  Recently ontologies have been exploited in a wide range of research areas for
data modeling and data management. They greatly assists in defining the
semantic model of the underlying data combined with domain knowledge. In this
paper, we propose the Climate Analysis (CA) Ontology to model climate datasets
used by remote sensing analysts. We use the data published by National Oceanic
and Atmospheric Administration (NOAA) to further explore how ontology modeling
can be used to facilitate the field of climatic data processing. The idea of
this work is to convert relational climate data to the Resource Description
Framework (RDF) data model, so that it can be stored in a graph database and
easily accessed through the Web as Linked Data. Typically, this provides
climate researchers, who are interested in datasets such as NOAA, with the
potential of enriching and interlinking with other databases. As a result, our
approach facilitates data integration and analysis of diverse climatic data
sources and allows researchers to interrogate these sources directly on the Web
using the standard SPARQL query language.
