Articles | Volume 9, issue 9
https://doi.org/10.5194/gmd-9-3363-2016
https://doi.org/10.5194/gmd-9-3363-2016
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, Volker Grewe, Patrick Jöckel, Florian Linke, Martin Schaefer, and Daisuke Sasaki

Related authors

Decision-making strategies implemented in SolFinder 1.0 to identify eco-efficient aircraft trajectories: application study in AirTraf 3.0
Federica Castino, Feijia Yin, Volker Grewe, Hiroshi Yamashita, Sigrun Matthes, Simone Dietmüller, Sabine Baumann, Manuel Soler, Abolfazl Simorgh, Maximilian Mendiguchia Meuser, Florian Linke, and Benjamin Lührs
Geosci. Model Dev., 17, 4031–4052, https://doi.org/10.5194/gmd-17-4031-2024,https://doi.org/10.5194/gmd-17-4031-2024, 2024
Short summary
Updated algorithmic climate change functions (aCCF) V1.0A: Evaluation with the climate-response model AirClim V2.0
Sigrun Matthes, Simone Dietmüller, Katrin Dahlmann, Christine Frömming, Patrick Peter, Hiroshi Yamashita, Volker Grewe, Feijia Yin, and Federica Castino
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-92,https://doi.org/10.5194/gmd-2023-92, 2023
Revised manuscript under review for GMD
Short summary
A Python library for computing individual and merged non-CO2 algorithmic climate change functions: CLIMaCCF V1.0
Simone Dietmüller, Sigrun Matthes, Katrin Dahlmann, Hiroshi Yamashita, Abolfazl Simorgh, Manuel Soler, Florian Linke, Benjamin Lührs, Maximilian M. Meuser, Christian Weder, Volker Grewe, Feijia Yin, and Federica Castino
Geosci. Model Dev., 16, 4405–4425, https://doi.org/10.5194/gmd-16-4405-2023,https://doi.org/10.5194/gmd-16-4405-2023, 2023
Short summary
Robust 4D climate-optimal flight planning in structured airspace using parallelized simulation on GPUs: ROOST V1.0
Abolfazl Simorgh, Manuel Soler, Daniel González-Arribas, Florian Linke, Benjamin Lührs, Maximilian M. Meuser, Simone Dietmüller, Sigrun Matthes, Hiroshi Yamashita, Feijia Yin, Federica Castino, Volker Grewe, and Sabine Baumann
Geosci. Model Dev., 16, 3723–3748, https://doi.org/10.5194/gmd-16-3723-2023,https://doi.org/10.5194/gmd-16-3723-2023, 2023
Short summary
Predicting the climate impact of aviation for en-route emissions: the algorithmic climate change function submodel ACCF 1.0 of EMAC 2.53
Feijia Yin, Volker Grewe, Federica Castino, Pratik Rao, Sigrun Matthes, Katrin Dahlmann, Simone Dietmüller, Christine Frömming, Hiroshi Yamashita, Patrick Peter, Emma Klingaman, Keith P. Shine, Benjamin Lührs, and Florian Linke
Geosci. Model Dev., 16, 3313–3334, https://doi.org/10.5194/gmd-16-3313-2023,https://doi.org/10.5194/gmd-16-3313-2023, 2023
Short summary

Related subject area

Climate and Earth system modeling
Validating a microphysical prognostic stratospheric aerosol implementation in E3SMv2 using observations after the Mount Pinatubo eruption
Hunter York Brown, Benjamin Wagman, Diana Bull, Kara Peterson, Benjamin Hillman, Xiaohong Liu, Ziming Ke, and Lin Lin
Geosci. Model Dev., 17, 5087–5121, https://doi.org/10.5194/gmd-17-5087-2024,https://doi.org/10.5194/gmd-17-5087-2024, 2024
Short summary
Implementing detailed nucleation predictions in the Earth system model EC-Earth3.3.4: sulfuric acid–ammonia nucleation
Carl Svenhag, Moa K. Sporre, Tinja Olenius, Daniel Yazgi, Sara M. Blichner, Lars P. Nieradzik, and Pontus Roldin
Geosci. Model Dev., 17, 4923–4942, https://doi.org/10.5194/gmd-17-4923-2024,https://doi.org/10.5194/gmd-17-4923-2024, 2024
Short summary
Modeling biochar effects on soil organic carbon on croplands in a microbial decomposition model (MIMICS-BC_v1.0)
Mengjie Han, Qing Zhao, Xili Wang, Ying-Ping Wang, Philippe Ciais, Haicheng Zhang, Daniel S. Goll, Lei Zhu, Zhe Zhao, Zhixuan Guo, Chen Wang, Wei Zhuang, Fengchang Wu, and Wei Li
Geosci. Model Dev., 17, 4871–4890, https://doi.org/10.5194/gmd-17-4871-2024,https://doi.org/10.5194/gmd-17-4871-2024, 2024
Short summary
Hector V3.2.0: functionality and performance of a reduced-complexity climate model
Kalyn Dorheim, Skylar Gering, Robert Gieseke, Corinne Hartin, Leeya Pressburger, Alexey N. Shiklomanov, Steven J. Smith, Claudia Tebaldi, Dawn L. Woodard, and Ben Bond-Lamberty
Geosci. Model Dev., 17, 4855–4869, https://doi.org/10.5194/gmd-17-4855-2024,https://doi.org/10.5194/gmd-17-4855-2024, 2024
Short summary
Evaluation of CMIP6 model simulations of PM2.5 and its components over China
Fangxuan Ren, Jintai Lin, Chenghao Xu, Jamiu A. Adeniran, Jingxu Wang, Randall V. Martin, Aaron van Donkelaar, Melanie S. Hammer, Larry W. Horowitz, Steven T. Turnock, Naga Oshima, Jie Zhang, Susanne Bauer, Kostas Tsigaridis, Øyvind Seland, Pierre Nabat, David Neubauer, Gary Strand, Twan van Noije, Philippe Le Sager, and Toshihiko Takemura
Geosci. Model Dev., 17, 4821–4836, https://doi.org/10.5194/gmd-17-4821-2024,https://doi.org/10.5194/gmd-17-4821-2024, 2024
Short summary

Cited articles

Airbus: Airbus Global Market Forecast 2015-2034, http://www.airbus.com/company/market/forecast/, 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, http://www.boeing.com/commercial/market/, last access: December 2015.
Burkhardt, U. and Kärcher, B.: Global radiative forcing from contrail cirrus, Nature Climate Change, 1, 54–58, 2011.
Download
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.