DISTENDER indicators for Round 1 (only climate 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: SSP126.

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项目针对五个案例研究生成的气候影响与脆弱性指标，详情可访问项目官网：https://distender.eu/the-project。关于研究领域、本数据集及研究时段的更多细节，请参见自述文件（README）。本数据集呈现了DISTENDER项目中风险与脆弱性分析的成果，该分析主要基于空气质量、健康、城市热环境、能源、水资源、农业、林业及其他土地利用领域的模式模拟结果。DISTENDER的研究方法包含5个核心案例研究与两轮实验。第一轮（第1轮，R1）中，研究团队采用3个全球气候模式的降尺度结果，分别搭配4种共享社会经济路径（Shared Socioeconomic Pathways，SSPs）（即SSP1-2.6、SSP2-4.5、SSP3-7.0、SSP5-8.5），对气候变化的影响展开探究。第二轮（第2a轮，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，SSPs）的社会经济情景，并采用EC-EARTH3气候模式与上述4种共享社会经济路径开展测试。