : T. Rohrer --- processing parameters ---------- ## (determined from "sonar"): model = os ## (determined from "sonar"): frequency = 38 ## (determined from "sonar"): instname = os38 ## (determined from "sonar"): pingtype = bb beamangle 30 cruisename km2105 datatype uhdas ens_len 300 fixfile a_km.gps frequency 38 hcorr_inst posmv instname os38 model os pingtype bb proc_engine python ref_method refsm refuv_smoothwin 3 refuv_source nav sonar os38bb txy_file a_km.agt xducer_dx 16 xducer_dy 6 yearbase 2021 (unless otherwise stated, comments are relative to root processing directory) codaspy:(os38bb)$ =================================== (0) remake all the plots quick_mplplots.py --plots2run all --yearbase 2021 (1) look at heading correction: are there gaps? figview.py cal/rotate/*png [] There were no gaps! [X] There WERE some gaps! One gap, 135.6, 136.6 patch_hcorr.py ---Original Calibration--- - Water Track Calibration: median mean std amplitude 1.0020 1.0014 0.0064 phase -0.0930 -0.0411 0.7294 ---New Calibration--- - Water Track Calibration: median mean std amplitude 1.0020 1.0014 0.0066 phase -0.1000 -0.0434 0.7299 Ran correction: quick_adcp.py --steps2rerun rotate:apply_edit:navsteps:calib --rotate_amplitude 1.002 --rotate_angle -0.1 --auto (2) see what calibration looks like: amp in [0.995, 1.005] : good enough to proceed to the next step. tweak later phase in (-.5, .5) : good enough to proceed to the next step. tweak later rule of thumb: errors when underway: scale factor of 1.02 (i.e. 2%) gives 10cm/s alongtrack error phase error of 1deg gives 10cm crosstrack error (goal is 1cm/s) tail -20 cal/watertrk/adcpcal.out Number of edited points: 24 out of 28 amp = 0.9994 + 0.0009 (t - 137.0) phase = 0.06 + 0.1070 (t - 137.0) median mean std amplitude 1.0000 0.9994 0.0066 phase 0.0000 0.0579 0.7295 nav - pc 0.0000 0.2917 3.6053 var 0.0010 0.0015 0.0016 min var 0.0010 0.0012 0.0009 delta-u -0.9050 -0.7983 3.4319 delta-v -0.1950 0.1262 3.6458 Wow, not sure I've ever seen a perfect median... Continuing with editing, despite median/mean differences. (3) gautoedit.py Really good auto-editing. Removed just a few data points. (4) apply editing quick_adcp.py --steps2rerun apply_edit:navsteps:calib --proc_engine python --datatype uhdas --auto (5) rechecking calibration tail -20 cal/watertrk/adcpcal.out Number of edited points: 24 out of 28 amp = 0.9994 + 0.0009 (t - 137.0) phase = 0.06 + 0.1070 (t - 137.0) median mean std amplitude 1.0000 0.9994 0.0066 phase 0.0000 0.0579 0.7295 nav - pc 0.0000 0.2917 3.6053 var 0.0010 0.0015 0.0016 min var 0.0010 0.0012 0.0009 delta-u -0.9050 -0.7983 3.4319 delta-v -0.1950 0.1262 3.6458 Beautiful! (6) web plots (make sure to save this file now): Making web plots. mkdir webpy cp ../wh300/webpy/sectinfo.txt webpy/ quick_web.py --redo cd ../ cat os38bb/cruise_info.txt dm_notes_os38bb.txt > os38bb.txt ALL done