  Climate science has become more ambitious in recent years as global awareness
about the environment has grown. To better understand climate, historical
climate (e.g. archived meteorological variables such as temperature, wind,
water, etc.) and climate-related data (e.g. geographical features and human
activities) are widely used by today's climate research to derive models for an
explainable climate change and its effects. However, such data sources are
often dispersed across a multitude of disconnected data silos on the Web.
Moreover, there is a lack of advanced climate data platforms to enable
multi-source heterogeneous climate data analysis, therefore, researchers must
face a stern challenge in collecting and analyzing multi-source data. In this
paper, we address this problem by proposing a climate knowledge graph for the
integration of multiple climate data and other data sources into one service,
leveraging Web technologies (e.g. HTTP) for multi-source climate data analysis.
The proposed knowledge graph is primarily composed of data from the National
Oceanic and Atmospheric Administration's daily climate summaries,
OpenStreetMap, and Wikidata, and it supports joint data queries on these widely
used databases. This paper shows, with a use case in Ireland and the United
Kingdom, how climate researchers could benefit from this platform as it allows
them to easily integrate datasets from different domains and geographical
locations.
