Calibration of a soil moisture model over grassland using L-band microwave radiometry

被引:1
作者
Loew, Alexander [1 ]
Schwank, Mike [2 ]
机构
[1] Max Planck Inst Meteorol, D-20146 Hamburg, Germany
[2] Swiss Fed Res Inst WSL, CH-8903 Birmensdorf, Switzerland
关键词
LAND-SURFACE; NEAR-SURFACE; ERS SCATTEROMETER; THERMAL INERTIA; RETRIEVAL; SCALE; EVAPOTRANSPIRATION; DISAGGREGATION; ASSIMILATION; EMISSION;
D O I
10.1080/01431160903260981
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Land surface models are widely used to simulate water and energy fluxes at the land surface. To perform realistic simulations, an appropriate model parameterization and calibration is required. The present paper investigates the general potential of using L-band microwave radiometer data for the calibration of a simple soil wetness model. A ground based L-band radiometer was used to measure the dual polarized microwave emission from a grass covered area throughout the vegetation period in 2004. It was found that L-band microwave data provided a robust proxy for surface soil moisture conditions for the used data set which is consistent with previous findings. The microwave data is used for the calibration of a simple soil moisture model. Using the L-band data resulted in improved simulation skills of surface soil water dynamics as well as a better representation of deeper soil water storage. The correlation r between the soil moisture model estimates and the actual soil moisture was improved from [image omitted] to [image omitted] for the surface and (root zone) soil water content, respectively. The results of the study reveal the general potential of using L-band microwave radiometry for an improved parameterization of land surface models which might be an interesting application for proposed and recent L-band microwave satellite missions such as the NASA Soil Moisture Active/Passive (SMAP) and the European Soil Moisture and Ocean Salinity Mission (SMOS).
引用
收藏
页码:5163 / 5177
页数:15
相关论文
共 60 条
[1]   Multifrequency soil moisture inversion from SAR measurements with the use of IEM [J].
Bindlish, R ;
Barros, AP .
REMOTE SENSING OF ENVIRONMENT, 2000, 71 (01) :67-88
[2]  
Calvet JC, 2000, J HYDROMETEOROL, V1, P393, DOI 10.1175/1525-7541(2000)001<0393:FNSTRZ>2.0.CO
[3]  
2
[4]   Validation of ERS scatterometer-derived soil moisture data in the central part of the Duero Basin, Spain [J].
Ceballos, A ;
Scipal, K ;
Wagner, W ;
Martínez-Fernández, J .
HYDROLOGICAL PROCESSES, 2005, 19 (08) :1549-1566
[5]  
CHODHURY BJ, 1993, INT J REMOTE SENS, V14, P444
[6]   Continental-scale evaluation of remotely sensed soil moisture products [J].
Crow, Wade T. ;
Zhan, Xiwu .
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2007, 4 (03) :451-455
[7]   Impact of soil water property parameterization on atmospheric boundary layer simulation [J].
Cuenca, RH ;
Ek, M ;
Mahrt, L .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1996, 101 (D3) :7269-7277
[8]  
Delworth TL, 1988, J CLIMATE, V1, DOI 10.1175/1520-0442(1988)001<0523:TIOPEO>2.0.CO
[9]  
2
[10]   Evaluation of an antecedent precipitation index to model runoff yield in the western Sierra Madre (North-west Mexico) [J].
Descroix, L ;
Nouvelot, JF ;
Vauclin, M .
JOURNAL OF HYDROLOGY, 2002, 263 (1-4) :114-130