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Data mining, prediction, and predictability of the climate system

Conference Program
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We are seeking papers which focus on the application of data mining, computational intelligence, machine learning, and statistical methods to the climate system, with a special emphasis on knowledge discovery, prediction, and predictability at all time scales.

Of particular interest are techniques used to extract information from large datasets, including those derived from high-resolution atmospheric reanalyses, global/regional climate models, and satellite remote sensing platforms. Also of interest is the “cross-pollination” of algorithms used to analyze large, noisy datasets in other fields, for example bioinformatics, chemical informatics, computer vision, and network analysis.

Host Conference:
10th Conference on Artificial Intelligence Applications to Environmental Science

Partnering Conference(s):
24th Conference on Climate Variability and Change
21st Conference on Probability and Statistics in the Atmospheric Sciences