Investigating soil moisture sensitivity to precipitation and evapotranspiration errors using SiB2 model and ensemble Kalman filter

Author： Fu Xiaolei Yu Zhongbo Luo Lifeng Lü Haishen Liu Di Ju Qin Yang Tao Xu Feng Gu Huanghe Yang Chuanguo Chen Jingwen Wang Ting

Publisher： Springer Publishing Company

ISSN： 1436-3240

Source： Stochastic Environmental Research and Risk Assessment, Vol.28, Iss.3, 2014-03, pp. : 681-693

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Related content

Application of a data assimilation method via an ensemble Kalman filter to reactive urea hydrolysis transport modeling

By Tong Juxiu Hu Bill Huang Hai Guo Luanjin Yang Jinzhong

Stochastic Environmental Research and Risk Assessment, Vol. 28, Iss. 3, 2014-03 ,pp. : 729-741

Springer Publishing Company

Access to resources Recommend Favorite

The comparison of sensitivity analysis of hydrological uncertainty estimates by GLUE and Bayesian method under the impact of precipitation errors

By Li Lu Xu Chong-Yu

Stochastic Environmental Research and Risk Assessment, Vol. 28, Iss. 3, 2014-03 ,pp. : 491-504

Springer Publishing Company

Access to resources Recommend Favorite

The Kalman Filter Approach for Time-varying Estimation

By Massimo Gastaldi Annamaria Nardecchia

Systems Analysis Modelling Simulation, Vol. 43, Iss. 8, 2003-08 ,pp. : 1033-1042

Taylor & Francis Ltd

Access to resources Recommend Favorite

A reduced basis Kalman filter for parametrized partial differential equations∗

By Dihlmann Markus Haasdonk Bernard

ESAIM: Control, Optimisation and Calculus of Variations, Vol. 22, Iss. 3, 2016-06 ,pp. : 625-669

Edp Sciences

Access to resources Recommend Favorite

DelEnsembleElec: Computing Ensemble-Averaged Electrostatics Using DelPhi

Communications in Computational Physics, Vol. 13, Iss. 1, 2013-01 ,pp. : 256-268

Cambridge University Press

Access to resources Recommend Favorite