High-Resolution Daily XCH<sub>4</sub> Prediction Using New Convolutional Neural Network Autoencoder Model and Remote Sensing Data

High-Resolution Daily XCH<sub>4</sub> Prediction Using New Convolutional Neural Network Autoencoder Model and Remote Sensing Data

Atmospheric methane (CH<sub>4</sub>) concentrations have increased to 2.5 times their pre-industrial levels, with a marked acceleration in recent decades. CH<sub>4</sub> is responsible for approximately 30% of the global temperature rise since the Industrial Revolution. This...

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Bibliographic Details
Main Authors: Mohamad M. Awad, Saeid Homayouni
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Atmosphere
Subjects:
XCH<sub>4</sub>
monitoring
CNN
global
remote sensing
prediction
Online Access:https://www.mdpi.com/2073-4433/16/7/806
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