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Projections of atmospheric changes over Iran in 2014–2050 using the CMIP6-HighResMIP experiment

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Abstract

It was evident from observations in the recent past that atmospheric variables are changing at regional scale and may continue to impact the regional weather in the coming future. An 8-member ensemble from the HighResMIP experiment is used to analyze projected changes in temperature, atmospheric pressure, precipitation, and surface wind over Iran during 2015–2050 period. A considerable increase of temperature between 2 and 2.5 °C by 2050 with respect to the baseline period (1979–2014) is expected with a higher rate towards southwestern and southeastern of Iran. From the seasonal analysis, an increase of ~ 4 °C (2 °C) by 2050 would be maintained in summer (winter) season over the country. Furthermore, a reduction in atmospheric pressure between 0.2 and 1 hPa by 2050 with respect to the baseline period towards the northwestern region of the country is foresaw; however, no consistent changes are expected in the remain regions where lack of coherence between models is recognized. Besides, precipitation changes are expected to be significant towards the northwestern Iran region with values between 0.1 and 0.3 mm day−1 by 2050 with respect to the baseline period, contrary to the results obtained in the eastern region with changes between − 0.1 and 0.1 mm day−1 towards the Lut and the Kavir deserts. Additionally, an interesting behavior was noticeable in all the models selected with a reduction in precipitation of 0.3 mm day−1 between June and September which announce temperature increases principally in boreal summer, thus can exacerbate extensive droughts in different regions of Iran. Finally, surface wind speed and direction behavior were assessed, showing an increase of surface wind speed between 0.05 and 0.1 ms−1, but no significant trends were observed in the majority of the country similar to expected changes in wind direction.

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The datasets used and/or analyzed during the current study available from the corresponding author on reasonable request.

References

  • Abbasian M, Moghim S, Abrishamchi A (2019) Performance of the general circulation models in simulating temperature and precipitation over Iran. Theor Appl Climatol 135:1465–1483

    Article  Google Scholar 

  • Abbaspour KC, Faramarzi M, Ghasemi SS, Yang H (2009) Assessing the impact of climate change on water resources in Iran. Water Resour Res 45:

  • Alamdari P, Nematollahi O, Mirhosseini M (2012) Assessment of wind energy in Iran: a review. Renew Sustain Energy Rev 16:836–860. https://doi.org/10.1016/j.rser.2011.09.007

    Article  Google Scholar 

  • Ali S, Liu Y, Ishaq M et al (2017) Climate change and its impact on the yield of major food crops: evidence from Pakistan. Foods Basel Switz 6:39. https://doi.org/10.3390/foods6060039

    Article  Google Scholar 

  • Alijani B, Ghohroudi M, Arabi N (2008) Developing a climate model for Iran using GIS. Theor Appl Climatol 92:103–112. https://doi.org/10.1007/s00704-006-0292-y

    Article  Google Scholar 

  • Almazroui M, Saeed S, Saeed F et al (2020) Projections of precipitation and temperature over the South Asian Countries in CMIP6. Earth Syst Environ 4:297–320. https://doi.org/10.1007/s41748-020-00157-7

    Article  Google Scholar 

  • Azari M, Oliaye A, Nearing MA (2021) Expected climate change impacts on rainfall erosivity over Iran based on CMIP5 climate models. J Hydrol 593:125826. https://doi.org/10.1016/j.jhydrol.2020.125826

    Article  Google Scholar 

  • babaeian iman, karimian maryam, modirian rahele, mirzaei E (2019) Future climate change projection over Iran using CMIP5 data during 2020–2100. Nivar 43:62–71. https://doi.org/10.30467/nivar.2019.142745.1103

  • Babar Z, Zhi X, Ge F et al (2016) Assessment of Southwest Asia surface temperature changes: CMIP5 20th and 21st Century Simulations. PAKISTAN JOURNAL OF METEOROLOGY 13:15–27

    Google Scholar 

  • Chen Z, Zhou T, Zhang L, et al (2020) Global land monsoon precipitation changes in CMIP6 projections. Geophys Res Lett 47:e2019GL086902. https://doi.org/10.1029/2019GL086902

  • Copsey D, Sutton R, Knight JR (2006) Recent trends in sea level pressure in the Indian Ocean region. Geophys Res Lett 33:. https://doi.org/10.1029/2006GL027175

  • Cucchi M, Weedon G, Amici A, et al (2020) WFDE5: bias adjusted ERA5 reanalysis data for impact studies. 10.5194/essd-12-2097-2020

  • da Costa GM, Alves DD, Martins DP, et al (2022) Climate changes and atmospheric pollution: global and regional impacts. In: Research Anthology on Environmental and Societal Impacts of Climate Change. IGI Global, pp 540–577

