Preprints
https://doi.org/10.5194/gmd-2021-390
https://doi.org/10.5194/gmd-2021-390
Submitted as: methods for assessment of models
16 Dec 2021
Submitted as: methods for assessment of models | 16 Dec 2021
Status: a revised version of this preprint was accepted for the journal GMD and is expected to appear here in due course.

A multi-pollutant and multi-sectorial approach to screen the consistency of emission inventories

Philippe Thunis1, Alain Clappier2, Enrico Pisoni1, Bertrand Bessagnet1, Jeroen Kuenen3, Marc Guevara4, and Susana Lopez-Aparicio5 Philippe Thunis et al.
  • 1European Commission, Joint Research Centre, Ispra, Italy
  • 2Université de Strasbourg, Laboratoire Image Ville Environnement, Strasbourg, France
  • 3TNO, Department of Air, Climate and Sustainability, Utrecht, The Netherlands
  • 4Barcelona Supercomputing Center, Barcelona 08034, Spain
  • 5NILU – Norwegian Institute for Air Research, 2027 Kjeller, Norway

Abstract. Some studies show that significant uncertainties affect emission inventories, which may impeach conclusions based on air quality model results. These uncertainties result from the need to compile a wide variety of information to estimate an emission inventory. In this work, we propose and discus a screening method to compare two emission inventories, with the overall goal of improving the quality of emission inventories by feeding back the results of the screening to inventory compilers who can check the inconsistencies found and where applicable resolve errors. The method targets three different aspects: 1) the total emissions assigned to a series of large geographical area, countries in our application; 2) the way these country total emissions are shared in terms of sector of activity and 3) the way inventories spatially distribute emissions from countries to smaller areas, cities in our application. The first step of the screening approach consists in sorting the data and keep only emission contributions that are relevant enough. In a second step, the method identifies, among those significant differences, the most important ones that are evidence of methodological divergence and/or errors that can be found and resolved in at least one of the inventories. The approach has been used to compare two versions of the CAMS-REG European scale inventory over 150 cities in Europe for selected activity sectors. Among the 4500 screened pollutant-sectors, about 450 were kept as relevant among which 46 showed inconsistencies. The analysis indicated that these inconsistencies were almost equally arising from large scale reporting and spatial distribution differences. They mostly affect SO2 and PM coarse emissions from the industrial and residential sectors. The screening approach is general and can be used for other types of applications related to emission inventories.

Philippe Thunis et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-390', Anonymous Referee #1, 07 Mar 2022
  • RC2: 'Comment on gmd-2021-390', Anonymous Referee #2, 22 May 2022

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-390', Anonymous Referee #1, 07 Mar 2022
  • RC2: 'Comment on gmd-2021-390', Anonymous Referee #2, 22 May 2022

Philippe Thunis et al.

Data sets

Repository for "A multi-pollutant and multi-sectorial approach to screen the consistency of emission inventories" Enrico Pisoni https://zenodo.org/record/5654911

Model code and software

Repository for "A multi-pollutant and multi-sectorial approach to screen the consistency of emission inventories" Enrico Pisoni https://zenodo.org/record/5654911

Philippe Thunis et al.

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Short summary
In this work, we propose a screening method to improve the quality of emission inventories, responsible for large uncertainties in air quality modelling. The first step of this screening consists in keeping only emission contributions that are relevant enough. In a second step, the method identifies the largest diffferences that are evidence of methodological divergence or errors. We used the approach to compare two versions of the CAMS-REG European scale inventory over 150 cities in Europe.