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...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
American Geophysical Union (AGU)
2023-10-01
|
Series: | Journal of Advances in Modeling Earth Systems |
Subjects: | |
Online Access: | https://doi.org/10.1029/2022MS003475 |