Considering snow spatial distribution sub-grid variability in land-surface models

Siwei He
Aug 1, 2018
More information about the NRC program
PI Siwei He
Organization National Academies of Sciences, Engineering, and Medicine
Period 2018-08 to 2020-02

This project aimed to solve the spatial variability of snow depth problem in the Earth system modeling. A snow model for representing sub-grid variability of snow depth was coupled into the Rapid Update Cycle Land Surface Model (RUC LSM), and its impacts on the LSM was evaluated.

Publications

Single-Column Validation of a Snow Subgrid Parameterization in the Rapid Update Cycle Land-Surface Model (RUC LSM)
Abstract Subgrid variability of snow is important in studying surface-atmosphere interactions as it affects grid-scale processes. …
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A scale-aware parameterization for estimating subgrid variability of downward solar radiation using high-resolution digital elevation model data
Abstract Subgrid variability of solar downward radiation at the surface can be important in estimating subgrid variability of other …
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