Copernicus Atmosphere Monitoring Service TEMPOral profiles (CAMS-TEMPO): global and European emission temporal profile maps for atmospheric chemistry modelling

Guevara, Marc; Jorba, Oriol; Tena, Carles; Denier van der Gon, Hugo; Kuenen, Jeroen; Elguindi, Nellie; Darras, Sabine; Granier, Claire; Pérez García-Pando, Carlos

doi:https://doi.org/10.5194/essd-13-367-2021

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.

Special issue:

Surface emissions for atmospheric chemistry and air quality...

https://doi.org/10.5194/essd-13-367-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 2

Data description paper

|

12 Feb 2021

Data description paper |

| 12 Feb 2021

Copernicus Atmosphere Monitoring Service TEMPOral profiles (CAMS-TEMPO): global and European emission temporal profile maps for atmospheric chemistry modelling

Marc Guevara, Oriol Jorba, Carles Tena, Hugo Denier van der Gon, Jeroen Kuenen, Nellie Elguindi, Sabine Darras, Claire Granier, and Carlos Pérez García-Pando

Supplement

https://doi.org/10.5194/essd-13-367-2021-supplement

Data sets

Copernicus Atmosphere Monitoring Service TEMPOral profiles for the Global domain version 2.1 (CAMS-GLOB-TEMPOv2.1) Guevara, M., Jorba, O., Tena, C., Denier van der Gon, H., Kuenen, J., Elguindi, N., Darras, S., Granier, C., and Pérez García-Pando, C. https://doi.org/10.24380/ks45-9147

Copernicus Atmosphere Monitoring Service TEMPOral profiles for the regional European domain version 2.1 (CAMS-REG-TEMPOv2.1) Guevara, M., Jorba, O., Tena, C., Denier van der Gon, H., Kuenen, J., Elguindi, N., Darras, S., Granier, C., and Pérez García-Pando, C. https://doi.org/10.24380/1cx4-zy68

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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.