Abstract
This study investigates sand and dust storms under RCP scenarios over the West Asia. The RegCM 4.7 was employed to simulate the dust event with non-hydrostatic core, a horizontal grid spacing of 20 km and 18 vertical sigma levels with the model top at 10 hPa. Data for running RegCM were extracted from the ICTP website and HadGEM2 database. The simulations were conducted for historical (1996–2005) and future (2021–2032) periods. The evaluation of HadGEM2 model using AERONET and MISR data revealed that the model could reproduce the aerosol features with a very high confidence. During the historical period, the AOD and DCB were strong in spring and summer with higher values mostly situated in Rab’ al Khali desert of Arabian Peninsula, Red Sea, and the east of Dasht-e Lut. The atmospheric pattern at SLP and 850 hPa levels revealed that these regions are affected by strong dust outflows from the dipole in pressure between Indian-Pakistan low-pressure and high-pressure systems in the north of Africa and Caspian Sea plus cyclogenesis during dust storms. Also, the positive values of aerosol asymmetry parameter proved that aerosols in inland area are associated with dust outflows from the Rab’ al Khali and the Dasht-e Lut deserts along with air pollution from industrial activities and the Sahara Desert dust in the coastal region. The future dust emission under RCP scenarios indicated that AOD and DCB values would diminish in all months especially in spring and the highest AOD would happen in the center and south of Arabian Peninsula, Red Sea, and southeast of Iran. Also, the dust emission flux would decrease in spring and increase in summer and fall as compared to present. The South Sinai and Arabian Peninsula would have the most frequent dust emission flux too, but the dust emission flux would significantly drop in the southeast of Iran. The results from RCPs also demonstrated that the wind speed mean would decrease and the mean of soil moisture increase by about 6–6.5 kg/m2 up to a depth of 10 cm in all RCP scenarios.
Similar content being viewed by others
Data availability
The data used in this paper have been prepared by referring to United States Geological Survey (USGS) from this link: https://www.usgs.gov/products/data.
Code availability
Not available.
Notes
The Intergovernmental Panel on Climate Change.
References
Aba A, Al-Dousari AM, Ismaeel A (2015) Depositional characteristics of 7Be and 210Pb in Kuwaiti dust. J Radioanal Nucl Chem 307(1):15–23
Aba A, Al-Dousari AM, Ismaeel A (2018) Atmospheric deposition fluxes of 137Cs associated with dust fallout in the northeastern Arabian Gulf. J Environ Radioact 192:565–572. https://doi.org/10.1016/j.jenvrad.2018.05.010
Abd El-Wahab R, Al-Rashed A, Al-Dousari A (2018) Influences of physiographic factors, vegetation patterns and human impacts on aeolian landforms in arid environment. Arid Ecosyst 8(2):97–110. https://doi.org/10.1134/S2079096118020026
Ahmed M, Al-Dousari NA-D (2016) The role of dominant perennial native plant species in controlling the mobile sand encroachment and fallen dust problem in Kuwait. Arab J Geosci 9(2):134. https://doi.org/10.1007/s12517-015-2216-6
Al Ameri ID, Briant R, Engels S (2019) Drought severity and increased dust storm frequency in the Middle East a case study from the Tigris-Euphrates alluvial plain central Iraq. weather 74(12):416–626
