Contribution of soil moisture retrievals to land data assimilation products

Geophysical Research Letters

Volumn 35, Issue 1, 2008, Pages

  Reichle, Rolf H ^a,b   Crow, W T ^c   Koster, R D ^b   Sharif, H O ^d   Mahanama, S P P ^a,b  

^a UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

^b NASA GODDARD SPACE FLIGHT CENTER   (United States)

^c AGRICULTURAL RESEARCH SERVICE   (United States)

^d The University of Texas at San Antonio   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; INFORMATION RETRIEVAL; LANDFORMS; METEOROLOGY; SATELLITES;

DATA ASSIMILATION; LAND SURFACE;

SOIL MOISTURE;

DATA ASSIMILATION; ERROR ANALYSIS; SATELLITE DATA; SATELLITE MISSION; SOIL MOISTURE; SPATIOTEMPORAL ANALYSIS; SYNTHETIC APERTURE RADAR; UNCERTAINTY ANALYSIS;

EID: 41549129989     PISSN: 00948276     EISSN: None     Source Type: Journal    
DOI: 10.1029/2007GL031986     Document Type: Article

References (17)

1. Bindlish, R., T. J. Jackson, E. F. Wood, H. Gao, P. Starks, D. Bosch, and V. Lakshmi (2003), Soil moisture estimates from TRMM microwave imager observations over the southern United States, Remote Sens. Environ., 85, 507-515.
2. Crow, W. T., A Drusch, and E. F. Wood (2001), An observation system simulation experiment for the impact of land surface heterogeneity on AMSR-E soil moisture retrievals, IEEE Trans. Geosci. Remote. Sens., 39, 1622-1632.
3. Crow, W. T., T. Chen, D. Entekhabi, P. Houser, A. Hsu, T. Jackson, E. Njoku, P. O'Neill, J. Shi, and X. Zhan (2005a), An observing system simulation experiment for Hydros radiometer-only soil moisture products, IEEE Trans. Geosci. Remote Sens., 43, 1289-1303.
4. Crow, W. T., R. D. Koster, R. H. Reichle, and H. O. Sharif (2005b), Relevance of time-varying and time-invariant retrieval error sources on the utility of spaceborne soil moisture products, Geophys. Res. Lett., 32, L24405, doi:10.1029/2005GL024889.
5. Dirmeyer, P. A., and L. Tan (2001), A multi-decadal global land-surface dataset of state variables and fluxes, COLA Tech. Rep. 102, 43 pp., Cent. for Ocean-Land-Atmos. Stud., Calverton, Md.
6. Drusch, M. (2007), Initializing numerical weather prediction models with satellite-defived surface soil moisture: Data assimilation experiments with ECMWF's Integrated Forecast System and the TMI soil moisture data set, J. Geophys. Res., 112, D03102, doi:10.1029/2006JD007478.
7. Entekhabi, D., et al. (2004), The Hydrosphere State (Hydros) mission concept: An Earth system pathfinder for global mapping of soil moisture and land freeze/thaw, IEEE Trans. Geosci. Remote Sens., 42, 2184-2195.
8. Koster, R. D., M. J. Suarez, A. Duchame, M. Stieglitz, and P. Kumar (2000), A catchment-based approach to modeling land surface processes in a general circulation model: 1. Model structure, J. Geophys. Res., 105, 24,809-24,822.
9. Njoku, E. G., T. L. Jackson, V. Lakshmi, T. Chan, and S. V. Nghiem (2003), Soil moisture retrieval from AMSR-E, IEEE Trans. Geosci. Remote Sens., 41, 215-229.
10. Peters-Lidard, C. D., M. S. Zion, and E. F. Wood (1997), A soil-vegetation-atmosphere transfer scheme for modeling spatially variable water and energy balance processes, J. Geophys. Res., 102, 4303-4324.
11. Reichle, R. H., and R. D. Koster (2004), Bias reduction in short records of satellite soil moisture, Geophys. Res. Lett., 31, L19501, doi:10.1029/2004GL020938.
12. Reichle, R. H., R. D. Koster, P. Liu, S. P. P. Mabanama, E. G. Njoku, and M. Owe (2007), Comparison and assimilation of global soil moisture retrievals from the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) and the Scanning Multichannel Microwave Radiometer (SMMR), J. Geophys. Res., 112, D09108, doi:10.1029/ 2006JD008033.
13. Reichle, R. H., W. T. Crow, and C. L. Keppenne (2008), An adaptive ensemble Kalman filter for soil moisture data assimilation, Water Resour. Res., doi:10.1029/2007WR006357, in press.
14. Rodell, M., P. R. Houser, U. Jambor, J. Gottschalck, K. Mitchell, C.-F. Meng, K. Arsenault, B. Cosgrove, J. Radakovich, M. Bosilovich, J. K. Entin, J. P. Walker, and D. L. Toll (2003), The Global Land Data Assimilation System, Bull. Am. Meteorol. Soc., 85, 381-394, doi:10.1175/BAMS-85-3-381.
15. Sharif, H. O., W. Crow, N. L. Miller, and E. F. Wood (2007), Multidecadal high-resolution hydrologic modeling of the Arkansas-Red River Basin, J. Hydrometeorol., 8, 1111-1127, doi:10.1175/ JHM622.1.
16. Sheffield, J., G. Goteti, and E. F. Wood (2006), Development of a 50-year high-resolution global dataset of meteorological forcings for land surface modeling, J. Clim., 19, 3088-3111.
17. Space Studies Board (2007), Earth Science and Applications From Space: National Imperatives for the Next Decade and Beyond, 400 pp., Natl. Acad. of Sci., Washington, D. C.