Mysiak, J, Torresan, S, Bosello, F, Mistry, M, Amadio, M, Marzi, S, Furlan, E and Sperotto, A. 2018. Climate risk index for Italy. [Online]. Zenodo. Available from: https://zenodo.org/records/5506630
Mysiak, J, Torresan, S, Bosello, F, Mistry, M, Amadio, M, Marzi, S, Furlan, E and Sperotto, A. Climate risk index for Italy [Internet]. Zenodo; 2018. Available from: https://zenodo.org/records/5506630
Mysiak, J, Torresan, S, Bosello, F, Mistry, M, Amadio, M, Marzi, S, Furlan, E and Sperotto, A (2018). Climate risk index for Italy. [Data Collection]. Zenodo. https://zenodo.org/records/5506630
Description
We describe a climate risk index that has been developed to inform national climate adaptation planning in Italy and that is further elaborated in this paper. The index supports national authorities in designing adaptation policies and plans, guides the initial problem formulation phase, and identifies administrative areas with higher propensity to being adversely affected by climate change. The index combines (i) climate change-amplified hazards; (ii) high-resolution indicators of exposure of chosen economic, social, natural and built- or manufactured capital (MC) assets and (iii) vulnerability, which comprises both present sensitivity to climateinduced hazards and adaptive capacity. We use standardized anomalies of selected extreme climate indices derived from high-resolution regional climate model simulations of the EURO-CORDEX initiative as proxies of climate change-altered weather and climate-related hazards. The exposure and sensitivity assessment is based on indicators of manufactured, natural, social and economic capital assets exposed to and adversely affected by climate-related hazards. The MC refers to material goods or fixed assets which support the production process (e.g. industrial machines and buildings); Natural Capital comprises natural resources and processes (renewable and non-renewable) producing goods and services for well-being; Social Capital (SC) addressed factors at the individual (people’s health, knowledge, skills) and collective (institutional) level (e.g. families, communities, organizations and schools); and Economic Capital (EC) includes owned and traded goods and services. The results of the climate risk analysis are used to rank the subnational administrative and statistical units according to the climate risk challenges, and possibly for financial resource allocation for climate adaptation. This article is part of the theme issue ‘Advances in risk assessment for climate change adaptation policy’.
Data capture method | Unknown |
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Date (Date published in a 3rd party system) | 30 April 2018 |
Language(s) of written materials | English |
Data Creators | Mysiak, J, Torresan, S, Bosello, F, Mistry, M, Amadio, M, Marzi, S, Furlan, E and Sperotto, A |
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LSHTM Faculty/Department | Faculty of Public Health and Policy > Dept of Public Health, Environments and Society |
Participating Institutions | Centro Euro-Mediterraneo sui Cambiamenti Climatici and Università Ca' Foscari, Venezia Porto Marghera, Italy |
Funders |
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Date Deposited | 09 Feb 2024 14:56 |
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Last Modified | 09 Feb 2024 15:01 |
Publisher | Zenodo |