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High resolution temporal profiles in the Emissions Database for Global Atmospheric Research

Emissions into the atmosphere from human activities show marked temporal variations, from inter-annual to hourly levels. The consolidated practice of calculating yearly emissions follows the same temporal allocation of the underlying annual statistics. However, yearly emissions might not reflect hea...

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Autores principales: Crippa, Monica, Solazzo, Efisio, Huang, Ganlin, Guizzardi, Diego, Koffi, Ernest, Muntean, Marilena, Schieberle, Christian, Friedrich, Rainer, Janssens-Maenhout, Greet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7165169/
https://www.ncbi.nlm.nih.gov/pubmed/32303685
http://dx.doi.org/10.1038/s41597-020-0462-2
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author Crippa, Monica
Solazzo, Efisio
Huang, Ganlin
Guizzardi, Diego
Koffi, Ernest
Muntean, Marilena
Schieberle, Christian
Friedrich, Rainer
Janssens-Maenhout, Greet
author_facet Crippa, Monica
Solazzo, Efisio
Huang, Ganlin
Guizzardi, Diego
Koffi, Ernest
Muntean, Marilena
Schieberle, Christian
Friedrich, Rainer
Janssens-Maenhout, Greet
author_sort Crippa, Monica
collection PubMed
description Emissions into the atmosphere from human activities show marked temporal variations, from inter-annual to hourly levels. The consolidated practice of calculating yearly emissions follows the same temporal allocation of the underlying annual statistics. However, yearly emissions might not reflect heavy pollution episodes, seasonal trends, or any time-dependant atmospheric process. This study develops high-time resolution profiles for air pollutants and greenhouse gases co- emitted by anthropogenic sources in support of atmospheric modelling, Earth observation communities and decision makers. The key novelties of the Emissions Database for Global Atmospheric Research (EDGAR) temporal profiles are the development of (i) country/region- and sector- specific yearly profiles for all sources, (ii) time dependent yearly profiles for sources with inter-annual variability of their seasonal pattern, (iii) country- specific weekly and daily profiles to represent hourly emissions, (iv) a flexible system to compute hourly emissions including input from different users. This work creates a harmonized emission temporal distribution to be applied to any emission database as input for atmospheric models, thus promoting homogeneity in inter-comparison exercises.
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spelling pubmed-71651692020-04-24 High resolution temporal profiles in the Emissions Database for Global Atmospheric Research Crippa, Monica Solazzo, Efisio Huang, Ganlin Guizzardi, Diego Koffi, Ernest Muntean, Marilena Schieberle, Christian Friedrich, Rainer Janssens-Maenhout, Greet Sci Data Data Descriptor Emissions into the atmosphere from human activities show marked temporal variations, from inter-annual to hourly levels. The consolidated practice of calculating yearly emissions follows the same temporal allocation of the underlying annual statistics. However, yearly emissions might not reflect heavy pollution episodes, seasonal trends, or any time-dependant atmospheric process. This study develops high-time resolution profiles for air pollutants and greenhouse gases co- emitted by anthropogenic sources in support of atmospheric modelling, Earth observation communities and decision makers. The key novelties of the Emissions Database for Global Atmospheric Research (EDGAR) temporal profiles are the development of (i) country/region- and sector- specific yearly profiles for all sources, (ii) time dependent yearly profiles for sources with inter-annual variability of their seasonal pattern, (iii) country- specific weekly and daily profiles to represent hourly emissions, (iv) a flexible system to compute hourly emissions including input from different users. This work creates a harmonized emission temporal distribution to be applied to any emission database as input for atmospheric models, thus promoting homogeneity in inter-comparison exercises. Nature Publishing Group UK 2020-04-17 /pmc/articles/PMC7165169/ /pubmed/32303685 http://dx.doi.org/10.1038/s41597-020-0462-2 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Crippa, Monica
Solazzo, Efisio
Huang, Ganlin
Guizzardi, Diego
Koffi, Ernest
Muntean, Marilena
Schieberle, Christian
Friedrich, Rainer
Janssens-Maenhout, Greet
High resolution temporal profiles in the Emissions Database for Global Atmospheric Research
title High resolution temporal profiles in the Emissions Database for Global Atmospheric Research
title_full High resolution temporal profiles in the Emissions Database for Global Atmospheric Research
title_fullStr High resolution temporal profiles in the Emissions Database for Global Atmospheric Research
title_full_unstemmed High resolution temporal profiles in the Emissions Database for Global Atmospheric Research
title_short High resolution temporal profiles in the Emissions Database for Global Atmospheric Research
title_sort high resolution temporal profiles in the emissions database for global atmospheric research
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7165169/
https://www.ncbi.nlm.nih.gov/pubmed/32303685
http://dx.doi.org/10.1038/s41597-020-0462-2
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