Downscaling soil moisture in the southern Great Plains through a calibrated multifractal model for land surface modeling applications

Water Resources Research

Volumn 46, Issue 8, 2010, Pages

  Mascaro, Giuseppe ^a   Vivoni, Enrique R ^b   Deidda, Roberto ^a  

^a UNIVERSITY OF CAGLIARI   (Italy)

^b ARIZONA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ASSIMILATION SYSTEMS; DOWN-SCALING; DYNAMIC COMPONENT; LAND SURFACE MODELING; LAND SURFACE MODELS; LANDSCAPE FEATURE; MODEL PARAMETERS; MODEL PERFORMANCE; MODEL-BASED; MULTI-FRACTAL PROPERTY; MULTIFRACTAL MODELS; MULTIFRACTAL THEORY; MULTIFRACTALITY; PERFORMANCE EVALUATION; SCALE INVARIANCE; SOIL TEXTURES; SOUTHERN GREAT PLAINS; SPATIAL HETEROGENEITY; SPATIAL VARIABILITY; STATIC AND DYNAMIC; STATIC FEATURES; STATISTICAL PROPERTIES; STUDY AREAS; VEGETATION COVERAGE; WET CONDITIONS;

CALIBRATION; DATA PROCESSING; FRACTALS; LANDFORMS; MOISTURE DETERMINATION; SOIL MOISTURE; SURFACE MEASUREMENT; VEGETATION;

GEOLOGIC MODELS;

AIRBORNE SURVEY; CALIBRATION; DATA ASSIMILATION; DOWNSCALING; EXPERIMENTAL STUDY; HETEROGENEITY; LAND SURFACE; NUMERICAL MODEL; SATELLITE DATA; SOIL MOISTURE; SOIL TEXTURE; SPATIAL VARIATION; TOPOGRAPHY; VEGETATION COVER;

GREAT PLAINS;

EID: 77956311074     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2009WR008855     Document Type: Article

References (49)

