Titre :

Intercomparison of Magnitudes and Trends in Anthropogenic Surface Emissions From Bottom-Up Inventories, Top-Down Estimates, and Emission Scenarios

Auteur(s) :

Elguindi, Nellie [Auteur]
Laboratoire d'aérologie [LAERO]
Granier, Claire [Auteur]
Laboratoire d'aérologie [LAERO]
National Oceanic and Atmospheric Administration [NOAA]
Stavrakou, Trissevgeni [Auteur]
Belgian Institute for Space Aeronomy / Institut d'Aéronomie Spatiale de Belgique [BIRA-IASB]
Darras, Sabine [Auteur]
Observatoire Midi-Pyrénées [OMP]
Bauwens, Maité [Auteur]
Belgian Institute for Space Aeronomy / Institut d'Aéronomie Spatiale de Belgique [BIRA-IASB]
Cao, Hansen [Auteur]
University of Colorado [Boulder]
Chen, Cheng [Auteur]
Laboratoire d’Optique Atmosphérique - UMR 8518 [LOA]
Université de Lille
Van Der Gon, Hugo A. C. Denier [Auteur]
TNO Climate, Air and Sustainability [Utrecht]
Doubovik, Oleg [Auteur]
Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518
Fu, Tzung May [Auteur]
Southern University of Science and Technology [SUSTech]
Henze, Daven K. [Auteur]
Department of Mechanical Engineering [Boulder]
Jiang, Zhe [Auteur]
University of Science and Technology of China [Hefei] [USTC]
Keita, Sékou [Auteur]
Laboratoire de Physique de l’Atmosphère [Abidjan]
Kurokawa, Jun'Ichi [Auteur]
Asia Center for Air Pollution Research [ACAP]
Liousse, Catherine [Auteur]
Laboratoire d'aérologie [LAERO]
Miyazaki, Kazuyuki [Auteur]
Jet Propulsion Laboratory [JPL]
Muller, Jean-François [Auteur]
Belgian Institute for Space Aeronomy / Institut d'Aéronomie Spatiale de Belgique [BIRA-IASB]
Qu, Zhen [Auteur]
University of Colorado [Boulder]
Solmon, Fabien [Auteur]
Laboratoire d'aérologie [LAERO]
Zheng, Bo [Auteur]
Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]

Titre de la revue :

Earth's Future

Nom court de la revue :

Earth Future

Numéro :

8

Pagination :

-

Date de publication :

2021-04-13

ISSN :

2328-4277

Mot(s)-clé(s) en anglais :

Anthropogenic surface emissions</AUTHOR_KEYWORD>
Inverse Modelling</AUTHOR_KEYWORD>
Shared Socioeconomic Pathways</AUTHOR_KEYWORD>
Air quality modelling</AUTHOR_KEYWORD>
Emission inventories</AUTHOR_KEYWORD>

Discipline(s) HAL :

Planète et Univers [physics]/Océan, Atmosphère

Résumé en anglais : [en]

This study compares recent CO, NOx, NMVOC, SO2, BC, and OC anthropogenic emissions from several state-of-the-art top-down estimates to global and regional bottom-up inventories and projections from five Shared Socioeconomic ...
Lire la suite >This study compares recent CO, NOx, NMVOC, SO2, BC, and OC anthropogenic emissions from several state-of-the-art top-down estimates to global and regional bottom-up inventories and projections from five Shared Socioeconomic Pathways (SSPs) in several regions. Results show that top-down emissions derived in several recent studies exhibit similar uncertainty as bottom-up inventories in some regions for certain species and even less in the case of Chinese CO emissions. In general, the largest discrepancies are found outside of regions such as the United States, Europe, and Japan where the most accurate and detailed information on emissions is available. In some regions such as China, which has recently undergone dynamical economic growth and changes in air quality regulations, the top-down estimates better capture recent emission trends than global bottom-up inventories. These results show the potential of top-down estimates to complement bottom-up inventories and to aide in the development of emission scenarios, particularly in regions where global inventories lack the necessary up-to-date and accurate information regarding regional activity data and emission factors such as Africa and India. Areas of future work aimed at quantifying and reducing uncertainty are also highlighted. A regional comparison of recent CO and NOx trends in the five SSPs indicate that SSP126, a strong pollution control scenario, best represents the trends from the top-down and regional bottom-up inventories in the United States, Europe, and China, while SSP460, a low-pollution control scenario, lies closest to actual trends in West Africa. This analysis can be useful for air quality forecasting and near-future pollution control/mitigation policy studies.Lire moins >

Langue :

Anglais

Audience :

Internationale

Vulgarisation :

Non

Établissement(s) :

Université de Lille
CNRS

Collections :

• Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518

Date de dépôt :

2024-01-16T22:18:28Z
2024-02-19T09:23:31Z