  • dadashi-rodbari abbasali, Salehabadi N (2020) Projected temperature anomalies and trends in different climatic zones in Iran based on CMIP6. Iran J Geophys. https://doi.org/10.30499/ijg.2020.249997.1292

  • Dawson A, Palmer TN, Corti S (2012) Simulating regime structures in weather and climate prediction models. Geophys Res Lett 39:

  • Demory M-E, Vidale PL, Roberts MJ et al (2014) The role of horizontal resolution in simulating drivers of the global hydrological cycle. Clim Dyn 42:2201–2225. https://doi.org/10.1007/s00382-013-1924-4

    Article  Google Scholar 

  • Doi T, Vecchi GA, Rosati AJ, Delworth TL (2012) Biases in the Atlantic ITCZ in seasonal–interannual variations for a coarse- and a high-resolution coupled climate model. J Clim 25:5494–5511. https://doi.org/10.1175/JCLI-D-11-00360.1

    Article  Google Scholar 

  • Doulabian S, Golian S, Toosi AS, Murphy C (2020) Evaluating the effects of climate change on precipitation and temperature for Iran using RCP scenarios. J Water Clim Change. https://doi.org/10.2166/wcc.2020.114

    Article  Google Scholar 

  • Fallah-Ghalhari G, Shakeri F, Dadashi-Roudbari A (2019) Impacts of climate changes on the maximum and minimum temperature in Iran. Theor Appl Climatol 138:1539–1562. https://doi.org/10.1007/s00704-019-02906-9

    Article  Google Scholar 

  • Flaounas E, Drobinski P, Bastin S (2013) Dynamical downscaling of IPSL-CM5 CMIP5 historical simulations over the Mediterranean: benefits on the representation of regional surface winds and cyclogenesis. Clim Dyn 40:2497–2513. https://doi.org/10.1007/s00382-012-1606-7

    Article  Google Scholar 

  • Ghasemi A, Khalili D (2008) The association between regional and global atmospheric patterns and winter precipitation in Iran. Atmospheric Res - ATMOS RES 88:116–133. https://doi.org/10.1016/j.atmosres.2007.10.009

    Article  Google Scholar 

  • Haarsma RJ, Roberts MJ, Vidale PL et al (2016) High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6. Geosci Model Dev 9:4185–4208. https://doi.org/10.5194/gmd-9-4185-2016

    Article  Google Scholar 

  • Hashemi H, Uvo CB, Berndtsson R (2015) Coupled modeling approach to assess climate change impacts on groundwater recharge and adaptation in arid areas. Hydrol Earth Syst Sci 19:4165–4181

    Article  Google Scholar 

  • Hodges KI, Lee RW, Bengtsson L (2011) A Comparison of Extratropical Cyclones in Recent Reanalyses ERA-Interim, NASA MERRA, NCEP CFSR, and JRA-25. J Clim 24:4888–4906. https://doi.org/10.1175/2011JCLI4097.1

    Article  Google Scholar 

  • IPCC (2021) The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change

  • IPCC (2014) Climate Change 2014: Synthesis Report. Switzerland, Geneva

    Google Scholar 

  • Javadinejad S, Eslamian S, Ostad-Ali-Askari K (2021) The analysis of the most important climatic parameters affecting performance of crop variability in a changing climate. Int J Hydrol Sci Technol 11:1. https://doi.org/10.1504/IJHST.2021.112651

    Article  Google Scholar 

  • Javadinejad S, Ostad-Ali-Askari K, Jafary F (2019) Using simulation model to determine the regulation and to optimize the quantity of chlorine injection in water distribution networks. Model Earth Syst Environ 5:1015–1023. https://doi.org/10.1007/s40808-019-00587-x

    Article  Google Scholar 

  • Jiang D, Tian Z (2013) East Asian monsoon change for the 21st century: Results of CMIP3 and CMIP5 models. Chin Sci Bull 58:1427–1435. https://doi.org/10.1007/s11434-012-5533-0

    Article  Google Scholar 

  • Kapnick SB, Delworth TL (2013) Controls of global snow under a changed climate. J Clim 26:5537–5562. https://doi.org/10.1175/JCLI-D-12-00528.1

    Article  Google Scholar 

  • Katiraie-Boroujerdy P-S, Akbari Asanjan A, Chavoshian A et al (2019) Assessment of seven CMIP5 model precipitation extremes over Iran based on a satellite-based climate data set. Int J Climatol 39:3505–3522. https://doi.org/10.1002/joc.6035

    Article  Google Scholar 

  • Khazaei MR, Zahabiyoun B, Saghafian B (2012) Assessment of climate change impact on floods using weather generator and continuous rainfall-runoff model. Int J Climatol 32:1997–2006

    Article  Google Scholar 

  • Li R, Lv S, Han B et al (2017) Projections of South Asian summer monsoon precipitation based on 12 CMIP5 models. Int J Climatol 37:94–108. https://doi.org/10.1002/joc.4689

