globalchange  > 气候减缓与适应
DOI: 10.1175/JCLI-D-17-0377.1
Scopus记录号: 2-s2.0-85040544532
论文题名:
Which temperature and precipitation extremes best explain the variation of warm versus cold years and wet versus dry years?
作者: Ye J.-S.; Gong Y.-H.; Zhang F.; Ren J.; Bai X.-K.; Zheng Y.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2018
卷: 31, 期:1
起始页码: 45
结束页码: 59
语种: 英语
英文关键词: Atmosphere ; Climate records ; Climate variability ; Experimental design ; Land surface ; Statistical techniques
Scopus关键词: Climate models ; Design of experiments ; Earth atmosphere ; Annual precipitation ; Climate record ; Climate variability ; Extreme temperatures ; Land surface ; Precipitation extremes ; Similarity percentage analysis ; Statistical techniques ; Climate change ; air temperature ; climate change ; climate modeling ; climate variation ; experimental design ; extreme event ; land surface ; precipitation (climatology) ; statistical analysis
英文摘要: Intensifying climate extremes are one of the major concerns with climate change. Using 100-yr (1911-2010) daily temperature and precipitation records worldwide, 28 indices of extreme temperature and precipitation are calculated. A similarity percentage analysis is used to identify the key indices for distinguishing how extreme warm and cold years (annual temperature above the 90th and below the 10th percentile of the 100-yr distribution, respectively) differ from one another and from average years, and how extreme wet and dry years (annual precipitation above the 90th and below the 10th percentile of the 100-yr distribution, respectively) differ from each other and from average years. The analysis suggests that extreme warm years are primarily distinguished from average and extreme cold years by higher occurrence of warm nights (annual counts when night temperature > 90th percentile), which occur about six more counts in extreme warm years compared with average years. Extreme wet years are mainly distinguished from average and extreme dry years by more occurrences of heavy precipitation events (events with ≥10 mm and ≥20 mm precipitation). Compared with average years, heavy events occur 60% more in extreme wet years and 50% less in extreme dry years. These indices consistently differ between extreme and average years across terrestrial ecoregions globally. These key indices need to be considered when analyzing climate model projections and designing climate change experiments that focus on ecosystem response to climate extremes. © 2018 American Meteorological Society.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/111721
Appears in Collections:气候减缓与适应

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作者单位: State Key Laboratory of Grassland Agro-Ecosystems, School of Life Sciences, Lanzhou University, Lanzhou, China; Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, Lanzhou University, Lanzhou, China

Recommended Citation:
Ye J.-S.,Gong Y.-H.,Zhang F.,et al. Which temperature and precipitation extremes best explain the variation of warm versus cold years and wet versus dry years?[J]. Journal of Climate,2018-01-01,31(1)
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