1. Altese, E., O. Bolognani, M. Mancini, and P. A. Troch (1996), Retrieving soil moisture over bare soil from ERS-1 synthetic aperture radar data: Sensitivity analysis based on a theoretical surface scattering model and field data, Water Resour. Res., 32(3), 653-661, doi:10.1029/95WR03638.
2. Badas, M. G., R. Deidda, and E. Piga (2006), Modulation of homogeneous space-time rainfall cascades to account for orographic influences, Nat. Hazards Earth Syst. Sci., 6, 427-437, doi:10.5194/nhess-6-427-2006.
3. Benzi, R., L. Biferale, S. Ciliberto, M. V. Struglia, and R. Tripiccione (1996a), Generalized scaling in fully developed turbulence, Physica D, 96(1-4), 162-181, doi:10.1016/0167-2789(96)00018-8.
4. Benzi, R., L. Biferale, and E. Trovatore (1996b), Universal statistics of nonlinear energy transfer in turbulent models, Phys. Rev. Lett., 77(15), 3114-3117, doi:10.1103/PhysRevLett.77.3114.
5. Bindlish, R., T. Jackson, R. Sun, M. Cosh, S. Yueh, and S. Dinardo (2009), Combined passive and active microwave observations of soil moisture during CLASIC, IEEE Geosci. Remote Sens. Lett., 6(4), 644-648, doi:10.1109/LGRS.2009.2028441.
6. Cooley, H. S., W. J. Riley, M. S. Torn, and Y. He (2005), Impact of agricultural practice on regional climate in a coupled land surface mesoscale model, J. Geophys. Res., 110, D03113, doi:10.1029/2004JD005160.
7. Crow, W. T., and E. F. Wood (1999), Multi-scale dynamics of soil moisture variability observed during SGP'97, Geophys. Res. Lett., 26(23), 3485-3488, doi:10.1029/1999GL010880.
8. Crow, W. T., and E. F. Wood (2002), The value of coarse-scale soil moisture observations for regional surface energy balance modeling, J. Hydrometeorol., 3, 467-481, doi:10.1175/1525-7541(2002)003<0467: TVOCSS>2.0.CO;2.
9. Das, N. N., and B. P. Mohanty (2008), Temporal dynamics of PSR-based soil moisture across spatial scales in an agricultural landscape during SMEX02: A wavelet approach, Remote Sens. Environ., 112, 522-534, doi:10.1016/j.rse.2007. 05.007.
10. Davison, A. C., and D. V. Hinkley (1997), Bootstrap Methods and Their Application, Cambridge Ser. Stat. Probab. Math, vol. 1, 1st ed., 582 pp., Cambridge Univ. Press, New York.
11. Deidda, R. (1999), Multifractal analysis and simulation of rainfall fields in space, Phys. Chem. Earth Part B, 24, 73-78, doi:10.1016/S1464-1909 (98)00014-8.
12. Deidda, R. (2000), Rainfall downscaling in a space-time multifractal framework, Water Resour. Res., 36(7), 1779-1794, doi:10.1029/ 2000WR900038.
13. Deidda, R., R. Benzi, and F. Siccardi (1999), Multifractal modeling of anomalous scaling laws in rainfall, Water Resour. Res., 35(6), 1853-1867, doi:10.1029/1999WR900036.
14. Deidda, R., M. G. Badas, and E. Piga (2004), Space-time scaling in highintensity Tropical Ocean Global Atmosphere Coupled Ocean-Atmosphere Response Experiment (TOGA-COARE) storms, Water Resour. Res., 40, W02506, doi:10.1029/2003WR002574.
15. Deidda, R., M. G. Badas, and E. Piga (2006), Space-time multifractality of remotely sensed rainfall fields, J. Hydrol., 322(1-4), 2-13, doi:10.1016/ j.jhydrol.2005.02.036.
16. Doriaswamy, P., A. J. Stern, and P. W. Cook (1998), Classification techniques for mapping biophysical parameters in the U.S. southern Great Plains, in Proceedings of the International Geoscience and Remote Sensing Symposium, vol. 2, pp. 862-865, Inst. of Electr. and Electron. Eng., New York.
17. Dubrulle, B. (1994), Intermittency in fully developed turbulence: Log- Poisson statistics and generalized scale covariance, Phys. Rev. Lett., 73(7), 959-962, doi:10.1103/PhysRevLett.73.959.
18. Entekhabi, D., E. Njoku, and P. O'Neill (2009), The Soil Moisture Active and Passive Mission (SMAP): Science and applications, in Proceedings of the 2009 IEEE Radar Conference, pp. 1-3, Inst. of Electr. and Electron. Eng., New York.
19. Famiglietti, J. S., and E. F. Wood (1995), Effects of spatial variability and scale on areally averaged evapotranspiration, Water Resour. Res., 31, 699-712, doi:10.1029/94WR02820.
20. Famiglietti, J. S., J. A. Devereaux, C. Laymon, T. Tsegaye, P. R. Houser, T. J. Jackson, S. T. Graham, M. Rodell, and P. J. van Oevelen (1999), Groundbased investigation of soil moisture variability within remote sensing footprints during the Southern Great Plains 1997(SGP97) Hydrology Experiment, Water Resour. Res., 35, 1839-1851, doi:10.1029/1999WR900047.
21. Famiglietti, J. S., D. Ryu, A. A. Berg, M. Rodell, and T. J. Jackson (2008), Field observations of soil moisture variability across scales, Water Resour. Res., 44, W01423, doi:10.1029/2006WR005804.
22. Holah, N., N. Baghdadi, M. Zribi, A. Bruand, and C. King (2005), Potential of ASAR/ENVISAT for the characterization of soil surface parameters over bare agricultural fields, Remote Sens. Environ., 96(1), 78-86, doi:10.1016/j.rse.2005.01.008.
23. Hu, Z., S. Islam, and Y. Cheng (1997), Statistical characterization of remotely sensed soil moisture images, Remote Sens. Environ., 61, 310-318, doi:10.1016/S0034-4257(97)89498-9.
24. Hu, Z., S. Islam, and Y. Cheng (1998), Multiscaling properties of soil moisture images and decomposition of large- and small-scale features using wavelet transforms, Int. J. Remote Sens., 19(13), 2451-2467, doi:10.1080/014311698214550.
25. 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, doi:10.1109/36.789610.
