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

Authors :
Marilena Muntean
Efisio Solazzo
Ernest Koffi
Ganlin Huang
Greet Janssens-Maenhout
Christian Schieberle
Rainer Friedrich
Diego Guizzardi
Monica Crippa
Source :
Scientific Data, Vol 7, Iss 1, Pp 1-17 (2020), Scientific Data
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

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.<br />Measurement(s)air pollution • greenhouse gas • temporal measurementTechnology Type(s)computational modeling techniqueFactor Type(s)sector • geographic locationSample Characteristic - Environmentclimate systemSample Characteristic - LocationEarth (planet) Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.12052887

Details

ISSN :
20524463
Volume :
7
Database :
OpenAIRE
Journal :
Scientific Data
Accession number :
edsair.doi.dedup.....f2a7100ecfbf332989489003ef5d35c7
Full Text :
https://doi.org/10.1038/s41597-020-0462-2