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.本仓库收录聚焦印度北部农业野火排放的GEOS-Chem高性能（GEOS-Chem High Performance, GCHP）模式输出数据集。本数据集包含三类模拟情景： 1. GFED农业野火情景：采用全球野火排放清单（GFED4） 2. SAGE农业野火情景：采用区域农业野火排放清单（SAGE） 3. 无农业野火情景：关闭农业野火排放的模拟场景 上述模拟情景旨在分析印度北部农业野火排放对空气质量与大气组成的影响。 本次上传内容还包含用于处理、提取与分析模式输出的R语言及Python脚本，可复现关联手稿中提及的衍生数据集与可视化图表。 注意：由于授权限制，用于验证的外部来源数据（如观测数据集）未被纳入本数据集；相关数据集的获取链接已在关联手稿中提供。 本数据集为关注南亚区域野火排放、空气污染模拟及模式评估的科研人员提供了一套完整且可复现的研究框架。