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<p>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.</p>

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年11月24日

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  • Philipp Maier,
  • Lukas Liebmann,
  • Kristofer Hasel,
  • Romana Berg,
  • Fabian Lehner,
  • Marianne Bügelmayer-Blaschek,
  • Herbert Formayer,
  • Demet Suna

摘要

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.