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WinRiver. 1. Average data to a greater interval Use raw data Decreases errors and increases data quality. 2. Convert to ASCII format Files found at: http://users.coastal.ufl.edu/~arnoldo/eoc6934/ponce/adcp /. depth cell length (cm). Bottom track vel (east in cm/s).

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slide2

1. Average data to a greater interval

Use raw data

Decreases errors and increases data quality

slide13

2. Convert to ASCII format

Files found at:

http://users.coastal.ufl.edu/~arnoldo/eoc6934/ponce/adcp/

slide18

depth cell length (cm)

Bottom track vel (east in cm/s)

time per ensemble (hundredths of s)

Profiling mode

# of depth cells

Ensemble #

# of ensembles in segment

pitch

roll

ADCP depth

blank after transmit (cm)

corrected heading

temperature

Total elapsed time (s)

# of pings per ensemble

Bottom track vel (vertical in cm/s)

Bottom track vel (error in cm/s)

Total elapsed distance (m)

Distance traveled north (m)

Distance traveled east (m)

Course made good (m)

Bottom track vel (north in cm/s)

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)

Date and time

Discharge Values

Depth Reading (m)

Water layer vel

Lat & Lon

% good

Velocity Magnitude

Velocity Direction

East Component

North Component

Vertical

Error

Echo Intensity

Discharge

Bin depth

slide19

3. Depurate data with the following criteria (for Lily Springs):

% good > 20%

|error| < 10 cm/s

slide20

3. Depurate data with the following criteria (for other data):

% good > 80%

|error| < 10 cm/s

discharge < 100 m3/s

ship speed or bottom track speed > 0.15 m/s

slide21

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 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

slide22

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

slide23

Draw each repetition placing the data (u, v, andt) 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 Nregular grids, whereNis the number of transect

repetitions.

Each grid point has a time series ofNvalues foru,v, t, andbackscatter.