Evaluation of the agreement between the first global remotely sensed soil moisture data with model and precipitation data

Journal of Geophysical Research: Atmospheres

Volumn 108, Issue 19, 2003, Pages

  Wagner, Wolfgang ^a   Scipal, Klaus ^a   Pathe, Carsten ^a   Gerten, Dieter ^b   Lucht, Wolfgang ^b   Rudolf, Bruno ^c  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

^b POTSDAM INSTITUTE FOR CLIMATE IMPACT RESEARCH   (Germany)

^c DEUTSCHER WETTERDIENST   (Germany)

Author keywords

Global; Remote sensing; Soil moisture

Indexed keywords

ALGORITHM; ERS-1; ERS-2; IMAGE ANALYSIS; LAND COVER; REMOTE SENSING; SOIL MOISTURE; SURFACE ROUGHNESS;

EID: 0347024381     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2003jd003663     Document Type: Article

References (68)

1. Attema, E. P. W., and F. T. Ulaby, Vegetation modeled as water cloud, Radio Sci., 13(2), 357-364, 1978.
2. Cramer, W., D. W. Kicklighter, A. Bondeau, B. Moore III, G. Churkina, B. Nemry, A. Ruimy, A. Schloss, and the Participants of the Potsdam NPP Model Intercomparison, Comparing global models of terrestrial net primary productivity (NPP): Overview and key results, Global Change Biol., 5, suppl. 1, 1-15, 1999.
3. 2 and climate change: Results from six dynamic global vegetation models, Global Change Biol., 7, 357-373, 2001.
4. Davidson, M. W. J., T. Le Toan, F. Mattia, G. Satalino, T. Manninen, and M. Borgeaud, On the characterization of agricultural soil roughness for radar remote sensing studies, IEEE Trans. Geosci. Remote Sens., 38(2), 630-640, 2000.
5. de Jeu, R. A. M., Retrieval of land surface parameters using passive microwave remote sensing, Ph.D. dissertation, Vrije Univ., Amsterdam, Netherlands, 2003.
6. De Ridder, K., Quantitative estimate of skin soil moisture with the special sensor microwave/imager, Boundary Layer Meteorol., 96, 421-432, 2000.
7. Dirnmeyer, A. P., Problems in initializing soil wetness. Bull. Am. Meteorol. Soc., 76(11), 2234-2240, 1995.
8. Dobson, M. C., and F. T. Ulaby, Mapping soil moisture distributions with imaging radar, in Principles and Applications of Imaging Radar, Manual of Remote Sensing, vol. 2, edited by F. M. Henderson and A. J. Lewis, pp. 435-509, John Wiley, Hoboken, N. J., 1998.
9. Döll, P., F. Kaspar, and B. Lehner, A global hydrological model for deriving water availability indicators: Model tuning and validation, J. Hydrol., 270, 105-134, 2003.
10. Engman, E. T., Soil moisture, in Remote Sensing in Hydrology and Water Management, edited by G. A. Schulz and E. T. Engman, pp. 197-216, Springer-Verlag, New York, 2000.
11. Engman, E. T., and N. Chauhan, Status of microwave soil moisture measurements with remote sensing, Remote Sens. Environ., 51, 189-198, 1995.
12. Entin, J. K., A. Robock, K. Y. Vinnikov, V. Zabelin, S. Liu, A. Namkhai, and T. Adyasuren, Evaluation of global soil wetness project soil moisture simulations, J. Meteorol. Soc. Jpn., 77(1B), 183-198, 1999.
13. Entin, J. K., A. Robock, K. Y. Vinnikov, S. E. Hollinger, S. Liu, and A. Namkhai, Temporal and spatial scales of observed soil moisture variations in the extratropics, J. Geophys. Res., 105(D9), 11,865-11,877, 2000.
14. Food and Agriculture Organization (FAO), The Digitized Soil Map of the World (Release 1.0), Rome, 1991.
15. Grayson, R. B., G. Blöschl, A. W. Western, and T. A. McMahon, Advances in the use of observed spatial patterns of catchment hydrological response, Adv. Water Resour., 25, 1313-1334, 2002.
