European Drought Risk Atlas
Rossi, Lauro, Wens, Marthe, de Moel, Hans, Cotti, Davide, Sabino Siemons, Anne-Sophie, Toreti, Andrea, Maetens, Willem, Masante, Dario, Van Loon, Anne, Hagenlocher, Michael, Rudari, Roberto, Naumann, Gustavo, Meroni, Michelle, Avanzi, Francesco, Isabellon, Michel and Barbosa, Paulo (2023). European Drought Risk Atlas. European Commission.
Document type:
Report
Collection:
-
Sub-type Research report Author Rossi, Lauro
Wens, Marthe
de Moel, Hans
Cotti, Davide
Sabino Siemons, Anne-Sophie
Toreti, Andrea
Maetens, Willem
Masante, Dario
Van Loon, Anne
Hagenlocher, Michael
Rudari, Roberto
Naumann, Gustavo
Meroni, Michelle
Avanzi, Francesco
Isabellon, Michel
Barbosa, PauloTitle European Drought Risk Atlas Publication Date 2023-10-10 Place of Publication Luxembourg Publisher European Commission Pages 108 Language eng Abstract English In recent years, droughts have had substantial impacts on nearly all regions of the EU, affecting several critical systems such as agriculture, water supply, energy, river transport, and ecosystems. These impacts are projected to further increase due to climate change. While some of the drivers of drought risk are well known for some systems and regions, drought risks and impacts remain hard to assess and quantify. The European Drought Risk Atlas is a step towards impact-based drought assessment and can support the development and implementation of drought management and adaptation policies and actions. It characterises how drought hazard, exposure and vulnerability interact and affect different but interconnected systems: agriculture, public water supply, energy, riverine transport, freshwater and terrestrial ecosystems. The Atlas presents both a conceptual and quantitative approach to drought risk for these systems. The conceptual drought risk models (impact chains) are the result of a review of the literature in Europe and consultations with experts to construct visualisations of the most relevant drivers and how they interact to determine risk and impacts. The quantitative estimate of drought risk is based on machine learning techniques and maps drought risk at the sub-national level in terms of annual average loss and probable maximum losses at specific return periods, both for present climate conditions, and for projections under different levels of global warming (+1.5 °C, +2 °C, +3 °C). UNBIS Thesaurus RISK ASSESSMENT
DROUGHTKeyword Impact chains
Conceptual models
Sector
Future risks
Vulnerability
ExposureCopyright Holder European Union Copyright Year 2023 Copyright type Creative commons ISBN 9789268080
9789268080856DOI 10.2760/33211 -
Citation counts Search Google Scholar Access Statistics: 240 Abstract Views - Detailed Statistics Created: Fri, 13 Oct 2023, 01:00:23 JST by Aarti Basnyat on behalf of UNU EHS