Albugami S, Palmer S, Cinnamon J, Meersmans J (2019) Spatial and temporal variations in the incidence of dust storms in Saudi Arabia revealed from in situ observations. geosciences 9(2):162
Al-Dousari A, Aba A, Al-Awadhi S, Ahmed M, Al-Dousari N (2016) Temporal and spatial assessment of pollen, radionuclides, minerals and trace elements in deposited dust within Kuwait. Arab J Geosci 9(2):95
Alexandri G, Georgoulias A, Zanis P, Katragkou E, Tsikerdekis A, Kourtidis K, Meleti C (2015) On the ability of RegCM4 regional climate model to simulate surface solar radiation patterns over Europe: an assessment using satellite-based observations. Atmos Chem Phys 15(22):13195–13216. https://doi.org/10.5194/acp-15-13195-2015
Al-Ghadban AN, Uddin S, Beg MU, Al-Dousari AM, Gevao B, Al-Yamani F (2008) Ecological consequences of river manipulations and drainage of Mesopotamian marshes on the Arabian Gulf ecosystem: investigations on changes in sedimentology a. Kuwait Inst Sci Res 9362:1–141
Al-Hemoud A, Al-Sudairawi M, Neelamanai S, Naseeb A, Behbehani W (2017) Socioeconomic effect of dust storms in Kuwait. Arab J Geosci 10(1):18. https://doi.org/10.1007/s12517-016-2816-9
Al-Hemoud A, Al-Dousari A, Al-Shatti A, Al-Khayat A, Behbehani W, Malak M (2018) Health impact assessment associated with exposure to PM10 and dust storms in Kuwait. Atmosphere 9(1):6. https://doi.org/10.3390/atmos9010006
Bucchignani E, Mercoglian P, Panitz H, Montesarchio M (2018) Climate change projections for the Middle East-North Africa domain with COSMO-CLM at different spatial resolutions. Adv Clim Chang Res 9(1):66–80
Dash S, Pattnayak K, Panda S, Vaddi D, AshuMamgain A (2015) Impact of domain size on the simulation of Indian summer monsoon in RegCM4 using mixed convection scheme and driven by HadGEM2. Clim Dyn 44:961–975. https://doi.org/10.1007/s00382-014-2420-1
De Souza K, Kituyi E, Harvey B, Leone M, Murali S, Ford J (2015) Vulnerability to climate change in three hot spots in Africa and Asia: key issues for policy-relevant adaptation and resilience-building research. Reg Environ Change 15:747–753. https://doi.org/10.1007/s10113-015-0755-8
Dickinson RE, Errico R, Giorgi F, Bates GT (1989) A regional climate model for the western United States. Clim Change 15(3):383–422. https://doi.org/10.1007/BF00240465
Duniway M, Pfennigwerth A, Fick S, Nauman T, Belnap J, Barger N (2019) Wind erosion and dust from US drylands: a review of causes, consequences, and solutions in a changing world. ECOSPHERE 10(3):e02650. https://doi.org/10.1002/ecs2.2650
Gao X, Shi Y, Zhang D, Giorgi F (2012) Climate change in China in the 21st century as simulated by a high resolution regional climate model. Sci Bull 57:1188–1195. https://doi.org/10.1007/s11434-011-4935-8
Giorgi F (2019) Thirty years of regional climate modeling: where are we and where are we going next? J Geophys Res: atmos 124(11):5696–5723. https://doi.org/10.1029/2018JD030094
Guo D, Wang H (2016) Comparison of a very-fine-resolution GCM with RCM dynamical downscaling in simulating climate in China. Adv Atmos Sci 33:559–570. https://doi.org/10.1007/s00376-015-5147-y
Han T, Pan X, Wang X (2021) valuating and improving the sand storm numerical simulation performance in Northwestern China using WRF-Chem and remote sensing soil moisture data. Atmos Res 251:105411. https://doi.org/10.1016/j.atmosres.2020.105411
Karami S, Hossein Hamzeh N, Alam K, Ranjbar A (2020) The study of a rare frontal dust storm with snow and rain fall: model results and ground measurements. J Atmos Solar Terr Phys 197:105149
