Abstract
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.
Abstract (translated)
气候变化影响了人类资源和活动的广泛领域，因此需要使用气候模型来预测长期效应，并为缓解和适应策略提供信息。这些模型通过在各种场景和配置中运行模拟生成多个数据集，从而涵盖了一系列潜在的未来结果。目前，研究人员依赖传统的搜索界面和APIs来检索此类数据集，通常从元数据和社区词汇中拼凑信息。气候变化知识图谱旨在通过将与气候模拟相关的多样化数据源整合到一个连贯且互操作的知识图谱中来解决这些挑战。 这一创新资源允许执行涉及气候模型、模拟、变量、时空域和粒度的复杂查询。该知识图谱及其基础本体论由领域专家开发，并以开放访问许可证发布，提供了一个全面的框架，增强了对气候变化数据探索的支持，有助于更明智地应对气候变化问题。
URL
https://arxiv.org/abs/2602.19786
