Climatic Zoning of South Khorasan Province in the Future Using General Circulation Models

سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 44

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شناسه ملی سند علمی:

JR_WHR-6-2_001

تاریخ نمایه سازی: 19 دی 1402

چکیده مقاله:

Climate is a complex system that is affected by changes in climatic parameters. By predicting and examining the range of changes in meteorological parameters in the future, it is possible to adopt appropriate solutions to reduce the harmful effects of climate change. Using atmospheric general circulation models is the most reliable method. In this study, precipitation, maximum and minimum temperatures of five synoptic stations of Birjand, Qaen, Nehbandan, Ferdows and Tabas, for the base period of ۱۹۸۸ to ۲۰۰۵ as well as the outputs of six climate models of CanESM۲, GFDL-CM۳, CSIRO-MK۳, MPI-ESM - LR, MIROC-ESM and GISS-ES-R, were collected under RCP۸.۵ and RCP۴.۵ emission scenarios for a ۱۶-year period (۲۰۲۰-۲۰۳۵) and downscaled using the LARS-WG۵.۰ model. Then, using the RMSE and MAE statistical indices, the quality of the down-scale representation was evaluated. Afterwards, by calculating the climate classification indices of De Martonne and Amberger, the province was classified with the help of GIS software. De Martonne classification indicates that the climate of the province will not change in the near future compared to the base period while based on the classification of Amberger and under all six models and both scenarios, Birjand, Qaen and Ferdows cities are predicted to have temperate climate and Tabas city is expected have a hot and mild desert climate. For Nehbandan city, the GFDL-CM۳, CSIRO-MK۳ and GISS-ES-R models of the fifth report under the RCP۴.۵ scenario predicted a moderate climate and the rest of the large-scale models predicted a moderate desert climate.

نویسندگان

Mahdi Amirabadizadeh

Assistant Professor, Department of Water Engineering, University of Birjand, Birjand, Iran & Research Group of Drought and Climate Change, University of Birjand, Birjand, Iran.

Mohammad Puyafar

MSc in Water Resources, Department of Water Engineering, University of Birjand, Birjand, Iran.

Mostafa Yaghoobzadeh

Associate Professor, Department of Water Engineering, University of Birjand, Birjand, Iran & Research Group of Drought and Climate Change, University of Birjand, Birjand, Iran.

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  • Allahverdipour, P., Ghorbani, M. A., & Asadi, E. (۲۰۲۳). Evaluating ...
  • Bandari Khalafabadi, V., Shakiba, A., & Azimi, F. (۲۰۱۲). Prediction ...
  • Delghandi, M. (۲۰۱۱). Investigating the impact of climate change on ...
  • FAO, (۲۰۰۷). Adaptation to climate change in agriculture, forestry and ...
  • Khosravi, M. & Aramesh, M. (۲۰۱۱). Climatic zoning of Central ...
  • Kilsby, C.G., Jones, P.D., Burton, A., Ford, A.C., Fowler, H. ...
  • Mohammadlu M., & Tahmasbipour, N. (۲۰۱۷). Assessment of the effects ...
  • Peel, M. C., Finlayson, B. L., & McMahon, T. A. ...
  • Rahimi, J., Laux, P., & Khalili, A. (۲۰۲۰). Assessment of ...
  • Semenov, M. A., & Barrow, E.M. (۱۹۹۷). Use of a ...
  • Soltani, A., & Hoogenboom, G. (۲۰۰۳). Minimum data requirements for ...
  • Taghavi, F., Naseri, M., Bayat, B., Metolian, S. S., & ...
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