哥白尼大气监测服务模拟空气质量预报和再分析的全球人为排放(CAMS-GLOB-ANT)

IF 11.2 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Earth System Science Data Pub Date : 2024-05-06 DOI:10.5194/essd-16-2261-2024
Antonin Soulie, Claire Granier, Sabine Darras, Nicolas Zilbermann, Thierno Doumbia, Marc Guevara, Jukka-Pekka Jalkanen, Sekou Keita, Cathy Liousse, Monica Crippa, Diego Guizzardi, Rachel Hoesly, Steven J. Smith
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引用次数: 0

摘要

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、分析观测数据和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量。本文介绍了一种名为 CAMS-GLOB-ANT 的新全球排放清单,它是哥白尼大气监测服务(CAMS;https://doi.org/10.24380/eets-qd81, Soulie et al., 2023)的一部分。该清单以 0.1° × 0.1° 的经纬度空间分辨率提供了 17 个排放部门 36 种化合物的全球月平均排放量,包括主要空气污染物和温室气体。对生成 2000-2023 年期间排放量的方法进行了解释,并对数据集进行了分析,并与世界部分地区公开的全球和地区清单进行了比较。根据不同的物种和地区,突出显示了良好的一致性和显著的差异,这可以通过对不同部门的分析得到进一步解释,如补编中的图表所示。
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Global anthropogenic emissions (CAMS-GLOB-ANT) for the Copernicus Atmosphere Monitoring Service simulations of air quality forecasts and reanalyses
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.
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来源期刊
Earth System Science Data
Earth System Science Data GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
18.00
自引率
5.30%
发文量
231
审稿时长
35 weeks
期刊介绍: Earth System Science Data (ESSD) is an international, interdisciplinary journal that publishes articles on original research data in order to promote the reuse of high-quality data in the field of Earth system sciences. The journal welcomes submissions of original data or data collections that meet the required quality standards and have the potential to contribute to the goals of the journal. It includes sections dedicated to regular-length articles, brief communications (such as updates to existing data sets), commentaries, review articles, and special issues. ESSD is abstracted and indexed in several databases, including Science Citation Index Expanded, Current Contents/PCE, Scopus, ADS, CLOCKSS, CNKI, DOAJ, EBSCO, Gale/Cengage, GoOA (CAS), and Google Scholar, among others.
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