支持区域和国际合作研究极端气候预测和预估组合:研讨会摘要

June‐Yi Lee, W. Merryfield, Sang-Myeoung Moon, Suhee Han
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引用次数: 0

摘要

极端天气和气候对社会有着巨大的影响,随着全球变暖,极端天气和气候正变得越来越严重和频繁。亚太地区大多数发展中国家极易受到热浪和寒流、干旱和洪水、热带气旋、野火和其他极端天气相关风险的影响。为了支持亚太地区天气和气候极端事件研究的区域和国际合作,世界气候研究计划(WCRP)在亚太全球变化研究网络(APN)的支持下,于2021年10月25日至28日主办了气候预测集合中的极端事件(excens)在线研讨会。研讨会的目的是促进快速发展的利用亚季节、季节、年度到十年和长期预测组合的科学,以提高对天气和气候极端事件的预测和理解。在excens研讨会之后,举办了一个早期职业科学家(ECS)活动,包括APN成员发展中国家的早期职业科学家的讨论和网络论坛,以及一系列的早期职业科学家培训讲座和讨论会。通过研讨会和利益相关者之间的讨论,交流了关于天气和极端气候预测和未来变化的重要科学成果。此外,还确定了跨越这些不同时间尺度的新研究课题,并对其进行了优先排序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Supporting regional and international cooperation in research on extremes in climate prediction and projection ensembles: Workshop summary
Weather and climate extremes have enormous impacts on society, and are becoming more severe and frequent as the world warms. Most developing countries in the Asia-Pacific region are highly vulnerable to risks associated with heatwaves and cold spells, droughts and floods, tropical cyclones, wildfires, and other extremes. To support regional and international cooperation for research on weather and climate extremes in the Asia-Pacific region, the World Climate Research Programme (WCRP) hosted an online workshop on Extremes in Climate Prediction Ensembles (ExCPEns) from 25 to 28 October 2021 with the support of Asia-Pacific Network for Global Change Research (APN). The workshop aimed to advance the rapidly emerging science of exploiting subseasonal, seasonal, annual to decadal and long-term prediction ensembles to improve the prediction and understanding of weather and climate extreme events. An Early Career Scientist (ECS) event followed the ExCPEns workshop and consisted of a discussion and networking forum for ECS from APN member developing countries, along with a series of ECS training lectures and discussion sessions. Through the workshop and discussions among stakeholders, important scientific results on prediction and future changes in weather and climate extremes were communicated. Moreover, new research topics spanning these different time scales were identified and prioritized.
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