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

Author: Homan, Joel W.; Luce, Charles H.; McNamara, James P.; Glenn, Nancy F.

Date: 2011

Source: Hydrological Processes. 25: 650-660. doi: 10.1002/hyp.7857

Publication Series: Not categorized

Description: 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.

Keywords: hydrology, snow, remote sensing, arctic

Publication Notes:

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  • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

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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

 


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