Abstract
The projection of precipitation changes and the year of surpassing a 1, 2, 3, 4, and 5 °C warming above pre-industrial levels in the Middle East – West Asia (MEWA) during 2026–2100 was conducted using dynamical downscaling of the Regional Climate Modeling version 4.7 (RegCM4.7) under Shared Socio-economic Pathways (SSPs) scenarios. Two significant changes in annual precipitation were identified compared to the baseline period of 1990–2014: a decrease in the Mediterranean Basin (MB) and an increase in the Persian Gulf- the Gulf of Oman -east of the Arabian Peninsula region (POA). The above patterns were also detected during the spring of 2026–2050. However, a decrease in precipitation is anticipated around the Persian Gulf (PG) during 2076–2100. The precipitation patterns exhibit a decrease in the MB and east of it up to Iran during the summer. In contrast, there is an increase in precipitation in the POA. During autumn, precipitation increases (decreases) around the POA (MB). During the winter, there is an increase (decrease) in the precipitation of POA (from the MB to Iran). In the SSP5-8.5 scenario, a 2 °C (3 °C) warming is expected by 2050 (2068), about two (four) decades earlier than SSP2-4.5. A 4 °C (5 °C) warming is expected by 2081 (2092) in SSP5-8.5, but postponed beyond 2100 in SSP2-4.5. Out of all studied cities, Tehran is projected to experience the greatest decrease in precipitation and the highest increase in temperature. Meanwhile, Abu Dhabi is expected to encounter the greatest precipitation increase and the lowest temperature rise.
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References
Alizadeh-Choobari O, Marjani S, Qadimi M (2019) Performance of the Regional Climate Model version 4 (RegCM4) with different physical parameterizations over Iran: a case study in 2010. Iran J Geophys 13(1):132–151. https://dorl.net/dor/20.1001.1.20080336.1398.13.1.9.5
Babaeian I, Karimian M, Modirian R (2021) Optimum configuration of RegCM4. 7 model in prediction of weekly cumulative precipitation during three extreme precipitation events of March-April 2019. J Agricultural Meteorol 9(2):48–60. https://www.agrimet.ir/article_141006.html?lang=en
Barlow M, Hoell A (2015) Drought in the Middle East and Central–Southwest Asia during Winter 2013/14. Bull Am Meteorol Soc 96(12):S71–S76. https://doi.org/10.1175/BAMS-D-15-00127.1
Bucchignani E, Mercogliano P, Panitz HJ, Montesarchio M (2018) Climate change projections for the Middle East–North Africa domain with COSMO-CLM at different spatial resolutions. Adv Clim Change Res 9(1):66–80. https://doi.org/10.1016/j.accre.2018.01.004
Christidis N, Mitchell D, Stott PA (2023) Rapidly increasing likelihood of exceeding 50°C in parts of the Mediterranean and the Middle East due to human influence. npj Clim Atmos Sci 6(45). https://doi.org/10.1038/s41612-023-00377-4
Cook BI, Anchukaitis KJ, Touchan R, Meko DM, Cook ER (2016) Spatiotemporal drought variability in the Mediterranean over the last 900 years. J Geophys Res Atmos 121:2060–2074. https://doi.org/10.1002/2015JD023929
Fragaszy SR, Jedd T, Wall N, Knutson C, Fraj MB, Bergaoui K, Svoboda M, Hayes M, McDonnell R (2020) Drought Monitoring in the Middle East and North Africa (MENA) Region: Participatory Engagement to inform early warning systems. Bull Am Meteorol Soc 101(7):E1148–E1173. https://doi.org/10.1175/BAMS-D-18-0084.1
Giorgi F (2019) Thirty years of regional climate modeling: where are we and where are we going next? J Geophys Research: Atmos 124:5696–5723. https://doi.org/10.1029/2018JD030094
Giorgi F, Coppola E, Giuliani G, Ciarlo JM, Pichelli E, Nogherotto R et al (2023) The fifth-generation regional climate modeling system, RegCM5: description and illustrative examples at parameterized convection and convection-permitting resolutions. J Geophys Research: Atmos 128:e2022JD038199. https://doi.org/10.1029/2022JD038199
Hamzeh NH, Kaskaoutis DG, Rashki A, Mohammadpour K (2021) Long-term variability of dust events in Southwestern Iran and its relationship with the Drought. Atmosphere 12:1350. https://doi.org/10.3390/atmos12101350
Harris I, Osborn TJ, Jones P et al (2020) Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. Sci Data 109(7). https://doi.org/10.1038/s41597-020-0453-3
IPCC (2001) Climate Change 2001: the scientific basis. Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change [Houghton. et al (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, p 881
IPCC (2018) Summary for policymakers. In: global warming of 1.5°C. An IPCC Special Report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways. The context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty [Masson-Delmotte. et al (eds.)]. World Meteorological Organization, Geneva, Switzerland, p 32
IPCC (2021) Summary for policymakers. Climate Change 2021: the physical science basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte. et al (eds.)]. Cambridge University Press
IPCC (2007) In: Pachauri RK, Reisinger A (eds) Climate Change 2007: synthesis report. Contribution of Working groups I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Core writing Team. IPCC, Geneva, Switzerland, p 104
IPCC (2013) In: Stocker TF, Qin D, Plattner GK, Tignor M, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midgley PM (eds) Climate Change 2013: the physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, p 1535. doi:https://doi.org/10.1017/CBO9781107415324
