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Snow cover duration trends observed at sites and predicted by multiple models.

Authors :
Essery, Richard
Kim, Hyungjun
Wang, Libo
Bartlett, Paul
Boone, Aaron
Brutel-Vuilmet, Claire
Burke, Eleanor
Cuntz, Matthias
Decharme, Bertrand
Dutra, Emanuel
Fang, Xing
Gusev, Yeugeniy
Hagemann, Stefan
Haverd, Vanessa
Kontu, Anna
Krinner, Gerhard
Lafaysse, Matthieu
Lejeune, Yves
Marke, Thomas
Marks, Danny
Source :
Cryosphere. Dec2020, Vol. 14 Issue 12, p4687-4698. 12p.
Publication Year :
2020

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19940416
Volume :
14
Issue :
12
Database :
Academic Search Index
Journal :
Cryosphere
Publication Type :
Academic Journal
Accession number :
148069096
Full Text :
https://doi.org/10.5194/tc-14-4687-2020