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

Area of Science:

• Climate Science
• Environmental Science
• Data Science

Background:

• Compound events (CEs) pose significant societal and ecological risks.
• The complexity of CEs challenges current detection and visualization methods.
• There is a need for accessible frameworks to study CEs.

Purpose of the Study:

• Introduce the Compound Events Toolbox and Dataset (CETD).
• Provide an integrated, interactive, and extensible platform for CE analysis.
• Enhance understanding and preparation for CEs.

Main Methods:

• Utilized observations, reanalysis, and model simulations.
• Developed methods for quantifying CE frequency, duration, and severity.
• Included analysis of multivariate, sequential, and concurrent event types.

Main Results:

• CETD enables quantification of various CE types, including hot-dry, wet-windy, and hot-dry-stagnation events.
• Validated CETD performance using high-impact events like the 2019 Australian wildfires and 2022 European heatwaves.
• Demonstrated the tool's capability to analyze CEs linked to human health, wildfires, and air pollution.

Conclusions:

• CETD is the first integrated platform for CE detection and visualization.
• The tool's accessibility and extensibility will benefit the scientific community.
• CETD aids in understanding and preparing for CEs in a warming world.