Abstract. Anthropogenic emissions are the result of many different economic sectors, including transportation, power generation, industrial, residential and commercial activities, waste treatment and agricultural practices. Air quality models are used to forecast the atmospheric composition, analyze observations and reconstruct the chemical composition of the atmosphere during the previous decades. In order to drive these models, gridded emissions of all compounds need to be provided. This paper describes a new global inventory of emissions called CAMS-GLOB-ANT, developed as part of the Copernicus Atmosphere Monitoring Service (CAMS; https://doi.org/10.24380/eets-qd81, Soulie et al., 2023). The inventory provides monthly averages of the global emissions of 36 compounds, including the main air pollutants and greenhouse gases, at a spatial resolution of 0.1° × 0.1° in latitude and longitude, for 17 emission sectors. The methodology to generate the emissions for the 2000–2023 period is explained, and the datasets are analyzed and compared with publicly available global and regional inventories for selected world regions. Depending on the species and regions, good agreements as well as significant differences are highlighted, which can be further explained through an analysis of different sectors as shown in the figures in the Supplement.

中文翻译：

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全球人为排放 (CAMS-GLOB-ANT)，用于哥白尼大气监测服务模拟空气质量预测和再分析

摘要。人为排放是许多不同经济部门的结果，包括运输、发电、工业、住宅和商业活动、废物处理和农业实践。空气质量模型用于预测大气成分、分析观测结果并重建过去几十年的大气化学成分。为了驱动这些模型，需要提供所有化合物的网格排放。本文介绍了一种名为 CAMS-GLOB-ANT 的新全球排放清单，该清单是哥白尼大气监测服务的一部分（CAMS；https://doi.org/10.24380/eets-qd81，Soulie 等人，2023 年）。该清单以经纬度0.1°×0.1°的空间分辨率，提供了17个排放部门的36种化合物（包括主要空气污染物和温室气体）的全球月平均排放量。解释了 2000-2023 年期间排放量的生成方法，并对数据集进行了分析，并与选定世界地区公开的全球和区域清单进行了比较。根据物种和地区的不同，既有良好的一致性，也有显着的差异，这可以通过对不同部门的分析来进一步解释，如补充中的数字所示。