Improved estimation of carbon dioxide and methane using machine learning with satellite observations over the Arabian Peninsula

Improved estimation of carbon dioxide and methane using machine learning with satellite observations over the Arabian Peninsula

Abstract Estimating spatiotemporal maps of greenhouse gases (GHGs) is important for understanding climate change and developing mitigation strategies. However, current methods face challenges, including the coarse resolution of numerical models, and gaps in satellite data, making it essential to imp...

Full description

Saved in:
Bibliographic Details
Main Authors: Mariam Alcibahy, Fahim Abdul Gafoor, Farhan Mustafa, Mutasem El Fadel, Hamed Al Hashemi, Ali Al Hammadi, Maryam R. Al Shehhi
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
GCC
GHGs
Climate change
Warming
Senitnel-5P
XGBoost
Online Access:https://doi.org/10.1038/s41598-024-84593-9
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items