|
Volume 12, Issue 10 (October 2025), Pages: 247-256
----------------------------------------------
Original Research Paper
Climate change in Oman: Historical data and projections under contrasting scenarios SSP5-8.5 and SSP1-1.9
Author(s):
Osama A. Marzouk *
Affiliation(s):
College of Engineering, University of Buraimi, Al Buraimi 512, Oman
Full text
Full Text - PDF
* Corresponding Author.
Corresponding author's ORCID profile: https://orcid.org/0000-0002-1435-5318
Digital Object Identifier (DOI)
https://doi.org/10.21833/ijaas.2025.10.025
Abstract
Climate change is broader than global warming, as it includes changes in precipitation patterns, rising sea levels, and other environmental shifts. Global surface temperature increased by 1.1 °C during 2011–2020 compared to 1850–1900, while 2024, the warmest year in the past 175 years, was 1.55 °C above that baseline. This study examines historical and projected features of climate change in Oman using data from the Climate Change Knowledge Portal, which applies climate models such as CMIP6, ERA5, and N-SLC. Results show that between 1971 and 2020, Oman’s average warming rate was 0.025 °C/year, with regional variations from 0.017 °C/year in Duqm to 0.048 °C/year in Buraimi. Projections suggest stronger warming of 0.064–0.074 °C/year under the high-emission SSP5-8.5 scenario or weaker warming of 0.01 °C/year under the low-emission SSP1-1.9 pathway. By 2099, maximum June temperatures may rise by 7.11 °C, and sea levels by up to 1.39 m by 2150. No significant rainfall anomaly has yet been observed.
© 2025 The Authors. Published by IASE.
This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords
Climate change, Global warming, Temperature trends, Sea level rise, Oman
Article history
Received 10 June 2025, Received in revised form 1 October 2025, Accepted 6 October 2025
Acknowledgment
No Acknowledgment.
Compliance with ethical standards
Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Citation:
Marzouk OA (2025). Climate change in Oman: Historical data and projections under contrasting scenarios SSP5-8.5 and SSP1-1.9. International Journal of Advanced and Applied Sciences, 12(10): 247-256
Permanent Link to this page
Figures
No Figure
Tables
Table 1 Table 2 Table 3 Table 4
Table 5
----------------------------------------------
References (53)
- Al-Abri I, Önel G, and Grogan KA (2019). Oil revenue shocks and the growth of the non-oil sector in an oil-dependent economy: The case of Oman. Theoretical Economics Letters, 9(4): 785–800. https://doi.org/10.4236/tel.2019.94052
[Google Scholar]
- Al-Abri T, Chen M, Nikoo MR, Al-Hashmi S, and Al-Hinai A (2024). Economic analysis of blue and green hydrogen production in Oman: Comparison of various energy sources mix. Energy, Ecology and Environment, 10: 225–242. https://doi.org/10.1007/s40974-024-00341-9
[Google Scholar]
- Al-Sarihi A and Bello H (2019). Socio-economic and environmental implications of renewable energy integrity in Oman: Scenario modelling using system dynamics approach. In: Qudrat-Ullah H and Kayal AA (Eds.), Climate change and energy dynamics in the Middle East: Modeling and simulation-based solutions: 17–46. Springer, Cham, Switzerland. https://doi.org/10.1007/978-3-030-11202-8_2
[Google Scholar]
- Bellouin N (2015). AEROSOLS | Role in climate change. In: North GR, Pyle J, and Zhang F (Eds.), Encyclopedia of atmospheric sciences: 76–85. Academic Press, Cambridge, USA. https://doi.org/10.1016/B978-0-12-382225-3.00054-2
[Google Scholar]
- Bellouin N, Quaas J, Gryspeerdt E et al. (2020). Bounding global aerosol radiative forcing of climate change. Reviews of Geophysics, 58: e2019RG000660. https://doi.org/10.1029/2019RG000660
[Google Scholar]
PMid:32734279 PMCid:PMC7384191
