Future projection of climatic elements over Yazd province using RCP scenarios

Journal Title: Arid Regions Geographic Studies - Year 2023, Vol 14, Issue 52

Abstract

Aim: The aim of this research is the future projection of climatic elements over the northwest Yazd province using RCP scenarios. Material & Method: This study uses simulating the climate variables, namely, precipitation and average temperature of Yazd province in the baseline period (2001-2020), by using the LARS-WG6.0 model and four models of CMIP5, for three possible emission scenarios (such as RCP 2.6, RCP 4.5, and RCP 8.5). By introducing the best model, it uses downscaling the climate variables for the future 2026-2055 and 2071- 2100. Finding: According to the results, BCC-CSM1-1 and NorESM1-M models are introduced as the best models in projecting the mentioned variables with low error and acceptable NRMSE. The most significant increase in the temperature variable will occur in the period 2100-2071 and RCP8.5, so the temperature in the NorESM1-M model increases from 1.13 to 3.93 degrees Celsius in scenarios 2.6 and 8.5, respectively. The amount of rainfall in 2071-2100 will decrease compared to 2055-2026, and in some stations, it will increase or decrease compared to the average of the base period. Conclusion: In future periods, the temperature will increase in the region and the greatest increase in RCP8.5. Precipitation in the future fluctuates so that it will have the most remarkable changes in RCP2.6. Innovation: In this research, for future projection of climatic elements over the northwest Yazd province using GCM-CMIP5 models and RCP scenarios (RCP2.6, 4.5, and 8.5). After analyzing the error statistics, we chose BCC-CSM1-1 and NorESM1-M models to project future temperature and rainfall and better understand the region's climate. Therefore, the results of this study can be applied to regional planning, including meteorology, water resource management, and combating desertification. Â

Authors and Affiliations

Azam Sadat Hosseini Khezr Abad,AbbasAli Vali,Amirhossein Halabian,Mohammad Hossein Mokhtari,

Keywords

Related Articles

Feasibility Study of Good Urban Governance for Maku City

Aim: The ever-increasing population of cities has created many problems for city management. Solving these problems has become a big challenge for urban management. Scientific and research centers and international organ...

Environmental impact Assessment of the development and Construction of the steel project with the rapid assessment matrix method (case study: Joveyn Sabzevar steel project)

Aim: The purpose of this research is to evaluate the positive and negative effects of the implementation of the steel project in joveyn city on the environment around it using the rapid impact assessment matrix of RIAM,...

Estimation of simulated precipitation uncertainty by using statistical models (Case study: Northwest of Iran)

In this research, the precipitation data needed for the stations of the study area during the statistical period of 1981-2015 was obtained from the Meteorological Statistics Center. To predict and produce statistical dat...

Investigating the challenges and obstacles of ecotourism resorts from the perspective of experts and stakeholders (Case study: rural areas of Khor and Biabank

In this article, we want to investigate the barriers and challenges of ecotourism resorts from the perspective of experts and stakeholders using the Delphi method and confirmatory factor analysis. The study is an applied...

The assesment and analysis of geodiverity on Binaloud mountains

Aim: This research aims to identify, interpret, and evaluate the elements of geodiversity to organize specific areas and the whole earth and coordinate conservation or efficient management.Materials and Method: This rese...

Download PDF file
  • EP ID EP744406
  • DOI -
  • Views 5
  • Downloads 0

How To Cite

Azam Sadat Hosseini Khezr Abad, AbbasAli Vali, Amirhossein Halabian, Mohammad Hossein Mokhtari, (2023). Future projection of climatic elements over Yazd province using RCP scenarios. Arid Regions Geographic Studies, 14(52), -. https://europub.co.uk/articles/-A-744406