GCHP model results for South Asian agricultural fires

This repository contains GEOS-Chem High Performance (GCHP) model outputs focused on agricultural fire emissions in northern India. The dataset includes three simulation scenarios: GFED agricultural fires – using the global fire emissions inventory (GFED4). SAGE agricultural fires – using the regional agricultural fire emissions inventory (SAGE). No agricultural fires – a scenario with agricultural fire emissions turned off. These simulations are intended for analyzing the impact of agricultural fire emissions on air quality and atmospheric composition in northern India. Included in this upload are the R and Python scripts used for processing, extracting, and analyzing the model output. These scripts allow reproduction of the derived datasets and figures presented in the associated manuscript. Note: Data obtained from other sources for validation purposes (e.g., observational datasets) are not included due to licensing restrictions; links to these datasets are provided in the manuscript. This dataset provides a complete and reproducible framework for researchers interested in regional fire emissions, air pollution modeling, and model evaluation in the South Asian context.