Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 22, issue 17
Articles | Volume 22, issue 17
https://doi.org/10.5194/acp-22-11505-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-11505-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 17
Research article
 | 
07 Sep 2022
Research article |  | 07 Sep 2022

Quantifying NOx emissions in Egypt using TROPOMI observations

Anthony Rey-Pommier, Frédéric Chevallier, Philippe Ciais, Grégoire Broquet, Theodoros Christoudias, Jonilda Kushta, Didier Hauglustaine, and Jean Sciare

Data sets

TROPOMI NO2 product TROPOMI Data Hub http://www.tropomi.eu/data-products/data-access

CAMS data ECMWF https://ads.atmosphere.copernicus.eu/cdsapp\#!/dataset/cams-global-atmospheric-composition-forecasts

ERA5 reanalysis ECMWF https://cds.climate.copernicus.eu/cdsapp\#!/dataset/reanalysis-era5-pressure-levels-monthly-means

The Global Rural-Urban Mapping Project (GRUMP) SEDAC https://sedac.ciesin.columbia.edu/data/collection/grump-v1

CAMS-GLOB-ANT_v4.2 data ECCAD-AERIS https://eccad3.sedoo.fr/\#CAMS-GLOB-ANT

EDGAR v5.0 Global Air Pollutant Emissions European Commission https://edgar.jrc.ec.europa.eu/dataset_ap50

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Short summary
Emission inventories for air pollutants can be uncertain in developing countries. In order to overcome these uncertainties, we model nitrogen oxide emissions in Egypt using satellite retrievals. We detect a weekly cycle reflecting Egyptian social norms, an annual cycle consistent with electricity consumption and an activity drop due to the COVID-19 pandemic. However, discrepancies with inventories remain high, illustrating the needs for additional data to improve the potential of our method.
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