Carbon monoxide air pollution on sub-city scales and along arterial roads detected by the Tropospheric Monitoring Instrument

Carbon monoxide air pollution on sub-city scales and along arterial roads detected by the Tropospheric Monitoring Instrument. Borsdorff, T., aan de Brugh, J., Pandey, S., Hasekamp, O., Aben, I., Houweling, S., & Landgraf, J. Atmospheric Chemistry and Physics, 19(6):3579–3588, March, 2019.

Paper doi abstract bibtex

Abstract. The Tropospheric Monitoring Instrument (TROPOMI) on the Sentinel-5 Precursor satellite provides measurements of carbon monoxide (CO) total column concentrations based on earthshine radiance measurements in the 2.3 µm spectral range with a spatial resolution of 7 km×7 km and daily global coverage. Due to the high accuracy of the observations, CO pollution can be detected over cities and industrial areas using single orbit overpasses. In this study, we analyzed local CO enhancements in an area around Iran from 1 November to 20 December 2017. We employed the Weather Research and Forecasting (WRF) model v3.8.1 using the EDGAR v4.2 emission inventory and evaluated CO emissions from the cities of Tehran, Yerevan, Urmia, and Tabriz on a spatial resolution comparable to that of TROPOMI. For background conditions, the WRF simulation agrees well with TROPOMI CO, with a mean difference of 5.7 %. However, the emissions for the city area had to be significantly increased in order to match the observations. Moreover, significant differences at the sub-city scale remain. To match the TROPOMI CO observations around the Armenian city of Yerevan, it is necessary to introduce CO emissions along a southeast arterial road of Yerevan. Overall, this hints at deficits in the EDGAR inventory in the region around Iran and indicates TROPOMI's capability to identify localized CO pollution on sub-city scales, which at the same time challenges current atmospheric modeling at high spatial and temporal resolution.

@article{borsdorff_carbon_2019,
	title = {Carbon monoxide air pollution on sub-city scales and along arterial roads detected by the {Tropospheric} {Monitoring} {Instrument}},
	volume = {19},
	issn = {1680-7324},
	url = {https://acp.copernicus.org/articles/19/3579/2019/},
	doi = {10.5194/acp-19-3579-2019},
	abstract = {Abstract. The Tropospheric Monitoring Instrument (TROPOMI) on the Sentinel-5 Precursor
satellite provides measurements of carbon monoxide (CO) total column
concentrations based on earthshine radiance measurements in the
2.3 µm spectral range with a spatial resolution of
7 km×7 km and daily global coverage. Due to the high
accuracy of the observations, CO pollution can be detected over cities and
industrial areas using single orbit overpasses. In this study, we analyzed
local CO enhancements in an area around Iran from 1 November to 20 December 
2017. We employed the Weather Research and Forecasting (WRF) model v3.8.1
using the EDGAR v4.2 emission inventory and evaluated CO emissions from the
cities of Tehran, Yerevan, Urmia, and Tabriz on a spatial resolution
comparable to that of TROPOMI. For background conditions, the WRF simulation
agrees well with TROPOMI CO, with a mean difference of 5.7 \%. However,
the emissions for the city area had to be significantly increased in order to
match the observations. Moreover, significant differences at the sub-city
scale remain. To match the TROPOMI CO observations around the Armenian city
of Yerevan, it is necessary to introduce CO emissions along a southeast
arterial road of Yerevan. Overall, this hints at deficits in the EDGAR
inventory in the region around Iran and indicates TROPOMI's capability to
identify localized CO pollution on sub-city scales, which at the same time
challenges current atmospheric modeling at high spatial and temporal
resolution.},
	language = {en},
	number = {6},
	urldate = {2020-09-24},
	journal = {Atmospheric Chemistry and Physics},
	author = {Borsdorff, Tobias and aan de Brugh, Joost and Pandey, Sudhanshu and Hasekamp, Otto and Aben, Ilse and Houweling, Sander and Landgraf, Jochen},
	month = mar,
	year = {2019},
	pages = {3579--3588},
}

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Due to the high accuracy of the observations, CO pollution can be detected over cities and industrial areas using single orbit overpasses. In this study, we analyzed local CO enhancements in an area around Iran from 1 November to 20 December 2017. We employed the Weather Research and Forecasting (WRF) model v3.8.1 using the EDGAR v4.2 emission inventory and evaluated CO emissions from the cities of Tehran, Yerevan, Urmia, and Tabriz on a spatial resolution comparable to that of TROPOMI. For background conditions, the WRF simulation agrees well with TROPOMI CO, with a mean difference of 5.7 %. However, the emissions for the city area had to be significantly increased in order to match the observations. Moreover, significant differences at the sub-city scale remain. To match the TROPOMI CO observations around the Armenian city of Yerevan, it is necessary to introduce CO emissions along a southeast arterial road of Yerevan. 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The Tropospheric Monitoring Instrument (TROPOMI) on the Sentinel-5 Precursor\nsatellite provides measurements of carbon monoxide (CO) total column\nconcentrations based on earthshine radiance measurements in the\n2.3 µm spectral range with a spatial resolution of\n7 km×7 km and daily global coverage. Due to the high\naccuracy of the observations, CO pollution can be detected over cities and\nindustrial areas using single orbit overpasses. In this study, we analyzed\nlocal CO enhancements in an area around Iran from 1 November to 20 December \n2017. We employed the Weather Research and Forecasting (WRF) model v3.8.1\nusing the EDGAR v4.2 emission inventory and evaluated CO emissions from the\ncities of Tehran, Yerevan, Urmia, and Tabriz on a spatial resolution\ncomparable to that of TROPOMI. For background conditions, the WRF simulation\nagrees well with TROPOMI CO, with a mean difference of 5.7 \\%. 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