Inter-Research > CR > v77 > n3 > p249-265  
Climate Research

via Mailchimp

CR 77:249-265 (2019)  -  DOI:

Characterising spatiotemporal variability of South Asia’s climate extremes in past decades

Yun Chen1,*, Tingbao Xu2, Junfeng Shui3, Rui Liu4, Shahriar Wahid1, Kaifang Shi5, Haichang Yang6, Zhibo Cheng6

1CSIRO Land and Water, Canberra, ACT 2601, Australia
2Australian National University, Canberra, ACT 0200, Australia
3Northwest A&F University, Shaanxi 712100, PR China
4Capital Normal University, Beijing 100048, PR China
5Southwest University, Chongqing 400715, PR China
6Shihezi University, Xinjiang 832003, PR China
*Corresponding author:

ABSTRACT: 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.

KEY WORDS: Climate variables · Indices of extreme conditions · Gridded daily climate data · Change trend

Full text in pdf format 
Cite this article as: Chen Y, Xu T, Shui J, Liu R and others (2019) Characterising spatiotemporal variability of South Asia’s climate extremes in past decades. Clim Res 77:249-265.

Export citation
Mail this link - Contents Mailing Lists - RSS
Facebook - - linkedIn