Climate change impacts a broad spectrum of human resources and activities, necessitating the use of climate models to project long-term effects and inform mitigation and adaptation strategies. These models generate multiple datasets by running simulations across various scenarios and configurations, thereby covering a range of potential future outcomes. Currently, researchers rely on traditional search interfaces and APIs to retrieve such datasets, often piecing together information from metadata and community vocabularies. The Climate Change Knowledge Graph is designed to address these challenges by integrating diverse data sources related to climate simulations into a coherent and interoperable knowledge graph. This innovative resource allows for executing complex queries involving climate models, simulations, variables, spatio-temporal domains, and granularities. Developed with input from domain experts, the knowledge graph and its underlying ontology are published with open access license and provide a comprehensive framework that enhances the exploration of climate data, facilitating more informed decision-making in addressing climate change issues.

翻译：气候变化广泛影响人类资源与活动，因此需要借助气候模型预测长期效应，并为减缓与适应策略提供依据。这些模型通过在不同情景与配置下运行模拟，生成多组数据集，从而覆盖一系列潜在的未来结果。目前，研究人员依赖传统检索界面与API获取此类数据集，通常需要结合元数据与社区词汇表拼凑信息。气候变化知识图谱旨在应对这些挑战，它将与气候模拟相关的多样化数据源整合为一个连贯且可互操作的知识图谱。这一创新资源支持执行涉及气候模型、模拟、变量、时空域及数据粒度的复杂查询。该知识图谱及其底层本体在领域专家参与下开发，以开放许可协议发布，提供了一个增强气候数据探索的综合性框架，有助于在应对气候变化问题时做出更明智的决策。