Assessment of soil moisture fields from imperfect climate models with uncertain satellite observations

Hydrology and Earth System Sciences

Volumn 13, Issue 9, 2009, Pages 1545-1553

  Schumann, G ^a   Lunt, D J ^a,b   Valdes, P J ^a   De Jeu, R A M ^c   Scipal, K ^d   Bates, P D ^a  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

^b BRITISH ANTARCTIC SURVEY   (United Kingdom)

^c VU UNIVERSITY AMSTERDAM   (Netherlands)

^d VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE MODELING; GENERAL CIRCULATION MODEL; HYDROLOGICAL REGIME; PREDICTION; REMOTE SENSING; SATELLITE IMAGERY; SOIL MOISTURE; VEGETATION COVER;

EID: 77951843447     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-13-1545-2009     Document Type: Article

References (25)

1. Bastiaanssen, W. G. M., Noordman, E. J. M., Pelgrum, H., Davids, G., Thoreson, B. P., and Allen, R. G.: SEBAL model with remotely sensed data to improve water-resources management under actual field conditions, J. Irrig. Drain. E.-ASCE, 131, 85-93, 2005. (Pubitemid 40191073)
2. Beven, K.: A manifesto for the equifinality thesis, J. Hydrol., 320, 18-36, 2006. (Pubitemid 43297835)
3. Cleugh, H. A., Leuning, R., Mu, Q., and Running, S. W.: Regional evaporation estimates from flux tower and MODIS satellite data, Remote Sens. Environ., 106, 285-304, 2007. (Pubitemid 46127789)
4. Cornwell, A. R. and Harvey, L. D. D.: Soil moisture: a residual problem underlying AGCMs, Climatic Change, 84, 313-336, 2007.
5. Cox, P. M., Betts, R. A., Bunton, C. B., Essery, R. L. H., Rowntree, P. R., and Smith, J.: The impact of new land surface physics on the GCM simulation of climate and climate sensitivity, Clim. Dynam., 15, 183-203, 1999.
6. Crawford, T. M., Stensrud, D. J., Mora, F., Merchant, J. W., and Wetzel, P. J.: Value of incorporating satellite-derived land cover data in MM5/PLACE for simulating surface temperatures, J. Hydrometeorol., 2, 453-468, 2001.
7. de Jeu, R. A. M., Wagner, W., Holmes, T. R. H., Dolman, A. J., van de Giesen, N. C., and Friesen, J.: Global soil moisture patterns observed by space borne microwave radiometers and scatterometers, Surv. Geophys., 29, 399-420, 2008.
8. Drusch, M.: Initializing numerical weather prediction models with satellite-derived 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, 2007. (Pubitemid 47248863)
9. Entekhabi, D., Rodriguez-lturbe, I., and Castelli, F.: Mutual interaction of soil moisture state and atmospheric processes, J. Hydrol., 184, 3-17, 1996.
10. Fischer, E. M., Seneviratne, S. I., Vidale, P. L., Luethi, D., and Schaer, C.: Soil moisture - atmosphere interactions during the 2003 European summer heat wave, J. Climate, 20, 5081-5099, 2007. (Pubitemid 350028377)
11. Gedney, N., Cox, P. M., Douville, H., Polcher, J., and Valdes, P. J.: Characterizing GCM land surface schemes to understand their responses to climate change, J. Climate, 13, 3066-3079, 2000.
12. Guibas, L. and Stolfi, J.: Primitives for the manipulation of general subdivisions and the computation of Voronoi diagrams, ACM T. Graphic., 4, 74-123, 1985.
13. Hong, Y., Hsu, K. L., Sorooshian, S., and Gao, X.: Precipitation estimation from remotely sensed imagery using an artificial neural network cloud classification system, J. Appl. Meteorol., 43, 1834-1852, 2004.
14. Jones, R. G., Murphy, J. M., and Noguer, M.: Simulation of climate change over Europe using a nested regional-climate model. I: Assessment of control climate, including sensitivity to location of lateral boundaries, Q. J. Roy. Meteor. Soc., 121, 1413-1449, 1995.
15. Jost, A., Lunt, D., Kageyama, M., Abe-Ouchi, A., Peyron, O., Valdes, P. J., and Ramstein, G.: High-resolution simulations of the last glacial maximum climate over Europe: a solution to discrepancies with continental palaeoclimatic reconstructions?, Clim. Dynam., 24, 577-590, 2005.
16. Loew, A., Ludwig, R., and Mauser, W.: Derivation of surface soil moisture from ENVISAT ASAR Wide Swath and Image Mode data in agricultural areas, IEEE T. Geosci. Remote, 44, 889-899, 2006.
17. Lu, L. and Shuttleworth, W. J.: Incorporating NDVI-derived LAI into the climate version of RAMS and its impact on regional climate, J. Hydrometeorol., 3, 347-362, 2002.
18. Owe, M., de Jeu, R., and Walker, J.: A methodology for surface soil moisture and vegetation optical depth retrieval using the microwave polarization difference index, IEEE T. Geosci. Remote, 39, 1643-1654, 2001. (Pubitemid 32933003)
19. Owe, M., de Jeu, R. A. M., and Holmes, T. R. H.: Multi-sensor historical climatology ofsatellite-derived global land surface moisture, J. Geophys. Res., 113, F01002, doi:1029/2007JF000769, 2008.
20. Pappenberger, F., Frodsham, K., Beven, K., Romanowicz, R., and Matgen, P.: Fuzzy set approach to calibrating distributed flood inundation models using remote sensing observations, Hydrol. Earth Syst. Sci., 11, 739-752, 2007, http://www.hydrol-earth-syst-sci.net/11/739/2007/.
21. Pitman, A. J.: Review: The evolution of, and revolution in, land surface schemes designed for climate models, Int. J. Climatol., 23, 479-510, 2003.
22. Pope, V. D., Gallani, M. L., Rowntree, P. R., and Stratton, R. A.: The impact of new physical parameterizations in the Hadley Centre climate model: HadAM3, Clim. Dynam., 16, 123-146, 2000.
23. Stratton, R. A.: A high resolution AMIP integration using the Hadley Centre model HadAM2b, Clim. Dynam., 15, 9-28, 1999.
24. Wagner, W., Lemoine, G., and Rott, H.: A method for estimating soil moisture from ERS scatterometer and soil data, Remote Sens. Environ., 70, 191-207, 1999.
25. Walker, J. P. and Houser, P. R.: A methodology for initializing soil moisture in a global climate model: Assimilation of near- surface soil moisture observations, J. Geophys. Res., 106, 761-774, 2001.