Articles | Volume 9, issue 9
Geosci. Model Dev., 9, 3363–3392, 2016

Special issue: The Modular Earth Submodel System (MESSy) (ACP/GMD inter-journal...

Geosci. Model Dev., 9, 3363–3392, 2016

Model description paper 21 Sep 2016

Model description paper | 21 Sep 2016

Air traffic simulation in chemistry-climate model EMAC 2.41: AirTraf 1.0

Hiroshi Yamashita et al.

Related authors

Newly developed aircraft routing options for air traffic simulation in the chemistry–climate model EMAC 2.53: AirTraf 2.0
Hiroshi Yamashita, Feijia Yin, Volker Grewe, Patrick Jöckel, Sigrun Matthes, Bastian Kern, Katrin Dahlmann, and Christine Frömming
Geosci. Model Dev., 13, 4869–4890,,, 2020
Short summary

Related subject area

Climate and Earth system modeling
Convolutional conditional neural processes for local climate downscaling
Anna Vaughan, Will Tebbutt, J. Scott Hosking, and Richard E. Turner
Geosci. Model Dev., 15, 251–268,,, 2022
Short summary
Impact of increased resolution on long-standing biases in HighResMIP-PRIMAVERA climate models
Eduardo Moreno-Chamarro, Louis-Philippe Caron, Saskia Loosveldt Tomas, Javier Vegas-Regidor, Oliver Gutjahr, Marie-Pierre Moine, Dian Putrasahan, Christopher D. Roberts, Malcolm J. Roberts, Retish Senan, Laurent Terray, Etienne Tourigny, and Pier Luigi Vidale
Geosci. Model Dev., 15, 269–289,,, 2022
Short summary
Modeling reservoir surface temperatures for regional and global climate models: a multi-model study on the inflow and level variation effects
Manuel C. Almeida, Yurii Shevchuk, Georgiy Kirillin, Pedro M. M. Soares, Rita M. Cardoso, José P. Matos, Ricardo M. Rebelo, António C. Rodrigues, and Pedro S. Coelho
Geosci. Model Dev., 15, 173–197,,, 2022
Short summary
Importance of radiative transfer processes in urban climate models: a study based on the PALM 6.0 model system
Mohamed H. Salim, Sebastian Schubert, Jaroslav Resler, Pavel Krč, Björn Maronga, Farah Kanani-Sühring, Matthias Sühring, and Christoph Schneider
Geosci. Model Dev., 15, 145–171,,, 2022
Short summary
ChAP 1.0: a stationary tropospheric sulfur cycle for Earth system models of intermediate complexity
Alexey V. Eliseev, Rustam D. Gizatullin, and Alexandr V. Timazhev
Geosci. Model Dev., 14, 7725–7747,,, 2021
Short summary

Cited articles

Airbus: Airbus Global Market Forecast 2015-2034,, last access: December 2015.
Anthony, P.: The fuel factor, ICAO Journal, 64, 12–13, 2009.
Baker, J. E.: Adaptive selection methods for genetic algorithms, in: Proceedings of an International Conference on Genetic Algorithms and their applications, Hillsdale, New Jersey, 101–111, 1985.
Boeing: Current Market Outlook 2015–2034,, last access: December 2015.
Burkhardt, U. and Kärcher, B.: Global radiative forcing from contrail cirrus, Nature Climate Change, 1, 54–58, 2011.
Short summary
This study introduces AirTraf v1.0 for climate impact evaluations, which performs global air traffic simulations in the ECHAM5/MESSy Atmospheric Chemistry model. AirTraf simulations were demonstrated with great circle and flight time routing options for a specific winter day, assuming an Airbus A330 aircraft. The results confirmed that AirTraf simulates the air traffic properly for the two options. Calculated flight time, fuel consumption and NOx emission index are comparable to reference data.