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.

Bibliographic Details
Published in:	Environmental Science: Processes & Impacts
Main Authors:	Kumar, P., Kuttippurath, J., Mitra, A.
Other Authors:	Indian Institute of Technology Kharagpur, Ministry of Education, India
Format:	Article in Journal/Newspaper
Language:	English
Published:	Royal Society of Chemistry (RSC) 2022
Subjects:	Antarc* Antarctica
Online Access:	http://dx.doi.org/10.1039/d1em00383f http://pubs.rsc.org/en/content/articlepdf/2022/EM/D1EM00383F

Description
Summary:	We use a causal discovery algorithm based on a temporal convolution network (TCN) to discover the drivers of surface ozone variability over Antarctica.