Example of how to use the sowfa_precursor API to look at presursor simulation stats

Inputs are stored in sowfa_precursor.Sim.input
Outputs that are calculated are stored in sowfa_precursor.Sim.output
To use this script, sowfa_precursor.py must be in the same folder as this script or in your $PYTHONPATH
Settings are read from the SOWFA setUp file and the ABLSolver log file. Accordingly, both files must be in the dir that is specified when the sowfa_precursor.Sim object
Please make pull requests if something is broken or if you make improvments to this code
See also ./sowfa_precursor_example.py



In [ ]:

    
import numpy as np
from importlib import reload
import sowfa_precursor
sowfa_precursor = reload(sowfa_precursor)
%matplotlib inline

Creat sowfa_precursor object and enter neccisary user inputs



In [ ]:

    
precursor =  sowfa_precursor.Sim(
    dir='./',                  # SOWFA case directory
    log='log.1.ABLSolver',     # SOWFA log file
    time_dir='0',              # directory in dir/postProcessing/averaging that will be used to compute averages
    avg_time=29000,            # time (s) which average stats are computed around
    avg_width=2000,            # size of the averaging window in seconds
    z_level=90.0)              # hight at which to plot stats
precursor.input['heights'] = np.array([0,1/2,1,3/2,2,3,4,5])*precursor.input['windHeight']

Make Plots



In [ ]:

    
precursor.theta_w_avg_cell()



In [ ]:

    
precursor.Umean_avg_nonnormalized()



In [ ]:

    
precursor.Tmean_avg_nonnormalized()



In [ ]:

    
precursor.variances_avg_cell()