Data Assimilation of Satellite-Based Soil Moisture into a Distributed Hydrological Model for Streamflow Predictions

Data Assimilation of Satellite-Based Soil Moisture into a Distributed Hydrological Model for Streamflow Predictions

The authors examine the impact of assimilating satellite-based soil moisture estimates on real-time streamflow predictions made by the distributed hydrologic model HLM. They use SMAP (Soil Moisture Active Passive) and SMOS (Soil Moisture Ocean Salinity) data in an agricultural region of the state of...

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Bibliographic Details
Main Authors:	Navid Jadidoleslam, Ricardo Mantilla, Witold F. Krajewski
Format:	Article
Language:	English
Published:	MDPI AG 2021-03-01
Series:	Hydrology
Subjects:	satellite soil moisture data assimilation Ensemble Kalman Filter flood prediction
Online Access:	https://www.mdpi.com/2306-5338/8/1/52

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