Probabilistic assessment of climate indices across Europe: analysing risk exposure in population density and land use types

We present a probabilistic approach to climate indices to derive high exposure zones across the European continent, utilizing high-resolution observed data over the last 70 years. 56 distinct climate indices related to drought, global radiation, precipitation, relative humidity, sea level pressure, and temperature are identified, shedding light on the complexity and multifaceted nature of risks encountered by European regions during co-occurrences of the different climatic events. Our findings suggest that precipitation and temperature-based indices are particularly useful in identifying high-risk regions in southern and southeastern Europe, whereas precipitation-based indices are for Northern and Western Europe. Temperature indices and potential evapotranspiration account for most risk exposure to Europe’s dominant land use type. The highest exposure percentage of the population occurs with differences in days above and below the maximum temperature of 17 °C. About 17 climate indices with high-risk magnitudes are present regionally and in specific months, emphasizing diverse risk exposure. Russia, Norway, Iceland, and Sweden experience diverse high-risk co-occurrences, with multiple climate indices related to precipitation and temperature. The findings expand the range of climate indices and demarcate hotspots and risk zones, allowing for more effective climate monitoring and risk mitigation strategies.

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Publication Details

Journal
Geomatics Natural Hazards and Risk
Published
2025-04-04
DOI
https://doi.org/10.1080/19475705.2025.2484397
Citations
1
Primary Topic
Hydrology and Drought Analysis
Type
article
Field-Weighted Citation Impact
1.11
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article

Probabilistic assessment of climate indices across Europe: analysing risk exposure in population density and land use types

Monica Ioniță, Smit Chetan Doshi, Gerrit Lohmann
1 citations
Geomatics Natural Hazards and Risk
Hydrology and Drought Analysis
1.11
article

Probabilistic assessment of climate indices across Europe: analysing risk exposure in population density and land use types

Monica Ioniță, Smit Chetan Doshi, Gerrit Lohmann
article en
1 citations

Abstract

We present a probabilistic approach to climate indices to derive high exposure zones across the European continent, utilizing high-resolution observed data over the last 70 years. 56 distinct climate indices related to drought, global radiation, precipitation, relative humidity, sea level pressure, and temperature are identified, shedding light on the complexity and multifaceted nature of risks encountered by European regions during co-occurrences of the different climatic events. Our findings suggest that precipitation and temperature-based indices are particularly useful in identifying high-risk regions in southern and southeastern Europe, whereas precipitation-based indices are for Northern and Western Europe. Temperature indices and potential evapotranspiration account for most risk exposure to Europe’s dominant land use type. The highest exposure percentage of the population occurs with differences in days above and below the maximum temperature of 17 °C. About 17 climate indices with high-risk magnitudes are present regionally and in specific months, emphasizing diverse risk exposure. Russia, Norway, Iceland, and Sweden experience diverse high-risk co-occurrences, with multiple climate indices related to precipitation and temperature. The findings expand the range of climate indices and demarcate hotspots and risk zones, allowing for more effective climate monitoring and risk mitigation strategies.

Geomatics Natural Hazards and RiskVol. 16(1)
Ştefan cel Mare University of Suceava (RO), Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung (DE), University of Bremen (DE)
Climate action
Openalex Percentile: Top 26%
Hydrology and Drought Analysis
1.11
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Probabilistic assessment of climate indices across Europe: analysing risk exposure in population density and land use types — Monica Ioniță, Smit Chetan Doshi, et al. · Geomatics Natural Hazards and Risk (2025) | TGRS Research Map | TGRS