Assimilation of Satellite Soil Moisture Products for River Flow Prediction: An Extensive Experiment in Over 700 Catchments Throughout Europe
Open Access
- 8 June 2021
- journal article
- research article
- Published by American Geophysical Union (AGU) in Water Resources Research
- Vol. 57 (6)
- https://doi.org/10.1029/2021wr029643
Abstract
No abstract availableKeywords
This publication has 69 references indexed in Scilit:
- Elements of a flexible approach for conceptual hydrological modeling: 1. Motivation and theoretical developmentWater Resources Research, 2011
- The influence of soil moisture on threshold runoff generation processes in an alpine headwater catchmentHydrology and Earth System Sciences, 2011
- Error characterisation of global active and passive microwave soil moisture datasetsHydrology and Earth System Sciences, 2010
- Assessment of initial soil moisture conditions for event-based rainfall–runoff modellingJournal of Hydrology, 2010
- Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modellingJournal of Hydrology, 2009
- How crucial is it to account for the antecedent moisture conditions in flood forecasting? Comparison of event-based and continuous approaches on 178 catchmentsHydrology and Earth System Sciences, 2009
- Observation operators for the direct assimilation of TRMM microwave imager retrieved soil moistureGeophysical Research Letters, 2005
- Bias reduction in short records of satellite soil moistureGeophysical Research Letters, 2004
- Lag prediction in ungauged basins: an investigation through actual data of the upper Tiber River valleyHydrological Processes, 2002
- Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statisticsJournal of Geophysical Research: Oceans, 1994