Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.atmosres.2018.12.033 |
Statistical analyses of spatial and temporal variabilities in total, daytime, and nighttime precipitation indices and of extreme dry/wet association with large-scale circulations of Southwest China, 1961-2016 | |
Cheng, Qingping1,2; Gao, Lu3,4,5; Zuo, Xiaoan1,2; Zhong, Fanglei1,2 | |
2019-05-01 | |
发表期刊 | ATMOSPHERIC RESEARCH |
ISSN | 0169-8095 |
EISSN | 1873-2895 |
出版年 | 2019 |
卷号 | 219页码:166-182 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
英文摘要 | The spatial and temporal variabilities of total precipitation (TP), daytime precipitation (DP), nighttime precipitation (NP), and their corresponding extremes in Southwest China (SWC) were investigated based on daily precipitation records from 112 meteorological stations obtained during 1961-2016. The standardized precipitation index was used to analyze extreme dry/wet events, and correlations with climate indices were detected using cross-wavelet analysis. The results indicated that on annual and seasonal scales, the majority of meteorological station records displayed downward trends for TP, DP, and NP (except in spring), which were particularly evident in autumn. Spatially, on both annual and seasonal timescales, higher values of TP and NP were found in southwestern parts of the Hengduan Mountains (HDM), southern and eastern parts of the Yunnan-Guizhou Plateau (YGP), and in southwestern and southeastern areas of the Sichuan Basin (SCB). The occurrences of dry/wet events in SWC were found correlated particularly well with ENSO. Furthermore, extreme dry/wet events were found to occur during El Nino and La Nina years, whereas the frequency of extreme dry events was found higher than extreme wet events during both El Nino and La Nina years since 2001. The findings of this study suggest that TP (TPd), DP (DPd), and NP (NPd) all showed decreasing trends, while extreme precipitation showed an increasing trend, indicating that both the intensity and the concentration of precipitation are increasing. Therefore, the risks of heavy precipitation and flooding are likely to increase in SWC, particularly in the SCB and that extreme events might be strengthened in certain seasons. |
英文关键词 | Extreme precipitation Daytime and nighttime precipitation Large-scale circulation Southwest China |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000457948900014 |
WOS关键词 | ASIAN SUMMER MONSOON ; DIURNAL-VARIATIONS ; RIVER-BASIN ; SATELLITE-OBSERVATIONS ; HENGDUAN MOUNTAINS ; TIBETAN PLATEAU ; OBSERVED TRENDS ; ARID REGION ; DRY SEASON ; TEMPERATURE |
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/182567 |
专题 | 地球科学 |
作者单位 | 1.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources Res, Lanzhou 730000, Gansu, Peoples R China; 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 3.Fujian Normal Univ, Inst Geog, Fuzhou 350007, Fujian, Peoples R China; 4.Fujian Normal Univ, Fujian Prov Engn Res Ctr Monitoring & Assessing T, Fuzhou 350007, Fujian, Peoples R China; 5.Fujian Normal Univ, State Key Lab Subtrop Mt Ecol Funded Minist Sci &, Fuzhou 350007, Fujian, Peoples R China |
推荐引用方式 GB/T 7714 | Cheng, Qingping,Gao, Lu,Zuo, Xiaoan,et al. Statistical analyses of spatial and temporal variabilities in total, daytime, and nighttime precipitation indices and of extreme dry/wet association with large-scale circulations of Southwest China, 1961-2016[J]. ATMOSPHERIC RESEARCH,2019,219:166-182. |
APA | Cheng, Qingping,Gao, Lu,Zuo, Xiaoan,&Zhong, Fanglei.(2019).Statistical analyses of spatial and temporal variabilities in total, daytime, and nighttime precipitation indices and of extreme dry/wet association with large-scale circulations of Southwest China, 1961-2016.ATMOSPHERIC RESEARCH,219,166-182. |
MLA | Cheng, Qingping,et al."Statistical analyses of spatial and temporal variabilities in total, daytime, and nighttime precipitation indices and of extreme dry/wet association with large-scale circulations of Southwest China, 1961-2016".ATMOSPHERIC RESEARCH 219(2019):166-182. |
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