SWAT‐Based Hydrological Data Assimilation System (SWAT‐HDAS): Description and Case Application to River Basin‐Scale Hydrological Predictions
Open Access
- 7 December 2017
- journal article
- research article
- Published by American Geophysical Union (AGU) in Journal of Advances in Modeling Earth Systems
- Vol. 9 (8), 2863-2882
- https://doi.org/10.1002/2017ms001144
Abstract
No abstract availableFunding Information
- National Science Foundation of China (91425303, 41671375)
- Chinese Academy of Sciences
This publication has 73 references indexed in Scilit:
- Comparison of ensemble-based state and parameter estimation methods for soil moisture data assimilationAdvances in Water Resources, 2015
- Improving the representation of hydrologic processes in Earth System ModelsWater Resources Research, 2015
- Integrated study of the water–ecosystem–economy in the Heihe River BasinNational Science Review, 2014
- Hydrological ensemble prediction systemsHydrological Processes, 2012
- Improving hydrologic predictions of a catchment model via assimilation of surface soil moistureAdvances in Water Resources, 2011
- A new data assimilation approach for improving runoff prediction using remotely-sensed soil moisture retrievalsHydrology and Earth System Sciences, 2009
- Hydrological data assimilation with the ensemble Kalman filter: Use of streamflow observations to update states in a distributed hydrological modelAdvances in Water Resources, 2008
- Assimilating remotely sensed snow observations into a macroscale hydrology modelAdvances in Water Resources, 2006
- LARGE AREA HYDROLOGIC MODELING AND ASSESSMENT PART I: MODEL DEVELOPMENT1Jawra Journal of the American Water Resources Association, 1998
- A comprehensive surface-groundwater flow modelJournal of Hydrology, 1993