Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/JCLI-D-17-0377.1 |
Which Temperature and Precipitation Extremes Best Explain the Variation of Warm versus Cold Years and Wet versus Dry Years? | |
Ye, Jian-Sheng1; Gong, Yan-Hong; Zhang, Feng; Ren, Jiao; Bai, Xiao-Ke; Zheng, Yang | |
2018 | |
发表期刊 | JOURNAL OF CLIMATE |
ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2018 |
卷号 | 31期号:1页码:45-59 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
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. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000429528800003 |
WOS关键词 | CLIMATE EXTREMES ; AIR-TEMPERATURE ; INDEXES ; VARIABILITY ; 20TH-CENTURY ; INCREASE ; REGIMES |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/19545 |
专题 | 气候变化 |
作者单位 | 1.Lanzhou Univ, State Key Lab Grassland Agroecosyst, Sch Life Sci, Lanzhou, Gansu, Peoples R China; 2.Lanzhou Univ, Minist Educ, Key Lab Semiarid Climate Change, Lanzhou, Gansu, Peoples R China |
推荐引用方式 GB/T 7714 | Ye, Jian-Sheng,Gong, Yan-Hong,Zhang, Feng,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,2018,31(1):45-59. |
APA | Ye, Jian-Sheng,Gong, Yan-Hong,Zhang, Feng,Ren, Jiao,Bai, Xiao-Ke,&Zheng, Yang.(2018).Which Temperature and Precipitation Extremes Best Explain the Variation of Warm versus Cold Years and Wet versus Dry Years?.JOURNAL OF CLIMATE,31(1),45-59. |
MLA | Ye, Jian-Sheng,et al."Which Temperature and Precipitation Extremes Best Explain the Variation of Warm versus Cold Years and Wet versus Dry Years?".JOURNAL OF CLIMATE 31.1(2018):45-59. |
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