A methodology for initializing soil moisture in a global climate model: Assimilation of near-surface soil moisture observations

Journal of Geophysical Research Atmospheres

Volumn 106, Issue D11, 2001, Pages 11761-11774

  Walker, Jeffrey P ^a   Houser, Paul R ^a  

^a NASA GODDARD SPACE FLIGHT CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE MODELING; EVAPOTRANSPIRATION; KALMAN FILTER; REMOTE SENSING; SOIL MOISTURE;

EID: 0034923221     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2001JD900149     Document Type: Article

References (33)

1. Beljaars, A. C. M., P. Viterbo, M. J. Miller, and A. K. Betts, The anomalous rainfall over the United States during July 1993: Sensitivity to land surface parameterization and soil anomalies, Mon. Weather Rev., 124, 362-383, 1996.
2. Beven, K. J., and M. J. Kirkby, A physically based, variable contributing area model of basin hydrology, Hydrol. Sci. Bull., 24(1), 43-69, 1979.
3. Bras, R. L., and I. Rodriguez-Iturbe, Random Functions and Hydrology, 559 pp., Addison-Wesley-Longman, Reading, Mass., 1985.
4. Bruckler, L., and H. Witono, Use of remotely sensed soil moisture content as boundary conditions in soil-atmosphere water transport modeling, 2, Estimating soil water balance, Water Resour. Res., 25(12), 2437-2447, 1989.
5. Capehart, W. J., and T. N. Carlson, Decoupling of surface and near-surface soil water content: A remote sensing perspective, Water Resour. Res., 33(6), 1383-1395, 1997.
6. Clapp, R. B., and G. M. Hornberger, Empirical equations for some soil hydraulic properties, Water Resour. Res., 14(4), 601-604, 1978.
7. Dee, D. P., Simplification of the Kalman filter for meteorological data assimilation, Q. J. R. Meteorol. Soc., 117, 365-384, 1991.
8. Dee, D. P., On-line estimation of error covariance parameters for atmospheric data assimilation, Mon. Weather Rev., 123, 1128-1145, 1995.
9. Delworth, T. L., and S. Manabe, The influence of potential evaporation on the variabilities of simulated soil wetness and climate, J. Clim., 1, 523-547, 1988.
10. Delworth, T., and S. Manabe, The influence of soil wetness on near-surface atmospheric variability, J. Clim., 2, 1447-1462, 1989.
11. Ducharne, A., R. D. Koster, M. J. Suarez, M. Stieglitz, and P. Kumar, A catchment-based approach to modeling land surface processes in a GCM, 2, Parameter estimation and model demonstration, J. Geophys. Res., 105, 24,823-24,838, 2000.
12. Fast, J. D., and M. D. McCorcle, The effect of heterogenous soil moisture on a summer baroclinic circulation in the central United States, Mon. Weather Rev., 119, 2140-2167, 1991.
13. Georgakakos, K. P., and O. W. Baumer, Measurement and utilization of on-site soil moisture data, J. Hydrol., 184, 131-152, 1996.
14. Georgakakos, K. P., and G. F. Smith, On improved hydrologic forecasting - Results from a WMO real-time forecasting experiment, J. Hydrol., 114, 17-45, 1990.
15. Giacomelli, A., U. Bacchiega, P. A Troch, and M. Mancini, Evaluation of surface soil moisture distribution by means of SAR remote sensing techniques and conceptual hydrological modelling, J. Hydrol., 166, 445-459, 1995.
16. Houser, P. R., W. J. Shuttleworth, J. S. Famiglietti, H. V. Gupta, K. H. Syed, and D. C. Goodrich, Integration of soil moisture remote sensing and hydrologic modeling using data assimilation, Water Resour. Res., 34(12), 3405-3420, 1998.
17. Jackson, R. D., S. B. Idso, and R. J. Reginato, Calculation of evaporation rates during the transition from energy-limiting to soil-limiting phases using albedo data, Water Resour. Res., 12(1), 23-26, 1976.
18. Jackson, T. J., T. J. Schmugge, A. D. Nicks, G. A. Coleman, and E. T. Engman, Soil moisture updating and microwave remote sensing for hydrological simulation, Hydrol. Sci. Bull., 26(3), 305-319, 1981.
19. Kalman, R. E., A new approach to linear filtering and prediction problems, Trans. ASME, Ser. D, J. Basic Eng., 82, 35-45, 1960.
20. Koster, R. D., and M. J. Suarez, Relative contributions of land and ocean processes to precipitation variability, J. Geophys. Res., 100, 13,775-13,790, 1995.
21. Koster, R. D., M. J. Suarez, A. Ducharne, M. Stieglitz, and P. Kumar, A catchment-based approach to modeling land surface processes in a GCM, 1, Model structure, J. Geophys. Res., 105, 24,809-24,822, 2000.
22. Lakshmi, V., and J. Susskind, Land surface hydrological processes using satellite data, in International Geoscience and Remote Sensing Symposium, edited by T. I. Stein, pp. 1102-1104, Singapore, 1997.
23. Lin, D. S., E. F. Wood, P. A. Troch, M. Mancini, and T. J. Jackson, Comparisons of remotely sensed and model-simulated soil moisture over a heterogeneous watershed, Remote Sens. Environ., 48, 159-171, 1994.
24. Ljung, L., Asymptotic behaviour of the extended Kalman filter as a parameter estimator for linear systems, IEEE Trans. Autom. Control, AC-24(1), 36-50, 1979.
25. Ottlé, C., and D. Vidal-Madjar, Assimilation of soil moisture inferred from infrared remote sensing in a hydrological model over the HAPEX-MOBILHY region, J. Hydrol., 158, 241-264, 1994.
26. Prevot, L., R. Bernard, O. Taconet, D. Vidal-Madjar, and J. L. Thony, Evaporation from a bare soil evaluated using a soil water transfer model and remotely sensed surface soil moisture data, Water Resour. Res., 20(2), 311-316, 1984.
27. Raju, S., A. Chanzy, J. Wigneron, J. Calvet, Y. Kerr, and L. Laguerre, Soil moisture and temperature profile effects on microwave emission at low frequencies, Remote Sens. Environ., 54, 85-97, 1995.
28. Saha, S. K., Assessment of regional soil moisture conditions by coupling satellite sensor data with a soil-plant system heat and moisture balance model, Int. J. Remote Sens., 16(5), 973-980, 1995.
29. Sellers, P., et al., The ISLSCP Initiative I global data sets: Surface boundary conditions and atmospheric forcings for land-atmosphere studies, Bull. Am. Meteorol. Soc., 77, 1987-2005, 1996.
30. Shukla, J., and Y. Mintz, Influence of land-surface evapotranspiration on the earth's climate, Science, 215, 1498-1501, 1982.
31. Todling, R., and S. E. Cohn, Suboptimal schemes for atmospheric data assimilation based on the Kalman filter, Mon. Weather Rev., 122, 2530-2557, 1994.
32. Verdin, K. L., and J. P. Verdin, A topological system for delineation and codification of the Earth's river basins, J. Hydrol., 218, 1-12, 1999.
33. Walker, J. P., G. R. Willgoose, and J. D. Kalma, One-dimensional soil moisture profile retrieval by assimilation of near-surface observations: A comparison of retrieval algorithms, Adv. Water Resour., 24(6), 631-650, 2001.