Evaluation of the ERS scatterometer-derived soil water index to monitor water availability and precipitation distribution at three different scales in China

Journal of Hydrometeorology

Volumn 9, Issue 3, 2008, Pages 549-562

  Zhao, Deming ^a   Kuenzer, Claudia ^b   Fu, Congbin ^a   Wagner, Wolfgang ^b  

^a INSTITUTE OF ATMOSPHERIC PHYSICS   (China)

^b VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

PRECIPITATION (CLIMATOLOGY); REMOTE SENSING; SCATTEROMETER; SOIL MOISTURE; SOIL WATER; WATER AVAILABILITY; WATER STRESS;

ASIA; CHINA; EURASIA; FAR EAST;

EID: 58049091772     PISSN: 1525755X     EISSN: None     Source Type: Journal    
DOI: 10.1175/2007JHM965.1     Document Type: Article

References (45)

1. Aubert, D., C. Loumagne, and L. Oudin, 2003: Sequential assimilation of soil moisture and streamflow data in a conceptual rainfall runoff model. J. Hydrol., 280, 145-161.
2. Bartalis, Z., K. Scipal, and W. Wagner, 2005: Soil moisture products from C-band scatterometers: From ERS-1/2 to METOP. Proc. ENVISAT and ERS Symp., Salzburg, Austria, European Space Agency, ESA SP-572, 1417-1423. [Available online at http://earth.esa.int/salzburg04/.]
3. Basist, A., N. C. Grody, T. C. Peterson, and C. N. Williams, 1998: Using the Special Sensor Microwave Imager to monitor land surface temperature, wetness, and snowcover. J. Appl. Meteor., 37, 888-911.
4. Betts, A. K., and J. H. Ball, 1998: FIFE surface climate and site-average dataset 1987-89. J. Atmos. Sci., 55, 1091-1108.
5. Ceballos, A., J. Martinéz-Fernández, F. Santos, and P. Alonso, 2002: Soil water behavior of sandy soils under semi-arid conditions in the Duero Basin (Spain). J. Arid Environ., 51, 501-519.
6. Ceballos, A., K. Scipal, W. Wagner, and J. Martínez-Fernández, 2005: Validation of ERS scatterometer-derived soil moisture data in the central part of the Duero Basin, Spain. Hydrol. Processes, 19, 1549-1566.
7. Dirmeyer, P. A., 2003: The role of the land surface background state in climate predictability. J. Hydrometeor., 4, 599-610.
8. Dirmeyer, P. A., and K. L. Brubaker, 1999: Contrasting evaporative moisture sources during the drought of 1988 and the flood of 1993. J. Geophys. Res., 104 (D16), 19 383-19 398.
9. Dirmeyer, P. A., Z. C. Guo, and X. Gao, 2004: Comparison, validation, and transferability of eight multiyear global soil wetness products. J. Hydrometeor., 5, 1011-1033.
10. Drusch, M., E. F. Wood, H. Gao, and A. Thiele, 2004: Soil moisture retrieval during the Southern Great Plains Hydrologic Experiment 1999: A comparison between experimental remote sensing data and operational products. Water Resour. Res., 40, W02504, doi:10.1029/ 2003WR002441.
11. Engman, E. T., and N. Chauhan, 1995: Status of microwave soil moisture measurements with remote sensing. Remote Sens. Environ., 51, 189-198.
12. Entin, J. K., A. Robock, K. Y. Vinnikov, S. E. Hollonger, S. Liu, and A. Namkhai, 2000: Temporal and spatial scales of observed soil moisture variations in the extratropics. J. Geophys. Res., 105 (D9), 11 865-11 877.
13. Fennessy, M. J., and J. Shukla, 1999: Impact of initial soil wetness on seasonal atmospheric prediction. J. Climate, 12, 3167-3180.
14. Frison, P. L., and E. Mougin, 1996: Monitoring global vegetation dynamics with ERS-1 wind scatterometer data. Int. J. Remote Sens., 17, 3201-3218.
15. Fuchs, T., U. Schneider, and B. Rudolph, 2007: Global precipitation analysis products of the GPCC. Global Precipitation Climatology Centre (GPCC), DWD. 1-10. [Available online at http://dwd.de.]
16. Hollinger, S. E., and S. A. Isard, 1994: A soil moisture climatology of Illinois. J. Climate, 7, 822-833.
17. Kim, G., and A. P. Barros, 2002a: Space-time characterization of soil moisture from passive microwave remotely sensed imagery and ancillary data. Remote Sens. Environ., 81, 393-403.
18. Kim, G., and A. P. Barros, 2002b: Downscaling of remotely sensed soil moisture with a modified fractal interpolation method using contraction mapping and ancillary data. Remote Sens. Environ., 83, 400-413.
19. Koster, R. D., and M. J. Suarez, 2001: Soil moisture memory in climate models. J. Hydrometeor., 2, 558-570.
20. Koster, R. D., and M. J. Suarez, 2004: Suggestions in the observational record of land-atmosphere feedback operating at seasonal time scales. J. Hydrometeor., 5, 567-572.
21. Koster, R. D., M. J. Suarez, and M. Heiser, 2000: Variance and predictability of precipitation at seasonal-to-interannual timescales. J. Hydrometeor., 1, 26-46.
