Abstract
The fundamental consequences of global warming include an upsurge in the intensity and frequency of temperature extremes. This study provides an insight into historical trends and projected changes in extreme temperatures on annual and seasonal scales across “Balochistan, Pakistan”. Historical trends are analyzed through the Mann Kendal test, and extreme temperatures (Tmax and Tmin) are evaluated using generalized extreme value (GEV) distribution for historical period (1991–2020) from the observational data and the two projected periods as near-future (2041–2070) and far-future (2071–2100) using a six-member bias-corrected ensemble of regional climate models (RCMs) projections from the coordinate regional downscaling experiment (CORDEX) based on the worst emission scenario (RCP8.5). The evaluation of historical temperature trends suggests that Tmax generally increase on yearly scale and give mixed signals on seasonal scale (winter, spring, summer, and autumn); however, Tmin trends gave mixed signals at both yearly and seasonal scale. Compared to the historical period, the return levels are generally expected to be higher for Tmax and Tmin during the both projection periods in the order as far-future > near-future > historical on yearly and seasonal basis; however, the changes in Tmin are more evident. Station-averaged anomalies of + 1.9 °C and + 3.6 °C were estimated in 100-year return levels for yearly Tmax for near-future and far-future, respectively, while the anomalies in Tmin were found to be + 3.5 °C and + 4.8 °C which suggest the intensified heatwaves but milder colder extreme in future. The findings provide guidance on improved quantification of changing frequencies and severity in temperature extremes and the associated impacts.
Similar content being viewed by others
Code/data availability
Historical data for extreme temperature is obtained from the Pakistan Meteorological Department (PMD). The authors do not have the authority to openly distribute this data. The CORDEX Climate Model data used in the study is freely available at: https://www.euro-cordex.net/
Primary codes for GEV distribution fitting are available at: https://cran.r-project.org/web/packages/ismev/index.html
References
Abbas, F. (2013). Analysis of a historical (1981–2010) temperature record of the Punjab province of Pakistan. Earth Interactions, 17(15), 1–23.
Adnan, S., Ullah, K., & Gao, S. (2015). Characterization of drought and its assessment over Sindh, Pakistan during 1951–2010. Journal of Meteorological Research, 29(5), 837–857.
Ahmed, A., Devadason, E. S., & Al-Amin, A. Q. (2016a). Implications of climate change damage for agriculture: Sectoral evidence from Pakistan. Environmental Science and Pollution Research, 23, 20688–20699.
Ahmed, K., Shahid, S., Harun, Sb., & Wang, X.-j. (2016b). Characterization of seasonal droughts in Balochistan Province, Pakistan. Stochastic Environmental Research and Risk Assessment, 30, 747–762.
Alhaji, U., Yusuf, A., Edet, C., Oche, C. O., & Agbo, E. (2018). Trend analysis of temperature in Gombe state using Mann Kendall trend test. Journal of Scientific Research and Reports, 20(3), 1–9.
Arshad, A., Ashraf, M., Sundari, R. S., Qamar, H., Wajid, M., & Hasan, M.-U. (2020). Vulnerability assessment of urban expansion and modelling green spaces to build heat waves risk resiliency in Karachi. International Journal of Disaster Risk Reduction, 46, 101468.
Ashraf, M., Arshad, A., Patel, P. M., Khan, A., Qamar, H., Siti-Sundari, R., … Babar, J. R. (2021). Quantifying climate-induced drought risk to livelihood and mitigation actions in Balochistan. Natural Hazards, 109, 2127–2151.
Ashraf, M., & Routray, J. K. (2013). Perception and understanding of drought and coping strategies of farming households in north-west Balochistan. International Journal of Disaster Risk Reduction, 5, 49–60.
Aziz, R., & Yucel, I. (2021). Assessing nonstationarity impacts for historical and projected extreme precipitation in Turkey. Theoretical and Applied Climatology, 143, 1213–1226.
Aziz, R., & Yucel, I. (2023). Assessment of changes in return levels of historical and projected high and low flows of upper Euphrates basin in Turkey using nonstationary models. Environmental Monitoring and Assessment, 195(5), 576.
Aziz, R., Yucel, I., & Yozgatligil, C. (2020). Nonstationarity impacts on frequency analysis of yearly and seasonal extreme temperature in Turkey. Atmospheric Research, 238, 104875.
