DISTENDER indicators for Round2a (climate and socioeconomic signal) and for: Air Quality and Emissions; Urban Heat Island; Health; Water; Energy; Agroforestry; Sectorial economy; Risk and Vulnerability. Case study: Austria. Global climate model: MPI-ESM1-2-HR. Scenario: SSP245.
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2025
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| author | DISTENDER ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINON UOA UNIVERSIDADE DE AVEIRO UNIVERSITAT ZU KOLN CLIMATE SOLUTIONS UNIPESSOAL LDA UNIVERSIDAD POLITECNICA DE MADRID UK CENTRE FOR ECOLOGY & HYDROLOGY |
| author_facet | DISTENDER ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINON UOA UNIVERSIDADE DE AVEIRO UNIVERSITAT ZU KOLN CLIMATE SOLUTIONS UNIPESSOAL LDA UNIVERSIDAD POLITECNICA DE MADRID UK CENTRE FOR ECOLOGY & HYDROLOGY |
| contents | Description: DISTENDER climate impact and vulnerability indicators produced in the EU project DISTENDER for five case studies https://distender.eu/the -project . More details about the domains, the provided dataset and periods are provided in the README file. This dataset presents the results of the risk and vulnerability analysis in DISTENDER. This analysis is largely based on results of model simulations in the sectors air quality, health, urban heat, energy, water, and agriculture, forestry and other land uses. The DISTENDER methodology involved five core case studies (CCS) and two rounds. I n the first round (Round 1, R1), the effects of climate change were investigated using the downscaled results of three global climate models used with four SSPs (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5) each. In the second round (Round 2a, R2a), socioeconomic scenarios including dynamic landuse chang e (localized shared socioeconomic pathways, SSPs) were included and tested with the EC-EARTH3 climate model and the four SSPs. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17824714 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | DISTENDER indicators for Round2a (climate and socioeconomic signal) and for: Air Quality and Emissions; Urban Heat Island; Health; Water; Energy; Agroforestry; Sectorial economy; Risk and Vulnerability. Case study: Austria. Global climate model: MPI-ESM1-2-HR. Scenario: SSP245. DISTENDER ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINON UOA UNIVERSIDADE DE AVEIRO UNIVERSITAT ZU KOLN CLIMATE SOLUTIONS UNIPESSOAL LDA UNIVERSIDAD POLITECNICA DE MADRID UK CENTRE FOR ECOLOGY & HYDROLOGY DISTENDER Climate Indicators Impacts Vulnerability Scenarios Description: DISTENDER climate impact and vulnerability indicators produced in the EU project DISTENDER for five case studies https://distender.eu/the -project . More details about the domains, the provided dataset and periods are provided in the README file. This dataset presents the results of the risk and vulnerability analysis in DISTENDER. This analysis is largely based on results of model simulations in the sectors air quality, health, urban heat, energy, water, and agriculture, forestry and other land uses. The DISTENDER methodology involved five core case studies (CCS) and two rounds. I n the first round (Round 1, R1), the effects of climate change were investigated using the downscaled results of three global climate models used with four SSPs (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5) each. In the second round (Round 2a, R2a), socioeconomic scenarios including dynamic landuse chang e (localized shared socioeconomic pathways, SSPs) were included and tested with the EC-EARTH3 climate model and the four SSPs. |
| title | DISTENDER indicators for Round2a (climate and socioeconomic signal) and for: Air Quality and Emissions; Urban Heat Island; Health; Water; Energy; Agroforestry; Sectorial economy; Risk and Vulnerability. Case study: Austria. Global climate model: MPI-ESM1-2-HR. Scenario: SSP245. |
| topic | DISTENDER Climate Indicators Impacts Vulnerability Scenarios |
| url | https://doi.org/10.5281/zenodo.17824714 |