CETD, a global compound events detection and visualisation toolbox and dataset

2023年12月14日·
殷聪
殷聪
,
Mingfang Ting
,
Kai Kornhuber
,
Radley M. Horton
,
Yaping Yang
,
Yelin Jiang
· 0 分钟阅读时长
在会议现场
摘要
Compound events (CEs) are attracting increased attention due to their significant societal and ecological impacts. However, their inherent complexity can pose challenges for climate scientists and practitioners, highlighting the need for a more approachable and intuitive framework for detecting and visualising CEs. Here, we introduce the Compound Events Toolbox and Dataset (CETD), which provides the first integrated, interactive, and extensible platform for CE detection and visualisation. Employing observations, reanalysis, and model simulations, CETD can quantify the frequency, duration, and severity of multiple CE types: multivariate, sequential, and concurrent events. It can analyse CEs often linked to severe impacts on human health, wildfires, and air pollution, such as hot-dry, wet-windy, and hot-dry-stagnation events. To validate the performance of CETD, we conduct statistical analyses for several high-impact events, such as the 2019 Australian wildfires and the 2022 European heatwaves. The accessibility and extensibility of CETD will benefit the broader community by enabling them to better understand and prepare for the risks and challenges posed by CEs in a warming world.
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殷聪
Authors
殷聪 (Cong Yin)
博士后

我专注于气候科学领域,致力于使用水文气候、数据驱动和空间统计方法,增进对野火和极端气候事件的理解。 目前以第一作者或通讯作者在Science Advances, Scientific Data等期刊发表论文10篇,以其他作者身份发表论文5篇,参与编写专著2部,授权发明专利1项。 研究成果获得Nature Briefing、Vox、The Conversation和The Debrief等知名科技媒体的采访或报道。

我目前在加州大学Merced分校做博士后,与John Abatzoglou教授合作,他领导着Climatology Lab