Articles | Volume 10, issue 7
https://doi.org/10.5194/gmd-10-2615-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-2615-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
10 Jul 2017
Development and technical paper |
| 10 Jul 2017
Contribution of emissions to concentrations: the TAGGING 1.0 submodel based on the Modular Earth Submodel System (MESSy 2.52)
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik
der Atmosphäre, Oberpfaffenhofen, Germany
Delft University of Technology, Aerospace Engineering, Section Aircraft Noise and Climate Effects, Delft, the Netherlands
Eleni Tsati
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik
der Atmosphäre, Oberpfaffenhofen, Germany
Mariano Mertens
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik
der Atmosphäre, Oberpfaffenhofen, Germany
Christine Frömming
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik
der Atmosphäre, Oberpfaffenhofen, Germany
Patrick Jöckel
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik
der Atmosphäre, Oberpfaffenhofen, Germany
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- TransClim (v1.0): a chemistry–climate response model for assessing the effect of mitigation strategies for road traffic on ozone V. Rieger & V. Grewe 10.5194/gmd-15-5883-2022
- Source attribution of European surface O<sub>3</sub> using a tagged O<sub>3</sub> mechanism A. Lupaşcu & T. Butler 10.5194/acp-19-14535-2019
- COVID-19 induced lower-tropospheric ozone changes M. Mertens et al. 10.1088/1748-9326/abf191
- An advanced method of contributing emissions to short-lived chemical species (OH and HO<sub>2</sub>): the TAGGING 1.1 submodel based on the Modular Earth Submodel System (MESSy 2.53) V. Rieger et al. 10.5194/gmd-11-2049-2018
- Scientific assessment of background ozone over the U.S.: Implications for air quality management D. Jaffe et al. 10.1525/elementa.309
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25 citations as recorded by crossref.
- Attribution of surface ozone to NOx and volatile organic compound sources during two different high ozone events A. Lupaşcu et al. 10.5194/acp-22-11675-2022
- Attributing ozone and its precursors to land transport emissions in Europe and Germany M. Mertens et al. 10.5194/acp-20-7843-2020
- Overview: On the transport and transformation of pollutants in the outflow of major population centres – observational data from the EMeRGe European intensive operational period in summer 2017 M. Andrés Hernández et al. 10.5194/acp-22-5877-2022
- Source attribution of near-surface ozone trends in the United States during 1995–2019 P. Li et al. 10.5194/acp-23-5403-2023
- Dynamics and composition of the Asian summer monsoon anticyclone K. Gottschaldt et al. 10.5194/acp-18-5655-2018
- A multi-method assessment of the regional sensitivities between flight altitude and short-term O3 climate warming from aircraft NO x emissions J. Maruhashi et al. 10.1088/1748-9326/ad376a
- Source apportionment and sensitivity analysis: two methodologies with two different purposes A. Clappier et al. 10.5194/gmd-10-4245-2017
- Algorithmic climate change functions for the use in eco-efficient flight planning J. van Manen & V. Grewe 10.1016/j.trd.2018.12.016
- Influence of weather situation on non-CO<sub>2</sub> aviation climate effects: the REACT4C climate change functions C. Frömming et al. 10.5194/acp-21-9151-2021
- Case Study for Testing the Validity of NOx-Ozone Algorithmic Climate Change Functions for Optimising Flight Trajectories P. Rao et al. 10.3390/aerospace9050231
- Revisiting the contribution of land transport and shipping emissions to tropospheric ozone M. Mertens et al. 10.5194/acp-18-5567-2018
- TOAST 1.0: Tropospheric Ozone Attribution of Sources with Tagging for CESM 1.2.2 T. Butler et al. 10.5194/gmd-11-2825-2018
- Local fractions – a method for the calculation of local source contributions to air pollution, illustrated by examples using the EMEP MSC-W model (rv4_33) P. Wind et al. 10.5194/gmd-13-1623-2020
- The impact of weather patterns and related transport processes on aviation's contribution to ozone and methane concentrations from NO<sub><i>x</i></sub> emissions S. Rosanka et al. 10.5194/acp-20-12347-2020
- An inconsistency in aviation emissions between CMIP5 and CMIP6 and the implications for short-lived species and their radiative forcing R. Thor et al. 10.5194/gmd-16-1459-2023
- Rapid increase in tropospheric ozone over Southeast Asia attributed to changes in precursor emission source regions and sectors S. Li et al. 10.1016/j.atmosenv.2023.119776
- Impact of the eruption of Mt Pinatubo on the chemical composition of the stratosphere M. Kilian et al. 10.5194/acp-20-11697-2020
- Attribution of ground-level ozone to anthropogenic and natural sources of nitrogen oxides and reactive carbon in a global chemical transport model T. Butler et al. 10.5194/acp-20-10707-2020
- Are contributions of emissions to ozone a matter of scale? – a study using MECO(n) (MESSy v2.50) M. Mertens et al. 10.5194/gmd-13-363-2020
- TransClim (v1.0): a chemistry–climate response model for assessing the effect of mitigation strategies for road traffic on ozone V. Rieger & V. Grewe 10.5194/gmd-15-5883-2022
- Source attribution of European surface O<sub>3</sub> using a tagged O<sub>3</sub> mechanism A. Lupaşcu & T. Butler 10.5194/acp-19-14535-2019
- COVID-19 induced lower-tropospheric ozone changes M. Mertens et al. 10.1088/1748-9326/abf191
- An advanced method of contributing emissions to short-lived chemical species (OH and HO<sub>2</sub>): the TAGGING 1.1 submodel based on the Modular Earth Submodel System (MESSy 2.53) V. Rieger et al. 10.5194/gmd-11-2049-2018
- Scientific assessment of background ozone over the U.S.: Implications for air quality management D. Jaffe et al. 10.1525/elementa.309
- Predicting the climate impact of aviation for en-route emissions: the algorithmic climate change function submodel ACCF 1.0 of EMAC 2.53 F. Yin et al. 10.5194/gmd-16-3313-2023
Latest update: 18 Apr 2024
Short summary
We present a diagnostics, implemented in an Earth system model, which keeps track of the contribution of source categories (mainly emission sectors) to various concentrations (O3 and HOx). For the first time, it takes into account chemically competing effects, e.g., the competition between ozone precursors in the production of ozone. We show that the results are in-line with results from other tagging schemes and provide plausibility checks for OH and HO2, which have not previously been tagged.
We present a diagnostics, implemented in an Earth system model, which keeps track of the...
