Impact of Satellite and In Situ Data Assimilation on Hydrological Predictions

• Published in: Remote Sensing
• Main Authors: Jude Lubega Musuuza, David Gustafsson, Rafael Pimentel, Louise Crochemore, Ilias Pechlivanidis
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2020
• Subjects: data assimilation; ensemble kalman filter; satellite data; in situ data; hydrological predictions; Science; Q; Umeälven; Northern Sweden
• Online Access: https://doi.org/10.3390/rs12050811; https://doaj.org/article/fc682353bb0a4f509f5121c22232f424

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...