DOI: 10.5194/tc-11-923-2017
Scopus记录号: 2-s2.0-85017608259
论文题名: Eurasian snow depth in long-term climate reanalyses
作者: Wegmann M ; , Orsolini Y ; , Dutra E ; , Bulygina O ; , Sterin A ; , Brönnimann S
刊名: Cryosphere
ISSN: 19940416
出版年: 2017
卷: 11, 期: 2 起始页码: 923
结束页码: 935
语种: 英语
英文关键词: atmospheric circulation
; bifurcation
; climate conditions
; climate effect
; comparative study
; decadal variation
; energy flux
; global climate
; long-term change
; snow cover
; twentieth century
; Russian Federation
英文摘要: Snow cover variability has significant effects on local and global climate evolution. By changing surface energy fluxes and hydrological conditions, changes in snow cover can alter atmospheric circulation and lead to remote climate effects. To document such multi-scale climate effects, atmospheric reanalysis and derived products offer the opportunity to analyze snow variability in great detail far back to the early 20th century. So far only little is know about their quality. Comparing snow depth in four long-term reanalysis datasets with Russian in situ snow depth data, we find a moderately high daily correlation (around 0.6-0.7), which is comparable to correlations for the recent era (1981-2010), and a good representation of sub-decadal variability. However, the representation of pre-1950 inter-decadal snow variability is questionable, since reanalysis products divert towards different base states. Limited availability of independent long-term snow data makes it difficult to assess the exact cause for this bifurcation in snow states, but initial investigations point towards representation of the atmosphere rather than differences in assimilated data or snow schemes. This study demonstrates the ability of long-term reanalysis to reproduce snow variability accordingly. © 2017 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75571
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: Institut des Géosciences de l'Environnement, University of Grenoble, Grenoble, France; Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland; Institute of Geography, University of Bern, Bern, Switzerland; NILU-Norwegian Institute for Air Research, Kjeller, Norway; ECMWF-European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom; Instituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal; All-Russian Research Institute of Hydrometeorological Information, World Data Centre, Obninsk, Russian Federation
Recommended Citation:
Wegmann M,, Orsolini Y,, Dutra E,et al. Eurasian snow depth in long-term climate reanalyses[J]. Cryosphere,2017-01-01,11(2)