- Bienvenido-Huertas D, Rubio-Bellido C, Marín-García D, and Canivell J (2021). Influence of the representative concentration pathways (RCP) scenarios on the bioclimatic design strategies of the built environment. Sustainable Cities and Society, 72: 103042. https://doi.org/10.1016/j.scs.2021.103042
[Google Scholar]
- Braconnot P, Harrison SP, Kageyama M et al. (2012). Evaluation of climate models using palaeoclimatic data. Nature Climate Change, 2: 417–424. https://doi.org/10.1038/nclimate1456
[Google Scholar]
- Broer M, Bai Y, and Fonseca F (2019). A review of the literature on socioeconomic status and educational achievement. In: Broer M, Bai Y, and Fonseca F (Eds.), Socioeconomic inequality and educational outcomes: Evidence from twenty years of TIMSS: 7–17. Springer, Cham, Switzerland. https://doi.org/10.1007/978-3-030-11991-1_2
[Google Scholar]
- Carta JA, Velázquez S, and Cabrera P (2013). A review of measure-correlate-predict (MCP) methods used to estimate long-term wind characteristics at a target site. Renewable and Sustainable Energy Reviews, 27: 362–400. https://doi.org/10.1016/j.rser.2013.07.004
[Google Scholar]
- Creutzig F, Ravindranath NH, Berndes G et al. (2015). Bioenergy and climate change mitigation: An assessment. GCB Bioenergy, 7: 916–944. https://doi.org/10.1111/gcbb.12205
[Google Scholar]
- Dangayach R and Pandey AK (2024). Technologies and methods for land use and land cover: A comprehensive review. In: Moharir K and Pande CB (Eds.), Remote sensing and GIS application in forest conservation planning: 369–390. Springer, Singapore, Singapore. https://doi.org/10.1007/978-981-96-1733-3_17
[Google Scholar]
- de Szoeke SP (2021). Fast floating temperature sensor measures SST, not wet-bulb temperature. Journal of Atmospheric and Oceanic Technology, 38(7): 1325–1330. https://doi.org/10.1175/JTECH-D-20-0193.1
[Google Scholar]
- ECMWF (2020). ERA5. European Centre for Medium-Range Weather Forecasts, Bonn, Germany. Available online at: https://www.ecmwf.int/en/forecasts/dataset/ecmwf-reanalysis-v5
- ECMWF (2022a). Climate reanalysis. European Centre for Medium-Range Weather Forecasts, Bonn, Germany. Available online at: https://www.ecmwf.int/en/research/climate-reanalysis
- ECMWF (2022b). Location. European Centre for Medium-Range Weather Forecasts, Bonn, Germany. Available online at: https://www.ecmwf.int/en/about/contact-us/location
- Fedorenko R, Yakhneeva I, Zaychikova N, and Lipinsky D (2021). Evaluating the socio-economic factors impacting foreign trade development in port areas. Sustainability, 13(15): 8447. https://doi.org/10.3390/su13158447
[Google Scholar]
- Gartland L (2012). Heat islands: Understanding and mitigating heat in urban areas. Routledge, London, UK. https://doi.org/10.4324/9781849771559
[Google Scholar]
- Hoch JM, de Bruin S, Buhaug H, von Uexkull N, van Beek R, and Wanders N (2021). Projecting armed conflict risk in Africa towards 2050 along the SSP-RCP scenarios: A machine learning approach. Environmental Research Letters, 16(12): 124068. https://doi.org/10.1088/1748-9326/ac3db2
[Google Scholar]
- Horowitz CA (2016). Paris agreement. International Legal Materials, 55(4): 740–755. https://doi.org/10.1017/S0020782900004253
[Google Scholar]
- IEA (2023a). National climate resilience assessment for Oman. International Energy Agency, Paris, France. Available online at: https://www.iea.org/reports/national-climate-resilience-assessment-for-oman
- IEA (2023b). Tracking clean energy progress 2023. International Energy Agency, Paris, France. Available online at: https://www.iea.org/reports/tracking-clean-energy-progress-2023
- IPCC (2014). Climate change 2014: Synthesis report: Summary for policymakers. Intergovernmental Panel on Climate Change, Geneva, Switzerland. Available online at: https://www.ipcc.ch/report/ar5/syr/
