LAST CHANGED : 2014/12/19 16:58:26 CRUISE NAME(S) : km1427, hot268 CRUISE DATES : 2014/12/15 to 2014/12/19 SHIP NAME : Kilo Moana PORTS : Honolulu, HI to Honolulu, HI CHIEF SCIENTIST : Susan Curless DATABASE NAME : a_km DATA FILES : km2014_345_63777.raw to km2014_352_57600.raw STATUS : to do done ------ ----------- averaged [ ] loaded [ ] NOTE: heading correction instrument exists NOTE: time-dependent heading corrections applied IN the ensembles (see cal/rotate/ens_hcorr.ang) check heading correction [ ] calibration [ ] edited [ ] re-check heading correction [ ] check editing [ ] figures [ ] INSTRUMENT : wh300 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 2014/12/12 17:44:58 off 120 70 2 7 2 45.52 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 : original transducer orientation: 45.52 transducer depth: 7.0 (check original processing parameters) additional rotation 0 final transducer angle is: (original transducer angle) - (rotate_angle) applied scale factor 1 additional scale factor (none) COMMENTS : gaps in heading correction? scattering layers? bubbles? underway bias? PROCESSOR : I.M. Persistent --- processing parameters ---------- ## (determined from "sonar"): model = wh ## (determined from "sonar"): frequency = 300 ## (determined from "sonar"): pingtype = bb ## (determined from "sonar"): instname = wh300 beamangle 20 cruisename pierside_post_km1427 datatype uhdas ens_len 120 fixfile a_km.gps frequency 300 hcorr_inst posmv instname wh300 model wh pingtype bb proc_engine python ref_method refsm refuv_smoothwin 3 refuv_source nav sonar wh300 txy_file a_km.agt xducer_dx -2 xducer_dy 1 yearbase 2014 (unless otherwise stated, comments are relative to root processing directory) haupia:(wh300)$ =================================== this is a linux machine; use little-endian database (remove all other databases) (0) remake all the plots quick_mplplots.py --plots2run all --yearbase 2014 (1) look at heading correction: are there gaps? figview.py cal/rotate/*png There were NO gaps (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 ** watertrack ** (HOT-268) Number of edited points: 30 out of 31 amp = 1.0088 + 0.0028 (t - 350.7) phase = 0.09 + -0.0198 (t - 350.7) median mean std amplitude 1.0080 1.0088 0.0086 phase 0.0970 0.0856 0.4020 nav - pc 1.0000 0.6333 1.8096 var 0.0010 0.0012 0.0009 min var 0.0010 0.0008 0.0008 delta-u -0.7600 -0.4440 3.8218 delta-v 0.7350 0.4743 3.7336 (this will need amplitude and phase adjustment in later steps) (3) edit: gautoedit.py .. from gautoedit, for every screen do - show now - additional manual editing if necessary - list to disk (creates/appends new a*.asc files with new flags) (4) apply editing from dir sonar: quick_adcp.py --steps2rerun apply_edit:navsteps:calib --proc_engine python -- datatype uhdas --auto (5) apply calibration correct to third sig fig for amplitude; second for phase if both are positive values, enter a positive correction quick_adcp.py --steps2rerun rotate:navsteps:calib:matfiles --proc_engine python --rotate_amplitude 1.008 --rotate_angle 0.097 --datatype uhdas --auto tail -20 cal/watertrk/adcpcal.out ** watertrack ** (HOT-268) Number of edited points: 30 out of 31 amp = 1.0007 + 0.0027 (t - 350.7) phase = -0.01 + -0.0198 (t - 350.7) median mean std amplitude 1.0000 1.0007 0.0086 phase 0.0105 -0.0126 0.3995 nav - pc 0.5000 0.6667 1.1842 var 0.0010 0.0006 0.0007 min var 0.0000 0.0006 0.0007 delta-u -0.7600 -0.4440 3.8218 delta-v 0.7350 0.4743 3.7336 Looks GOOD (6) web plots: quick_web.py --interactive cd ../ cat wh300/cruise_info.txt dm_notes_wh300.txt > wh300.txt ALL done