Matlab access to CODAS data

For the general user:

1. read.m: reading ADCP data directly using matlab: follow this link

   • advantages:

     • quick, straightforward
     • direct access to ENX and LTA data

   • disadvantages:

     • no editing or processing

2. getmat: getting all bins and all profiles from a CODAS database; follow this link

   • advantages:

     • simple to set up: extract with one executable, load with one matlab file
     • extract every bin and every profile
     • access to many variables (time, position, velocity, amplitude, temperature, heading)

   • disadvantages:

     • no averaging

3. get_xfraw read UHDAS single-ping ADCP data with ancillary data attached; follow this link

   • advantages:

     • access to many variables (time, position, velocity, amplitude, temperature, heading)

   • disadvantages:

     • must install UH Currents group matlab code and fix MATLABPATH

For the more sophisticated user:

1. run_agetmat: getting all bins and all profiles from a database in one step; follow this link

   • advantages:

     • quick, straightforward;

   • disadvantages:

     • no averaging
     • more compleicated setup; (must have correct PATH and MATLABPATH)

2. adcpsect: getting velocities from a codas database; follow this link

   • advantages:

     • provides more control over extraction parameters;
     • used by quick_adcp.py to provide data for scientists
     • requires only executable program “adcpsect”

   • disadvantages:

     • only provides time, position, and velocity ;
     • requires more setup for the user