WinRiver

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

2. Convert to ASCII format Generates large data files

Bin depth Velocity Magnitude Velocity Direction East Component depth cell length (cm) ADCP depth (cm) # 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) Discharge Values # 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 Component Error Echo % good Discharge

3. Depurate data with the following criteria: % good > 90% |error| < 8 cm/s discharge < 100 m3/s ship speed or bottom track speed > 1 m/s

Identify each transect repetition from start and ending times

Identify start and end of each transect repetition

ucorr = [1 + ] [u cos  - v sen ] 4. Calibrate Compass Method of Joyce (1989, Journal of Atmospheric and Oceanic Technology, 6, 169-172) and Method of Pollard & Reid (1989) tan  =< ubtvsh - vbtush>/<ubtush + vbtvsh> 1 +  = [<ush2 + vsh2>/<ubt2+ vbt2>]1/2 ucorr = [1 + ] [u cos  - v sen ] vcorr = [1 + ] [u sen  + 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

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

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.