Krismer TR, Giorgetta MA, Esch M (2013) Seasonal aspects of the quasi-biennial oscillation in MPI-ESM and ERA-40. J Adv Model Earth Syst 5:406–421. https://doi.org/10.1002/jame.20024
Lange MA (2019) Impacts of Climate Change on the Eastern Mediterranean and the Middle East and North Africa Region and the water–energy Nexus. Atmosphere 10:455. https://doi.org/10.3390/atmos10080455
Majdi F, Hosseini SA, Karbalaee A, Kaseri M, Marjanian S (2020) Future projection of precipitation and temperature changes in the Middle East and North Africa (MENA) region based on CMIP6. Theor Appl Climatol 147:1249–1262. https://doi.org/10.1007/s00704-021-03916-2
Majdi F, Hosseini SA, Karbalaee A et al (2022) Future projection of precipitation and temperature changes in the Middle East and North Africa (MENA) region based on CMIP6. Theor Appl Climatol 147:1249–1262. https://doi.org/10.1007/s00704-021-03916-2
Mariotti L, Coppola E, Sylla MB, Giorgi F, Piani C (2011) Regional climate model simulation of projected 21st century climate change over an all-Africa domain: comparison analysis of nested and driving model results. J Phys Res 116:D15111. https://doi.org/10.1029/2010JD015068
Marras PA, Lima DCA, Soares PMM, Cardoso RM, Medas D, Dore E, Giudici GD (2021) Future precipitation in a Mediterranean island and streamflow changes for a small basin using EURO-CORDEX regional climate simulations and the SWAT model. J Hydrology 603(Part B) 127025. https://doi.org/10.1016/j.jhydrol.2021.127025
Martyn D (1992) Climates of the World. Elsevier, Amsterdam, p 436
Mauritsen T, Bader J, Becker T, Behrens J, Bittner M, Brokopf R et al (2019) Developments in the MPI-M Earth System Model version1.2 (MPI-ESM1.2) and its response to increasing CO2. J Adv Model Earth Syst 11:998–1038. https://doi.org/10.1029/2018MS001400
Mbienda AJK, Guenang GM, Kaissassou S, Tanessong RS, Choumbou PC, Giorgi F (2023) Enhancement of RegCM4.7-CLM precipitation and temperature by improved bias correction methods over Central Africa. Meteorol Appl 30(1):e2116. https://doi.org/10.1002/met.2116
Middleton N, Kashani SS, Attarchi S, Rahnama M, Mosalman ST (2021) Synoptic causes and Socio-Economic consequences of a severe dust storm in the Middle East. Atmosphere 12:1435. https://doi.org/10.3390/atmos12111435
Müller WA, Jungclaus JH, Mauritsen T, Baehr J, Bittner M, Budich R et al (2018) A high-resolution version of the Max Planck Institute Earth System Model MPI-ESM1.2-HR. J Adv Model Earth Syst 10:1383–1413. https://doi.org/10.1029/2017MS001217
Nikfal A, Ranjbar-Saadatabadi A, Tajbakhsh S, Moradi M (2021) Correction and assessment of dust sources in WRF/Chem caused by wind erosion over West Asia. Iran J Geophys. https://doi.org/10.30499/ijg.2021.288380.1331
Rezazadeh M, Irannejad P, Shao Y (2013) Dust emission simulation with the WRF-Chem model using new surface data in the Middle East region. J Earth Space Phys 39(1):191–212. https://doi.org/10.22059/jesphys.2013.31955
Shrestha S (2019) Effects of climate change in agricultural insect pest. Acta Sci Agric 3:74–80
Terink W, Immerzeel WW, Droogers P (2013) Climate change projections of precipitation and reference evapotranspiration for the Middle East and Northern Africa until 2050. Int J Climatol 33:3055–3072. https://doi.org/10.1002/joc.3650
Touchan R, Anchukaitis KJ, Meko DM, Sabir M, Attalah S, Aloui A (2011) Spatiotemporal drought variability in northwestern Africa over the last nine centuries. Clim Dyn 37:237–252. https://doi.org/10.1007/s00382-010-0804-4
Trenberth KE, Fasullo J (2007) Water and energy budgets of hurricanes and implications for climate change. J Geophys Res 112:D23107. https://doi.org/10.1029/2006JD008304
Turral H, Burke J, Faurès JM (2011) Climate change, water and food security. Food and Agriculture Organization of United Nation (FAO), p 200
Wieners KH, Giorgetta M et al (2019) MPI-M MPI-ESM1.2-LR model output prepared for CMIP6 CMIP 1pctCO2. https://doi.org/10.22033/ESGF/CMIP6.6435. Earth System Grid Federation
Yoro KO, Daramola MO (2020) CO2 emission sources, greenhouse gases, and the global warming effect. In: Rahimpour MR, Farsi M, Makarem MA (ed) Advances in Carbon Capture, 1st ed. Sawston, UK, pp. 3–28, ISBN 9780128196571
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Dynamical simulations have been done in Climate Research Institute/ Atmospheric Science and Meteorological Research Center in Mashhad. The authors thank the ICTP for technical support and MPI-M for providing data.
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All authors have read and agreed to the published version of the manuscript. Conceptualization, I.B. and G.G.; Software, I.B., G.G., R.M. and M. K.; writing—original draft preparation, I.B., M. K. and R.M.; formal analysis, I.B.; writing—review and editing, I.B.
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Babaeian, I., Giuliani, G., Karimian, M. et al. Projected precipitation and temperature changes in the Middle East—West Asia using RegCM4.7 under SSP scenarios. Theor Appl Climatol (2024). https://doi.org/10.1007/s00704-024-04900-2
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DOI: https://doi.org/10.1007/s00704-024-04900-2