Monica Crippa, Diego Guizzardi, Federico Pagani, Marcello Schiavina, Michele Melchiorri, Enrico Pisoni, Francesco Graziosi, Marilena Muntean, Joachim Maes, Lewis Dijkstra, Martin Van Damme, Lieven Clarisse, Pierre Coheur
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引用次数: 0
摘要
摘要要减轻温室气体(GHG)和空气污染物排放的影响,最重要的是要了解排放发生在哪里。在现实世界中,点源(如发电厂和工业设施)和扩散源(如住宅活动和农业)等各种人类活动都会产生大气污染物。然而,由于跟踪所有这些单一排放源实际上是不可能的,因此排放清单通常采用按部门划分的国家级统计数据进行编制,然后利用空间信息在网格单元级别进行缩减。在这项工作中,我们开发了高空间分辨率代用指标,用于缩减全球大气研究排放数据库(EDGAR)提供的世界各国的国家排放总量。特别是在本文中,我们介绍了最新的 EDGAR v8.0 GHG,它提供了不同空间粒度级别的现成排放数据,这些数据都是从持续开发的温室气体排放数据库中获得的。这是通过改进和开发高分辨率空间代用指标实现的,可以更精确地分配全球范围内的排放量。这项工作的一个主要创新点是可以分析欧洲领土以及美国、中国、印度和其他高排放国家的次国家温室气体排放量。这些数据不仅能满足大气建模人员的需求,还能为气候变化减缓领域的政策制定者提供信息。例如,EDGAR 提供的欧洲 NUTS 2 级(第二级统计领土单位术语)温室气体排放数据有助于欧盟制定凝聚力政策,确定各地区在实现碳中和目标方面的进展情况,并深入分析排放最高的部门。这些数据可在以下网站获取:https://doi.org/10.2905/b54d8149-2864-4fb9-96b9-5fd3a020c224,特别是 EDGAR v8.0(Crippa 等人,2023a)和 https://doi.org/10.2905/D67EEDA8-C03E-4421-95D0-0ADC460B9658,用于国家以下数据集(Crippa 等人,2023b)。
Insights into the spatial distribution of global, national, and subnational greenhouse gas emissions in the Emissions Database for Global Atmospheric Research (EDGAR v8.0)
Abstract. To mitigate the impact of greenhouse gas (GHG) and air pollutant emissions, it is of utmost importance to understand where emissions occur. In the real world, atmospheric pollutants are produced by various human activities from point sources (e.g. power plants and industrial facilities) but also from diffuse sources (e.g. residential activities and agriculture). However, as tracking all these single sources of emissions is practically impossible, emission inventories are typically compiled using national-level statistics by sector, which are then downscaled at the grid-cell level using spatial information. In this work, we develop high-spatial-resolution proxies for use in downscaling the national emission totals for all world countries provided by the Emissions Database for Global Atmospheric Research (EDGAR). In particular, in this paper, we present the latest EDGAR v8.0 GHG, which provides readily available emission data at different levels of spatial granularity, obtained from a consistently developed GHG emission database. This has been achieved through the improvement and development of high-resolution spatial proxies that allow for a more precise allocation of emissions over the globe. A key novelty of this work is the potential to analyse subnational GHG emissions over the European territory and also over the United States, China, India, and other high-emitting countries. These data not only meet the needs of atmospheric modellers but can also inform policymakers working in the field of climate change mitigation. For example, the EDGAR GHG emissions at the NUTS 2 level (Nomenclature of Territorial Units for Statistics level 2) over Europe contribute to the development of EU cohesion policies, identifying the progress of each region towards achieving the carbon neutrality target and providing insights into the highest-emitting sectors. The data can be accessed at https://doi.org/10.2905/b54d8149-2864-4fb9-96b9-5fd3a020c224 specifically for EDGAR v8.0 (Crippa et al., 2023a) and https://doi.org/10.2905/D67EEDA8-C03E-4421-95D0-0ADC460B9658 for the subnational dataset (Crippa et al., 2023b).
Earth System Science DataGEOSCIENCES, 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.