Big Data in Climate: Opportunities and Challenges for Machine Learning

Citation data:

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '17, Vol: Part F129685, Page: 21-22

Publication Year:
2017

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DOI:
10.1145/3097983.3105810
Author(s):
Anuj Karpatne, Vipin Kumar
Publisher(s):
Association for Computing Machinery (ACM)
Tags:
Computer Science
conference paper description
The climate and Earth sciences have recently undergone a rapid transformation from a data-poor to a data-rich environment. In particular, massive amount of data about Earth and its environment is now continuously being generated by a large number of Earth observing satellites as well as physics-based earth system models running on large-scale computational platforms. These massive and information-rich datasets offer huge potential for understanding how the Earth's climate and ecosystem have been changing and how they are being impacted by humans actions. We discuss the challenges involved in analyzing these massive data sets as well as opportunities they present for both advancing machine learning as well as the science of climate change.

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