Raju Pathak, Hari Prasad Dasari, Karumuri Ashok, Ibrahim Hoteit
{"title":"Dynamics of intensification of extreme precipitation events over the Arabian Peninsula derived from CMIP6 simulations","authors":"Raju Pathak, Hari Prasad Dasari, Karumuri Ashok, Ibrahim Hoteit","doi":"10.1038/s41612-025-01016-w","DOIUrl":null,"url":null,"abstract":"<p>This study derives historical and future changes in extreme precipitation events (EPEs) across the Arabian Peninsula (AP) using data from CMIP6 models. Both the frequency and intensity of EPEs are lower in historical CMIP6 data compared to observations. Despite this bias, CMIP6 models offer valuable insights into future climate projections. Across all emission-scenarios, significant increases in EPEs frequency and intensity are expected over the AP. Under the high-emission scenario (SSP5-8.5), some regions may experience a doubling of EPEs by the end-of-the-21st-century. This rise is attributed to several climate change-driven factors, including the southward-shift and intensification of subtropical-westerly-jet, increased transient activity, enhanced dynamical lifting, and increased moisture transport from nearby seas. These factors suggest a future atmosphere that will be more dynamic and moisture-rich than today. While these CMIP6 insights are crucial for guiding adaptation and mitigation strategies, enhanced EPE modeling is essential for precise decision-making amid rising future risks.</p>","PeriodicalId":19438,"journal":{"name":"npj Climate and Atmospheric Science","volume":"23 1","pages":""},"PeriodicalIF":8.5000,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"npj Climate and Atmospheric Science","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1038/s41612-025-01016-w","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
This study derives historical and future changes in extreme precipitation events (EPEs) across the Arabian Peninsula (AP) using data from CMIP6 models. Both the frequency and intensity of EPEs are lower in historical CMIP6 data compared to observations. Despite this bias, CMIP6 models offer valuable insights into future climate projections. Across all emission-scenarios, significant increases in EPEs frequency and intensity are expected over the AP. Under the high-emission scenario (SSP5-8.5), some regions may experience a doubling of EPEs by the end-of-the-21st-century. This rise is attributed to several climate change-driven factors, including the southward-shift and intensification of subtropical-westerly-jet, increased transient activity, enhanced dynamical lifting, and increased moisture transport from nearby seas. These factors suggest a future atmosphere that will be more dynamic and moisture-rich than today. While these CMIP6 insights are crucial for guiding adaptation and mitigation strategies, enhanced EPE modeling is essential for precise decision-making amid rising future risks.
期刊介绍:
npj Climate and Atmospheric Science is an open-access journal encompassing the relevant physical, chemical, and biological aspects of atmospheric and climate science. The journal places particular emphasis on regional studies that unveil new insights into specific localities, including examinations of local atmospheric composition, such as aerosols.
The range of topics covered by the journal includes climate dynamics, climate variability, weather and climate prediction, climate change, ocean dynamics, weather extremes, air pollution, atmospheric chemistry (including aerosols), the hydrological cycle, and atmosphere–ocean and atmosphere–land interactions. The journal welcomes studies employing a diverse array of methods, including numerical and statistical modeling, the development and application of in situ observational techniques, remote sensing, and the development or evaluation of new reanalyses.