tidal-analysis

Using csv data file having ocean current data at one location to find the tidal constituents.

1. first take the csv file and read by pandas.read_csv()
2. get the tidal constituents from it, and save it as another csv file. this is later used to get the reconstructed tide.
3. use the data from both these files to plot
4. calculate residue from the difference of zonal and tidal_fit components(tide.u from reconstruction)

When it comes to handling multiple files.. please use the master_script.py

comments are given there itself. A brief steps are given below,

 input files 
 sort the files
 fetch files length(timesteps) and store it for further use
 define functions to replace the names, variables, etc
 define functions to copy/rewrite a text/(control file for TASK) file
 start the loop
       open files
       define variables
       copy tira1m.ctl file
       use date.dt.strftime to get timestep values
       write tide.txt by fetching the U, V values (separately for each current)
      
       run task for zonal current
       write the tira.pri(file that contains tidal constituents information) as csv file, further export 
       
       do the above $$ steps for meridional component too
    
       Load the outputs of tide1.out and tide2.out to getch the u-raw, u-tide, u-residual currents, same for meridional data as well
       export the data using xarray.Dataset creation method.
       if neeeded add the dimension of depth( was necessary for mine)
       add attributes to the variable and its coordinates
       convert calendar if needed
       Change the tira1m.ctl files inside variables, so as to proceed to next file with a new control file