Causal discovery of drivers of surface ozone variability in Antarctica using a deep learning algorithm
We use a causal discovery algorithm based on a temporal convolution network (TCN) to discover the drivers of surface ozone variability over Antarctica.
Published in: | Environmental Science: Processes & Impacts |
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Main Authors: | , , |
Other Authors: | , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Royal Society of Chemistry (RSC)
2022
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Subjects: | |
Online Access: | http://dx.doi.org/10.1039/d1em00383f http://pubs.rsc.org/en/content/articlepdf/2022/EM/D1EM00383F |
Summary: | We use a causal discovery algorithm based on a temporal convolution network (TCN) to discover the drivers of surface ozone variability over Antarctica. |
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