DOI: 10.1175/JCLI-D-12-00159.1
Scopus记录号: 2-s2.0-84875842504
论文题名: Impacts of snow initialization on subseasonal forecasts of surface air temperature for the cold season
作者: Jeong J.-H. ; Linderholm H.W. ; Woo S.-H. ; Folland C. ; Kim B.-M. ; Kim S.-J. ; Chen D.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2013
卷: 26, 期: 6 起始页码: 1956
结束页码: 1972
语种: 英语
Scopus关键词: Atmospheric circulation
; Community atmosphere model
; Northern Hemispheres
; Preliminary studies
; Sea ice extent
; Snow-albedo feedbacks
; Surface air temperatures
; Systematic bias
; Atmospheric temperature
; Climatology
; Sea ice
; Solar radiation
; Snow
; air temperature
; anomaly
; atmospheric circulation
; atmospheric general circulation model
; climate conditions
; ensemble forecasting
; hindcasting
; Northern Hemisphere
; sea ice
; snow
; surface temperature
英文摘要: The present study examines the impacts of snow initialization on surface air temperature by a number of ensemble seasonal predictability experiments using the NCAR Community Atmosphere Model version 3 (CAM3) AGCM with and without snow initialization. The study attempts to isolate snow signals on surface air temperature. In this preliminary study, any effects of variations in sea ice extent are ignored and do not explicitly identify possible impacts on atmospheric circulation. The Canadian Meteorological Center (CMC) daily snow depth analysis was used in defining initial snow states, where anomaly rescaling was applied in order to account for the systematic bias of theCAM3snow depth with respect to theCMCanalysis. Two suites of seasonal (3 months long) ensemble hindcasts starting at each month in the colder part of the year (September-April) with and without the snow initialization were performed for 12 recent years (1999- 2010), and the predictability skill of surface air temperature was estimated. Results show that considerable potential predictability increases up to 2 months ahead can be attained using snow initialization. Relatively large increases are found over EastAsia, westernRussia, and western Canada in the later part of this period. It is suggested that the predictability increases are sensitive to the strength of snow-albedo feedback determined by given local climate conditions; large gains tend to exist over the regions of strong snow-albedo feedback. Implications of these results for seasonal predictability over the extratropical Northern Hemisphere and future direction for this research are discussed. © 2013 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/51948
Appears in Collections: 气候变化事实与影响
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作者单位: Faculty of Earth Systems and Environmental Sciences, Chonnam National University, Gwangju, South Korea; Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden; Korea Institute of Ocean Science and Technology, Ansan, and School of Earth and Environmental Sciences, Seoul National University, Seoul, South Korea; Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden; Met Office Hadley Centre, Exeter, United Kingdom; Korea Polar Research Institute, Incheon, South Korea
Recommended Citation:
Jeong J.-H.,Linderholm H.W.,Woo S.-H.,et al. Impacts of snow initialization on subseasonal forecasts of surface air temperature for the cold season[J]. Journal of Climate,2013-01-01,26(6)