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1.
Dual state-parameter estimation of root zone soil moisture by
optimal
parameter estimation and
extended
Kalman
filter
data
assimilation
作者:
Haishen Lü
a ;
b
;
haishen2001@yahoo.com.cn
;
Zhongbo Yua
;
c
;
Yonghua Zhua
;
Sam Draked
;
Zhenchun Haoa
;
Edward A. Sudickyb
关键词:
Soil moisture content
;
Root zone
;
Richards’
;
equation
;
Optimal
parameters
and
extended
Kalman
filter
data
assimilation
method
;
Particle swarm optimization algorithm
刊名:Advances in Water Resources
年:2011
2.
Forecasting monthly urban water demand using
Extended
Kalman
Filter
and Genetic Programming
作者:
Mohsen Nasseria
;
mm_nasseri@yahoo.com
;
mnasseri@ut.ac.ir
;
Ali Moeinib
;
moeini@ut.ac.ir
;
Massoud Tabeshc
;
mtabesh@ut.ac.ir
关键词:
Forecasting
;
Monthly water demand
;
Genetic programming (GP)
;
Extended
Kalman
Filter
(EKF)
;
Data
assimilation
刊名:Expert Systems with Applications
年:2011
3.
Assimilation
of a ERS scatterometer derived soil moisture index in the ECMWF numerical weather prediction system
作者:
K. Scipal
;
M. Drusch
;
W. Wagner
关键词:
Soil moisture
;
Scatterometer
;
Data
assimilation
;
Numerical weather prediction
刊名:Advances in Water Resources
年:2008
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