2019
DOI: 10.1038/s41598-019-56428-5
|View full text |Cite
|
Sign up to set email alerts
|

Quantification of nitrogen oxides emissions from build-up of pollution over Paris with TROPOMI

Abstract: Nitrogen dioxide (NO2) is a regulated air pollutant that is of particular concern in many cities, where concentrations are high. Emissions of nitrogen oxides to the atmosphere lead to the formation of ozone and particulate matter, with adverse impacts on human health and ecosystems. The effects of emissions are often assessed through modeling based on inventories relying on indirect information that is often outdated or incomplete. Here we show that NO2 measurements from the new, high-resolution TROPOMI satell… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

12
150
3

Year Published

2020
2020
2023
2023

Publication Types

Select...
5
3

Relationship

0
8

Authors

Journals

citations
Cited by 146 publications
(169 citation statements)
references
References 32 publications
(59 reference statements)
12
150
3
Order By: Relevance
“…have been scaled to the OMI data for that year with the multiplicative factor indicated in legend. The low bias for 10 TROPOMI NO2 is similar with the finding by Lorente et al (2019).…”
Section: Meteorologically Driven 2013-2019 Ozone Increase In the Nortsupporting
confidence: 86%
See 1 more Smart Citation
“…have been scaled to the OMI data for that year with the multiplicative factor indicated in legend. The low bias for 10 TROPOMI NO2 is similar with the finding by Lorente et al (2019).…”
Section: Meteorologically Driven 2013-2019 Ozone Increase In the Nortsupporting
confidence: 86%
“…Phys., 18, 14095-14111, http://dx.doi.org/10.5194/acp-18-14095-2018Phys., 18, 14095-14111, http://dx.doi.org/10.5194/acp-18-14095- , 2018 Zhu, L., Mickley, L. J., Jacob, D. J., Marais, E. A., Sheng, J., Hu, L., González Abad, G., and Chance, K.: Long-term (2005Long-term ( -2014 have been scaled to the OMI data for that year with the multiplicative factor indicated in legend. The low bias for TROPOMI NO2 is similar with the finding by Lorente et al (2019). have been scaled to the OMI data for that year with the multiplicative factor indicated in legend.…”
Section: Meteorologically Driven 2013-2019 Ozone Increase In the Nortsupporting
confidence: 70%
“…Meanwhile, TROPOMI provides global maps of the tropospheric NO 2 column on a daily basis with improved accuracy and higher spatial resolution compared with OMI (Griffin et al, 2019). Assimilating TROPOMI NO 2 has potential for improved evaluation of the changing landscape of emissions on urban-to-regional and regional-to-global scales (Lorente et al, 2019). Assimilation of other retrievals such as OMI and TROPOMI CH 2 O; CrIS Isoprene (Fu et al, 2019); and TES, CrIS, and IASI NH 3 (Shephard and Cady-Pereira, 2015) would also help improve the model chemistry and tropospheric ozone reanalysis.…”
Section: Challenges With the Next Generation Of Satellite Datamentioning
confidence: 99%
“…These ozone precursors are largely controlled by anthropogenic and natural emissions, e.g., transportation, industry, lightning, biogenic and biomass burning sources. Analyses of co-emitted species have been used to explain emission and ozone production processes (e.g., Mauzerall et al, 1998;Ryerson et al, 1998).…”
Section: Introductionmentioning
confidence: 99%
“…Meanwhile, TROPOMI provides global maps of the tropospheric NO 2 column on a daily basis with improved accuracy and higher spatial resolution compared with OMI (Griffin et al, 2019). Assimilating TROPOMI NO 2 has potential for improved evaluation of the changing landscape of emissions on urban-to-regional and regional-to-global scales (Lorente et al, 2019). Assimilation of other retrievals such as OMI and TROPOMI CH 2 O, CrIS Isoprene (Fu et al, 2019), and TES, CrIS, and IASI NH 3 (Shephard and Cady-Pereira, 2015) would also help improve the model chemistry and tropospheric ozone reanalysis.…”
Section: Challenges With Next Generation Satellite Datamentioning
confidence: 99%