nwm_metrics.event_metric_functions

Functions to compute event-based metrics.

Functions:

• identify_events: Conduct first-round event detection using hydrotools.events.event_detection.

• separate_compound_events: Separate compound/multi-peak events into single-peak events.

• pair_events: One-to-one pairing of observed and model events with optional virtual events.

• compute_event_metrics: Compute event-based metrics given paired observed and model events.

• preprocess_series: Resample to hourly and interpolate short gaps.

• split_into_valid_chunks: Split time series into continuous NaN-free chunks.

• plot_event_timeseries: Plot observed and simulated streamflow time series with event peak markers.

• validate_events: Validate event chronology and non-overlap.

• event_based_metrics: Compute event-based metrics: PKBIAS, PKTE, EVBIAS. Optionally, plot time series with event markers.

• get_event_peaks: Get observed and modeled event peaks.

Functions

compute_event_metrics	Compute event-based metrics given paired observed and model events.
event_based_metrics	Compute event-based metrics: PKBIAS, PKTE, EVBIAS.
get_event_peaks	Get observed and modeled event peaks.
identify_events	Conduct first-round event detection using hydrotools.events.event_detection.
merge_short_events	Merge events shorter than the minimum duration with the nearest neighboring event.
pair_events	One-to-one pairing of observed and model events with optional virtual events.
plot_event_timeseries	Plot observed and simulated streamflow time series with event peak markers.
preprocess_series	Resample to hourly and interpolate short gaps.
separate_compound_events	Separate compound/multi-peak events into single-peak events.
split_into_valid_chunks	Split time series into continuous NaN-free chunks.
validate_events	Validate event chronology and non-overlap.