Brown, S. J., Caesar, J. & Ferro, C. A. T. (2008). Global changes in extreme daily temperature since 1950. Journal of Geophysical Research: Atmospheres, 113, D05115. https://doi.org/10.1029/2006JD008091
Cannon, A. J. (2011). GEVcdn: An R package for nonstationary extreme value analysis by generalized extreme value conditional density estimation network. Computers & Geosciences, 37, 1532–1533.
Christianson, K. R., & Johnson, B. M. (2020). Combined effects of early snowmelt and climate warming on mountain lake temperatures and fish energetics. Arctic, Antarctic, and Alpine Research, 52, 130–145.
Cooley, D. (2012). Return periods and return levels under climate change Extremes in a changing climate: Detection, analysis and uncertainty (pp. 97–114). Springer.
Da Silva, R. M., Santos, C. A., Moreira, M., Corte-Real, J., Silva, V. C., & Medeiros, I. C. (2015). Rainfall and river flow trends using Mann-Kendall and Sen’s slope estimator statistical tests in the Cobres River basin. Natural Hazards, 77, 1205–1221.
Del Rio, S., Anjum Iqbal, M., Cano-Ortiz, A., Herrero, L., Hassan, A., & Penas, A. (2013). Recent mean temperature trends in Pakistan and links with teleconnection patterns. International Journal of Climatology, 33(2), 277–290.
Dutta, D., & Bhattacharjya, R. K. (2022). A statistical bias correction technique for global climate model predicted near-surface temperature in India using the generalized regression neural network. Journal of Water and Climate Change, 13(2), 854–871. https://doi.org/10.2166/wcc.2022.214
Fahad, S., & Wang, J. (2018). Farmers’ risk perception, vulnerability, and adaptation to climate change in rural Pakistan. Land Use Policy, 79, 301–309.
Fang, G., Yang, J., Chen, Y., & Zammit, C. (2015). Comparing bias correction methods in downscaling meteorological variables for a hydrologic impact study in an arid area in China. Hydrology and Earth System Sciences, 19(6), 2547–2559.
Flato, G., Marotzke, J., Abiodun, B., Braconnot, P., Chou, SC., Collins, W., Cox, P., Driouech, F., Emori, S., Eyring V., Forest, C., Gleckler, P., Guilyardi, E., Jakob, C., Kattsov, V., Reason, C., Rummukaines, M. (2013). Evaluation of climate models. In Climate change 2013: The physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change.
Fowler, H. J., Lenderink, G., Prein, A. F., Westra, S., Allan, R. P., Ban, N., … Do, H. X. (2021). Anthropogenic intensification of short-duration rainfall extremes. Nature Reviews Earth & Environment, 2(2), 107–122.
Gilleland E., Katz R. (2011) New software to analyze how extremes change over time. EOS, Transactions, American Geophysical Union, 92(2), 13–14.
Gordon, N., Shaykewich, J. (2000). Guidelines on performance assessment of public weather services. WMO/TD No. 1023, 32.
Goubanova, K., & Li, L. (2007). Extremes in temperature and precipitation around the Mediterranean basin in an ensemble of future climate scenario simulations. Global and Planetary Change, 57(1–2), 27–42.
Haider, S., & Ullah, K. (2021). Historical and projected shift in agro-climatic zones and associated variations of daily temperature and precipitation extremes using CORDEX-SA over pakistan. Asia-Pacific Journal of Atmospheric Sciences, 57, 757–771.
Heffernan J., Stephenson A. (2012). ismev: an introduction to statistical modeling of extreme values. R package version 1.39, Original S functions written by Janet E. Heffernan with R port and R documentation provided by Alec G. Stephenson. https://CRAN.Rproject.org/package=ismev
Huang, G. (2021). Missing data filling method based on linear interpolation and lightgbm. Paper presented at the Journal of Physics: Conference Series.
IPCC. (2014). Impacts, adaptation and vulnerability. Part A: global and sectoral aspects. Contribution of working group II to the fifth assessment report of the intergovernmental Panel on Climate Change, 1132.
IPCC. (2022). Climate change 2022: Mitigation of climate change. contribution of working group III to the sixth assessment report of the intergovernmental panel on climate change. https://www.ipcc.ch/report/ar6/wg3/. Accessed 15 May 2023.
