A Guide to Earth Science Data: Summary and Research Challenges

Anuj Karpatne, Stefan Liess

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


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. An upsurge of Earth science datasets in the past few decades 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 (such as adherence to physical properties and spatiotemporal constraints) that present challenges to traditional data-centric approaches. In this article, the authors briefly introduce the different categories of Earth science datasets and further describe some of the major data-centric challenges in analyzing Earth science data.

Original languageEnglish (US)
Article number7310923
Pages (from-to)14-18
Number of pages5
JournalComputing in Science and Engineering
Issue number6
StatePublished - Nov 1 2015

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  • Earth science data
  • Scientific computing
  • climate data


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