Title: Assessment of climate extremes from historical data (1960-2013) of Soan River Basin in Pakistan

Authors: Filza Fatima Rizvi; Bashir Ahmed; Saddam Hussain; Asif Khan; Mohsin Raza; Munir Shahid

Addresses: Climate, Energy and Water Resources Institute (CEWRI), National Agricultural Research Centre (NARC), PARC, Islamabad, 46000, Pakistan ' Climate, Energy and Water Resources Institute (CEWRI), National Agricultural Research Centre (NARC), PARC, Islamabad, 46000, Pakistan ' Department of Irrigation and Drainage, University of Agriculture, Faisalabad, 38000, Pakistan ' University of Engineering and Technology, Peshawar, 25000, Pakistan ' Bahria University, Islamabad, 46000, Pakistan ' Pakistan Agricultural Research Council (PARC), Islamabad, 46000, Pakistan

Abstract: Climate change affects every aspect of life globally. This study presents an analysis of long-term historical climate data (1960-2013) of four stations (Islamabad, Murree, Jhelum, and Mianwali) located in the Soan River Basin of Pakistan. Climate extreme analysis has been done, using four temperature and five rainfall indices. Temperature extremes (FDO, SU25, Tmax. mean, Tmin. mean) showed a positive trend in all stations except the trend of FDO Islamabad and Jhelum station. Likewise, a negative trend has been observed in Tmin. mean of Murree and Tmax. mean of Mianwali station. In addition, rainfall extremes (CDD, CWD, PCRPTOT, R10 mm, R20 mm) showed a positive trend in all stations except the trend of CDD Islamabad, PCRPTOT Jhelum, CWD, and CDD in Murree station. It's important to analyse the climate extremes before the climate change adaptations and invention of advanced climate-smart technologies.

Keywords: climate variability; climate extremes; climate change impact; agriculture; non-parametric techniques; Pakistan.

DOI: 10.1504/IJGW.2021.117431

International Journal of Global Warming, 2021 Vol.25 No.1, pp.1 - 37

Received: 24 Apr 2020
Accepted: 14 Nov 2020

Published online: 06 Sep 2021 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article