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Roshani, A., Hamidi, M. (2022). Forecasting the effects of climate change scenarios on temperature & precipitation based on CMIP6 models (Case study: Sari station). , 11(4), 781-795. doi: 10.22059/jwim.2022.330603.920
Adib Roshani; Mahdi Hamidi. "Forecasting the effects of climate change scenarios on temperature & precipitation based on CMIP6 models (Case study: Sari station)". , 11, 4, 2022, 781-795. doi: 10.22059/jwim.2022.330603.920
Roshani, A., Hamidi, M. (2022). 'Forecasting the effects of climate change scenarios on temperature & precipitation based on CMIP6 models (Case study: Sari station)', , 11(4), pp. 781-795. doi: 10.22059/jwim.2022.330603.920
Roshani, A., Hamidi, M. Forecasting the effects of climate change scenarios on temperature & precipitation based on CMIP6 models (Case study: Sari station). , 2022; 11(4): 781-795. doi: 10.22059/jwim.2022.330603.920

Forecasting the effects of climate change scenarios on temperature & precipitation based on CMIP6 models (Case study: Sari station)

مدیریت آب و آبیاری
Volume 11, Issue 4, February 2022, Pages 781-795    PDF (880.52 K)
Document Type: Research Paper
DOI: 10.22059/jwim.2022.330603.920
Authors
Adib Roshani1; Mahdi Hamidi* 2
1MSc Student, Department of Water and Hydraulic Structures, Factually of Civil Engineering, Babol Noshirvani University of Technology, Babol, Iran.
2Associate Professor, Department of Water and Hydraulic Structures, Factually of Civil Engineering, Babol Noshirvani University of Technology, Babol, Iran.
Abstract
Climate change has many impacts on all environmental processes and society. In this study, three models selected from Coupled Model Intercomparison Project Phase 6 (CMIP6) including ACCESS-CM2, HadGEM3-GC31-LL, and NESM3 are validated. The best model (i.e. ACCESS-CM2) is selected to simulate the climatic parameters of the Sari Station using the latest emission scenarios called “shared socioeconomic pathways (SSP).” The LARS-WG is adopted for downscaling, and two emission scenarios SSP2-4.5 and SSP5-8.5 are used for two periods 2041-2060 and 2081-2100, respectively. Several statistical tests are conducted including F-test, T-student, Kolomogrov-Smirnov, coefficient of determination (R2), and root mean square error (RMSE) to validate the LARS-WG model. The verification results indicate the efficiency of the LARS-WG model. The Man-Kendal and Sen’s slope tests are adopted to determine the trend of climatic observational parameters. In general, the results show that the average temperature change increases in the range of 1.16-4.09 °C and also the average annual rainfall increases by 24-36 percent. The Sen’s slope results in terms of maximum and minimum temperatures show an ascending trend in this parameter, but it is descending in the rainfall. Since long-term climate change is one of the factors affecting groundwater and surface resources, it is necessary to develop proper management strategies for the future, preserving ecosystems, and adapting humans to these changes.
Keywords
Downscaling; Emission Scenario; LARS-WG; SSP
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