Using the LARS-WG Model to Predict the Maximum Temperature in Zakho City, Iraq

Climate change has significantly impacted residential environments in many parts of the world. Scientists are nowadays more motivated to study and predict future changes in essential climatic elements, including temperature, to provide helpful reference results for future planning and managing. This study aims to estimate the impact of global warming on Zakho City, northern Iraq. The daily maximum temperatures are downscaled using the Long Ashton Research Station Weather Generator (LARS-WG) model based on the SSP585 scenario. Five General Circulation Models (GCMs) outputs are used for the selected period (2021-2040). The results exhibit that the statistical analysis validated the LARS-WG model’s ability and dependability to downscale maximum temperature time series, and the average of five GCMs showed a rise in the monthly data of the studied period compared to the reference period (1985-2015). The predicted increase for the maximum temperature ranges between 1.4 to 2.7 ºC. The obtained results of the current research have the chance to improve comprehension of how the urban environment is affected by climate change and motivate stakeholders and planners to identify the most effective means of reducing these effects

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Publication Details

Journal
Wasit Journal of Engineering Sciences
Published
2024-12-01
DOI
https://doi.org/10.31185/ejuow.vol12.iss4.563
Citations
1
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
0.21
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article

Using the LARS-WG Model to Predict the Maximum Temperature in Zakho City, Iraq

Salah L. Zubaidi, Sura Mohammed Abdulsahib, Nadheer Ayoob
1 citations
Wasit Journal of Engineering Sciences
Air Quality Monitoring and Forecasting
0.21
article

Using the LARS-WG Model to Predict the Maximum Temperature in Zakho City, Iraq

Salah L. Zubaidi, Sura Mohammed Abdulsahib, Nadheer Ayoob
article en
1 citations

Abstract

Climate change has significantly impacted residential environments in many parts of the world. Scientists are nowadays more motivated to study and predict future changes in essential climatic elements, including temperature, to provide helpful reference results for future planning and managing. This study aims to estimate the impact of global warming on Zakho City, northern Iraq. The daily maximum temperatures are downscaled using the Long Ashton Research Station Weather Generator (LARS-WG) model based on the SSP585 scenario. Five General Circulation Models (GCMs) outputs are used for the selected period (2021-2040). The results exhibit that the statistical analysis validated the LARS-WG model’s ability and dependability to downscale maximum temperature time series, and the average of five GCMs showed a rise in the monthly data of the studied period compared to the reference period (1985-2015). The predicted increase for the maximum temperature ranges between 1.4 to 2.7 ºC. The obtained results of the current research have the chance to improve comprehension of how the urban environment is affected by climate change and motivate stakeholders and planners to identify the most effective means of reducing these effects

Wasit Journal of Engineering SciencesVol. 12(4)
University of Wasit (IQ)
Climate action
Openalex Percentile: Top 47%
Air Quality Monitoring and Forecasting
0.21
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Using the LARS-WG Model to Predict the Maximum Temperature in Zakho City, Iraq — Salah L. Zubaidi, Sura Mohammed Abdulsahib, et al. · Wasit Journal of Engineering Sciences (2024) | TGRS Research Map | TGRS