Assimilating multi-site measurements for semi-distributed hydrological model updating

• Main Authors: CHEN, Jiongfeng, ZHANG, Wanchang, GAO, Junfeng, CAO, Kai
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2012
• Subjects: Databases and Information Systems; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/5409; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=6412&context=sis_research
• Institution: Singapore Management University

Accurate estimates of the uncertainties associated with hydrological model are essential for better streamflow simulation. This paper explores the Ensemble Kalman Filter (EnKF), an ensemble data assimilation method, for semi-distributed hydrological model updating. The semi-distributed model is very...