Preprints
https://doi.org/10.5194/essd-2023-514
https://doi.org/10.5194/essd-2023-514
14 Dec 2023
 | 14 Dec 2023
Status: a revised version of this preprint was accepted for the journal ESSD and is expected to appear here in due course.

Insights on the spatial distribution of global, national and sub-national GHG emissions in EDGARv8.0

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, and Pierre Coheur

Abstract. Knowing where emissions occur is essential for planning effective emission reduction measures and for atmospheric modelling. Emission inventories are typically compiled at national level and provide sector-specific emission estimates. Disaggregating national emissions on high-resolution grids requires spatial proxies that contain information on the location of different emission sources (e.g. point sources, linear and area sources). Knowing the correct allocation of emissions from point sources is essential to avoid the misallocating high emission levels. However, gathering information on point sources covering the entire globe and a wide temporal domain (1970 to present) is challenging due to limited data availability, accuracy of the reporting and completeness of data. The latest spatial proxies developed as part of the Emissions Database for Global Atmospheric Research (EDGARv8.0) provide the user with the possibility to work with different geographical details using a consistently developed GHG emissions database. A key novelty of EDGARv8.0 is the possibility to analyse sub-national GHG emissions over the European domain, but also over the US, China, India and main world countries. The relevance of using updated spatial information is assessed on the basis of regional case studies. The data can be accessed at https://doi.org/10.2905/b54d8149-2864-4fb9-96b9-5fd3a020c224 specific for EDGARv8.0 (Crippa, 2023a) and doi:10.2905/D67EEDA8-C03E-4421-95D0-0ADC460B9658 for the sub- national dataset (Crippa et al., 2023b).

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, and Pierre Coheur

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2023-514', Anonymous Referee #1, 28 Feb 2024
    • AC2: 'Reply on RC1', Monica Crippa, 25 Mar 2024
  • RC2: 'Comment on essd-2023-514', Anonymous Referee #2, 08 Mar 2024
    • AC1: 'Reply on RC2', Monica Crippa, 25 Mar 2024

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2023-514', Anonymous Referee #1, 28 Feb 2024
    • AC2: 'Reply on RC1', Monica Crippa, 25 Mar 2024
  • RC2: 'Comment on essd-2023-514', Anonymous Referee #2, 08 Mar 2024
    • AC1: 'Reply on RC2', Monica Crippa, 25 Mar 2024
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, and Pierre Coheur

Data sets

EDGARv8.0_GHG Monica Crippa et al. https://doi.org/10.2905/B54d8149-2864-4FB9-96B9-5FD3A020C224

EDGARv8.0 Greenhouse Gas Emissions at sub-national level Monica Crippa et al. https://doi.org/10.2905/D67EEDA8-C03E-4421-95D0-0ADC460B9658

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, and Pierre Coheur

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Short summary
Knowing where emissions occur is essential for planning effective emission reduction measures and for atmospheric modelling. Disaggregating national emissions on high-resolution grids requires spatial proxies that contain information on the location of different emission sources. This work incorporates state of the art spatial information to improve the spatial representation of global emissions with the EDGAR database.
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