Articles | Volume 13, issue 2
https://doi.org/10.5194/essd-13-367-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-367-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Copernicus Atmosphere Monitoring Service TEMPOral profiles (CAMS-TEMPO): global and European emission temporal profile maps for atmospheric chemistry modelling
Barcelona Supercomputing Center, 08034 Barcelona, Spain
Oriol Jorba
Barcelona Supercomputing Center, 08034 Barcelona, Spain
Carles Tena
Barcelona Supercomputing Center, 08034 Barcelona, Spain
Hugo Denier van der Gon
Department of Climate, Air and Sustainability, TNO, Utrecht, the
Netherlands
Jeroen Kuenen
Department of Climate, Air and Sustainability, TNO, Utrecht, the
Netherlands
Nellie Elguindi
Laboratoire d'Aérologie, Université de Toulouse, CNRS, UPS,
Toulouse, France
Sabine Darras
Observatoire Midi-Pyrénées, Toulouse, France
Claire Granier
Laboratoire d'Aérologie, Université de Toulouse, CNRS, UPS,
Toulouse, France
NOAA Chemical Sciences Laboratory, Boulder, Colorado, USA
CIRES, University of Colorado Boulder, Boulder, Colorado, USA
Carlos Pérez García-Pando
Barcelona Supercomputing Center, 08034 Barcelona, Spain
ICREA, Catalan Institution for Research and Advanced Studies, 08010
Barcelona, Spain
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- Advances in air quality research – current and emerging challenges R. Sokhi et al. 10.5194/acp-22-4615-2022
- The UrbEm Hybrid Method to Derive High-Resolution Emissions for City-Scale Air Quality Modeling M. Ramacher et al. 10.3390/atmos12111404
- Daily Emission Patterns of Coal-Fired Power Plants in China Based on Multisource Data Fusion N. Wu et al. 10.1021/acsenvironau.2c00014
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Latest update: 28 Sep 2023
Short summary
The temporal variability of atmospheric emissions is linked to changes in activity patterns, emission processes and meteorology. Accounting for the change in temporal emission characteristics is a key aspect for modelling the trends of air pollutants. This work presents a dataset of global and European emission temporal profiles to be used for air quality modelling purposes. The profiles were constructed considering the influences of local sociodemographic factors and climatological conditions.
The temporal variability of atmospheric emissions is linked to changes in activity patterns,...