Multi-Hazard Scenarios of Extreme Compounded Events at the Local Scale Under Climate Change

As local risk assessments are fundamental for risk management and mitigation strategies, this work introduces a methodology for assessing multi-hazard scenarios of extreme compounded events and their duration using daily time series of surface variables from high-resolution climate simulations during historical and future periods under RCP8.5. The aim was to investigate the return level extremes of 20- and 50-year periods of hazards occurring within specific durations and concurrent extreme values of other surface variables, for selected locations in Greece. In addition, future changes in the temporal occurrence of compounded hazards involving precipitation and wind with temperature extremes were performed based on temperature extreme percentiles. The assessment revealed the geographical dependence in the projected occurrence, intensity, and duration of compounded multi-hazard extremes, emphasising the need for high spatial resolution climate data for their investigation. The highlights of the findings include a significant increasing trend of compounded multi-hazard extremes, e.g., hot days and tropical nights, milder winter minimum temperatures with lower rainfall extremes, hotter and windier events of shorter duration, and longer precipitation extremes with increased extreme temperatures. The projections showcased the impact of climate change on extreme compounds with a multitude of interesting findings associated with significant changes in their duration, intensity, and temporal occurrence.

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Publication Details

Journal
Atmosphere
Published
2025-08-26
DOI
https://doi.org/10.3390/atmos16091007
Citations
1
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
1.30
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article

Multi-Hazard Scenarios of Extreme Compounded Events at the Local Scale Under Climate Change

Athanasios Sfetsos, Nadia Politi, Diamando Vlachogiannis
1 citations
Atmosphere
Meteorological Phenomena and Simulations
1.30
article

Multi-Hazard Scenarios of Extreme Compounded Events at the Local Scale Under Climate Change

Athanasios Sfetsos, Nadia Politi, Diamando Vlachogiannis
article en
1 citations

Abstract

As local risk assessments are fundamental for risk management and mitigation strategies, this work introduces a methodology for assessing multi-hazard scenarios of extreme compounded events and their duration using daily time series of surface variables from high-resolution climate simulations during historical and future periods under RCP8.5. The aim was to investigate the return level extremes of 20- and 50-year periods of hazards occurring within specific durations and concurrent extreme values of other surface variables, for selected locations in Greece. In addition, future changes in the temporal occurrence of compounded hazards involving precipitation and wind with temperature extremes were performed based on temperature extreme percentiles. The assessment revealed the geographical dependence in the projected occurrence, intensity, and duration of compounded multi-hazard extremes, emphasising the need for high spatial resolution climate data for their investigation. The highlights of the findings include a significant increasing trend of compounded multi-hazard extremes, e.g., hot days and tropical nights, milder winter minimum temperatures with lower rainfall extremes, hotter and windier events of shorter duration, and longer precipitation extremes with increased extreme temperatures. The projections showcased the impact of climate change on extreme compounds with a multitude of interesting findings associated with significant changes in their duration, intensity, and temporal occurrence.

AtmosphereVol. 16(9)
National Centre of Scientific Research "Demokritos" (GR)
Openalex Percentile: Top 19%
Meteorological Phenomena and Simulations
1.30
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Multi-Hazard Scenarios of Extreme Compounded Events at the Local Scale Under Climate Change — Athanasios Sfetsos, Nadia Politi, et al. · Atmosphere (2025) | TGRS Research Map | TGRS