- IPCC (2019). Climate change and land: An IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems: Summary for policymakers. Intergovernmental Panel on Climate Change, Geneva, Switzerland. Available online at: https://www.ipcc.ch/srccl/
- Kerkhoff C, Künsch HR, and Schär C (2014). Assessment of bias assumptions for climate models. Journal of Climate, 27(21): 8147–8168. https://doi.org/10.1175/JCLI-D-13-00716.1
[Google Scholar]
- Khan MA, Khan MZ, Zaman K, and Naz L (2014). Global estimates of energy consumption and greenhouse gas emissions. Renewable and Sustainable Energy Reviews, 29: 336–344. https://doi.org/10.1016/j.rser.2013.08.091
[Google Scholar]
- Kogan F (2022). Global warming impacts on earth systems. In: Kogan F (Ed.), Remote sensing land surface changes: The 1981-2020 intensive global warming: 21–66. Springer International Publishing, Cham, Switzerland. https://doi.org/10.1007/978-3-030-96810-6_2
[Google Scholar]
PMCid:PMC8903234
- Kuipers Munneke P, van den Broeke MR, Lenaerts JTM, Flanner MG, Gardner AS, and van de Berg WJ (2011). A new albedo parameterization for use in climate models over the Antarctic ice sheet. Journal of Geophysical Research: Atmospheres, 116: D05103. https://doi.org/10.1029/2010JD015113
[Google Scholar]
- Lee CY, Camargo SJ, Sobel AH, and Tippett MK (2020). Statistical–dynamical downscaling projections of tropical cyclone activity in a warming climate: Two diverging genesis scenarios. Journal of Climate, 33(14): 6033–6051. https://doi.org/10.1175/JCLI-D-19-0452.1
[Google Scholar]
- Lee CY, Sobel AH, Camargo SJ, Tippett MK, and Yang Q (2022). New York state hurricane hazard: History and future projections. Journal of Applied Meteorology and Climatology, 61(6): 635–649. https://doi.org/10.1175/JAMC-D-21-0173.1
[Google Scholar]
- Lee CY, Tippett MK, Sobel AH, and Camargo SJ (2018). An environmentally forced tropical cyclone hazard model. Journal of Advances in Modeling Earth Systems, 10(1): 223–241. https://doi.org/10.1002/2017MS001186
[Google Scholar]
- Lu H, Tian P, and He L (2019). Evaluating the global potential of aquifer thermal energy storage and determining the potential worldwide hotspots driven by socio-economic, geo-hydrologic and climatic conditions. Renewable and Sustainable Energy Reviews, 112: 788–796. https://doi.org/10.1016/j.rser.2019.06.013
[Google Scholar]
- Maraun D (2016). Bias correcting climate change simulations—A critical review. Current Climate Change Reports, 2(4): 211–220. https://doi.org/10.1007/s40641-016-0050-x
[Google Scholar]
- Marzouk OA (2021). Lookup tables for power generation performance of photovoltaic systems covering 40 geographic locations (Wilayats) in the Sultanate of Oman, with and without solar tracking, and general perspectives about solar irradiation. Sustainability, 13(23): 13209. https://doi.org/10.3390/su132313209
[Google Scholar]
- Marzouk OA (2023). Zero carbon ready metrics for a single-family home in the Sultanate of Oman based on EDGE certification system for green buildings. Sustainability, 15(18): 13856. https://doi.org/10.3390/su151813856
[Google Scholar]
- Marzouk OA (2024). Energy generation intensity (EGI) of solar updraft tower (SUT) power plants relative to CSP plants and PV power plants using the new energy simulator “Aladdin.” Energies, 17(2): 405. https://doi.org/10.3390/en17020405
[Google Scholar]
- McFarlane NA (2011). Parameterizations: Representing key processes in climate models without resolving them. Wiley Interdisciplinary Reviews: Climate Change, 2: 482–497. https://doi.org/10.1002/wcc.122
[Google Scholar]
- NOAA (2013). Climate model: Temperature change (RCP 6.0) - 2006-2100. National Oceanic and Atmospheric Administration, Washington D.C., USA. Available online at: https://sos.noaa.gov/catalog/datasets/climate-model-temperature-change-rcp-60-2006-2100
