Impact of Satellite and In Situ Data Assimilation on Hydrological Predictions

Impact of Satellite and In Situ Data Assimilation on Hydrological Predictions

The assimilation of different satellite and in situ products generally improves the hydrological model predictive skill. Most studies have focused on assimilating a single product at a time with the ensemble size subjectively chosen by the modeller. In this study, we used the European-scale Hydrolog...

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Bibliographic Details
Main Authors: Jude Lubega Musuuza, David Gustafsson, Rafael Pimentel, Louise Crochemore, Ilias Pechlivanidis
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Remote Sensing
Subjects:
data assimilation
ensemble kalman filter
satellite data
in situ data
hydrological predictions
Online Access:https://www.mdpi.com/2072-4292/12/5/811

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