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: The North-east of the Netherlands (HUAS). 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数据集，相关信息详见项目官方网站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，请参见README文件。本数据集呈现了DISTENDER项目中风险与脆弱性分析的研究成果。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多个领域的模型模拟结果。DISTENDER项目的研究方法包含5个核心案例研究（Core Case Studies, CCS）与两轮研究。在第一轮研究（Round 1, R1）中，研究团队采用3个经降尺度处理的全球气候模型（Global Climate Model, GCM）结果，并搭配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），探究了气候变化的影响效应。在第二轮研究（Round 2a, R2a）中，研究纳入了包含动态土地利用变化的社会经济情景（本地化共享社会经济路径，SSPs），并采用EC-EARTH3气候模型与上述4种SSP情景开展了测试验证。