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: EC-EARTH3. Scenario: SSP585.

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.数据集说明：本数据集为欧盟DISTENDER项目针对5个案例研究生成的气候影响与脆弱性指标，相关项目详情可参见https://distender.eu/the-project。有关研究领域、本数据集及研究时段的更多细节，请参阅README文件。本数据集收录了DISTENDER项目中风险与脆弱性分析的相关成果，该分析主要基于空气质量、健康、城市热环境、能源、水资源以及农业、林业与其他土地利用等领域的模型模拟结果。DISTENDER项目的研究方法包含5项核心案例研究（CCS）与两轮研究周期。第一轮（Round 1，简称R1）中，研究团队采用3个全球气候模式的降尺度结果，并分别搭配4种共享社会经济路径（SSP1-2.6、SSP2-4.5、SSP3-7.0、SSP5-8.5），对气候变化的影响开展了研究。第二轮（Round 2a，简称R2a）中，研究纳入了包含动态土地利用变化（本地化共享社会经济路径）的社会经济情景，并采用EC-EARTH3气候模式与前述4种SSP完成了测试验证。