Kok J, Ward D, Mahowald N, Evan A (2018) Global and regional importance of the direct dust-climate feedback. Nat Commun 9(1):241. https://doi.org/10.1038/s41467-017-02620-y
Korras-Carraca M, Hatzianastassiou N, Matsoukas C, Gkikas A, Papadimas C (2015) The regime of aerosol asymmetry parameter over Europe, the Mediterranean and the Middle East based on MODIS satellite data: evaluation against surface AERONET measurements. Atmos Chem Phys 15:13113–13132. https://doi.org/10.5194/acp-15-13113-2015
Krueger B, Grassian V, Cowin J, Laskin A (2004) Heterogeneous chemistry of individual mineral dust particles from different dust source regions: the importance of particle mineralogy. Atmos Environ 38(36):6253–6261
Lelieveld J, Proestos Y, Hadjinicolaou P, Tanarhte M, Tyrlis E, Zittis G (2016) Strongly increasing heat extremes in the Middle East and North Africa (MENA) in the 21st century. Clim Change 137:245–260. https://doi.org/10.1007/s10584-016-1665-6
Mashat A, Awad A, Assiri M, Labban H (2020) Dynamic and synoptic study of spring dust storms over northern Saudi Arabia. Theor Appl Climatol 140:619–634. https://doi.org/10.1007/s00704-020-03095-6
Maurya R, Mohanty M, Sinha P, Mohanty U (2020) Performance of hydrostatic and non-hydrostatic dynamical cores in RegCM4.6 for Indian summer monsoon simulation. Meteorol Appl 27(3):1–16
Middleton N (2019) Variability and trends in dust storm frequency on decadal timescales: climatic drivers and human impacts. Geosciences 9(6):261. https://doi.org/10.3390/geosciences9060261
Middleton N, Kang U (2017) Sand and dust storms: impact mitigation. Sustainability 9(6):1–22. https://doi.org/10.3390/su9061053
Modarres R, Sadeghi S (2018) Spatial and temporal trends of dust storms across desert regions of Iran. Nat Hazards 90(1):101–114. https://doi.org/10.1007/s11069-017-3035-8
Moosmüller H, Ogren JA (2017) Parameterization of the aerosol upscatter fraction as function of the backscatter fraction and their relationships to the asymmetry parameter for radiative transfer calculations. Atmosphere 8(8):133. https://doi.org/10.3390/atmos8080133
Park C, Min S, Lee D, Cha D, Suh M, Kang H, Kwon W (2016) Evaluation of multiple regional climate models for summer climate extremes over East Asia. Clim Dyn 46:2469–2486. https://doi.org/10.1007/s00382-015-2713-z
Powell JT, Chatziefthimiou A, Banack SA, Cox P, Metcalf J (2015) Desert crust microorganisms, their environment, and human health. J Arid Environ 112:127–133. https://doi.org/10.1016/j.jaridenv.2013.11.004
Rezazadeh M, Irannejad P, Shao Y (2013) Climatology of the Middle East dust events. Aeol Res 10:103–109
Russo S, Marchese A, Sillmann J, Imme’ G (2016) When will unusual heat waves become normal in a warming Africa? Environ Res Lett 11(5):054016. https://doi.org/10.1088/1748-9326/11/5/054016
Taylor K (2001) Summarizing multiple aspects of model performance in a single diagram. J Geophys Res 106(D7):7183–7192
van der Does M, Knippertz P, Zschenderlein P, Giles Harrison R, Stuut J (2018) The mysterious long-range transport of giant mineral dust particles. Sci Adv 4(12):1–9. https://doi.org/10.1126/sciadv.aau2768
Varga G (2020) Changing nature of Saharan dust deposition in the Carpathian Basin (Central Europe): 40 years of identified North African dust events (1979–2018). Environ Int 139:105712. https://doi.org/10.1016/j.envint.2020.105712
Wang J (2015) Mapping the global dust storm records: review of dust data sources in supporting modeling/climate study. Curr Pollut Rep 1(2):82–94. https://doi.org/10.1007/s40726-015-0008-y
