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

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

Feb 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004georl..3103501m&link_type=abstract

Geophysical Research Letters, Volume 31, Issue 3, CiteID L03501

Physics

13

Hydrology: Snow And Ice (1827), Hydrology: Runoff And Streamflow, Hydrology: Water/Energy Interactions

Scientific paper

Basin-average albedo estimated from remotely-sensed Airborne Visible/Infrared Imaging Spectroradiometer (AVIRIS) data specific to the catchment typically differed by 20% from albedo estimated using a common snow-age-based empirical relation. In some parts of the basin, differences were as large as 0.31. Using the AVIRIS albedo estimates in a distributed snowmelt model that explicitly includes net solar radiation resulted in a much more accurate estimate of the timing and magnitude of snowmelt as compared to the same model with the empirical albedo (R2 of 0.73 versus 0.59 and magnitude error of 2% versus 36%). Model improvement was most significant in areas and at times where incident solar radiation was relatively high and temperatures low.

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