    Article  Google Scholar 

  • Maghsood FF, Moradi H, Bavani AR et al (2019) Climate change impact on flood frequency and source area in Northern Iran under CMIP5 Scenarios. Water 11:22

    Article  Google Scholar 

  • Mansouri Daneshvar MR, Ebrahimi M, Nejadsoleymani H (2019) An overview of climate change in Iran: facts and statistics. Environ Syst Res 8:7. https://doi.org/10.1186/s40068-019-0135-3

    Article  Google Scholar 

  • Masson S, Terray P, Madec G et al (2012) Impact of intra-daily SST variability on ENSO characteristics in a coupled model. Clim Dyn 39:681–707. https://doi.org/10.1007/s00382-011-1247-2

    Article  Google Scholar 

  • Mojgan GM, Mehdi MM, Reza BM (2017) The trend of changes in surface wind in the Indian Ocean, in the Period from 1981 to 2015, using reanalysis data, NCEP/NCAR. Open J. Mar. Sci. Vol.07No.04:14

  • Mousavi A, Ardalan A, Takian A et al (2020) Climate change and health in Iran: a narrative review. J Environ Health Sci Eng 18:367–378. https://doi.org/10.1007/s40201-020-00462-3

    Article  Google Scholar 

  • Nafchi RF, Yaghoobi P, Vanani HR, et al (2022) Eco-hydrologic stability zonation of dams and power plants using the combined models of SMCE and CEQUALW2 (vol 11, pg 109, 2021). Appl WATER Sci 12:

  • O’Neill BC, Tebaldi C, van Vuuren DP et al (2016) The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6. Geosci Model Dev 9:3461–3482. https://doi.org/10.5194/gmd-9-3461-2016

    Article  Google Scholar 

  • Ostad-Ali-Askari K, Ghorbanizadeh Kharazi H, Shayannejad M, Zareian MJ (2019) Effect of management strategies on reducing negative impacts of climate change on water resources of the Isfahan-Borkhar aquifer using MODFLOW. River Res Appl 35:611–631. https://doi.org/10.1002/rra.3463

    Article  Google Scholar 

  • Ostad-Ali-Askari K, Shayan M (2021) Subsurface drain spacing in the unsteady conditions by HYDRUS-3D and artificial neural networks. Arab J Geosci 14:1936. https://doi.org/10.1007/s12517-021-08336-0

    Article  Google Scholar 

  • Ostad-Ali-Askari K, Shayannejad M (2021) Quantity and quality modelling of groundwater to manage water resources in Isfahan-Borkhar Aquifer. Environ Dev Sustain 23:15943–15959. https://doi.org/10.1007/s10668-021-01323-1

    Article  Google Scholar 

  • Kaveh O-A-A, Hossein GK, Mohammad S, Javad ZM (2020) Effect of climate change on precipitation patterns in an arid region using GCM models: case study of Isfahan-Borkhar Plain. Nat Hazards Rev 21:04020006. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000367

    Article  Google Scholar 

  • Paul A, Kaviani A, Hatzfeld D et al (2006) Seismological evidence for crustal-scale thrusting in the Zagros mountain belt (Iran). Geophys J Int 166:227–237. https://doi.org/10.1111/j.1365-246X.2006.02920.x

    Article  Google Scholar 

  • Popp A, Calvin K, Fujimori S et al (2017) Land-use futures in the shared socio-economic pathways. Glob Environ Change 42:331–345. https://doi.org/10.1016/j.gloenvcha.2016.10.002

    Article  Google Scholar 

  • Pourshirazi S, Soltani A, Zeinali E, et al (2022) Assessing the sensitivity of alfalfa yield potential to climate impact under future scenarios in Iran. Environ Sci Pollut Res 1–14

  • Rahimi J, Laux P, Khalili A (2020a) Assessment of climate change over Iran: CMIP5 results and their presentation in terms of Köppen-Geiger climate zones. Theor Appl Climatol 141:183–199

    Article  Google Scholar 

  • Raziei T, Saghafian B, Paulo A et al (2009) Spatial patterns and temporal variability of drought in Western Iran. Water Resour Manag 23:439–455. https://doi.org/10.1007/s11269-008-9282-4

    Article  Google Scholar 

  • Roberts M (2017a) MOHC HadGEM3-GC31-MM model output prepared for CMIP6 HighResMIP

  • Roberts M (2017b) MOHC HadGEM3-GC31-HM model output prepared for CMIP6 HighResMIP

  • Roberts M (2018) MOHC HadGEM3-GC31-HH model output prepared for CMIP6 HighResMIP

  • Roberts MJ, Clayton A, Demory M-E et al (2009) Impact of Resolution on the Tropical Pacific Circulation in a Matrix of Coupled Models. J Clim 22:2541–2556. https://doi.org/10.1175/2008JCLI2537.1