World Bank (2019) Sand and dust storms in the Middle East and North Africa (MENA) region: sources, costs, and solutions. Washington. Retrieved from www.worldbank.org, Washington, DC
Yang B, Brauning A, Zhang Z, Zhibao D, Esper J (2007) Dust storm frequency and its relation to climate changes in Northern China during the past 1000 years. Atmos Environ 41(40):9288–9299
Zakey A, Solmon F, Giorgi F (2006) Implementation and testing of a desert dust module in a regional climatemodel. Atmos Chem Phys 6:4687–4704
Zhang D-FZ, Gao X-JG, Zakey A, Giorgi F (2016) Effects of climate changes on dust aerosol over East Asia from RegCM3. Adv Clim Chang Res 7:145–153
Gkikas, A., Hatzianastassiou, N., Mihalopoulos, N., Katsoulis, V., Kazadzis, S., Pey, J., . . . Torres, O. (2013). The regime of intense desert dust episodes in the Mediterranean based on contemporary satellite observations and ground measurements. Atmos. Chem. Phys., 13(23), 12135–12154. 10.5194/acp-13-12135-2013
Martin, G., Bellouin, N., Collins, W., Culverwell, I., Halloran, P., Hardiman, S., . . . Wiltshire, A. (2011). The HadGEM2 family of Met Office Unified Model climate configurations. Geosci Model Dev, 4(3), 723-757. 10.5194/gmd-4-723-2011
An, L., Che, H., Xue, M., Zhang, T., Wang, H., Wang, Y., . . . Zhang, X. (2018). Temporal and spatial variations in sand and dust storm events in East Asia from 2007 to 2016: relationships with surface conditions and climate change. Sci Total Environ 633, 452-462.
Arneth, A., Barbosa, H., Benton, T., Calvin, K., Calvo, E., Connors, S., . . . Denton, F. (2019). Summary for policymakers: climate change and land. IPCC special report on climate change.
Attiya, A., & Jones, B. (2020). Climatology of Iraqi dust events during 1980–2015. SN Applied Sciences, 845(2) https://doi.org/10.1007/s42452-020-2669-4
Baek, H., Lee, J., Lee, H., Hyun, Y., Cho, C., Kwon, W., . . . Byun, Y. (2013). Climate change in the 21st century simulated by HadGEM2-AO under representative concentration pathways. Asia-Pacific J Atmos Sci 49(5), 603–618. https://doi.org/10.1007/s13143-013-0053-7
Boucher, O. (2015). Atmospheric aerosols (propertise and climate impacts). springer.
Caesar, J., Palin, E., Liddicoat, S., Lowe, J., Burke, E., Pardaens, A., . . . Kahana, R. (2013). Response of the HadGEM2 earth system model to future greenhouse gas emissions pathways to the year 2300. Journal of Climate, 26(10), 3275-3284. https://doi.org/10.1175/JCLI-D-12-00577.1
Elguindi, N., Bi, X., Giorgi, F., Nagarajan, B., Pal, J., Solmon, F., . . . Giuliani, G. (2017). Regional climate model RegCM4.7. Trieste, Italy: the Abdus Salam International Centre for Theoretical Physics.
Francis, D., Chaboureau, J., Nelli, N., Cuesta, J., Alshamsi, N., Temimi, M., . . . Xue, L. (2021). Summertime dust storms over the Arabian Peninsula and impacts on radiation, circulation, cloud development and rain. Atmospheric Research, 250, 105364. Retrieved from https://doi.org/10.1016/j.atmosres.2020.105364
Giorgi, F., Coppola, E., Solmon, F., Mariotti, L., Sylla, M., Bi, X., . . . Steiner, A. (2012). RegCM4: model description and preliminary tests over multiple CORDEX domains. CLIMATE RESEARCH, 52, 7-29
Karydis, V., Tsimpidi, A., Bacer, S., Pozzer, A., Nenes, A., & Lelieveld, J. (2017). Global impact of mineral dust on cloud droplet number concentration. Atmospheric chemistry and physics, 5601–5621.
