Utility of coarse and downscaled soil moisture products at L-band for hydrologic modeling at the catchment scale

Geophysical Research Letters

Volumn 39, Issue 10, 2012, Pages

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

^a UNIVERSITY OF CAGLIARI   (Italy)

^b ARIZONA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CATCHMENTS; DATA PROCESSING; EXPERIMENTS; MATHEMATICAL MODELS; RUNOFF; SENSORS; SOIL MOISTURE;

CATCHMENT SCALE; CRITICAL COMPONENT; DATA ASSIMILATION; DISAGGREGATION; DISTRIBUTED HYDROLOGIC MODEL; DOWN-SCALING; GROUND DATA; HIGH RESOLUTION; HYDROLOGIC MODELING; HYDROLOGIC SIMULATIONS; ME-XICO; MISSION DESIGN; POTENTIAL VALUES; REASONABLE ACCURACY; STATISTICAL DOWNSCALING;

PRODUCT DESIGN;

ACCURACY ASSESSMENT; AIRBORNE SURVEY; ALGORITHM; AMSR-E; CATCHMENT; DATA ASSIMILATION; DOWNSCALING; GROUND-BASED MEASUREMENT; HYDROLOGICAL MODELING; SATELLITE DATA; SOIL MOISTURE; CLIMATE MODELING; SATELLITE IMAGERY; SENSOR; STATISTICAL ANALYSIS;

MEXICO [NORTH AMERICA]; SONORA;

EID: 84861716965     PISSN: 00948276     EISSN: None     Source Type: Journal    
DOI: 10.1029/2012GL051809     Document Type: Article

References (26)

