Articles | Volume 12, issue 2
Geosci. Model Dev., 12, 613–628, 2019
https://doi.org/10.5194/gmd-12-613-2019
Geosci. Model Dev., 12, 613–628, 2019
https://doi.org/10.5194/gmd-12-613-2019

Methods for assessment of models 07 Feb 2019

Methods for assessment of models | 07 Feb 2019

Topological data analysis and machine learning for recognizing atmospheric river patterns in large climate datasets

Grzegorz Muszynski et al.

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Grzegorz Muszynski on behalf of the Authors (30 Nov 2018)  Author's response    Manuscript
ED: Publish as is (03 Jan 2019) by James Annan
AR by Grzegorz Muszynski on behalf of the Authors (13 Jan 2019)  Author's response    Manuscript
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Short summary
We present the automated method for recognizing atmospheric rivers in climate data, i.e., climate model output and reanalysis product. The method is based on topological data analysis and machine learning, both of which are powerful tools that the climate science community often does not use. An advantage of the proposed method is that it is free of selection of subjective threshold conditions on a physical variable. This method is also suitable for rapidly analyzing large amounts of data.