16. Grippa, M., and I. H. Woodhouse, Retrieval of bare soil and vegetation parameters from wind scatterometer measurements over three different climatic regions, Remote Sens. Environ., 84, 16-24, 2002a.
17. Grippa, M., and I. H. Woodhouse, Validation of surface scattering models across large footprints for global scatterometer applications, IEEE Trans. Geosci. Remote Sens., 40(10), 2229-2233, 2002b.
18. Hallikainen, M., F. T. Ulaby, M. C. Dobson, and M. El-Rayes, Dielectric measurements of soils in the 3- to 37-GHz band between -50°C and 23°C, paper presented at Geoscience and Remote Sensing Symposium 1984 (IGARSS 1984), IEEE Geosci. and Remote Sens. Soc., Strasbourg, France, 1984.
19. Henderson-Sellers, A., Soil moisture: A critical focus for global change studies, Global Planet. Change, 13, 3-9, 1996.
20. Jackson, T. J., and A. Y. Hsu, Soil moisture and TRMM microwave imager relationships in the Southern Great Plains 1999 (SPG99) experiment, IEEE Trans. Geosci. Remote Sens., 39(8), 1632-1642, 2001.
21. Jackson, T. J., and T. J. Schmugge, Surface soil moisture measurement with microwave radiometry, Acta Astronaut., 35(7), 477-482, 1995.
22. Jarlan, L., E. Mougin, P. L. Frison, P. Mazzega, and P. Hiernaux, Analysis of ERS wind scatterometer time series over Sahel (Mali), Remote Sens. Environ., 81, 404-415, 2002.
23. Kerr, Y. H., P. Waldteufel, J.-P. Wigneron, J.-M. Martuzzi, J. Font, and M. Berger, Soil moisture retrieval from space: The soil moisture and ocean salinity (SMOS) mission, IEEE Trans. Geosci. Remote Sens., 39(8), 1729-1735, 2001.
24. Koike, T., E. Njoku, T. J. Jackson, and S. Paloscia, Soil moisture algorithm development and validation for the ADEOS-II/AMSR, in Proccedings of Geoscience and Remote Sensing Symposium 2000 (IGARSS 2000), vol. 3, pp. 1253-1255, IEEE Geosci and Remote Sens. Soc., New York, 2000.
25. Köppen, W., Die Klimate der Erde, Walter de Gruyter, Hawthorne, N. Y., 1923.
26. Lecomte, P., and W. Wagner, ERS wind scatterometer commissioning and in-flight calibration, in Proceedings of Workshop on Emerging Scatterometer Applications: From Research to Operations, ESA-SP-424, pp. 261-270, Eur. Space Res. and Technol. Cent., Noordwijk, Netherlands, 1998.
27. Leemans, R., and W. Cramer, The IIASA database for mean monthly values of temperature, precipitation and cloudiness on a global terrestrial grid, Res. Rep. 91-18, Int. Inst. of Appl. Syst. Anal., Laxenburg, Austria, 1991.
28. Le Hégarat-Mascle, S., M. Zribi, F. Alem, A. Weisse, and C. Loumagne, Soil moisture estimation from ERS/SAR data: Toward an operational methodology, IEEE Trans. Geosci. Remote Sens., 40(12), 2647-2658, 2002.
29. Le Toan, T., G. Picard, J.-M. Martinez, P. Melon, and M. Davidson, On the relationships between radar measurements and forest structure and biomass, in Proceedings of the 3rd International Symposium on Retrieval of Bio- and Geophysical Parameters from SAR Data for Land Applications, ESA SP-475, pp. 3-12, Eur. Space Agency, Paris, 2001.
30. Lucht, W., I. C. Prentice, R. B. Myneni, S. Sitch, P. Friedlingstein, W. Cramer, P. Bousquet, W. Buermann, and B. Smith, Climatic control of the high-latitude vegetation greening trend and Pinatubo effect, Science, 296, 1687-1689, 2002.
31. Magagi, R. D., and Y. H. Kerr, Estimating surface soil moisture and soil roughness over semiarid areas from the use of the copolarization ratio, Remote Sens. Environ., 75, 432-445, 2001.
32. Mégie, G., and C. J. Readings, The Earth Explorer missions-Current status, Earth Obs. Q., 66, 1-5, 2000.
