Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 12, issue 2
Articles | Volume 12, issue 2
https://doi.org/10.5194/gmd-12-613-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-613-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 12, issue 2
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, Karthik Kashinath, Vitaliy Kurlin, Michael Wehner, and Prabhat

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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.
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