Point simulation of seasonal snow cover with comprehensive land surface model

Haishan Chen; Zhaobo Sun

doi:10.1117/12.466688

14 April 2003 Point simulation of seasonal snow cover with comprehensive land surface model

Haishan Chen, Zhaobo Sun

Proceedings Volume 4899, Atmospheric and Oceanic Processes, Dynamics, and Climate Change; (2003) https://doi.org/10.1117/12.466688
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China

Abstract

Due to the significant climatic effects of snow cover, it is very important to improve numerical simulation of snow cover in climate models. With the field data from Col de Porte, Freance and BOREAS, the evolution of seasonal snow cover is simulated with Compreshensive Land Surface Model. The objective of this study is to validate the model and investigate the snow cover proceses in both the alpine regions and the boreal forest. The sensitivity of the simulated results to some model parameters and the different phsyics responsible for the snow cover variation in vegetated and non-vegetated cases are investigated. The modeling results are in good agreements with the observational, and the model represents the snow-pack development and both the timing and the rate of seasonal snowmelt accurately in both cases, indicating that the model has the capacibilty to capture the main features of seasonal snow cover under water holding capacity have significant effects on the simulation of snow cover. The physical processes related to the snow cover variaiotn are different whether vegetation exits or not. Vegetation plays an important role in the dynamics of seasonal snow cover by controlling the radiative fluxes at the snow surface and thus the surface energy balance.

Citation Download Citation

Haishan Chen and Zhaobo Sun "Point simulation of seasonal snow cover with comprehensive land surface model", Proc. SPIE 4899, Atmospheric and Oceanic Processes, Dynamics, and Climate Change, (14 April 2003); https://doi.org/10.1117/12.466688

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KEYWORDS

Snow cover

Vegetation

Liquids

Climatology

Atmospheric modeling

Data modeling

Solar radiation models

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