33. Moeremans, B., and S. Dautrbande, Soil moisture evaluation by means of multi-temporal ERS SAR PRI images and interferometric coherence, J. Hydrol., 234, 162-169, 2000.
34. Moran, M. S., D. C. Hymer, J. Qi, and E. E. Sano, Soil moisture evaluation using multi-temporal synthetic aperture radar (SAR) in semiarid rangeland, Agric. For. Meteorol., 105, 69-80, 2000.
35. Moran, S. M., D. C. Hymer, J. Qi, and Y. Kerr, Comparison of ERS-2 SAR and Landsat TM imagery for monitoring agricultural crop and soil conditions, Remote Sens. Environ., 79, 243-252, 2002.
36. New, M., M. Hulme, and P. Jones, Representing twentieth-century space-time climate variability: II. Development of 1901-1996 monthly grids of terrestrial surface climate, J. Clim., 13, 2217-2238, 2000.
37. Njoku, E. G., and L. Li, Retrieval of land surface parameters using passive microwave measurements at 6-18 GHz, IEEE Trans. Geosci. Remote Sens., 37(1), 79-93, 1999.
38. National Snow and Ice Data Center/Distributed Active Archive Center (NSIDC DAAC). AMSR Project at NSIDC, Univ. of Colo., Boulder, Colo., 2003. (Available at http://nside.org/daac/amsr/)
39. Oh, Y., K. Sarabandi, and F. T. Ulaby, An empirical model and an inversion technique for radar scattering from bare soil surfaces, IEEE Trans. Geosci. Remote Sens., 30(2), 370-381, 1992.
40. Pulliainen, J. T., T. Manninen, and M. Hallikainen, Application of ERS-1 Wind Scatterometer data to soil frost and soil moisture monitoring in boreal forest zone, IEEE Trans. Geosci. Remote Sens., 36(3), 849-863, 1998.
41. Quesney, A., S. Le Hégarat-Mascle, O. Taconet, D. Vidal-Madjar, J. P. Wigneron, C. Loumagne, and M. Normand, Estimation of watershed soil moisture index from ERS/SAR data, Remote Sens. Environ., 72, 290-303, 2000.
42. Robock, A., C. A. Schlosser, K. Y. Vinnikov, N. A. Speranskaya, J. K. Entin, and S. Qiu, Evaluation of the AMIP soil moisture simulations, Global Planet. Change, 19, 181-208, 1998.
43. Rudolf, B., H. Hauschild, W. Rueth, and U. Schneider, Terrestrial precipitation analysis: Operational method and required density of point measurements, in Global Precipitations and Climate Change, NATO ASI Ser. I, vol. 26, edited by M. Desbois and F. Desalmond, pp. 173-186, Springer-Verlag, New York, 1994.
44. Rudolf, B., U. Schneider, T. Fuchs, and A. Meyer-Cristoffer, The Global Precipitation Climatology Centre (GPCC) operational analysis of precipitation based on surface observations: Status report of the GPCC (periodically updated), report, Global Precip. Climatol. Cent., Offenbach, Germany, 2003. (Available at gpccδwd.de or GPCC)
45. Schanda, E., Physical Fundamentals of Remote Sensing, Springer-Verlag, New York, 1986.
46. Schmugge, T., Applications of passive microwave observations of surface soil moisture, J. Hydrol., 212-213, 188-197, 1998.
47. Schmugge, T., P. E. O'Neill, and J. R. Wang, Passive microwave soil moisture research, IEEE Trans. Geosci. Remote Sens., 24(1), 12-22, 1986.
48. Schmugge, T. J., W. P. Kustas, J. C. Ritchie, T. J. Jackson, and A. Rango, Remote sensing in hydrology, Adv. Water Resour., 25, 1367-1385, 2002.
49. Scipal, K., Global soil moisture retrieval from ERS scatterometer data, Ph.D. dissertation, Vienna Univ. of Technol., Vienna, Austria, 2002.
50. Scipal, K., and W. Wagner, Monitoring freeze-thaw cycles over northern Canada, paper presented at 2nd European Conference on Applied Climatology, Cent. Inst. of Meteorol. and Geodyn., Vienna, Austria, 1998.
