Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/joc.4794 |
Precipitation trends and teleconnections identified using quantile regressions over Xinjiang, China | |
Tan, Xuezhi1,2; Shao, Dongguo1 | |
2017-03-15 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY |
ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2017 |
卷号 | 37期号:3 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; Canada |
英文摘要 | Precipitation in Xinjiang, China, was modelled with covariates, such as time and climate indices, using quantile regressions. Compared to a frequentist quantile regression, a Bayesian quantile regression tended to generate smoother and narrower band confidence intervals of quantile regression coefficients, especially at extremely high and low quantile levels. A full picture of temporal trends at quantile levels from 0.01 to 0.99 indicates that the wet season (May to August) precipitation in Northern Xinjiang and the western regions of Southern Xinjiang showed statistically significant increases with different magnitudes over all quantile levels. However, the wet season precipitation in South-eastern Xinjiang decreased at some quantile levels. The Eastern Atlantic/Western Russia (EAWR) pattern was the most significant large-scale climate pattern that influenced wet season precipitation when compared to other studied patterns, i.e. the El Nino-Southern Oscillation (ENSO), the Atlantic Multidecadal Oscillation (AMO), the Pacific Decadal Oscillation (PDO), the Northern Oscillation (NO), the Arctic Oscillation (AO) and the North Atlantic Oscillation (NAO). The quantile regression coefficients associated with the EAWR index positively increased from low to high quantile levels. The ENSO significantly affected the extremely high wet season precipitation in Xinjiang. El Nino increased and La Nina decreased wet season precipitation in Northern Xinjiang, with different magnitudes at different quantile levels. Other climate patterns, i.e. the AMO, PDO, NO, NAO and AO, did not evidently affect the wet season precipitation conditional on the ENSO and EAWR. These findings suggest that the predictability of seasonal precipitation over Xinjiang can be improved by incorporating indices associated with the ENSO and EAWR as model predictors. |
英文关键词 | quantile regressions distribution changes teleconnections precipitation Xinjiang |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000395349500028 |
WOS关键词 | NORTH-ATLANTIC OSCILLATION ; EXTREME PRECIPITATION ; CLIMATE-CHANGE ; CIRCUMGLOBAL TELECONNECTION ; SUMMER RAINFALL ; RIVER-BASIN ; EVENTS ; TEMPERATURE ; VARIABILITY ; FREQUENCY |
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/37490 |
专题 | 气候变化 |
作者单位 | 1.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan, Peoples R China; 2.Univ Alberta, Dept Civil & Environm Engn, 7-203 Donadeo Innovat Ctr Engn,9211-116 St NW, Edmonton, AB T6G 1H9, Canada |
推荐引用方式 GB/T 7714 | Tan, Xuezhi,Shao, Dongguo. Precipitation trends and teleconnections identified using quantile regressions over Xinjiang, China[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2017,37(3). |
APA | Tan, Xuezhi,&Shao, Dongguo.(2017).Precipitation trends and teleconnections identified using quantile regressions over Xinjiang, China.INTERNATIONAL JOURNAL OF CLIMATOLOGY,37(3). |
MLA | Tan, Xuezhi,et al."Precipitation trends and teleconnections identified using quantile regressions over Xinjiang, China".INTERNATIONAL JOURNAL OF CLIMATOLOGY 37.3(2017). |
条目包含的文件 | 条目无相关文件。 |
个性服务 |
推荐该条目 |
保存到收藏夹 |
查看访问统计 |
导出为Endnote文件 |
谷歌学术 |
谷歌学术中相似的文章 |
[Tan, Xuezhi]的文章 |
[Shao, Dongguo]的文章 |
百度学术 |
百度学术中相似的文章 |
[Tan, Xuezhi]的文章 |
[Shao, Dongguo]的文章 |
必应学术 |
必应学术中相似的文章 |
[Tan, Xuezhi]的文章 |
[Shao, Dongguo]的文章 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论