Global high-resolution fire-sourced PM 2.5 concentrations for 2000–2023

作者：Yannan Hu, Chenguang Tian, Xu Yue, Yadong Lei, Yang Cao, Rongbin Xu, Yuming Guo · 发表于：Earth system science data · 年份：2025 · DOI：10.5194/essd-17-3741-2025 · 被引用次数：5 · 研究领域：Atmospheric chemistry and aerosols、Fire effects on ecosystems、Atmospheric and Environmental Gas Dynamics

Abstract. Fires are a significant disturbance in Earth's systems. Smoke aerosols emitted from fires can cause environmental degradation and climatic perturbations, leading to exacerbated air pollution and posing hazards to public health. However, research on the climatic and health impacts of fire emissions is severely limited by the scarcity of air pollution data directly attributed to these emissions. Here, we develop a global daily fire-sourced PM2.5 concentration ([PM2.5]) dataset at a spatial resolution of 0.25° for the period 2000–2023, using the GEOS-Chem chemical transport model driven with two fire emission inventories, the Global Fire Emissions Database version 4.1 with small fires (GFED4.1s) and the Quick Fire Emission Dataset version 2.5r1 (QFED2.5). Simulated all-source [PM2.5] is bias-corrected using a machine learning algorithm, which incorporates ground observations from over 9000 monitoring sites worldwide. Then the simulated ratios between fire-sourced and all-source [PM2.5] at individual grids are applied to derive fire-sourced [PM2.5]. Globally, the average fire-sourced [PM2.5] is estimated to be 2.04 µg m−3 with GFED4.1s and 3.96 µg m−3 with QFED2.5. Both datasets show consistent spatial distributions with regional hotspots in central Africa and widespread decreasing trends over most areas. While the mean levels of fire-sourced [PM2.5] are much higher at low latitudes, fire episodes in the boreal regions can cause PM2.5 levels that are comparable to those...