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DOI	10.5194/tc-14-4687-2020
	Snow cover duration trends observed at sites and predicted by multiple models
	Essery R.; Kim H.; Wang L.; Bartlett P.; Boone A.; Brutel-Vuilmet C.; Burke E.; Cuntz M.; Decharme B.; Dutra E.; Fang X.; Gusev Y.; Hagemann S.; Haverd V.; Kontu A.; Krinner G.; Lafaysse M.; Lejeune Y.; Marke T.; Marks D.; Marty C.; Menard C.B.; Nasonova O.; Nitta T.; Pomeroy J.; Schädler G.; Semenov V.; Smirnova T.; Swenson S.; Turkov D.; Wever N.; Yuan H.
发表日期	2020
ISSN	19940416
起始页码	4687
结束页码	4698
卷号	14 期号:12
英文摘要	The 30-year simulations of seasonal snow cover in 22 physically based models driven with bias-corrected meteorological reanalyses are examined at four sites with long records of snow observations. Annual snow cover durations differ widely between models, but interannual variations are strongly correlated because of the common driving data. No significant trends are observed in starting dates for seasonal snow cover, but there are significant trends towards snow cover ending earlier at two of the sites in observations and most of the models. A simplified model with just two parameters controlling solar radiation and sensible heat contributions to snowmelt spans the ranges of snow cover durations and trends. This model predicts that sites where snow persists beyond annual peaks in solar radiation and air temperature will experience rapid decreases in snow cover duration with warming as snow begins to melt earlier and at times of year with more energy available for melting. © 2016 SPIE. All rights reserved.
英文关键词	air temperature; model validation; prediction; sensible heat flux; snow cover; snowmelt; solar radiation; trend analysis
语种	英语
来源期刊	Cryosphere
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/202075
作者单位	School of GeoSciences, University of Edinburgh, Edinburgh, United Kingdom; Institute of Industrial Science, University of Tokyo, Tokyo, Japan; Climate Research Division, Environment and Climate Change Canada, Toronto, Canada; Université de Toulouse, Météo-France, Cnrs, Toulouse, France; Cnrs, Université Grenoble Alpes, Institut de Géosciences de l'Environnement, Grenoble, France; Met Office, Exeter, United Kingdom; Université de Lorraine, AgroParisTech, INRAE, Umr Silva, Nancy, France; Instituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal; Centre for Hydrology, University of Saskatchewan, Saskatoon, Canada; Institute of Water Problems, Russian Academy of Sciences, Moscow, Russian Federation; Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Geesthacht, Germany; Csiro Oceans and Atmosphere, Canberra, ACT, Australia; Space and Earth Observation Centre, Finnish Meteorological Institute, Sodankylä, Finland; Météo-France, CNRS, CNRM, Centre d'Etudes de la Neige, Grenobl...
推荐引用方式 GB/T 7714	Essery R.,Kim H.,Wang L.,et al. Snow cover duration trends observed at sites and predicted by multiple models[J],2020,14(12).
APA	Essery R..,Kim H..,Wang L..,Bartlett P..,Boone A..,...&Yuan H..(2020).Snow cover duration trends observed at sites and predicted by multiple models.Cryosphere,14(12).
MLA	Essery R.,et al."Snow cover duration trends observed at sites and predicted by multiple models".Cryosphere 14.12(2020).