Recent growth in the scale and variety of Earth science data has provided unprecedented opportunities to big data analytics research for understanding the Earth's physical processes. There has been an upsurge of Earth science datasets in the past few decades that are being continually collected using various modes of acquisition, at different scales of observation, and in diverse data types and formats. Earth science datasets however exhibit some unique characteristics (e.g. adherence to physical properties and spatio-temporal constraints), which present challenges to traditional data-centric approaches. In this paper, we briey introduce the different categories of Earth science datasets and further describe some of the major data-centric challenges in analyzing Earth science data.
- Climate data
- Earth science data