hydrobm.benchmarks.bm_rainfall_runoff_ratio_to_timestep

hydrobm.benchmarks.bm_rainfall_runoff_ratio_to_timestep(data, cal_mask, precipitation='precipitation', streamflow='streamflow')

Calculate the long-term rainfall-runoff ratio over the calculation period and use that as a predictor of runoff-from-precipitation for each timestep in the whole dataframe.

Parameters:

datapandas DataFrame

Input data containing precipitation and streamflow columns.

cal_maskpandas Series

Boolean mask for the calculation period.

precipitationstr, optional

Name of the precipitation column in the input data. Default is [‘precipitation’].

streamflowstr, optional

Name of the streamflow column in the input data. Default is [‘streamflow’].

Returns:

bm_vals: float

Rainfall-runoff ratio value for the calculation period.

qbmpandas DataFrame

Benchmark flow time series for the rainfall-runoff ratio (RRR) benchmark model. Computed as long-term RRR multiplied by precipitation at each timestep.