Demonstration Case Name Hot-Dry Compound events in the upper Adige River basin (Italian Alps) Dataset Name/Title Impact chains and data sources Dataset Description This document provides firstly impact chains visualising the risk of risk of hot and dry events for the upper Adige River Basin. The impact chains systematically link climatic hazards like heatwaves, prolonged drought, and reduced snowfall to socio-economic and environmental consequences across sectors such as agriculture, hydropower, public health, ecosystems, and tourism. Special emphasis is placed on the agricultural sector, where vulnerabilities—such as reliance on drought-sensitive crops and inefficient irrigation—compound water stress and threaten food production and livelihoods. The analysis also shows adaptation measures such as smart irrigation, crop diversification, and cross-sectoral governance improvements. Secondly the document contains an overview list of available Earth Observation (EO) and non-EO datasets that support a potential quantitative analysis, enhancing the methodological foundation for spatially explicit climate resilience planning Key Methodologies The climate risk impact chain methodology was implemented enabling to assess climate-related risks by identifying and visualising the interactions between hazard, exposure, vulnerability and adaptation options. Temporal Domain Present and Future Spatial Domain Upper Adiger River Basin covering the Autonomous provinces of Bolzano and Trento Key Variables/Indicators Climate hazard, exposure, vulnerability, impact, adaptation option Data Format PDF Source Data Literature review Accessibility 10.5281/zenodo.15405553 Stakeholder Relevance Impact chains are a useful tool to collect climate risk information in a strucutred way from local experts. An impact chain created based on literature review as in case of the Upper Adige River demonstration case allows to provide climate risk driver information, cascading effects and adaptation options to stakeholders and decision makers, providing a basis on which local, context-specific information can be added. Limitations/Assumptions Regarding the impact chains created based on literature research further work could be conducted validating the risk factors with local experts. Also the list of datasets could be enhanced by reviewing additional existing global, regional and local datasets. Relevant datasets, which are not publicly available, were not added to the table. Additional Outputs/Information Contact Information Renner, Kathrin (Center for Climate Change and Transformation, Eurac Research, Bolzano, Italy) - Data manager Terzi, Stefano (Center for Climate Change and Transformation, Eurac Research, Bolzano, Italy) - Contact point Labella Fonseca Heloisa (Ca' Foscari University of Venice, Venice, Italy) - Researcher