Khalil, M., L. Butenhoff, C., Porter, W., Almazroui, M., Alkhalaf, A., & Al-Sahafi, M. (2016). Air quality in Yanbu, Saudi Arabia. Journal of the Air & Waste Management Association, 66(4), 341-355. https://doi.org/10.1080/10962247.2015.1129999
Knippertz, P., & W. Stuut, J. (2014). Mineral dust, a key player in the earth system. Springer Dordrecht Heidelberg New York London. 0.1007/978-94-017-8978-3
Lee, D., & Cha, D. (2020). Regional climate modeling for Asia. Geoscience Letters, 7(13). Retrieved from https://doi.org/10.1186/s40562-020-00162-8
Liu, Y., Wang, G., Hu, Z., Shi, P., Lyu, Y., Zhang, G., . . . Liu, L. (2020). Dust storm susceptibility on different land surface types in arid and semiarid regions of northern China. Atmos Res, 243, 105031
Nouri, H., Faramarzi, M., Sadeghi, S., & Nasseri, S. (2019). Effects of regional vegetation cover degradation and climate change on dusty weather types. Environ Earth Sci, 723(78)https://doi.org/10.1007/s12665-019-8763-5
Rashki, A., Kaskaoutis, D., Mofidi, A., Minvielle, F., Chiapello, I., Legrand, M., . . . François, P. (2019). Effects of monsoon, Shamal and Levar winds on dust accumulation over the Arabian Sea during summer – The July 2016 case. Aeolian Res, 36(1), 27-44. https://doi.org/10.1016/j.aeolia.2018.11.002
Shepherd, G., Terradellas, E., baklanov, A., Kang, U., William A, S., & et, a. (2016). Global assessment of sand and dust storms. Nairobi: United Nations Environment Programme.
Sivakumar, M. (2005). Impacts of sand storms/dust storms on agriculture. In M. Sivakumar, R. Motha, & H. Das, Natural Disasters and Extreme Events in Agriculture (pp. 159–177). Berlin, Heidelberg: Springer. https://doi.org/10.1007/3-540-28307-2_10
Sørland, S., Schär, C., Lüthi, D., & Kjellström, E. (2018). Bias patterns and climate change signals in GCM-RCM model chains. Environ Res Lett, 13(7). https://doi.org/10.1088/1748-9326/aacc77
Tesfaye, M., Botai, J., Sivakumar, V., & Mengistu Tsidu, G. (2013). Evaluation of regional climatic model simulated aerosol optical properties over South Africa using ground-based and satellite observations. ISRN Atmos Sci, 2013(12).https://doi.org/10.1155/2013/237483
Thomas, D. (2011). Aeolian landscapes and bedforms. In D. Thomas, Arid Zone Geomorphology: Process, Form and (3rd ed., pp. 427–454). Wiley.
Waha, K., Krummenauer, L., Adams, S., Aich, V., Baarsch, F., Coumou, D., . . . Schleussner, C.-F. (2017). Climate change impacts in the Middle East and Northern Africa (MENA) region and their implications for vulnerable population groups. Reg Environ Change, 17, 1623–1638.
Funding
This work is financially supported and performed under the auspices of the Iran National Science Foundation and the University of Tarbiat Modares in the program of postdoctoral research projects.
Author information
Authors and Affiliations
Contributions
Fatemeh Rabbani conceived of the presented idea and developed the theory and performed the computations. Mohammad Sharifikia verified the analytical methods and supervised the findings of this work. All authors discussed the results and contributed to the final manuscript.
Corresponding author
Ethics declarations
Ethics approval
Not applicable.
Consent to participate
The data of this research were not prepared through a questionnaire.
Consent for publication
The authors give their consent to the publication of all details of this manuscript, including texts, figures, and tables.
Conflict of interest
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
Rabbani, F., Sharifikia, M. Prediction of sand and dust storms in West Asia under climate change scenario (RCPs). Theor Appl Climatol 151, 553–566 (2023). https://doi.org/10.1007/s00704-022-04240-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00704-022-04240-z