globalchange  > 气候变化与战略
DOI: 10.5194/tc-14-4687-2020
论文题名:
Snow cover duration trends observed at sites and predicted by multiple models
作者: 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.
刊名: Cryosphere
ISSN: 19940416
出版年: 2020
卷: 14, 期:12
起始页码: 4687
结束页码: 4698
语种: 英语
英文关键词: air temperature ; model validation ; prediction ; sensible heat flux ; snow cover ; snowmelt ; solar radiation ; trend analysis
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.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/164453
Appears in Collections:气候变化与战略

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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, Grenoble, France; Department of Geography, University of Innsbruck, Innsbruck, Austria; Usda Agricultural Research Service, Boise, ID, United States; Wsl Institute for Snow and Avalanche Research Slf, Davos, Switzerland; Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany; A.M. Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences, Moscow, Russian Federation; Cooperative Institute for Research in Environmental Science/Earth System Research Laboratory, Noaa, Boulder, CO, United States; Climate and Global Dynamics Division, National Center for Atmospheric Research, Boulder, CO, United States; Institute of Geography, Russian Academy of Sciences, Moscow, Russian Federation; Department of Atmospheric and Oceanic Sciences, University of Colorado, Boulder, CO, United States; School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou, China

Recommended Citation:
Essery R.,Kim H.,Wang L.,et al. Snow cover duration trends observed at sites and predicted by multiple models[J]. Cryosphere,2020-01-01,14(12)
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