Multi-Model Approaches for Improving Seasonal Ensemble Streamflow Prediction Scheme with Various Statistical Post-Processing Techniques in the Canadian Prairie Region

Multi-Model Approaches for Improving Seasonal Ensemble Streamflow Prediction Scheme with Various Statistical Post-Processing Techniques in the Canadian Prairie Region

Hydrologic models are an approximation of reality, and thus, are not able to perfectly simulate observed streamflow because of various sources of uncertainty. On the other hand, skillful operational hydrologic forecasts are vital in water resources engineering and management for preparedness against...

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Bibliographic Details
Main Authors: Ameer Muhammad, Tricia A. Stadnyk, Fisaha Unduche, Paulin Coulibaly
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Water
Subjects:
ensemble streamflow forecast
multi-model combination
post-processing
uncertainty estimation
WATFLOOD
SWAT
Online Access:https://www.mdpi.com/2073-4441/10/11/1604

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