Detection and Attribution of Climate Change Using a Neural Network

Detection and Attribution of Climate Change Using a Neural Network

Abstract A new detection and attribution method is presented and applied to the global mean surface air temperature (GSAT) from 1900 to 2014. The method aims at attributing the climate changes to the variations of greenhouse gases, anthropogenic aerosols, and natural forcings. A convolutional neural...

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Bibliographic Details
Main Authors: Constantin Bône, Guillaume Gastineau, Sylvie Thiria, Patrick Gallinari, Carlos Mejia
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2023-10-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
detection and attribution
neural networks
machine learning
climate models
global climate change
Online Access:https://doi.org/10.1029/2022MS003475

Internet

https://doi.org/10.1029/2022MS003475

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