22. Koster, R. D., M. J. Suarez, R. W. Higgins, and H. M. Van den Dool, 2003: Observational evidence that soil moisture variations affect precipitation. Geophys. Res. Lett., 30, 1241, doi:10.1029/ 2002GL016571.
23. Koster, R. D., and Coauthors, 2004: Regions of strong coupling between soil moisture and precipitation. Science, 305, 1138-1140.
24. Kustas, W. P., J. L. Hatfiled, and J. H. Prueger, 2005: The soil moisture-atmosphere coupling experiment (SMACEX): Background, hydrometeorological conditions, and preliminary findings. J. Hydrometeor., 6, 791-804.
25. Liu, Y., and R. Avissar, 1999: A study of persistence in the land-atmosphere system using a general circulation model and observations. J. Climate, 12, 2139-2153.
26. Magagi, R. D., and Y. H. Kerr, 1997: Retrieval of soil moisture and vegetation characteristics by use of ERS-1 wind scatterometer over arid and semi-arid areas. J. Hydrol., 188/189, 361-384.
27. Mitchell, K. E., and Coauthors, 2004: The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system. J. Geophys. Res., 109, D07S90, doi:10.1029/ 2003JD003823.
28. Pellarin, T., J.-P. Wigneron, J.-C. Calvet, and P. Waldteufel, 2003: Global soil moisture retrieval from a synthetic L-band brightness temperature data set. J. Geophys. Res., 108, 4364, doi:10.1029/2002JD003086.
29. Robock, A., K. Y. Vinnikov, G. Srinivasan, J. K. Entin, S. E. Hollinger, N. A. Speranskaya, S. Liu, and A. Namkhai, 2000: The Global Soil Moisture Data Bank. Bull. Amer. Meteor. Soc., 81, 1281-1299.
30. Salvucci, G. D., J. A. Saleem, and R. Kaufmann, 2002: Investigating soil moisture feedbacks on precipitation with tests of Granger causality. Adv. Water Resour., 25, 1305-1312.
31. Scipal, K., 2002: Global observation of soil moisture with the ERS Scatterometer. Ph.D thesis. Institute of Photogrammetry and Remote Sensing, Vienna University of Technology, 128 pp.
32. Scipal, K., C. Scheffler, and W. Wagner, 2005: Soil moisture-runoff relation at the catchment scale as observed with coarse resolution microwave remote sensing. Hydrol. Earth Syst. Sci., 9, 173-183.
33. Vachaud, G., A. Passerat de Silans, P. Balabanis, and M. Vauclin, 1985: Temporal stability of spatially measured soil water probability density functions. Soil Sci. Soc., 45, 1040-1048.
34. Vinnikov, K. Y., A. Robock, S. Qiu, J. K. Entin, M. Owe, B. J. Choudhsury, S. E. Hollinger, and E. G. Njoku, 1999: Satellite remote sensing of soil moisture in Illinois, United States. J. Geophys. Res., 105, 4145-4168.
35. Wagner, W., 1998: Soil moisture retrieval from ERS scatterometer data. Ph.D. thesis, Vienna University of Technology, 101 pp.
36. Wagner, W., G. Lemoine, M. Borgeaud, and H. Rott, 1999a: A study of vegetation cover effects on ERS scatterometer data. IEEE Trans. Geosci. Remote Sens., 37, 938-948.
37. Wagner, W., G. Lemoine, and H. Rott, 1999b: A method for estimating soil moisture from ERS scatterometer and soil data. Remote Sens. Environ., 70, 191-207.
38. Wagner, W., K. Scipal, C. Pathe, D. Gerten, W. Lucht, and B. Rudolf, 2003: Evaluation of the agreement between the first global remotely sensed soil moisture data with model and precipitation data. J. Geophys. Res., 108, 4611, doi:10.1029/2003JD003663.
39. Wagner, W., G. Blöschl, P. Pampaloni, J-C. Calvet, B. Bizzarri, J.-P. Wigneron, and Y. Kerr, 2007a: Operational readiness of microwave remote sensing of soil moisture for hydrologic applications. Nordic Hydrol., 38, 1-20.
40. Wagner, W., V. Naeimi, K. Scipal, R. Dejeu, and J. Martinez-Fernandez, 2007b: Soil moisture from operational meteorological satellites. Hydrogeol. J., 15, 121-131, doi:10.1007/s10040-006-0104-6.
41. Weaver, C. P., and R. Avissar, 2001: Atmospheric disturbances caused by human modification of the landscape. Bull. Amer. Meteor. Soc., 82, 269-281.
42. Western, A., R. Grayson, and G. Blöschl, 2002: Scaling of soil moisture: A hydrologic perspective. Annu. Rev. Earth Planet. Sci., 30, 149-180.
43. Wu, W., M. A. Geller, and R. E. Dickinson, 2001: The response of soil moisture to long-term variability of precipitation. J. Hydrometeor., 3, 604-613.
44. Zhao, D. M., B. K. Su, and M. Zhao, 2006: Soil moisture retrieved from satellite images and its application to heavy rainfall simulation in eastern China. Adv. Atmos. Sci., 26, 299-316.
45. Zhu, Q. G., J. R. Lin, Z. W. Shou, and D. S. Tang, 2000: The Principle and Method of Synoptic Meteorology (in Chinese). China Meteorological Press, 649 pp.