    Article  Google Scholar 

  • Sabziparvar AA, Movahedi S, Asakereh H et al (2015) Geographical factors affecting variability of precipitation regime in Iran. Theor Appl Climatol 120:367–376. https://doi.org/10.1007/s00704-014-1174-3

    Article  Google Scholar 

  • Samadi S, Carbone GJ, Mahdavi M et al (2012) Statistical downscaling of climate data to estimate streamflow in a semi-arid catchment. Hydrol Earth Syst Sci Discuss 9:4869–4918

    Google Scholar 

  • Sayari N, Bannayan M, Alizadeh A, Farid A (2013) Using drought indices to assess climate change impacts on drought conditions in the northeast of Iran (case study: Kashafrood basin). Meteorol Appl 20:115–127

    Article  Google Scholar 

  • Scoccimarro E, Bellucci A, Peano D (2019) CMCC CMCC-CM2-HR4 model output prepared for CMIP6 HighResMIP hist-1950

  • Scoccimarro E, Bellucci A, Peano D (2017) CMCC CMCC-CM2-VHR4 model output prepared for CMIP6 HighResMIP

  • Shadkam S, Ludwig F, van Vliet MTH et al (2016) Preserving the world second largest hypersaline lake under future irrigation and climate change. Sci Total Environ 559:317–325

    Article  Google Scholar 

  • Shaffrey LC, Stevens I, Norton WA et al (2009) U.K. HiGEM: the new U.K. high-resolution global environment model—model description and basic evaluation. J Clim 22:1861–1896. https://doi.org/10.1175/2008JCLI2508.1

    Article  Google Scholar 

  • Shifteh Some’e B, Ezani A, Tabari H, (2012) Spatiotemporal trends and change point of precipitation in Iran. Atmospheric Res 113:1–12. https://doi.org/10.1016/j.atmosres.2012.04.016

    Article  Google Scholar 

  • Sivakumar M, Stefanski R (2011) Climate Change in South Asia. pp 13–30

  • Soltani M, Laux P, Kunstmann H et al (2016) Assessment of climate variations in temperature and precipitation extreme events over Iran. Theor Appl Climatol 126:775–795. https://doi.org/10.1007/s00704-015-1609-5

    Article  Google Scholar 

  • Stocklin J (1974) Possible Ancient Continental Margins in Iran. In: Burk C.A., Drake C.L. (eds) The Geology of Continental Margins. Springer, Berlin

  • Tabari H, Talaee PH (2011) Temporal variability of precipitation over Iran: 1966–2005. J Hydrol 396:313–320. https://doi.org/10.1016/j.jhydrol.2010.11.034

    Article  Google Scholar 

  • Tozer B, Sandwell DT, Smith WHF et al (2019) Global bathymetry and topography at 15 Arc Sec: SRTM15+. Earth Space Sci 6:1847–1864. https://doi.org/10.1029/2019EA000658

    Article  Google Scholar 

  • UNFCC (2014) THIRD NATIONAL COMMUNICATION ON CLIMATE CHANGE

  • Usta DFB, Teymouri M, Chatterjee U (2022) Assessment of temperature changes over Iran during the twenty-first century using CMIP6 models under SSP1–26, SSP2–4.5, and SSP5–8.5 scenarios. Arab J Geosci 15:416. https://doi.org/10.1007/s12517-022-09709-9

  • Usta DFB, Teymouri M, Chatterjee U, Koley B (2021) Temperature projections over Iran during the twenty-first century using CMIP5 models. Model Earth Syst Environ. https://doi.org/10.1007/s40808-021-01115-6

    Article  Google Scholar 

  • von Storch J-S, Putrasahan D, Lohmann K, et al (2017a) MPI-M MPI-ESM1.2-XR model output prepared for CMIP6 HighResMIP

  • von Storch J-S, Putrasahan D, Lohmann K, et al (2017b) MPI-M MPIESM1.2-HR model output prepared for CMIP6 HighResMIP

  • Wood AW, Maurer EP, Kumar A, Lettenmaier DP (2002) Long-range experimental hydrologic forecasting for the eastern United States. J Geophys Res Atmospheres 107:ACL 6–1-ACL 6–15. https://doi.org/10.1029/2001JD000659

  • Zarenistanak M (2019) Historical trend analysis and future projections of precipitation from CMIP5 models in the Alborz mountain area. Iran Meteorol Atmospheric Phys 131:1259–1280

    Article  Google Scholar 

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We thank the two anonymous reviewers who allowed us to improve the quality of this paper.

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Usta, D.F.B., Teymouri, M., Chatterjee, U. et al. Projections of atmospheric changes over Iran in 2014–2050 using the CMIP6-HighResMIP experiment. Arab J Geosci 15, 1335 (2022). https://doi.org/10.1007/s12517-022-10639-9

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