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Improvement of distributed snowmelt energy balance modeling with MODIS-based NDSI-derived fractional snow-covered area data

Posted date: December 01, 2010
Publication Year: 
2011
Authors: Homan, Joel W.; Luce, Charles H.; McNamara, James P.; Glenn, Nancy F.
Publication Series: 
Miscellaneous Publication
Source: Hydrological Processes. 25: 650-660. doi: 10.1002/hyp.7857

Abstract

Describing the spatial variability of heterogeneous snowpacks at a watershed or mountain-front scale is important for improvements in large-scale snowmelt modelling. Snowmelt depletion curves, which relate fractional decreases in snowcovered area (SCA) against normalized decreases in snow water equivalent (SWE), are a common approach to scale-up snowmelt models. Unfortunately, the kinds of ground-based observations that are used to develop depletion curves are expensive to gather and impractical for large areas. We describe an approach incorporating remotely sensed fractional SCA (FSCA) data with coinciding daily snowmelt SWE outputs during ablation to quantify the shape of a depletion curve.

Citation

Homan, Joel W.; Luce, Charles H.; McNamara, James P.; Glenn, Nancy F. 2011. Improvement of distributed snowmelt energy balance modeling with MODIS-based NDSI-derived fractional snow-covered area data. Hydrological Processes. 25: 650-660. doi: 10.1002/hyp.7857