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MOVING ADCP DATA PROCESSING

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Presentation on theme: "MOVING ADCP DATA PROCESSING"— Presentation transcript:

1 MOVING ADCP DATA PROCESSING
1. Average data at desired interval (with WinRiver) 2. Convert data to ASCII format 3. Depurate data 4. Calibrate compass for each transect repetition 5. Generate a regular matrix for u, v, and t corresponding to each transect repetition 6. Do least squares fit at each node of the matrix MOVING ADCP DATA PROCESSING WinRiver

2 1. Average data to a greater interval
Use raw data Decreases errors and increases data quality

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13 2. Convert to ASCII format
Files found at:

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17 Bin depth Velocity Magnitude Velocity Direction East Component
depth cell length (cm) blank after transmit (cm) ADCP depth # of depth cells # of pings per ensemble time per ensemble (hundredths of s) Profiling mode Date and time Ensemble # # of ensembles in segment pitch roll corrected heading temperature Bottom track vel (east in cm/s) Bottom track vel (north in cm/s) Bottom track vel (vertical in cm/s) Bottom track vel (error in cm/s) Water layer vel Depth Reading (m) Total elapsed distance (m) Total elapsed time (s) Distance traveled north (m) Distance traveled east (m) Course made good (m) Lat & Lon Ship velocity north (cm/s) Ship velocity east (cm/s) Total distance traveled (m) # of bins to follow and units of measurement Velocity reference (BT, layer, none) and intensity units (dB or COUNTS) Intensity scale factor (dB/count) Sound absorption factor (in dB/m) Bin depth Velocity Magnitude Velocity Direction East Component North Component Vertical Error Echo Intensity % good Discharge

18 3. Depurate data with the following criteria (Bronze Matrix):
% good > 80% |error| < 10 cm/s discharge < 100 m3/s ship speed or bottom track speed > 0.15 m/s

19 ucorr = [1 + ] [u cos  - v sin ]
4. Calibrate Compass (Silver Matrix) Method of Joyce (1989, Journal of Atmospheric and Oceanic Technology, 6, ) and Method of Pollard & Reid (1989) tan  =< ubtvsh - vbtush>/<ubtush + vbtvsh> 1 +  = [<ush2 + vsh2>/<ubt2+ vbt2>]1/2 ucorr = [1 + ] [u cos  - v sin ] vcorr = [1 + ] [u sin  + v cos ] where ubt is the East component of the bottom track velocity ush is the East component of the navigation velocity (from GPS) u is the East component of the current velocity measured by the ADCP ucorr is the corrected East component of velocity < > indicates average throughout one transect repetition Carry out the correction for each transect repetition

20 5. Generate a regular matrix for u, v, and t corresponding to each transect repetition
Identify each transect repetition according to the time of beginning and end of each repetition

21 Draw each repetition placing the data (u, v, and t) on a regular grid (distance vs. depth)
The origin of the matrix (zero distance) is arbitrary (e.g. a point at the coast) Calculate the distance from that origin to the location of each profile in order to generate the regular grid The end result is a group of N regular grids, where N is the number of transect repetitions. Each grid point has a time series of N values for u, v, t, and backscatter. Gold Matrix


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