Global Assimilation of Multiangle and Multipolarization SMOS Brightness Temperature Observations into the GEOS-5 Catchment Land Surface Model for Soil Moisture Estimation

被引:119
作者
De Lannoy, Gabrielle J. M. [1 ,2 ,3 ,4 ]
Reichle, Rolf H. [1 ]
机构
[1] NASA, Goddard Space Flight Ctr, Greenbelt, MD USA
[2] Univ Space Res Assoc, Columbia, MD USA
[3] Katholieke Univ Leuven, Dept Earth & Environm Sci, Celestijnenlaan 200 E, B-3001 Heverlee, Belgium
[4] Katholieke Univ Leuven, Div Soil & Water Management, B-3001 Heverlee, Belgium
关键词
VARIATIONAL DATA ASSIMILATION; CLIMATE REFERENCE NETWORK; RADIATIVE-TRANSFER MODEL; INSTRUMENT PERFORMANCE; NEAR-SURFACE; AMSR-E; CALIBRATION; SYSTEM; SCHEME; RETRIEVALS;
D O I
10.1175/JHM-D-15-0037.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Multiangle and multipolarization L-band microwave observations from the Soil Moisture Ocean Salinity (SMOS) mission are assimilated into the Goddard Earth Observing System Model, version 5 (GEOS-5), using a spatially distributed ensemble Kalman filter. A variant of this system is also used for the Soil Moisture Active Passive (SMAP) Level 4 soil moisture product. The assimilation involves a forward simulation of brightness temperatures (Tb) for various incidence angles and polarizations and an inversion of the differences between Tb forecasts and observations into updates to modeled surface and root-zone soil moisture, as well as surface soil temperature. With SMOS Tb assimilation, the unbiased root-mean-square difference between simulations and gridcell-scale in situ measurements in a few U.S. watersheds during the period from 1 July 2010 to 1 July 2014 is 0.034 m(3) m(-3) for both surface and root-zone soil moisture. A validation against gridcell-scale measurements and point-scale measurements from sparse networks in the United States, Australia, and Europe demonstrates that the assimilation improves both surface and root-zone soil moisture results over the open-loop (no assimilation) estimates in areas with limited vegetation and terrain complexity. At the global scale, the assimilation of SMOS Tb introduces mean absolute increments of 0.004 m(3) m(-3) to the profile soil moisture content and 0.7 K to the surface soil temperature. The updates induce changes to energy fluxes and runoff amounting to about 15% of their respective temporal standard deviation.
引用
收藏
页码:669 / 691
页数:23
相关论文
共 75 条
[1]   From near-surface to root-zone soil moisture using an exponential filter: an assessment of the method based on in-situ observations and model simulations [J].
Albergel, C. ;
Ruediger, C. ;
Pellarin, T. ;
Calvet, J. -C. ;
Fritz, N. ;
Froissard, F. ;
Suquia, D. ;
Petitpa, A. ;
Piguet, B. ;
Martin, E. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2008, 12 (06) :1323-1337
[2]  
[Anonymous], 2011, SOTNARRL2PP0037
[3]   A global root-zone soil moisture analysis using simulated L-band brightness temperature in preparation for the hydros satellite mission [J].
Balsamo, G. ;
Mahfouf, J. -F. ;
Belair, S. ;
Deblonde, G. .
JOURNAL OF HYDROMETEOROLOGY, 2006, 7 (05) :1126-1146
[4]   U.S. Climate Reference Network Soil Moisture and Temperature Observations [J].
Bell, Jesse E. ;
Palecki, Michael A. ;
Baker, C. Bruce ;
Collins, William G. ;
Lawrimore, Jay H. ;
Leeper, Ronald D. ;
Hall, Mark E. ;
Kochendorfer, John ;
Meyers, Tilden P. ;
Wilson, Tim ;
Diamond, Howard J. .
JOURNAL OF HYDROMETEOROLOGY, 2013, 14 (03) :977-988
[5]   EASE-Grid 2.0: Incremental but Significant Improvements for Earth-Gridded Data Sets (vol 1, pg 32, 2012) [J].
Brodzik, Mary J. ;
Billingsley, Brendan ;
Haran, Terry ;
Raup, Bruce ;
Savoie, Matthew H. .
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2014, 3 (03) :1154-1156
[6]  
Burgers G, 1998, MON WEATHER REV, V126, P1719, DOI 10.1175/1520-0493(1998)126<1719:ASITEK>2.0.CO
[7]  
2
[8]   The Canadian Land Data Assimilation System (CaLDAS): Description and Synthetic Evaluation Study [J].
Carrera, Marco L. ;
Belair, Stephane ;
Bilodeau, Bernard .
JOURNAL OF HYDROMETEOROLOGY, 2015, 16 (03) :1293-1314
[9]   Temporal persistence and stability of surface soil moisture in a semi-arid watershed [J].
Cosh, Michael H. ;
Jackson, Thomas J. ;
Moran, Susan ;
Bindlish, Raiat .
REMOTE SENSING OF ENVIRONMENT, 2008, 112 (02) :304-313
[10]   The assimilation of remotely sensed soil brightness temperature imagery into a land surface model using Ensemble Kalman filtering: a case study based on ESTAR measurements during SGP97 [J].
Crow, WT ;
Wood, EF .
ADVANCES IN WATER RESOURCES, 2003, 26 (02) :137-149