Islam, Su., Rehman, N., & Sheikh, M. M. (2009). Future change in the frequency of warm and cold spells over Pakistan simulated by the PRECIS regional climate model. Climatic Change, 94(1–2), 35–45.
Jahangir, M., Ali, S. M., & Khalid, B. (2016). Annual minimum temperature variations in early 21st century in Punjab, Pakistan. Journal of Atmospheric and Solar-Terrestrial Physics, 137, 1–9.
Jamro, S., Channa, F. N., Dars, G. H., Ansari, K., & Krakauer, N. Y. (2020). Exploring the evolution of drought characteristics in Balochistan, Pakistan. Applied Sciences, 10(3), 913.
Jenkinson, A. F. (1955). The frequency distribution of the annual maximum (or minimum) values of meteorological elements. Quarterly Journal of the Royal Meteorological Society, 81(348), 158–171.
Katz, R. W., & Brown, B. G. (1992). Extreme events in a changing climate: Variability is more important than averages. Climatic Change, 21(3), 289–302.
Katz, R. W. (2013). Statistical methods for nonstationary extremes. In A. AghaKouchak, D. Easterling, K. Hsu, S. Schubert, & S. Sorooshian (Eds.), Extremes in a Changing Climate. Water Science and Technology Library (vol. 65). Springer. https://doi.org/10.1007/978-94-007-4479-0_2
Kendall, M. G. (1975). Rank correlation methods. Griffin, London. Kendall MG.
Khan, N., Shahid, S., Ismail, Tb., & Wang, X.-J. (2019a). Spatial distribution of unidirectional trends in temperature and temperature extremes in Pakistan. Theoretical and Applied Climatology, 136, 899–913.
Khan, N., Shahid, S., Ismail, T., Ahmed, K., & Nawaz, N. (2019b). Trends in heat wave related indices in Pakistan. Stochastic Environmental Research and Risk Assessment, 33, 287–302.
Khan, F., Ali, S., Ullah, H., & Muhammad, S. (2023). Twenty-first century climate extremes’ projections and their spatio-temporal trend analysis over Pakistan. Journal of Hydrology: Regional Studies, 45, 101295.
Kharin, V. V., Zwiers, F. W., Zhang, X., & Wehner, M. (2013). Changes in temperature and precipitation extremes in the CMIP5 ensemble. Climatic Change, 119, 345–357.
Khattak, M. S., & Ali, S. (2015). Assessment of temperature and rainfall trends in Punjab province of Pakistan for the period 1961–2014. Journal of Himalayan Earth Sciences, 48(2), 42.
Li, J., Hsu, H.-H., Wang, W.-C., Ha, K.-J., Li, T., & Kitoh, A. (2018). East Asian climate under global warming: Understanding and projection (Vol. 51, pp. 3969–3972). Springer.
Lionello, P., & Scarascia, L. (2018). The relation between climate change in the Mediterranean region and global warming. Regional Environmental Change, 18, 1481–1493.
Llano, M. P., & Penalba, O. C. (2011). A climatic analysis of dry sequences in Argentina. International Journal of Climatology, 31(4), 504–513.
Luhunga, P., Botai, J., & Kahimba, F. (2016). Evaluation of the performance of CORDEX regional climate models in simulating present climate conditions of Tanzania. Journal of Southern Hemisphere Earth Systems Science, 66(1), 32–54.
Mahessar, A. A., Qureshi, A. L., Siming, I. A., Kori, S. M., Dars, G. H., Channa, M., & Laghari, A. N. (2019). Flash flood climatology in the lower region of Southern Sindh. Engineering, Technology & Applied Science Research, 9(4), 4474–4479.
Mann, H. B. (1945). Nonparametric tests against trend. Econometrica, 13(3), 245–259. https://doi.org/10.2307/1907187
Masson-Delmotte, V., Zhai, P., Pirani, S., Connors, C., Péan, S., Berger, N., … Scheel Monteiro, P. M. (2021). IPCC, 2021: Summary for policymakers. in: Climate change 2021: The physical science basis. contribution of working group i to the sixth assessment report of the intergovernmental panel on climate change.
Mearns, L. O., Katz, R. W., & Schneider, S. H. (1984). Extreme high-temperature events: Changes in their probabilities with changes in mean temperature. Journal of Applied Meteorology and Climatology, 23(12), 1601–1613.
