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contributor authorEssery, Richard
contributor authorRutter, Nick
contributor authorPomeroy, John
contributor authorBaxter, Robert
contributor authorStähli, Manfred
contributor authorGustafsson, David
contributor authorBarr, Alan
contributor authorBartlett, Paul
contributor authorElder, Kelly
date accessioned2017-06-09T16:27:13Z
date available2017-06-09T16:27:13Z
date copyright2009/08/01
date issued2009
identifier issn0003-0007
identifier otherams-68126.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4209650
description abstractThe Northern Hemisphere has large areas that are forested and seasonally snow covered. Compared with open areas, forest canopies strongly influence interactions between the atmosphere and snow on the ground by sheltering the snow from wind and solar radiation and by intercepting falling snow; these influences have important consequences for the meteorology, hydrology, and ecology of forests. Many of the land surface models used in meteorological and hydrological forecasting now include representations of canopy snow processes, but these have not been widely tested in comparison with observations. Phase 2 of the Snow Model Intercomparison Project (SnowMIP2) was therefore designed as an intercomparison of surface mass and energy balance simulations for snow in forested areas. Model forcing and calibration data for sites with paired forested and open plots were supplied to modeling groups. Participants in 11 countries contributed output from 33 models, and the results are published here for sites in Canada, the United States, and Switzerland. On average, the models perform fairly well in simulating snow accumulation and ablation, although there is a wide intermodal spread and a tendency to underestimate differences in snow mass between open and forested areas. Most models capture the large differences in surface albedos and temperatures between forest canopies and open snow well. There is, however, a strong tendency for models to underestimate soil temperature under snow, particularly for forest sites, and this would have large consequences for simulations of runoff and biological processes in the soil.
publisherAmerican Meteorological Society
titleSNOWMIP2: An Evaluation of Forest Snow Process Simulations
typeJournal Paper
journal volume90
journal issue8
journal titleBulletin of the American Meteorological Society
identifier doi10.1175/2009BAMS2629.1
journal fristpage1120
journal lastpage1135
treeBulletin of the American Meteorological Society:;2009:;volume( 090 ):;issue: 008
contenttypeFulltext


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