A light-weight NO2 to NOx conversion model for quantifying NOx emissions of point sources from NO2 satellite observations

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: A light-weight NO₂ to NO_x conversion model for quantifying NO_x emissions of point sources from NO₂ satellite observations ; day:23 ; month:01 ; year:2024 ; pages:1-28 ; extent:28
EGUsphere ; (23.01.2024), 1-28 (gesamt 28)

Creator: Meier, Sandro
Koene, Erik
Krol, Maarten
Brunner, Dominik
Damm, Alexander
Kuhlmann, Gerrit

DOI: 10.5194/egusphere-2024-159

URN: urn:nbn:de:101:1-2024012503155927518366

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:32 AM CEST

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Associated

Meier, Sandro
Koene, Erik
Krol, Maarten
Brunner, Dominik
Damm, Alexander
Kuhlmann, Gerrit

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A light-weight NO<sub>2</sub> to NO<em><sub>x</sub></em> conversion model for quantifying NO<sub><em>x</em></sub> emissions of point sources from NO<sub>2</sub> satellite observations

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Other Objects (12)

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Tracking daily NO<sub><em>x</em></sub> emissions from an urban agglomeration based on TROPOMI NO<sub>2</sub> and a local ensemble transform Kalman filter

A lightweight NO<sub>2</sub>-to-NO<sub><italic>x</italic></sub> conversion model for quantifying NO<sub><italic>x</italic></sub> emissions of point sources from NO<sub>2</sub> satellite observations

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Comparison of airborne measurements of NO, NO<sub>2</sub>, HONO, NO<sub>y</sub> and CO during FIREX-AQ

Thermal dissociation cavity-enhanced absorption spectrometer for measuring NO<sub>2</sub>, RO<sub>2</sub>NO<sub>2</sub>, and RONO<sub>2</sub> in the atmosphere

A research product for tropospheric NO<sub>2</sub> columns from Geostationary Environment Monitoring Spectrometer based on Peking University OMI NO<sub>2</sub> algorithm

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NO<sub>3</sub> chemistry of wildfire emissions: a kinetic study of the gas-phase reactions of furans with the NO<sub>3</sub> radical

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NO<sub><em>x</em></sub> emissions in France in 2019–2021 as estimated by the high spatial resolution assimilation of TROPOMI NO<sub>2</sub> observations

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