Identifying hotspots cities vulnerable to climate change in Pakistan underCMIP5climate projections

被引:33
作者
Ali, Shaukat [1 ,2 ]
Kiani, Rida S. [1 ]
Reboita, Michelle S. [2 ,3 ]
Dan, Li [4 ]
Eum, Hyung-Il [5 ]
Cho, Jaepil [6 ]
Dairaku, K. [7 ]
Khan, Firdos [8 ]
Shreshta, Madan L. [9 ]
机构
[1] Minist Climate Change, Global Change Impact Study Ctr, Islamabad, Pakistan
[2] Abdus Salam Int Ctr Theoret Phys, Earth Syst Phys, Trieste, Italy
[3] Univ Fed Itajuba, Inst Recursos Nat, Av BPS 1303, BR-37500903 Itajuba, MG, Brazil
[4] Chinese Acad Sci, Inst Atmospher Phys IAP, Beijing, Peoples R China
[5] Alberta Environm & Pk, Resource Stewardship Div, Edmonton, AB, Canada
[6] Integrated Watershed Management Inst, Suwon, South Korea
[7] Natl Res Inst Earth Sci & Disaster Prevent, Disaster Prevent Res Grp, Tsukuba, Ibaraki, Japan
[8] Natl Univ Sci & Technol NUST, Sch Nat Sci SNS, H-12 Sect, Islamabad 44000, Pakistan
[9] Nepal Acad Sci & Technol Kathmandu, Kathmandu, Nepal
基金
中国国家自然科学基金;
关键词
climate change; hotspot cities; Pakistan; projection uncertainties; statistical downscaling; STATISTICAL DOWNSCALING METHODS; CMIP5 MULTIMODEL ENSEMBLE; ASIAN SUMMER MONSOON; TIBETAN PLATEAU; RIVER-BASIN; PRECIPITATION; MODELS; FUTURE; SIMULATIONS; IMPACTS;
D O I
10.1002/joc.6638
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
In this study, an ensemble of statistically downscaled 14 multi-global climate models for RCP4.5 and RCP8.5 emission scenarios was employed to implement a comprehensive assessment of climate change impacts over Pakistan in order to identify the future hotspots cities in terms of changes in temperature and precipitation. The analyses focused on the minimum, maximum and average temperature and precipitation in three time-slices: 2006-2035, 2041-2070, and 2071-2,100. Average temperature is projected to increase by 2.6 degrees C under RCP4.5 while 5.1 degrees C under RCP8.5 by the end of this century with the north side of Pakistan (mainly over North Pakistan-NP, Monsoon Region-MR and Khyber Pakhtunkhwa-KP) presenting the highest changes in the temperatures. Wetter conditions are expected in the future over Pakistan, mainly over the MR. In general, air temperature and precipitation showed linear positive correlation over Pakistan in both RCP scenarios. Hotspot cities where extreme climate, that is, the hottest, dryer and wetter, exists were also identified. Hyderabad will likely become the hottest city of Pakistan by end century with the highest average temperature reaching 29.9 degrees C under RCP4.5 and 32.0 degrees C under RCP8.5 followed by Jacobabad, Bahawalnagar, and Bahawalpur. Most of the hottest cities are detected in areas on the southern side of Pakistan. On the other hand, the wettest cities, Murree, Balakot and Muzaffarabad, are located in the MR. Dry conditions are likely to be prevalent in Dalbandin followed by Khanpur and Jacobabad under both RCPs. The uncertainties of the projections were also evaluated. For precipitation, for example, there are a large number of outliers indicating the high variability/uncertainties of the projections. These uncertainties are clearer when the probability density functions are analysed for individual sub-domains in Pakistan.
引用
收藏
页码:559 / 581
页数:23
相关论文
共 75 条
[1]   Quantification the impacts of climate change and crop management on phenology of maize-based cropping system in Punjab, Pakistan [J].
Abbas, Ghulam ;
Ahmad, Shakeel ;
Ahmad, Ashfaq ;
Nasim, Wajid ;
Fatima, Zartash ;
Hussain, Sajjad ;
Rehman, Muhammad Habib Ur ;
Khan, Muhammad Azam ;
Hasanuzzaman, Mirza ;
Fahad, Shah ;
Boote, Kenneth J. ;
Hoogenboom, Gerrit .