1. Bindlish, R., et al. (2008), Aircraft based soil moisture retrievals under mixed vegetation and topographic conditions, Remote Sens. Environ., 112(2), 375-390, doi:10.1016/j.rse.2007.01.024.
2. Bindlish, R., W. T. Crow, and T. J. Jackson (2009), Role of passive microwave remote sensing in improving flood forecasts, IEEE Geosci. Remote Sens. Lett., 6(1), 112-116, doi:10.1109/LGRS.2008.2002754.
3. Brocca, L., et al. (2010), Improving runoff prediction through the assimilation of the ASCAT soil moisture product, Hydrol. Earth Syst. Sci., 14, 1881-1893, doi:10.5194/hess-14-1881-2010.
4. Calvet, J. C., et al. (2011), Sensitivity of passive microwave observations to soil moisture and vegetation water content: L-band to W-band, IEEE Trans. Geosci. Remote Sens., 49(4), 1190-1199, doi:10.1109/TGRS.2010. 2050488.
5. Crow, W. T., and D. Ryu (2009), A new data assimilation approach for improving runoff prediction using remotely-sensed soil moisture retrievals, Hydrol. Earth Syst. Sci., 13, 1-16, doi:10.5194/hess-13-1-2009.
6. 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, 467-482, doi:10.1175/1525-7541(2002)0032.0.CO;2.
7. Das, N. N., D. Entekhabi, and E. G. Njoku (2011), An algorithm for merging SMAP radiometer and radar data for high resolution soil moisture retrieval, IEEE Trans. Geosci. Remote Sens., 49(5), 1504-1512, doi:10.1109/TGRS.2010.2089526.
8. Deidda, R. (2000), Rainfall downscaling in a space-time multifractal framework, Water Resour. Res., 36(7), 1779-1794, doi:10.1029/2000WR900038. (Pubitemid 30651194)
9. Houser, P. R., et al. (1998), Integration of soil moisture remote sensing and hydrologic modeling using data assimilation, Water Resour. Res., 34(12), 3405-3420, doi:10.1029/1998WR900001. (Pubitemid 29032957)
10. Ivanov, V. Y., E. R. Vivoni, R. L. Bras, and D. Entekhabi (2004), Catchment hydrologic response with a fully distributed triangulated irregular network model, Water Resour. Res., 40, W11102, doi:10.1029/2004WR003218. (Pubitemid 40008845)
11. Jackson, T. J., R. Bindlish, and M. Cosh (2009), Validation of AMSR-E soil moisture products using in situ observations, J. Remote Sens. Soc. Jpn., 29(1), 263-270.
12. Kerr, Y. H., et al. (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. (Pubitemid 32933012)
13. Kim, G., and A. Barros (2002), 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. (Pubitemid 35337194)
14. Martinez-Fernandez, J., and A. Ceballos (2003), Temporal stability of soil moisture in a large-field experiment in Spain, Soil Sci. Soc. Am. J., 67, 1647-1656, doi:10.2136/sssaj2003.1647. (Pubitemid 37417881)
15. Mascaro, G., and E. R. Vivoni (2012), Comparison of statistical and multi-fractal properties of soil moisture and brightness temperature from ESTAR and PSR during SGP99, IEEE Geosci. Remote Sens. Lett., 9(3), 373-377, doi:10.1109/LGRS.2011.2169770.
16. Mascaro, G., E. R. Vivoni, and R. Deidda (2010), Downscaling soil moisture in the southern Great Plains through a calibrated multifractal model for land surface modeling applications, Water Resour. Res., 46, W08546, doi:10.1029/2009WR008855.
17. Mascaro, G., E. R. Vivoni, and R. Deidda (2011), Soil moisture downscal-ing across climate regions and its emergent properties, J. Geophys. Res., 116, D22114, doi:10.1029/2011JD016231.
18. Merlin, O., A. Al Bitar, J. P. Walker, and Y. Kerr (2010), An improved algorithm for disaggregating microwave-derived soil moisture based on red, near-infrared and thermal-infrared data, Remote Sens. Environ., 114(10), 2305-2316, doi:10.1016/j.rse.2010.05.007.
19. Ni-Meister, W., P. R. Houser, and J. P. Walker (2006), Soil moisture initialization for climate prediction: Assimilation of scanning multifrequency microwave radiometer soil moisture data into a land surface model, J. Geophys. Res., 111, D20102, doi:10.1029/2006JD007190. (Pubitemid 44941262)
20. Njoku, E. G., et al. (2003), Soil moisture retrieval from AMSR-E, IEEE Trans. Geosci. Remote Sens., 41(2), 215-229, doi:10.1109/TGRS.2002.808243. (Pubitemid 350178126)
21. Ryu, D., et al. (2010), Soil moisture retrieval using a two-dimensional L-band synthetic aperture radiometer in a semiarid environment, IEEE Trans. Geosci. Remote Sens., 48(12), 4273-4284, doi:10.1109/TGRS. 2010.2051677.
22. Schmugge, T. (1998), Applications of passive microwave observations of surface soil moisture, J. Hydrol., 212-213, 188-197, doi:10.1016/S0022-1694(98) 00209-1. (Pubitemid 29020065)
23. Scipal, K., M. Drusch, and W. Wagner (2008), Assimilation of a ERS scat-terometer derived soil moisture index in the ECMWF numerical weather prediction system, Adv. Water Resour., 31(8), 1101-1112, doi:10.1016/j. advwatres.2008.04.013.
24. Vivoni, E. R., et al. (2007), Variation of hydrometeorological conditions along a topographic transect in northwestern Mexico during the North American monsoon, J. Clim., 20(9), 1792-1809, doi:10.1175/JCLI4094.1. (Pubitemid 46831919)
25. Vivoni, E. R., et al. (2008), Comparison of ground-based and remotely-sensed surface soil moisture estimates over complex terrain during SMEX04, Remote Sens. Environ., 112(2), 314-325, doi:10.1016/j. rse.2006.10.028.
26. Vivoni, E. R., J. C. Rodríguez, and C. J. Watts (2010), On the spatiotempo-ral variability of soil moisture and evapotranspiration in a mountainous basin within the North American monsoon region, Water Resour. Res., 46, W02509, doi:10.1029/2009WR008240.