26. Jolliffe, I. T. (2002), Principal Component Analysis, 2nd ed., 487 pp., Springer, New York.
27. Kerr, Y. H., P. Waldteufel, J. P. Wigneron, J. M. Martinuzzi, J. Font, and M. Berger (2001), Soil moisture retrieval from space: The Soil Moisture and Ocean Salinity Mission (SMOS), IEEE Trans. Geosci. Remote Sens., 39(8), 1729-1735, doi:10.1109/36.942551.
28. Kim, G., and A. Barros (2002a), Space-time characterization of soil moisture from passive microwave remotely sensed imagery and ancillary data, Remote Sens. Environ., 81, 393-403, doi:10.1016/S0034-4257 (02)00014-7.
29. Kim, G., and A. 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, doi:10.1016/S0034- 4257(02)00044-5.
30. Kumar, P. (1999), A multiple scale state-space model for characterizing subgrid scale variability of near-surface soil moisture, IEEE Trans. Geosci. Remote Sens., 37(1), 182-197, doi:10.1109/36.739153.
31. Le Vine, D. M., A. J. Griffis, C. T. Swift, and T. J. Jackson (1994), ESTAR: A synthetic aperture microwave radiometer for remote sensing applications, Proc. IEEE, 82, 1787-1801, doi:10.1109/5.338071.
32. Mancini, M., R. Hoeben, and P. A. Troch (1999), Multifrequency radar observations of bare surface soil moisture content: A laboratory experiment, Water Resour. Res., 35(6), 1827-1838, doi:10.1029/ 1999WR900033.
33. Mascaro, G., and E. R. Vivoni (2010), Statistical and scaling properties of remotely sensed soil moisture in two contrasting domains in the North American monsoon region, J. Arid Environ., 74(5), 572-578, doi:10.1016/j. jaridenv.2009.09.023.
34. McPherson, R. A., D. J. Stensrud, and K. C. Crawford (2004), The impact of Oklahoma's winter wheat belt on mesoscale environment, Mon. Weather Rev., 132, 405-421, doi:10.1175/1520-0493(2004)132<0405: TIOOWW>2.0.CO;2.
35. Merlin, O., A. Chehbouni, G. Boulet, and Y. Kerr (2006), Assimilation of disaggregated microwave soil moisture into a hydrologic model using coarse-scale meteorological data, J. Hydrometeorol., 7(6), 1308-1322, doi:10.1175/JHM552.1.
36. Merlin, O., A. Chehbouni, J. P. Walker, R. Panciera, and Y. H. Kerr (2008a), A simple method to disaggregate passive microwave-based soil moisture, IEEE Trans. Geosci. Remote Sens., 46(3), 786-796, doi:10.1109/TGRS.2007.914807.
37. Merlin, O., J. P. Walker, A. Chehbouni, and Y. Kerr (2008b), Towards deterministic downscaling of SMOS soil moisture using MODIS derived soil evaporative efficiency, Remote Sens. Environ., 112, 3935-3946, doi:10.1016/j.rse.2008.06.012.
38. Merlin, O., A. Al Bitar, J. P. Walker, and Y. Kerr (2009), A sequential model for disaggregating near-surface soil moisture observations using multi-resolution thermal sensors, Remote Sens. Environ., 113, 2275-2284, doi:10.1016/j.rse.2009.06.012.
39. Miller, D. A., and R. A. White (1998), A conterminous United States multi-layer soil characteristics data set for regional climate and hydrology modeling, Earth Interactions, 2(2), 26 pp. (Available at http:// earthinteractions.org)
40. Mladenova, I., V. Lakshmi, J. P. Walker, D. G. Long, and R. De Jeu (2009), An assessment of QuikSCAT Ku-band scatterometer data for soil moisture sensitivity, IEEE Geosci. Remote Sens. Lett., 6(4), 640-643, doi:10.1109/LGRS.2009.2021492.
41. Mohanty, B. P., J. S. Famiglietti, and T. H. Skaggs (2000), Evolution of soil moisture spatial structure in a mixed-vegetation pixel during the SGP97 hydrology experiment, Water Resour. Res., 36(12), 3675-3686, doi:10.1029/2000WR900258.
42. Narayan, U., and V. Lakshmi (2008), Characterizing subpixel variability of low resolution radiometer derived soil moisture using high resolution radar data, Water Resour. Res., 44, W06425, doi:10.1029/ 2006WR005817.
43. Njoku, E. G., T. L. Jackson, V. Lakshmi, T. Chan, and S. V. Nghiem (2003), Soil moisture retrieval from AMSR-E, IEEE Trans. Geosci. Remote Sens., 41(2), 215-229, doi:10.1109/TGRS.2002.808243.
44. Oldak, A., Y. Pachepsky, T. J. Jackson, and W. J. Rawls (2002), Statistical properties of soil moisture images revisited, J. Hydrol., 255, 12-24, doi:10.1016/S0022-1694(01)00507-8.
45. Peters-Lidard, C. D., F. Pan, and E. F. Wood (2001), A re-examination of modeled and measured soil moisture spatial variability and its implications for land surface modeling, Adv. Water Resour., 24, 1069-1083, doi:10.1016/S0309- 1708(01)00035-5.
46. Rodriguez-Iturbe, I., G. K. Vogel, R. Rigon, D. Entekhabi, F. Castelli, and A. Rinaldo (1995), On the spatial organization of soil moisture fields, Geophys. Res. Lett., 22(20), 2757-2760, doi:10.1029/95GL02779.
47. Sellers, P. J., M. D. Heiser, F. G. Hall, S. J. Goetz, D. E. Strebel, S. B. Verma, R. L. Desjardins, P. M. Schuepp, and J. I. MacPherson (1995), Effects of spatial variability in topography, vegetation cover and soil moisture on area-averaged surface fluxes: A case study using FIFE 1989 data, J. Geophys. Res., 100, 25,607-25,629, doi:10.1029/95JD02205.
48. She, Z. S., and E. C. Waymire (1995), Quantized energy cascade and log- Poisson statistics in fully developed turbulence, Phys. Rev. Lett., 74, 262-265, doi:10.1103/PhysRevLett.74.262.
49. Zhan, X., P. R. Houser, J. P. Walker, and W. T. Crow (2006), A method for retrieving high-resolution surface soil moisture from hydros L-band radiometer and radar observations, IEEE Trans. Geosci. Remote Sens., 44(6), 1534-1544, doi:10.1109/TGRS.2005.863319.