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ORIGINAL RESEARCH article

Front. Clim.
Sec. Predictions and Projections
Volume 6 - 2024 | doi: 10.3389/fclim.2024.1511608

Dynamic Downscaling of Climate Projections Using WRF-CCSM4: Future Soil Temperature Predictions for the Arabian Peninsula and Kuwait

Provisionally accepted
Hussain Alsarraf Hussain Alsarraf *
  • American University of Kuwait, Safat, Kuwait

The final, formatted version of the article will be published soon.

    This study employs the Weather Research and Forecasting (WRF) model to dynamically downscale climate projections from the Community Climate System Model version 4 (CCSM4) using 12 km and 4km high grid resolutions. The performance of the WRF-CCSM4 configuration is evaluated against observational data from the Automated Weather Observing Systems of Kuwait (AWOSK). The analysis focuses on future predictions for maximum soil temperature during the summer months from May to September for the period 2050-2060. The findings indicate a projected increase in average soil temperatures of 1-3°C across the Arabian Peninsula and Kuwait. Notably, the results demonstrate that the 4-km high-resolution WRF domain, is more effective framework for accurate weather and climate predictions in this region. These insights underscore the importance of high-resolution modelling in understanding and mitigating the impacts of climate change, particularly in arid environments like Kuwait and the broader Arabian Peninsula.

    Keywords: WRF, CCSM4, Future climate predictions, soil temperature, Climate Change

    Received: 15 Oct 2024; Accepted: 18 Nov 2024.

    Copyright: © 2024 Alsarraf. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Hussain Alsarraf, American University of Kuwait, Safat, Kuwait

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.