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Impact of Climate Change on Meteorological Parameters Using the CMIP6 Model | ||
| مجله پژوهش های خشکسالی و تغییراقلیم | ||
| دوره 3، شماره 4 - شماره پیاپی 12، اسفند 1404، صفحه 1-22 اصل مقاله (1.06 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22077/jdcr.2025.9386.1141 | ||
| نویسندگان | ||
| Ebrahim Nohani* 1؛ Hamidreza Babaali2؛ Reza Dehghani3 | ||
| 1Department of Civil Engineering, Materials and Energy Research Center, Dez.C., Islamic Azad University, Dezful, Iran. | ||
| 2Associate Professor, Department of Civil Engineering, Islamic Azad University, Khorramabad branch, Iran | ||
| 3PhD in Water Science and Engineering, Soil and Water Conservation Research Section, Lorestan Provincial Research Center for Agriculture and Natural Resources, Areeo, Khorramabad, Iran. | ||
| چکیده | ||
| Human society and the environment face significant challenges due to climate change. Climate change is predicted to cause an increase in global surface temperatures. These changes do not occur uniformly across the globe, making it necessary to examine them at a regional level. Investigating and evaluating these changes in each region is essential for a more accurate understanding of future challenges and related planning. Therefore, this research investigates the impact of climate change on meteorological parameters in the Khorramabad plain, located in Lorestan province, using the CanESM2.0 climate prediction model, in accordance with the CMIP6 sixth assessment report. The study utilizes temperature and precipitation data recorded from 2002 to 2022. Subsequently, based on designed emission scenarios—including the optimistic SSP1-2.6, the intermediate SSP2-4.5, and the pessimistic SSP5-8.5 scenarios—the future atmospheric conditions for a twenty-year period (2022-2042) were predicted. The results indicate that CanESM2.0 performs well in simulating temperature parameters but has less capability in simulating precipitation. The results also show that the simulated temperature under the SSP1-2.6 emission scenario increases in all months during the future period (2022-2042) compared to the baseline period. The average precipitation in the future period does not show a specific pattern for the three models used. Overall, the results of this research can contribute to future water resource management, the creation of effective programs to combat climate change, and provide a basis for informed decision-making and appropriate planning. | ||
| کلیدواژهها | ||
| Climate Change؛ Khorramabad؛ Simulation؛ General Circulation Model | ||
| مراجع | ||
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