Climatological hazard indicators for a robust and integrated energy infrastructure in Austria

The energy sector faces constant challenges due to the anticipated green transition and the underlaying change of climate. To be able to assess potential risks during the transition towards renewable energy sources, we present ROBINE-AT, an impact-oriented climatological dataset for Austria, consisting of 41 hazard maps for the Global Warming Levels 1.0 °C (corresponding to 2001-2020), 2.0 °C, 3.0 °C and 4.0 °C. The maps cover potential hazards for Austria's energy system due to various impacts, including heat and cold stress, wind, extreme precipitation, floods, droughts, humidity, lightning strikes, and wildfires. The data is based on six localized and bias-adjusted climate projections of the CMIP5 and CMIP6 generation. With a diverse set of indicators and a high spatial resolution of 1 km, ROBINE-AT provides an innovative blueprint for assessing climate hazards, targeting regions with complex mountainous terrain such as Austria. Additionally, insights into climate impacts on the energy sector are provided, enabling tailored risk assessments by combining the hazards with custom exposure and vulnerability data.

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Publication Details

Journal
Scientific Data
Published
2025-11-24
DOI
https://doi.org/10.1038/s41597-025-06121-2
Citations
1
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.73

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article

Climatological hazard indicators for a robust and integrated energy infrastructure in Austria

Marianne Bügelmayer‐Blaschek, Kristofer Hasel, Lukas Liebmann, Fabian Lehner et al.
1 citations
Scientific Data
Integrated Energy Systems Optimization
0.73
article

Climatological hazard indicators for a robust and integrated energy infrastructure in Austria

Marianne Bügelmayer‐Blaschek, Kristofer Hasel, Lukas Liebmann, Fabian Lehner, Herbert Formayer, Demet Suna, Philipp Maier, Romana Berg
article en
1 citations

Abstract

The energy sector faces constant challenges due to the anticipated green transition and the underlaying change of climate. To be able to assess potential risks during the transition towards renewable energy sources, we present ROBINE-AT, an impact-oriented climatological dataset for Austria, consisting of 41 hazard maps for the Global Warming Levels 1.0 °C (corresponding to 2001-2020), 2.0 °C, 3.0 °C and 4.0 °C. The maps cover potential hazards for Austria's energy system due to various impacts, including heat and cold stress, wind, extreme precipitation, floods, droughts, humidity, lightning strikes, and wildfires. The data is based on six localized and bias-adjusted climate projections of the CMIP5 and CMIP6 generation. With a diverse set of indicators and a high spatial resolution of 1 km, ROBINE-AT provides an innovative blueprint for assessing climate hazards, targeting regions with complex mountainous terrain such as Austria. Additionally, insights into climate impacts on the energy sector are provided, enabling tailored risk assessments by combining the hazards with custom exposure and vulnerability data.

Scientific DataVol. 12(1)
AIT Austrian Institute of Technology GmbH (AT), Gregor Mendel Institute of Molecular Plant Biology (AT)
Klima- und Energiefonds, Österreichische Forschungsförderungsgesellschaft
Openalex Percentile: Top 21%
Integrated Energy Systems Optimization
0.73
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