Mendez, M., Maathuis, B., Hein-Griggs, D., & Alvarado-Gamboa, L.-F. (2020). Performance evaluation of bias correction methods for climate change monthly precipitation projections over Costa Rica. Water, 12(2), 482.
Min, E., Hazeleger, W., Van Oldenborgh, G., & Sterl, A. (2013). Evaluation of trends in high temperature extremes in north-western Europe in regional climate models. Environmental Research Letters, 8(1), 014011.
Naz, F., Dars, G. H., Ansari, K., Jamro, S., & Krakauer, N. Y. (2020). Drought trends in Balochistan. Water, 12(2), 470.
Niedzielski, T., & Halicki, M. (2023). Improving linear interpolation of missing hydrological data by applying integrated autoregressive models. Water Resources Management, 37(14), 5707–5724.
Nikulin*, G., Kjellström, E., Hansson, U., Strandberg, G., & Ullerstig, A. (2011). Evaluation and future projections of temperature, precipitation and wind extremes over Europe in an ensemble of regional climate simulations. Tellus A: Dynamic Meteorology and Oceanography, 63(1), 41–55.
Orkodjo, T. P., Kranjac-Berisavijevic, G., & Abagale, F. K. (2022). Impact of climate change on future precipitation amounts, seasonal distribution, and streamflow in the Omo-Gibe basin. Ethiopia. Heliyon, 8(6), e09711.
Pachauri, R. K., Allen, M. R., Barros, V. R., Broome, J., Cramer, W., Christ, R., … Dasgupta, P. (2014). Climate change 2014: Synthesis report. Contribution of Working Groups I, II and III to the fifth assessment report of the Intergovernmental Panel on Climate Change: Ipcc.
Patra, J. P., Mishra, A., Singh, R., & Raghuwanshi, N. (2012). Detecting rainfall trends in twentieth century (1871–2006) over Orissa State, India. Climatic Change, 111, 801–817.
Patt, A. G., & Schröter, D. (2008). Perceptions of climate risk in Mozambique: Implications for the success of adaptation strategies. Global Environmental Change, 18(3), 458–467.
Perkins, S. E., Alexander, L. V., & Nairn, J. (2012). Increasing frequency, intensity and duration of observed global heatwaves and warm spells. Geophysical Research Letters, 39. https://doi.org/10.1029/2012GL053361
Pfleiderer, P., Schleussner, C.-F., Kornhuber, K., & Coumou, D. (2019). Summer weather becomes more persistent in a 2 C world. Nature Climate Change, 9(9), 666–671.
Pumo, D., Carlino, G., Blenkinsop, S., Arnone, E., Fowler, H., & Noto, L. V. (2019). Sensitivity of extreme rainfall to temperature in semi-arid Mediterranean regions. Atmospheric Research, 225, 30–44.
Pz, S., & Kv, J. (2021). Comparative study of innovative trend analysis technique with Mann-Kendall tests for extreme rainfall. Arabian Journal of Geosciences, 14, 1–15.
Revadekar, J., Hameed, S., Collins, D., Manton, M., Sheikh, M., Borgaonkar, H., … Ashraf, J. (2013). Impact of altitude and latitude on changes in temperature extremes over South Asia during 1971–2000. International Journal of Climatology, 33(1), 199–209.
Rusticucci, M., & Tencer, B. (2008). Observed changes in return values of annual temperature extremes over Argentina. Journal of Climate, 21(21), 5455–5467.
Saddique, N., Khaliq, A., & Bernhofer, C. (2020). Trends in temperature and precipitation extremes in historical (1961–1990) and projected (2061–2090) periods in a data scarce mountain basin, northern Pakistan. Stochastic Environmental Research and Risk Assessment, 34, 1441–1455.
Salas, J. D., & Obeysekera, J. (2014). Revisiting the concepts of return period and risk for nonstationary hydrologic extreme events. Journal of Hydrologic Engineering, 19(3), 554–568. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000820
Saleem, F., Adrees, M., Abbas, F., Ibrahim, M., & Zeng, X. (2017). Changing trend of percentile-based temperature indices over Pakistan. Paper presented at the EGU general assembly conference abstracts.
