Incorporating remotely-sensed snow albedo into a spatially-distributed snowmelt model
- Author(s): Molotch, NP;
- Painter, TH;
- Bales, RC;
- Dozier, J
- et al.
Published Web Locationhttp://onlinelibrary.wiley.com/doi/10.1029/2003GL019063/abstract?systemMessage=Wiley+Online+Library+will+be+unavailable+on+Saturday+27th+February+from+09:00-14:00+GMT+/+04:00-09:00+EST+/+17:00-22:00+SGT+for+essential+maintenance.++Apologies+for+the+inconvenience.
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. Copyright 2004 by the American Geophysical Union.