Causal discovery of drivers of surface ozone variability in Antarctica using a deep learning algorithm-Reference-Cited by-同舟云学术

Causal discovery of drivers of surface ozone variability in Antarctica using a deep learning algorithm

Published:2022 Issue:3 Volume:24 Page:447-459
ISSN:2050-7887
Container-title:Environmental Science: Processes & Impacts
language:en
Short-container-title:Environ. Sci.: Processes Impacts

Author:

Kumar P.¹^ORCID,Kuttippurath J.¹^ORCID,Mitra A.²

Affiliation:

1. CORAL, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India

2. Centre of Excellence in Artificial Intelligence, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India

Abstract

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

Funder

Indian Institute of Technology Kharagpur

Ministry of Education, India

Publisher

Royal Society of Chemistry (RSC)

Subject

Management, Monitoring, Policy and Law,Public Health, Environmental and Occupational Health,Environmental Chemistry,General Medicine

Link

http://pubs.rsc.org/en/content/articlepdf/2022/EM/D1EM00383F

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