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

Formally Refereed
Authors: Joel W. Homan, Charles H. Luce, James P. McNamara, Nancy F. Glenn
Year: 2011
Type: Miscellaneous Publication
Station: Rocky Mountain Research Station
DOI: https://doi.org/10.1002/hyp.7857
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.

Keywords

hydrology, snow, remote sensing, arctic

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
Citations
https://www.fs.usda.gov/research/treesearch/36968