Characteristics of Winter Precipitation over Pakistan and Possible Causes during 1981–2018

Author:

Abbas Adnan1,Ullah Safi23ORCID,Ullah Waheed4ORCID,Zhao Chengyi1,Karim Aisha5,Waseem Muhammad6ORCID,Bhatti Asher Samuel7,Ali Gohar8ORCID,Jan Mushtaq Ahmad9,Ali Amjad9

Affiliation:

1. Land Science Research Center, Nanjing University of Information Science & Technology, Nanjing 210044, China

2. Environmental Science and Engineering Program, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955, Saudi Arabia

3. Climate and Livability Initiative (CLI), King Abdullah University of Science and Technology (KAUST), Thuwal 23955, Saudi Arabia

4. Defense and Security, Rabdan Academy, Abu Dhabi 1144646, United Arab Emirates

5. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC–FEMD), School of Geographical Sciences, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China

6. Center of Excellence in Water Resources, University of Engineering and Technology, Lahore 54890, Pakistan

7. Department of Geology, Bacha Khan University Charsadda, P.O. Box 20, Charsadda 24420, Pakistan

8. Pakistan Meteorological Department, Sector H-8/2, Islamabad 44000, Pakistan

9. Centre for Disaster Preparedness and Management, University of Peshawar, Peshawar 25000, Pakistan

Abstract

Winter (December to March) precipitation is the major source of rainfed agriculture, storage, and perennial water flow in the western river system of Pakistan. Hence, this study uses precipitation data and variables of land–ocean and atmosphere from the Pakistan Meteorological Department and European Centre for Medium-Range Weather Forecasts (ECMWF) and fifth-generation reanalysis data (ERA5), respectively, to investigate the changes in winter precipitation and its sensitivity to different land–ocean and atmosphere variables, which are rarely investigated in Pakistan. Non-parametric techniques, such as the modified Mann–Kendal, Sen slope, kernel density-based probability function (PDF), empirical orthogonal function (EOF), and correlation analysis, were used to assess the changes and modes of variability in winter precipitation. The overall seasonal precipitation showed a significant decreasing trend with a (−0.1 mm d−1 yr−1) in the seasonal mean and monthly precipitation, except in February which showed a significant increase (>0.11 mm d−1 yr−1). The highest decrease in daily precipitation (<−0.1 mm d−1 yr−1) was in the north, with a moderate decrease in the southeast. The extreme precipitation indices exhibited an erratic decreasing tendency, but the maximum daily precipitation index increased; post-2000 precipitation extremes displayed an increase, and the seasonal and monthly precipitation exhibited the highest deviations during the drought period (1995–2000). The leading precipitation mode (EOF1) is sensitive to the local land surface processes and significantly correlated (>0.60) with the central Pacific and Indian Ocean’s basin-wide sea surface temperature, corroborating the influence of ENSO-induced meridional/zonal deviation of Hadley–Walker circulations. The Hadley and Walker cells affect the south-westerlies’ jet stream strength, impacting the water vapor transport and precipitation over Pakistan. These changes in the precipitation magnitude will affect rain-fed agriculture, especially the Rabi cropping pattern and perennial river flow.

Funder

Chinese National Natural Science Foundation

Innovative and Entrepreneurial Talent Program of Jiangsu Province

Strategic Priority Research Program of the Chinese Academy of Sciences

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

Reference89 articles.

1. Eckstein, D., and Kreft, S. (2020). Global Climate Risk Index 2021. Who Suffers Most from Extreme Weather Events?, Germanwatch.

2. Observed Changes in Precipitation in China-Pakistan Economic Corridor during 1980–2016;Ullah;Atmos. Res.,2018

3. Comparison of Future and Base Precipitation Anomalies by SimCLIM Statistical Projection through Ensemble Approach in Pakistan;Amin;Atmos. Res.,2017

4. Were the 2010 Pakistan Floods Predictable?;Webster;Geophys. Res. Lett.,2011

5. Multiscale Analysis of Three Consecutive Years of Anomalous Flooding in Pakistan;Rasmussen;Q. J. R. Meteorol. Soc.,2015

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