- NOAA (2025a). Climate change: Global temperature. National Oceanic and Atmospheric Administration, Washington, D.C., USA. Available online at: https://www.climate.gov/news-features/understanding-climate/climate-change-global-temperature
- NOAA (2025b). What is the exclusive economic zone? National Oceanic and Atmospheric Administration, Washington, D.C., USA. Available online at: https://oceanservice.noaa.gov/facts/eez.html
- NOAA (2025c). What is the "EEZ"? National Oceanic and Atmospheric Administration, Washington, D.C., USA. Available online at: https://oceanexplorer.noaa.gov/facts/useez.html
- Odhiambo GO (2017). Water scarcity in the Arabian Peninsula and socio-economic implications. Applied Water Science, 7(5): 2479–2492. https://doi.org/10.1007/s13201-016-0440-1
[Google Scholar]
- Popp D (2011). International technology transfer, climate change, and the clean development mechanism. Review of Environmental Economics and Policy, 5(1): 131–152. https://doi.org/10.1093/reep/req018
[Google Scholar]
- Simiu E, Vickery P, and Kareem A (2007). Relation between Saffir–Simpson hurricane scale wind speeds and peak 3-s gust speeds over open terrain. Journal of Structural Engineering, 133(7): 1043–1045. https://doi.org/10.1061/(ASCE)0733-9445(2007)133:7(1043)
[Google Scholar]
- Snyder A, Prime N, Tebaldi C, and Dorheim K (2024). Uncertainty-informed selection of CMIP6 earth system model subsets for use in multisectoral and impact models. Earth System Dynamics, 15(5): 1301–1318. https://doi.org/10.5194/esd-15-1301-2024
[Google Scholar]
- Tyagi S, Sahany S, Saraswat D, Mishra SK, Dubey A, and Niyogi D (2024). Implications of CMIP6 models-based climate biases and runoff sensitivity on runoff projection uncertainties over central India. International Journal of Climatology, 44(16): 5727–5744. https://doi.org/10.1002/joc.8661
[Google Scholar]
- Valeri M (2020). Economic diversification and energy security in Oman: Natural gas, the X factor? Journal of Arabian Studies, 10(1): 159–174. https://doi.org/10.1080/21534764.2020.1794284
[Google Scholar]
- van der Meersch V and Wolkovich EM (2025). Summer solstice optimizes the thermal growing season. Proceedings of the National Academy of Sciences of the United States of America, 122(23): e2506796122. https://doi.org/10.1073/pnas.2506796122
[Google Scholar]
PMid:40455992 PMCid:PMC12168027
- van Vuuren DP, Edmonds J, Kainuma M et al. (2011). The representative concentration pathways: An overview. Climatic Change, 109: 5. https://doi.org/10.1007/s10584-011-0148-z
[Google Scholar]
- Wang Y and Zhao T (2018). Impacts of urbanization-related factors on CO 2 emissions: Evidence from China’s three regions with varied urbanization levels. Atmospheric Pollution Research, 9(1): 15–26. https://doi.org/10.1016/j.apr.2017.06.002
[Google Scholar]
- WBG (2025). Climate change knowledge portal: Oman country summary. World Bank Group, Washington D.C., USA. Available online at: https://climateknowledgeportal.worldbank.org/country/oman
- WMO (2025a). WMO confirms 2024 as warmest year on record at about 1.55 °C above pre-industrial level. World Meteorological Organization, Geneva, Switzerland. Available online at: https://wmo.int/news/media-centre/wmo-confirms-2024-warmest-year-record-about-155degc-above-pre-industrial-level
- WMO (2025b). Global climate predictions show temperatures expected to remain at or near record levels in coming 5 years. World Meteorological Organization, Geneva, Switzerland. Available online at: https://wmo.int/news/media-centre/global-climate-predictions-show-temperatures-expected-remain-or-near-record-levels-coming-5-years
- Xu Z, Chen L, Qin P, and Ji X (2023). Projection and uncertainty analysis of future temperature change over the Yarlung Tsangpo-Brahmaputra River Basin based on CMIP6. Water, 15(20): 3595. https://doi.org/10.3390/w15203595
[Google Scholar]
|