Detecting nitrogen oxide emissions in Qatar and quantifying emission factors of gas-fired power plants – a 4-year study

Rey-Pommier, Anthony; Chevallier, Frédéric; Ciais, Philippe; Kushta, Jonilda; Christoudias, Theodoros; Bayram, I. Safak; Sciare, Jean

doi:https://doi.org/10.5194/acp-23-13565-2023

Articles | Volume 23, issue 21

https://doi.org/10.5194/acp-23-13565-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-23-13565-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 21

Research article

|

30 Oct 2023

Research article |

| 30 Oct 2023

Detecting nitrogen oxide emissions in Qatar and quantifying emission factors of gas-fired power plants – a 4-year study

Anthony Rey-Pommier, Frédéric Chevallier, Philippe Ciais, Jonilda Kushta, Theodoros Christoudias, I. Safak Bayram, and Jean Sciare

Supplement

https://doi.org/10.5194/acp-23-13565-2023-supplement

Data sets

CAMS-GLOB-ANT\_v5.3 data ECCAD-AERIS https://eccad.sedoo.fr/#/metadata/479

CAMS data, Copernicus Climate Data Store ECMWF https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-global-atmospheric-composition-forecasts

ERA5 reanalysis, Copernicus Climate Data Store ECMWF https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-pressure-levels-monthly-means

NO2 product, S5P-PAL Data Portal S5P-PAL Data Portal https://data-portal.s5p-pal.com/

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Short summary

We use four years (2019–2022) of TROPOMI NO₂ data to map NO_x emissions in Qatar. We estimate average monthly emissions for the country and industrial facilities and derive an emission factor for the power sector. Monthly emissions have a weekly cycle reflecting the social norms in Qatar and an annual cycle consistent with the electricity production by gas-fired power plants. Their mean value is lower than the NO_x emissions in global inventories but similar to the emissions reported for 2007.