Simulated XCO2 dataset

Figshare 2026 Dataset Open access

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Authors: yanfei yin
DOI: 10.6084/m9.figshare.31199020
Cited by: 0

Abstract

(1) produce a high-resolution, monthly XCO2 dataset for East Asia from 2009 to 2024 using ML models；(2) quantify spatiotemporal features and CO2 amplitude, and identify its driving factors from regional and urban perspectives.

Fields of Study & Subjects

Atmospheric and Environmental Gas Dynamics Air Quality Monitoring and Forecasting Spectroscopy and Laser Applications

Publication details

Journal / source
Figshare
Publication date
1 January 2026
Document type
Dataset