Full Top Down NOx Fire Emission

This dataset provides the full top-down nitrogen oxides (NOx = NO2 + NO) fire emission estimation at the temporal resolution of one day and spatial resolution of 1o degree in northeastern Asia (longitude: 110 E–145 E; latitude: 40 N–55 N) during 2012–2019. We developed this dataset based on fire radiative power density from the public dataset Global Fire Assimilation System (GFAS, https://apps.ecmwf.int/datasets/data/cams-gfas/) and NOx EC derived in our research article Fu et al. (2022) entitled “Investigating the impacts of satellite fire observation accuracy on the top-down nitrogen oxides emission estimation in northeastern Asia”. The data can be used as fundamental input data for climate and weather models, and can be applied for investigation of fire emission characteristic, fire emission feedback to climate, air quality, impacts on air pollution and human health effect. As a full top-down emission dataset, it can also serve as reference for other existing emission inventories that are mostly based on bottom-up approaches.

本数据集提供了2012-2019年东北亚地区（经度：110°E–145°E；纬度：40°N–55°N）内，时间分辨率为逐日、空间分辨率为1°的全自上而下式氮氧化物（NOₓ = NO₂ + NO）火灾源排放估算数据。本数据集依托公开数据集全球火灾同化系统（Global Fire Assimilation System, GFAS，https://apps.ecmwf.int/datasets/data/cams-gfas/）的火灾辐射功率密度，以及Fu等人2022年发表的题为《卫星火灾观测精度对东北亚地区自上而下式氮氧化物排放估算的影响研究》的学术论文中推导得到的氮氧化物排放系数（NOₓ EC）构建而成。该数据可作为气候与数值天气预报模型的基础输入数据，亦可应用于火灾排放特征、火灾排放对气候的反馈效应、空气质量、空气污染影响及人体健康效应等相关研究。作为一套完整的自上而下式排放数据集，本数据集还可作为多数基于自下而上方法构建的现有排放清单的参考基准。