Incorporating remotely-sensed snow albedo into a spatially-distributed snowmelt model

Geophysical Research Letters

Volumn 31, Issue 3, 2004, Pages

  Molotch, Noah P ^a   Painter, Thomas H ^b   Bales, Roger C ^c   Dozier, Jeff ^d  

^a UNIVERSITY OF ARIZONA   (United States)

^b UNIVERSITY OF COLORADO   (United States)

^c Merced   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ERROR ANALYSIS; ESTIMATION; IRRADIATION; MATHEMATICAL MODELS; REMOTE SENSING; SNOW; SOLAR RADIATION; SPECTROMETERS;

SNOWMELT MODEL; SPECTRORADIOMETERS;

GEOPHYSICS;

ALBEDO; AVIRIS; REMOTE SENSING; SNOWMELT; SOLAR RADIATION;

EID: 18144441533     PISSN: 00948276     EISSN: None     Source Type: Journal    
DOI: 10.1029/2003GL019063     Document Type: Article

References (12)

1. Blöschl, G. (1991), The influence of uncertainty in air temperature and albedo on snowmelt, Nordic Hydrology, 22(2), 95-108.
2. Blöschl, G., D. Gutknecht, and R. Kirnbauer (1991), Distributed snowmelt simulations in an alpine catchment, 2. Parameter study and model predictions, Water Resour. Res., 27(12), 3181-3188.
3. Brubaker, K., A. Rango, and W. Kustas (1996), Incorporating radiation inputs into the snowmelt runoff model, Hydrological Processes, 10(10), 1329-1343.
4. Cline, D. W., R. C. Bales, and J. Dozier (1998), Estimating the spatial distribution of snow in mountain basins using remote sensing and energy balance modeling, Water Resour. Res., 34(5), 1275-1285.
5. Colee, M. T., T. H. Painter, W. Rosenthal, and J. Dozier (2000), A spatially distributed physical snowmelt model in an alpine catchment, Proceedings, Western Snow Conference, 68, 99-102.
6. Davis, R. E., A. W. Nolin, R. Jordan, and J. Dozier (1993), Towards predicting temporal changes of the spectral signature of snow in visible and near-infrared wavelengths, Annals of Glaciology, 17, 143-148.
7. Dozier, J., and J. Frew (1990), Rapid calculation of terrain parameters for radiation modeling from digital elevation data, IEEE Transactions on Geoscience and Remote Sensing, 28(5), 963-969.
8. Klein, A. G., and J. Stroeve (2002), Development and validation of a snow albedo algorithm for the MODIS instrument, Annals of Glaciology, 34, 45-52.
9. Molotch, N. P., R. C. Bales, M. T. Colee, and J. Dozier (2004), Estimating the spatial distribution of snow water equivalent in an alpine basin using binary regression tree models: The impact of digital elevation data and independent variable selection, Hydrol. Proc., in press.
10. Painter, T. H., J. Dozier, D. A. Roberts, R. E. Davis, and R. O. Green (2003), Retrieval of subpixel snow-covered area and grain size from imaging spectrometer data, Remote Sensing of Environment, 85(1), 64-77, doi:10.1016/S0034-4257(02)00187-6.
11. U.S. Army Corps of Eng. (1956), Snow Hydrology: Summary Report of the Snow Investigations, 462 pp., North Pacific Division, Corps of Eng., Portland, OR.
12. Wiscombe, W. J., and S. G. Warren (1980), A model for the spectral albedo of snow. 1, Pure snow, J. Atmospheric Sciences, 37(12), 2712-2733.