Articles | Volume 10, issue 7
https://doi.org/10.5194/gmd-10-2615-2017
https://doi.org/10.5194/gmd-10-2615-2017
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)

Volker Grewe, Eleni Tsati, Mariano Mertens, Christine Frömming, and Patrick Jöckel

Related authors

Multi-model assessment of the atmospheric and radiative effects of supersonic transport aircraft
Jurriaan A. van 't Hoff, Didier Hauglustaine, Johannes Pletzer, Agnieszka Skowron, Volker Grewe, Sigrun Matthes, Maximilian M. Meuser, Robin N. Thor, and Irene C. Dedoussi
Atmos. Chem. Phys., 25, 2515–2550, https://doi.org/10.5194/acp-25-2515-2025,https://doi.org/10.5194/acp-25-2515-2025, 2025
Short summary
Ozone source attribution in polluted European areas during summer 2017 as simulated with MECO(n)
Markus Kilian, Volker Grewe, Patrick Jöckel, Astrid Kerkweg, Mariano Mertens, Andreas Zahn, and Helmut Ziereis
Atmos. Chem. Phys., 24, 13503–13523, https://doi.org/10.5194/acp-24-13503-2024,https://doi.org/10.5194/acp-24-13503-2024, 2024
Short summary
Investigating the limiting aircraft design-dependent and environmental factors of persistent contrail formation
Liam Megill and Volker Grewe
EGUsphere, https://doi.org/10.5194/egusphere-2024-3398,https://doi.org/10.5194/egusphere-2024-3398, 2024
Short summary
The contribution of transport emissions to ozone mixing ratios and methane lifetime in 2015 and 2050 in the Shared Socioeconomic Pathways (SSPs)
Mariano Mertens, Sabine Brinkop, Phoebe Graf, Volker Grewe, Johannes Hendricks, Patrick Jöckel, Anna Lanteri, Sigrun Matthes, Vanessa S. Rieger, Mattia Righi, and Robin N. Thor
Atmos. Chem. Phys., 24, 12079–12106, https://doi.org/10.5194/acp-24-12079-2024,https://doi.org/10.5194/acp-24-12079-2024, 2024
Short summary
Influence of Temperature and Humidity on Contrail Formation Regions in EMAC: A Spring Case Study
Patrick Peter, Sigrun Matthes, Christine Frömming, Patrick Jöckel, Luca Bugliaro, Andreas Giez, Martina Krämer, and Volker Grewe
EGUsphere, https://doi.org/10.5194/egusphere-2024-2142,https://doi.org/10.5194/egusphere-2024-2142, 2024
Short summary

Related subject area

Atmospheric sciences
Indian Institute of Tropical Meteorology (IITM) High-Resolution Global Forecast Model version 1: an attempt to resolve monsoon prediction deadlock
R. Phani Murali Krishna, Siddharth Kumar, A. Gopinathan Prajeesh, Peter Bechtold, Nils Wedi, Kumar Roy, Malay Ganai, B. Revanth Reddy, Snehlata Tirkey, Tanmoy Goswami, Radhika Kanase, Sahadat Sarkar, Medha Deshpande, and Parthasarathi Mukhopadhyay
Geosci. Model Dev., 18, 1879–1894, https://doi.org/10.5194/gmd-18-1879-2025,https://doi.org/10.5194/gmd-18-1879-2025, 2025
Short summary
Cell-tracking-based framework for assessing nowcasting model skill in reproducing growth and decay of convective rainfall
Jenna Ritvanen, Seppo Pulkkinen, Dmitri Moisseev, and Daniele Nerini
Geosci. Model Dev., 18, 1851–1878, https://doi.org/10.5194/gmd-18-1851-2025,https://doi.org/10.5194/gmd-18-1851-2025, 2025
Short summary
NeuralMie (v1.0): an aerosol optics emulator
Andrew Geiss and Po-Lun Ma
Geosci. Model Dev., 18, 1809–1827, https://doi.org/10.5194/gmd-18-1809-2025,https://doi.org/10.5194/gmd-18-1809-2025, 2025
Short summary
Simulation performance of planetary boundary layer schemes in WRF v4.3.1 for near-surface wind over the western Sichuan Basin: a single-site assessment
Qin Wang, Bo Zeng, Gong Chen, and Yaoting Li
Geosci. Model Dev., 18, 1769–1784, https://doi.org/10.5194/gmd-18-1769-2025,https://doi.org/10.5194/gmd-18-1769-2025, 2025
Short summary
FootNet v1.0: development of a machine learning emulator of atmospheric transport
Tai-Long He, Nikhil Dadheech, Tammy M. Thompson, and Alexander J. Turner
Geosci. Model Dev., 18, 1661–1671, https://doi.org/10.5194/gmd-18-1661-2025,https://doi.org/10.5194/gmd-18-1661-2025, 2025
Short summary

Cited articles

Butler, T. M., Lawrence, M. G., Taraborrelli, D., and Lelieveld, J.: Multi-day ozone production potential of volatile organic compounds calculated with a tagging approach, Atmos. Environm. 45, 4082–4090, https://doi.org/10.1016/j.atmosenv.2011.03.040, 2012.
Crutzen, P. J. and Schmaizl, U.: Chemical budgets of the stratosphere, Planer. Space Sci. 31, 1009–1032, 1983.
Dahlmann, K., Grewe, V., Ponater, M., and Matthes, S.: Quantifying The Contributions Of Individual NOx Sources To The Trend In Ozone Radiative Forcing, Atmos. Environm. 45, 2860–2868, https://doi.org/10.1016/j.atmosenv.2011.02.071, 2011.
Deckert, R., Jöckel, P., Grewe, V., Gottschaldt, K.-D., and Hoor, P.: A quasi chemistry-transport model mode for EMAC, Geosci. Model Dev., 4, 195–206, https://doi.org/10.5194/gmd-4-195-2011, 2011
Download
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.
Share