Improving Operational Ensemble Streamflow Forecasting with Conditional Bias-Penalized Post-Processing of Precipitation Forecast and Assimilation of Streamflow Data

This work aims at improving the accuracy of ensemble streamflow forecasts at short-to-medium ranges with the conditional bias-penalized regression (CBPR)-aided Meteorological Ensemble Forecast Processor (MEFP) and streamflow data assimilation (DA). To assess the potential impact of the CBPR-aided ME...

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Hlavní autoři:	Sunghee Kim, Dong-Jun Seo
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-08-01
Edice:	Hydrology
Témata:	ensemble streamflow forecasting conditional bias data assimilation
On-line přístup:	https://www.mdpi.com/2306-5338/12/9/229
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