Assimilating multi-site measurements for semi-distributed hydrological model updating
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...
Saved in:
Main Authors: | CHEN, Jiongfeng, ZHANG, Wanchang, GAO, Junfeng, CAO, Kai |
---|---|
格式: | text |
語言: | English |
出版: |
Institutional Knowledge at Singapore Management University
2012
|
主題: | |
在線閱讀: | https://ink.library.smu.edu.sg/sis_research/5409 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=6412&context=sis_research |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Singapore Management University |
語言: | English |
相似書籍
-
A near-optimal change-detection based algorithm for piecewise-stationary combinatorial semi-bandits
由: ZHOU, Huozhi, et al.
出版: (2020) -
The application of decision tree to intensity change classification of tropical cyclones in western North Pacific
由: ZHANG, Wei, et al.
出版: (2013) -
A reliable and consistent fully distributed database
由: Claudio, Patricia Maria R.
出版: (1989) -
Improvements in typhoon intensity change classification by incorporating an ocean coupling potential intensity index into decision trees
由: GAO, Si, et al.
出版: (2016) -
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications
出版: (2017)