Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1007/s10584-018-2225-z |
Diversity in global patterns of observed precipitation variability and change on river basin scales A conditional quantile approach | |
Lausier, Anne M.; Jain, Shaleen | |
2018-07-01 | |
发表期刊 | CLIMATIC CHANGE |
ISSN | 0165-0009 |
EISSN | 1573-1480 |
出版年 | 2018 |
卷号 | 149期号:2页码:261-275 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Comprehensive characterization of diversity in global patterns of precipitation variability and change is an important starting point for climate adaptation and resilience assessments. Capturing the nature of precipitation probability distribution functions (PDF) is critical for assessing variability and change. Conventional linear regression-based analyses assume that slope coefficients for the wet and dry tails of the PDF are consonant with the conditional mean trend. This assumption is not always borne out in the analyses of historical records. Given the relationship between sea surface temperature (SST) and precipitation, recent trends in global SST complicate interpretations of precipitation variability and risk. In this study, changes in the PDF of annual precipitation (1951-2011) at the global river basin scale were analyzed using quantile regression (QR). QR is a flexible approach allowing for the assessment of precipitation variability conditioned on the leading empirical orthogonal function (EOF) patterns of global SST that reflect El Nio-Southern Oscillation and Atlantic Multi-decadal Oscillation. To this end, the framework presented (a) offers a characterization of the entire PDF and its sensitivity to the leading modes of SST variability, (b) captures a range of responses in the PDF including asymmetries, (c) highlights regions likely to experience higher risks of precipitation excesses and deficits and inter-annual variability, and (d) offers an approach for quantifying risk across specified quantiles. Results show asymmetric responses in the PDF in all regions of the world, either in single or both tails. In one instance, QR detects a differential response to the leading patterns of SST in the Tana basin in eastern Africa, highlighting changes in variability as well as risk. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000439940200011 |
WOS关键词 | ATLANTIC MULTIDECADAL OSCILLATION ; SURFACE TEMPERATURE VARIABILITY ; CLIMATE VARIABILITY ; ENSO INFLUENCE ; UNITED-STATES ; LAND AREAS ; FLUCTUATIONS ; AMERICAN ; RAINFALL ; TRENDS |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; 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/29834 |
专题 | 气候变化 |
作者单位 | Univ Maine, Dept Civil & Environm Engn, Orono, ME 04469 USA |
推荐引用方式 GB/T 7714 | Lausier, Anne M.,Jain, Shaleen. Diversity in global patterns of observed precipitation variability and change on river basin scales A conditional quantile approach[J]. CLIMATIC CHANGE,2018,149(2):261-275. |
APA | Lausier, Anne M.,&Jain, Shaleen.(2018).Diversity in global patterns of observed precipitation variability and change on river basin scales A conditional quantile approach.CLIMATIC CHANGE,149(2),261-275. |
MLA | Lausier, Anne M.,et al."Diversity in global patterns of observed precipitation variability and change on river basin scales A conditional quantile approach".CLIMATIC CHANGE 149.2(2018):261-275. |
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