Sen, O. L., Unal, A., Bozkurt, D., & Kindap, T. (2011). Temporal changes in the Euphrates and Tigris discharges and teleconnections. Environmental Research Letters, 6(2), 024012. https://doi.org/10.1088/1748-9326/6/2/024012
Shah, A., Naveed, R., Khalid, I., & Khan, A. (2021). A review on consequences of climate change in Pakistan. International Journal of Engineering Research Updates, 01(01), 026–042. https://doi.org/10.53430/ijeru.2021.1.1.0054
Sheikh, M., Manzoor, N., Ashraf, J., Adnan, M., Collins, D., Hameed, S., … Borgaonkar, H. (2015). Trends in extreme daily rainfall and temperature indices over South Asia. International Journal of Climatology, 35(7), 1625–1637.
Shen, C., Duan, Q., Miao, C., Xing, C., Fan, X., Wu, Y., & Han, J. (2020). Bias correction and ensemble projections of temperature changes over ten subregions in CORDEX East Asia. Advances in Atmospheric Sciences, 37, 1191–1210.
Sugg, M. M., Konrad, C. E., 2nd., & Fuhrmann, C. M. (2016). Relationships between maximum temperature and heat-related illness across North Carolina, USA. International Journal of Biometeorology, 60(5), 663–675.
Sung, T. I., Wu, P. C., Lung, S. C., Lin, C. Y., Chen, M. J., & Su, H. J. (2013). Relationship between heat index and mortality of 6 major cities in Taiwan. Science of the Total Environment, 442, 275–281.
Sunyer, M. A., Hundecha, Y., Lawrence, D., Madsen, H., Willems, P., Martinkova, M., … Kriaučiūnienė, J. (2015). Inter-comparison of statistical downscaling methods for projection of extreme precipitation in Europe. Hydrology and Earth System Sciences, 19(4), 1827–1847.
Tabaldi, C., Hayhoe, K., Arblaster, J., & Meehl, G. (2006). Going to the extremes. Climate Change, 79, 185–211.
Tariq, S., Nawaz, H., Mehmood, U., Ul Haq, Z., Pata, U. K., & Murshed, M. (2023). Remote sensing of air pollution due to forest fires and dust storm over Balochistan (Pakistan). Atmospheric Pollution Research, 14(2), 101674.
Udmale, P., Ichikawa, Y., Manandhar, S., Ishidaira, H., & Kiem, A. S. (2014). Farmers׳ perception of drought impacts, local adaptation and administrative mitigation measures in Maharashtra State, India. International Journal of Disaster Risk Reduction, 10, 250–269.
Vincent, L. A., & Mekis, É. (2019). Changes in daily and extreme temperature and precipitation indices for Canada over the twentieth century. In Data, Models and Analysis (pp. 61–77). Routledge
Wehner, M., Gleckler, P., & Lee, J. (2020). Characterization of long period return values of extreme daily temperature and precipitation in the CMIP6 models: Part 1, model evaluation. Weather and Climate Extremes, 30, 100283.
Yucel, I., Güventürk, A., & Sen, O. L. (2015). Climate change impacts on snowmelt runoff for mountainous transboundary basins in eastern Turkey. International Journal of Climatology, 35(2), 215–228. https://doi.org/10.1002/JOC.3974
Acknowledgements
The authors acknowledges the Pakistan Meteorological Department for provision of observational data.
Author information
Authors and Affiliations
Contributions
All authors contributed to this manuscript. The data management and all the analyses were done by D.N. The interpretation of results and visualization was done by M.A. and R. A. The methodology development, overall supervision, and draft and manuscript preparation were done by R.A. Draft review and interpretation of results were carried out by S.R.A.
Corresponding author
Ethics declarations
Ethical responsibilities of authors
All authors have read, understood, and have complied as applicable with the statement on “Ethical responsibilities of Authors” as found in the Instructions for Authors.
Consent to participate
Not applicable.
Consent for publication
All authors gave their consent for publication in the journal.
Competing interests
The authors declare no competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Naeem, D., Aziz, R., Awais, M. et al. Assessment of historical and projected changes in extreme temperatures of Balochistan, Pakistan using extreme value theory. Environ Monit Assess 196, 375 (2024). https://doi.org/10.1007/s10661-024-12512-6
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10661-024-12512-6