AGRICULTURAL AND FOREST METEOROLOGY, 2017, 247 :42-55
[2]   Shifting of agro-climatic zones, their drought vulnerability, and precipitation and temperature trends in Pakistan [J].
Adnan, Shahzada ;
Ullah, Kalim ;
Gao, Shouting ;
Khosa, Ashfaq H. ;
Wang, Ziqian .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2017, 37 :529-543
[3]  
Ali S., 2016, J. Eng. Appl. Sci, V35, P61
[4]   Spatio-Temporal Variability of Summer Monsoon Onset over Pakistan [J].
Ali, Shaukat ;
Khalid, Bushra ;
Kiani, Rida Sehar ;
Babar, Romaisa ;
Nasir, Sana ;
Rehman, Nadia ;
Adnan, Muhammad ;
Goheer, Muhammad Arif .
ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES, 2020, 56 (01) :147-172
[5]   Assessment of climate extremes in future projections downscaled by multiple statistical downscaling methods over Pakistan [J].
Ali, Shaukat ;
Eum, Hyung-Il ;
Cho, Jaepil ;
Dan, Li ;
Khan, Firdos ;
Dairaku, K. ;
Shrestha, Madan Lall ;
Hwang, Syewoon ;
Nasim, Wajid ;
Khan, Imtiaz Ali ;
Fahad, Shah .
ATMOSPHERIC RESEARCH, 2019, 222 :114-133
[6]   Twenty first century climatic and hydrological changes over Upper Indus Basin of Himalayan region of Pakistan [J].
Ali, Shaukat ;
Dan Li ;
Fu Congbin ;
Khan, Firdos .
ENVIRONMENTAL RESEARCH LETTERS, 2015, 10 (01)
[7]   The state of the art and fundamental aspects of regional climate modeling in South America [J].
Ambrizzi, Tercio ;
Reboita, Michelle Simoes ;
da Rocha, Rosmeri Porfirio ;
Llopart, Marta .
ANNALS OF THE NEW YORK ACADEMY OF SCIENCES, 2019, 1436 (01) :98-120
[8]   Regional climate assessment of precipitation and temperature in Southern Punjab (Pakistan) using SimCLIM climate model for different temporal scales [J].
Amin, Asad ;
Nasim, Wajid ;
Mubeen, Muhammad ;
Sarwar, Saleem ;
Urich, Peter ;
Ahmad, Ashfaq ;
Wajid, Aftab ;
Khaliq, Tasneem ;
Rasul, Fahd ;
Hammad, Hafiz Mohkum ;
Rehmani, Muhammad Ishaq Asif ;
Mubarak, Hussani ;
Mirza, Nosheen ;
Wahid, Abdul ;
Ahamd, Shakeel ;
Fahad, Shah ;
Ullah, Abid ;
Khan, Mohammad Nauman ;
Ameen, Asif ;
Amanullah ;
Shahzad, Babar ;
Saud, Shah ;
Alharby, Hesham ;
Ata-Ul-Karim, Syed Tahir ;
Adnan, Muhammad ;
Islam, Faisal ;
Ali, Qazi Shoaib .
THEORETICAL AND APPLIED CLIMATOLOGY, 2018, 131 (1-2) :121-131
[9]   Comparison of future and base precipitation anomalies by SimCLIM statistical projection through ensemble approach in Pakistan [J].
Amin, Asad ;
Nasim, Wajid ;
Mubeen, Muhammad ;
Kazmi, Dildar Hussain ;
Lin, Zhaohui ;
Wahid, Abdul ;
Sultana, Syeda Refat ;
Gibbs, Jim ;
Fahad, Shah .
ATMOSPHERIC RESEARCH, 2017, 194 :214-225
[10]   Sources of errors in the simulation of south Asian summer monsoon in the CMIP5 GCMs [J].
Ashfaq, Moetasim ;
Rastogi, Deeksha ;
Mei, Rui ;
Touma, Danielle ;
Leung, L. Ruby .
CLIMATE DYNAMICS, 2017, 49 (1-2) :193-223