1. WinRiver

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

12. 2. Convert to ASCII format
Generates large data files

15. 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

16. 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

17. Identify each transect repetition from start and ending times

18. Identify start and end of each transect repetition

19. ucorr = [1 + ] [u cos  - v sen ]
4. Calibrate Compass
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 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

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.