Snow cover response to temperature in observational and climate model ensembles

被引:97
|
作者
Mudryk, L. R. [1 ]
Kushner, P. J. [2 ]
Derksen, C. [1 ]
Thackeray, C. [3 ]
机构
[1] Environm & Climate Change Canada, Toronto, ON, Canada
[2] Univ Toronto, Dept Phys, Toronto, ON, Canada
[3] Univ Waterloo, Dept Geog, Waterloo, ON, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
snow cover; climate variability; climate sensitivity; WATER EQUIVALENT; NORTHERN; ASSIMILATION; DEPTH;
D O I
10.1002/2016GL071789
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The relationship between land surface temperature and snow cover extent trends is examined in three distinct types of ensembles over the 1981-2010 period: an observation-based ensemble, a representative selection of CMIP5 coupled climate model output, and two large initial condition coupled climate model ensembles. Observation-based estimates of snow cover sensitivity are stronger than simulated over midlatitude and alpine regions. Observed sensitivity estimates over Arctic regions are consistent with simulated values. Anomalous snow cover extend trends present in one data set, the NOAA climate record, obscure the relationship to surface temperature seen in the rest of the analyzed data. The spread in modeled snow cover trends reflects roughly equal contributions from intermodel variability and from natural variability. Together, the anomalous relationship between surface temperature and snow cover expressed in the NOAA climate record and the large influence of natural variability present in the simulations highlight the importance of ensemble-based approaches.
引用
收藏
页码:919 / 926
页数:8
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