气候变化领域集成服务门户(CCPortal): Characterising spatiotemporal variability of South Asia’s climate extremes in past decades

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DOI	10.3354/cr01554
	Characterising spatiotemporal variability of South Asia’s climate extremes in past decades
	Chen Y.; Xu T.; Shui J.; Liu R.; Wahid S.; Shi K.; Yang H.; Cheng Z.
发表日期	2019
ISSN	0936-577X
起始页码	249
结束页码	265
卷号	77 期号:3
英文摘要	We systematically examined past spatiotemporal changes in climate variability to gain some cross-regional insights into South Asia’s vulnerability to extreme conditions. Gridded Asian Precipitation-Highly-Resolved Observational Data Integration Towards Evaluation (APHRODITE) precipitation and Princeton Global Meteorological Forcing Dataset (PRINCETON) temperature data from 1975−2004 were used to derive a suite of annual extreme indices. Long-term mean and decadal variations of these indices were mapped. Long-term change tendencies were also detected from a suite of ‘slope’ maps composed by the 30 yr change trend at each grid cell in the region. Most precipitation indices indicated a tendency towards drier conditions, whereas all temperature indices marked a steady coherent warming trend. The extremely wet day precipitation index exhibited the largest change, indicating an increase in heavy precipitation in South Asia. The highest maximum temperature extreme showed increases, indicating more unbearable heatwaves in the region. These trends present a previously unrecognised regional picture of the patterns and trends in historical climate extremes, with each grid cell representing spatiotemporal characteristics of changes. The present study is superior to most studies that only summarise an averaged regional trend from tendencies over large areas, and therefore will improve trans-boundary understanding of extreme climates in South Asia. Our study also exemplifies the application of existing gridded regional/global data sets. It provides valuable means of cross-regional information for bridging gaps where gauging observations are unavailable, particularly in data-poor developing countries. © Inter-Research 2019.
英文关键词	Change trend; Climate variables; Gridded daily climate data; Indices of extreme conditions
语种	英语
scopus关键词	climate change; data set; decadal variation; developing world; heat wave; high temperature; precipitation (climatology); spatiotemporal analysis; trend analysis; vulnerability; warming; South Asia
来源期刊	Climate Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/146901
作者单位	CSIRO Land and Water, Canberra, ACT 2601, Australia; Australian National University, Canberra, ACT 0200, Australia; Northwest A and F University, Shaanxi, 712100, China; Capital Normal University, Beijing, 100048, China; Southwest University, Chongqing, 400715, China; Shihezi University, Xinjiang, 832003, China
推荐引用方式 GB/T 7714	Chen Y.,Xu T.,Shui J.,等. Characterising spatiotemporal variability of South Asia’s climate extremes in past decades[J],2019,77(3).
APA	Chen Y..,Xu T..,Shui J..,Liu R..,Wahid S..,...&Cheng Z..(2019).Characterising spatiotemporal variability of South Asia’s climate extremes in past decades.Climate Research,77(3).
MLA	Chen Y.,et al."Characterising spatiotemporal variability of South Asia’s climate extremes in past decades".Climate Research 77.3(2019).