Top-down quantification of NO x emissions from traffic in an urban area using a high resolution regional atmospheric chemistry model
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Top-down quantification of NO x emissions from traffic in an urban area using a high resolution regional atmospheric chemistry model ; year:2017 ; pages:1-40
Atmospheric chemistry and physics / Discussions. Discussions ; (2017), 1-40
- Creator
-
Kuik, Friderike
Kerschbaumer, Andreas
Lauer, Axel
Lupaşcu, Aura
von Schneidemesser, Erika
Butler, Tim M.
- DOI
-
10.5194/acp-2017-1037
- URN
-
urn:nbn:de:101:1-201711244677
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:19 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Kuik, Friderike
- Kerschbaumer, Andreas
- Lauer, Axel
- Lupaşcu, Aura
- von Schneidemesser, Erika
- Butler, Tim M.
Other Objects (12)
Top–down quantification of NO x emissions from traffic in an urban area using a high-resolution regional atmospheric chemistry model
Errors in top-down estimates of emissions using a known source
Errors in top-down estimates of emissions using a known source
Agricultural ammonia emissions in China: reconciling bottom-up and top-down estimates
Western European N2O emissions: A top-down approach based on atmospheric observations
Agricultural ammonia emissions in China: reconciling bottom-up and top-down estimates
Top-down constraints on atmospheric mercury emissions and implications for global biogeochemical cycling
Global top-down smoke-aerosol emissions estimation using satellite fire radiative power measurements
Top-down versus bottom-up macroeconomics
Intrapreneurship - top-down or bottom up
Top-down, bottom-up : socializing architecture
Rank-revealing top-down ULV factorizations
Top–down quantification of NO x emissions from traffic in an urban area using a high-resolution regional atmospheric chemistry model
Errors in top-down estimates of emissions using a known source
Errors in top-down estimates of emissions using a known source
Agricultural ammonia emissions in China: reconciling bottom-up and top-down estimates
Western European N2O emissions: A top-down approach based on atmospheric observations
Agricultural ammonia emissions in China: reconciling bottom-up and top-down estimates
Top-down constraints on atmospheric mercury emissions and implications for global biogeochemical cycling
Global top-down smoke-aerosol emissions estimation using satellite fire radiative power measurements
Top-down versus bottom-up macroeconomics
Intrapreneurship - top-down or bottom up
Top-down, bottom-up : socializing architecture
Rank-revealing top-down ULV factorizations
Top–down quantification of NO x emissions from traffic in an urban area using a high-resolution regional atmospheric chemistry model
Errors in top-down estimates of emissions using a known source
Errors in top-down estimates of emissions using a known source
Agricultural ammonia emissions in China: reconciling bottom-up and top-down estimates
Western European N2O emissions: A top-down approach based on atmospheric observations
Agricultural ammonia emissions in China: reconciling bottom-up and top-down estimates
Top-down constraints on atmospheric mercury emissions and implications for global biogeochemical cycling
Global top-down smoke-aerosol emissions estimation using satellite fire radiative power measurements
Top-down versus bottom-up macroeconomics
Intrapreneurship - top-down or bottom up
Top-down, bottom-up : socializing architecture