Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.scitotenv.2018.10.126 |
Impacts of 1.5 degrees C and 2 degrees C global warming on winter snow depth in Central Asia | |
Li, Yun1,2; Tao, Hui1; Su, Buda3,5; Kundzewicz, Zbigniew W.3,4; Jiang, Tong3 | |
通讯作者 | Tao, Hui |
来源期刊 | SCIENCE OF THE TOTAL ENVIRONMENT
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ISSN | 0048-9697 |
EISSN | 1879-1026 |
出版年 | 2019 |
卷号 | 651页码:2866-2873 |
英文摘要 | Snow depth plays an essential role in the water and energy balance of the land surface. It is of special importance in arid and semi-arid regions of Central Asia. Owing to the limited availability of field observations the spatial and temporal variations of snow depth are still poorly known. Using the Japanese 55-year (JRA-55) and the ERA - Interim reanalysis snow depth products we considered four global climate models (GCMs) applied in the Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP) examining how they represent snow depth in Central Asia during the period 1986-2005 in terms of spatial and temporal characteristics. We also investigated changes of winter (January-March) snow depth in Central Asia, at 1.5 degrees C and 2 degrees C global warming levels. Finally the joint probabilistic behavior of winter temperature and precipitation at 1.5 degrees C and 2 degrees C global warming are investigated using the kernel density estimator (KDE). The result shows that the snow depth climatology of Central Asia is generally well simulated in both spatial pattern and temporal (inter-annual and inter-seasonal) pattern. All models approximately simulate the winter maximum and the summer minimum values of snow depth but lend to overestimate the amplitude during October-December. Only the trend in HadGEM2-ES matches fairly well to the JRA-55 reanalysis snow depth. When comparing the projections of spatial distribution of winter snow depth distinctive spatial pattern is noted at both 1.5 degrees C and 2 degrees C global warming levels when the snow depth is shown to increase in northeastern and to decrease in midwestern regions of Central Asia. According to the joint probability distributions of precipitation and temperature Central Asia will tend to experience a warmer and wetter winter at both 1.5 degrees C and 2 degrees C global warming levels which can be associated with an increase in snow depth in the northeastern regions. (C) 2018 Elsevier B.V. All rights reserved. |
英文关键词 | Winter snow depth Central Asia Global warming JRA-55 reanalysis ISI-MIP |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China ; Poland |
收录类别 | SCI-E |
WOS记录号 | WOS:000450551600114 |
WOS关键词 | CLIMATE-CHANGE ; ATMOSPHERIC CIRCULATION ; COVER CHARACTERISTICS ; WATER EQUIVALENT ; NORTHERN EURASIA ; MODEL ; PRECIPITATION ; VARIABILITY ; SIMULATIONS ; PERFORMANCE |
WOS类目 | Environmental Sciences |
WOS研究方向 | Environmental Sciences & Ecology |
来源机构 | 中国科学院新疆生态与地理研究所 ; 新疆大学 ; 南京信息工程大学 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/218608 |
作者单位 | 1.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China; 2.Xinjiang Univ, Coll Resource & Environm Sci, Urumqi 830046, Xinjiang, Peoples R China; 3.Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, iDRM, Sch Geog Sci, Nanjing 210044, Jiangsu, Peoples R China; 4.Polish Acad Sci, Inst Agr & Forest Environm, Poznan, Poland; 5.China Meteorol Adm, Natl Climate Ctr, Beijing 100081, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Yun,Tao, Hui,Su, Buda,et al. Impacts of 1.5 degrees C and 2 degrees C global warming on winter snow depth in Central Asia[J]. 中国科学院新疆生态与地理研究所, 新疆大学, 南京信息工程大学,2019,651:2866-2873. |
APA | Li, Yun,Tao, Hui,Su, Buda,Kundzewicz, Zbigniew W.,&Jiang, Tong.(2019).Impacts of 1.5 degrees C and 2 degrees C global warming on winter snow depth in Central Asia.SCIENCE OF THE TOTAL ENVIRONMENT,651,2866-2873. |
MLA | Li, Yun,et al."Impacts of 1.5 degrees C and 2 degrees C global warming on winter snow depth in Central Asia".SCIENCE OF THE TOTAL ENVIRONMENT 651(2019):2866-2873. |
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