Data and Code for Deep Learning Methods for Lidar CO₂ Concentration Data Fusion

Replication Data and Code for Manuscript This repository contains the source code and processed dataset used in the manuscript submitted to Atmospheric Measurement Techniques (AMT). File Structure:1. processed_data.csv: The integrated dataset containing hourly/daily meteorological and pollutant observations used for model training and validation.2. Model Scripts: Python scripts for the six specific models (Box, Gaussian, PGT, PINN, Granger, and XGBoost/Ensemble) described in the paper. For detailed usage instructions and environment requirements, please refer to the README.txt file included in the download.