Assessing the performance of the ensemble Kalman filter for land surface data assimilation

Monthly Weather Review

Volumn 134, Issue 8, 2006, Pages 2128-2142

  Zhou, Yuhua ^a   McLaughlin, Dennis ^a,b   Entekhabi, Dara ^a  

^a Massachusetts Institute of Technology Cambridge   (United States)

^b NONE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; MOISTURE DETERMINATION; PERFORMANCE; SOILS;

LAND SURFACE DATA ASSIMILATION; SEQUENTIAL IMPORTANCE RESAMPLING (SIR);

KALMAN FILTERING;

DATA ASSIMILATION; ENSEMBLE FORECASTING; KALMAN FILTER; LAND SURFACE; PERFORMANCE ASSESSMENT; SOIL MOISTURE;

EID: 33747775838     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/MWR3153.1     Document Type: Article

References (21)

1. Arulampalam, M. S., S. Maskell, N. Gordon, and T. Clapp, 2002: A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Trans. Signal Process., 50, 174-188.
2. Bonan, G. B., 1996: A land surface model (LSM version 1.0) for ecological, hydrological, and atmospheric studies: Technical description and user's guide. NCAR Tech. Note NCAR/TN-4171STR, 150 pp. [Available online at http://www.cgd.ucar.edu/tss/lsm/availability/technote.tar.Z.]
3. Bonan, G. B., K. W. Oleson, M. Vertenstein, S. Levis, X. B. Zeng, Y. J. Dai, R. E. Dickinson, and Z. L. Yang, 2002: The land surface climatology of the community land model coupled to the NCAR community climate model. J. Climate, 15, 3123-3149.
4. Choudhury, B. J., T. J. Schmugge, A. Chang, and R. W. Newton, 1979: Effect of surface-roughness on the microwave emission from soils. J. Geophys. Res., 84, 5699-5706.
5. Crow, W. T., and E. F. Wood, 2003: 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. Adv. Water Resour., 26, 137-149.
6. Entekhabi, D., and Coauthors, 2004: The Hydrosphere State (Hydros) Satellite Mission: An Earth System Pathfinder for global mapping of soil moisture and land freeze/thaw. IEEE Trans. Geosci. Remote Sens., 42, 2184-2195.
7. Evensen, G., 1994: Sequential data assimilation with a nonlinear QG model using Monte Carlo methods to forecast error statistics. J. Geophys. Res., 99, 10 143-10 162.
8. Evensen, G., 2003: The ensemble Kalman filter: Theoretical formulation and practical implementation. Ocean Dyn., 53, 343-367.
9. Gorenburg, I. P., D. McLaughlin, and D. Entekhabi, 2001: Scale-recursive estimation of precipitation at the TOGA COARE site. Adv. Water Resour., 24, 941-953.
10. Gupta, V. K., and E. C. Waymire, 1993: A statistical analysis of mesoscale rainfall as a random cascade. J. Appl. Meteor., 32, 251-267.
11. Hawk, K. L., and P. Eagleson, 1992: Climatology of station storm rainfall in the continental U.S.: Parameters of the Bartlett-Lewis and Poisson Rectangular Pulses models. Tech. Rep. 336, Department of Civil Engineering, Massachusetts Institute of Technology, 35 pp.
12. Jackson, T. J., and T. J. Schmugge, 1991: Vegetation effects on the microwave emission of soils. Remote Sens. Environ., 36, 203-212.
13. Jackson, T. J., D. M. Le Vine, A. Y. Hsu, A. Oldak, P. J. Starks, C. T. Swift, J. D. Isham, and M. Haken, 1999: Soil moisture mapping at regional scales using microwave radiometry: The Southern Great Plains Hydrology Experiment. IEEE Trans. Geosci. Remote Sens., 37, 2136-2151.
14. Jazwinsky, A. H., 1970: Stochastic Processes and Filtering Theory. Academic Press, 376 pp.
15. Margulis, S. A., and D. Entekhabi, 2001: Temporal disaggregation of satellite-derived monthly precipitation estimates and the resulting propagation of error in partitioning of water at the land surface. Hydrol. Earth Syst. Sci., 5, 27-38.
16. Margulis, S. A., D. McLaughlin, D. Entekhabi, and S. Dunne, 2002: Land data assimilation and estimation of soil moisture using measurements from the Southern Great Plains 1997 Field Experiment. Water Resour. Res., 38, 1299, doi:10.1029/2001WR001114.
17. Njoku, E. G., W. J. Wilson, S. H. Yueh, S. J. Dinardo, F. K. Li, T. J. Jackson, V. Lakshmi, and J. Bolten, 2002: Observations of soil moisture using a passive and active low-frequency microwave airborne sensor during SGP99. IEEE Trans. Geosci. Remote Sens., 40, 2659-2673.
18. Reichle, R. H., and R. D. Koster, 2003: Assessing the impact of horizontal error correlations in background fields on soil moisture estimation. J. Hydrometeor., 4, 1229-1242.
19. Reichle, R. H., D. B. McLaughlin, and D. Entekhabi, 2002: Hydrologic data assimilation with the ensemble Kalman filter. Mon. Wea. Rev., 130, 103-114.
20. Rodriguez-Iturbe, I., D. Entekhabi, and R. L. Bras, 1991: Nonlinear dynamics of soil moisture at climate scales. 1: Stochastic analysis. Water Resour. Res., 27, 1899-1906.
21. Tippett, M. K., J. L. Anderson, C. H. Bishop, T. M. Hamill, and J. S. Whitaker, 2003: Ensemble square root filters. Mon. Wea. Rev., 131, 1485-1490.