API

The ETRM Model

Rasters

Helper Funcs

Helper functions used by ETRM

raster_finder

time_series_manager

recharge.time_series_manager.amf_obs_time_series(dict_, save_cleaned_data_path=False, complete_days_only=False, close_threshold=0.2, return_low_err=False)

Analyze, clean and return dict of AmeriFlux sites and relevant data.

Parameters:

• dict – dict object of Ameriflux IDs as keys, nested dict with ‘Name’, ‘Coords’ etc
• path – string path to AmeriFlux folder containing AmeriFlux csv files
• return_low_err – retun dataframe of only low energy balance closure error
• close_threshold – threshold of error tolerated
• complete_days_only – return only full days of valid data
• save_cleaned_data_path – path to save location of output

# (year, dtime, H, LE, FG, RN, RG, RGin, RGout) # H = sensible heat flux # LE = latent heat flux # FG = soil heat flux # RN = net radiation # RG = incoming shortwave # RGout = outgoing shortwave # RGL = incoming longwave # RGLout = outgoing longwave

recharge.time_series_manager.get_etrm_time_series(input_root, dict_)

Read pre-extracted data out of a formatted csv. Use recharge.point_extract_utility.py to do extract.

Parameters:

• input_root – path to a folder of csv files.
• dict – dict of point locations

csv will be in the following format [‘kcb’, ‘rg’, ‘etrs’, ‘min_temp’, ‘max_temp’, ‘temp’, ‘precip’]

recharge.time_series_manager.load_df(path)

Parameters:path – path to csv file

:returns dataframe of etrm time series input

dict_setup

point_extract_utility

raster_tools

tools