Deriving catchment-scale water and energy balance parameters using data assimilation based on extended Kalman filtering

被引:12
作者
Boulet, G [1 ]
Kerr, Y [1 ]
Chehbouni, A [1 ]
Kalma, JD [1 ]
机构
[1] CESBIO, CNRS, UPS, IRD, F-31401 Toulouse 4, France
来源
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES | 2002年 / 47卷 / 03期
关键词
SVAT model; data assimilation; extended Kalman filter; effective parameters; New South Wales; Australia;
D O I
10.1080/02626660209492946
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Important catchment-scale water and energy balance parameters are derived for a small catchment in southeastern Australia by assimilation in a catchment-scale soil-vegetation-atmosphere transfer (SVAT) model of subcatchment-scale soil water content observations and land surface temperature measurements. in order to incorporate the subcatchment-scale soil moisture variability and its time evolution in a data assimilation scheme, an extended Kalman filter (EKF) method is used in combination with a cost function minimization approach to derive effective parameters for the catchment as a whole, These parameters are the minimum surface resistance to evaporation and the soil hydrodynamic parameters. This method provides a balanced assessment of all the uncertainties regarding the description of the catchment hydrological behaviour. Moreover, these uncertainties are propagated forward in time in a single framework, which combines soil moisture correction with effective parameter estimation. Two issues are addressed in this paper: (a) the applicability of the method for scaling purposes (effective parameterization) and (b) the relationship between effective parameters obtained by this method and parameters obtained by a classical minimization routine that ignores soil moisture correction and observation uncertainty. Effective parameters are found to be consistent,,with the available local parameter measurements. Derived parameter sets with and without EKF have been found to be very similar and this has been explained in a number of ways.
引用
收藏
页码:449 / 467
页数:19
相关论文
共 23 条
[1]  
Beven K.J., 1979, HYDROL SCI B, V24, P43, DOI [DOI 10.1080/02626667909491834, 10.1080/02626667909491834]
[2]   A simple water and energy balance model designed for regionalization and remote sensing data utilization [J].
Boulet, G ;
Chehbouni, A ;
Braud, I ;
Vauclin, M ;
Haverkamp, R ;
Zammit, C .
AGRICULTURAL AND FOREST METEOROLOGY, 2000, 105 (1-3) :117-132
[3]   An assessment of effective land surface parameterisation in regional-scale water balance studies [J].
Boulet, G ;
Kalma, JD ;
Braud, I ;
Vauclin, M .
JOURNAL OF HYDROLOGY, 1999, 217 (3-4) :225-238
[4]   Combined spatial and Kalman filter estimation of optimal soil hydraulic properties [J].
Cahill, AT ;
Ungaro, F ;
Parlange, MB ;
Mata, M ;
Nielsen, DR .
WATER RESOURCES RESEARCH, 1999, 35 (04) :1079-1088
[5]  
Calvet JC, 1998, J APPL METEOROL, V37, P371, DOI 10.1175/1520-0450(1998)037<0371:RTRZSM>2.0.CO
[6]  
2
[7]   SOLVING THE INVERSE PROBLEMS FOR SOIL-MOISTURE AND TEMPERATURE PROFILES BY SEQUENTIAL ASSIMILATION OF MULTIFREQUENCY REMOTELY-SENSED OBSERVATIONS [J].
ENTEKHABI, D ;
NAKAMURA, H ;
NJOKU, EG .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1994, 32 (02) :438-448
[9]  
FRANCOIS C, 1999, ACT AT MOD ATM 30 NO, P195
[10]   Preferred states in spatial soil moisture patterns: Local and nonlocal controls [J].
Grayson, RB ;
Western, AW ;
Chiew, FHS ;
Bloschl, G .
WATER RESOURCES RESEARCH, 1997, 33 (12) :2897-2908