hydrobm.benchmarks.bm_mean_flow
- hydrobm.benchmarks.bm_mean_flow(data, cal_mask, streamflow='streamflow')[source]
Calculate the mean flow over the calculation period and use that as a predictor for all timesteps in the whole dataframe.
- Parameters:
- datapandas DataFrame
Input data containing streamflow column.
- cal_maskpandas Series
Boolean mask for the calculation period.
- streamflowstr, optional
Name of the streamflow column in the input data. Default is [‘streamflow’].
- Returns:
- bm_vals: float
Mean flow value for the calculation period.
- qbmpandas DataFrame
Benchmark flow time series for the mean flow benchmark model.