51. Scipal, K., W. Wagner, M. Trommler, and K. Naumann, The global soil moisture archive 1992-2000 from ERS scatterometer data: First results, paper presented at Geoscience and Remote Sensing Symposium 2000 (IGARSS 2002), IEEE Geosci. and Remote Sens. Soc., Toronto, Canada, 2002.
52. Shao, Y., and A. Henderson-Sellers, Validation of soil moisture simulations in landsurface parameterization schemes with HAPEX data, Global Planet. Change, 13, 11-46, 1996.
53. Sheppard, D., A Two-dimensional interpolation function for irregularly-spaced data, in Proceedings of 23rd ACM National Conference, pp. 517-524, Brandon/Systems Press, Princeton, N. J., 1968.
54. Sitch, S., et al., Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model, Global Change Biol., 9, 161-185, 2003.
55. Tansey, K. J., A. C. Millington, A. M. Battikhi, and K. H. White, Monitoring soil moisture dynamics using satellite imaging radar in northeastern Jordan, Appl. Geogr., 19, 325-344, 1999.
56. Ulaby, F. T., R. K. Moore, and A. K. Fung, Microwave Remote Sensing: Active and Passive, vol. 1, Artech House, Norwood, Mass., 1981.
57. Ulaby, F. T., R. K. Moore, and A. K. Fung, Microwave Remote Sensing: Active and Passive, vol. 2, Artech House, Norwood, Mass., 1982.
58. van de Griend, A. A., and M. Owe, The influence of polarization on canopy transmission properties at 6.6 GHz and implications for large scale soil moisture monitoring in semi-arid environments, IEEE Trans. Geosci. Remote Sens., 32(2), 409-415, 1994.
59. Vinnikov, K. Y., A. Robock, S. Qiu, J. K. Entin, M. Owe, B. J. Choudhury, S. E. Hollinger, and E. G. Njoku, Satellite remote sensing of soil moisture in Illinois, United States, J. Geophys. Res., 104(D4), 4145-4168, 1999.
60. Wagner, W., Vegetation as observed with the AVHRR and the ERS scatterometer: A case study over the Iberian Peninsula, in Proceedings of Workshop on Emerging Scatterometer Applications: From Research to Operations, ESTEC, ESA-SP-424, pp. 51-56, Eur. Space Agency, Noordwijk, Netherlands, 1998.
61. Wagner, W., and K. Scipal, Large-scale soil moisture mapping in Western Africa using the ERS scatterometer, IEEE Trans. Geosci. Remote Sens., 38(4), 1777-1782, 2000.
62. Wagner, W., J. Noll, M. Borgeaud, and H. Rott, Monitoring soil moisture over the Canadian prairies with the ERS scatterometer, IEEE Trans. Geosci. Remote Sens., 37(1), 206-216, 1999a.
63. Wagner, W., G. Lemoine, M. Borgeaud, and H. Rott, A study of vegetation cover effects on ERS scatterometer data, IEEE Trans. Geosci. Remote Sens., 37(2), 938-948, 1999b.
64. Wagner, W., G. Lemoine, and H. Rott, A method for estimating soil moisture from ERS scatterometer and soil data, Remote Sens. Environ., 70, 191-207, 1999c.
65. Western, A., R. B. Grayson, and G. Blöschl, Scaling of soil moisture: A hydrologic perspective, Annu. Rev. Earth Planet. Sci., 30, 149-180, 2002.
66. Western, A., R. B. Grayson, G. Blöschl, and D. Wilson, Spatial variability of soil moisture and its implications for scaling, in Scaling Methods in Soil Physics, edited by Y. A. Perchepsky, H. M. Selim, and D. E. Radcliffe, chap. 8, pp. 119-142, CRC Press, Boca Raton, Fla., 2003.
67. Willmott, C. J., C. M. Rowe, and W. D. Philpot, Small-scale climate maps: A sensitivity analysis of some common assumptions associated with grid-point interpolation and contouring, Am. Cartogr., 12(1), 5-16, 1985.
68. Wismann, V., Monitoring of seasonal thawing in Siberia with ERS scatterometer data, IEEE Trans. Geosci. Remote Sens., 38(4), 1804-1809, 2000.