Interests & Projects | 殷聪

Data

Sun, 21 Jun 2026 00:00:00 +0000

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.

Fire

Sun, 21 Jun 2026 00:00:00 +0000

Concurrent extreme fire weather creates favorable conditions for widespread large fires, which can complicate the coordination of fire suppression resources and degrade regional air quality. Here, we examine the patterns and trends of intra- and interregional synchronous fire weather (SFW) and explore their links to climate variability and air quality impacts. We find climatologically elevated intraregional SFW in boreal regions, as well as interregional synchronicity among northern temperate and boreal regions. Significant increases in SFW occurred during 1979 to 2024, with more than a twofold increase observed in most regions. We estimate that over half of the observed increase is attributable to anthropogenic climate change. Internal modes of climate variability strongly influence SFW in several regions, including Equatorial Asia, which experiences 43 additional intraregional SFW days during El Niño years. Furthermore, SFW is strongly correlated with regional fire-sourced PM2.5 in multiple regions globally. These findings highlight the growing challenges posed by SFW for firefighting coordination and human health.

气候

Sun, 21 Jun 2026 00:00:00 +0000

本文聚焦于极端气候事件的演变机制、复合风险及其对社会与生态系统的广泛影响，主要涵盖以下三大核心研究领域：

🌪️ 复合极端事件与物理机制

探究不同类型极端气候事件之间的时空叠加与物理联系，主导开发了全球复合极端事件检测与可视化工具箱（CETD），为系统性定量评估多重气象灾害的复合风险提供了标准化工具。

📚 相关论文：

🌍 社会经济暴露度与适应策略

评估未来不同升温情景下全球及重点区域（如“一带一路”沿线）热浪的时空演变，量化其对人类社会的暴露度风险。同时，基于“气候相似性”（Climate Analogs）理论，为中国城市的未来气候适应与城市规划提供直观的科学参照。

📚 相关论文：

🌱 陆表过程与生态系统响应

诊断区域尺度（如秦岭地区）春季植被物候的主要气候驱动因子，探析北半球积雪变化对地气系统辐射平衡的扰动，揭示气候异常在地表物理过程与生态系统中的级联效应。

📚 相关论文：