pywrdrb.post.calculate_error_metrics.calculate_error_metrics

pywrdrb.post.calculate_error_metrics.calculate_error_metrics#

pywrdrb.post.calculate_error_metrics.calculate_error_metrics(reservoir_downstream_gages, major_flows, models, output, nodes, scenarios, start_date=None, end_date=None, end_inclusive=False)#

Compute error metrics for modeled vs. observed flows across nodes, models, and scenarios.

Parameters:

  • reservoir_downstream_gages (dict) – Dictionary of observed reservoir downstream gage flows.

  • major_flows (dict) – Dictionary of observed major flow locations.

  • models (list of str) – List of model names.

  • output (object) – Simulation output object with reservoir and flow values.

  • nodes (list of str) – Nodes to evaluate (reservoirs or major flows).

  • scenarios (list of str) – Scenario identifiers.

  • start_date (str or pandas.Timestamp, optional) – Start of evaluation period.

  • end_date (str or pandas.Timestamp, optional) – End of evaluation period.

  • end_inclusive (bool, optional) – Whether to include end_date in the evaluation window. Default is False.

Returns:

Multi-indexed dataframe with metrics by node, model, and scenario.

Return type:

pandas.DataFrame