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Central Project Z03:
Joint model development and modelling synthesis

Brief Summary

In this project we aim at joining and synthesizing the modelling efforts within the CRC to develop a consistent modelling system for the UTLS region based on the ICON model with the prognostic gravity-wave module MS-GWaM, utilising the MESSy interface structure. The project will involve the collaboration from all modelling projects within the CRC and is coordinated with the core development team of the MESSy system (which consists partly of PIs of the CRC). At the end of the current phase of the CRC, we will provide a chemistry-climate modelling system including aerosols with ICON as the dynamical core and with the novel parameterisations developed in the CRC, e.g. expansions of MS-GWaM to include subgrid-scale effects on tracer transport and mixing and also a flow-dependent gravity-wave source due to jets and fronts. All code will be implemented in ONE combined, comprehensive model distribution, such that for the upcoming phases of the CRC a unified modelling system can be utilised (with the option of a choice of relevant processes for the respective studies).


Prof. Dr. Holger Tost - TPChange

Prof. Dr. Holger Tost

Principal Investigator

Johannes Gutenberg-Universität Mainz, Institut für Physik der Atmosphäre


Prof. Dr. Ulrich Achatz - TPChange

Prof. Dr. Ulrich Achatz

Principal Investigator

Goethe-Universität Frankfurt, Institut für Atmosphäre und Umwelt


Marc Barra, Doctoral Candidate - TPChange

Marc Bär

Doctoral Candidate

Johannes Gutenberg-Universität Mainz, Institut für Physik der Atmosphäre


Dr, Gökce Tuba Masur - TPChange

Former member:
Dr. Gökce Tuba Masur


Goethe-Universität Frankfurt, Institut für Atmosphäre und Umwelt



Achatz, U. et al., (2023): Atmospheric Gravity Waves: Processes and Parameterization,  J. Atmos. Sci., accepted.

Chouksey, M., C. Eden, G. T. Masur, and M. Oliver (2023): A comparison of methods to balance geophysical flows. Journal of Fluid Mechanics 971, A2. doi:

Masur, G. T., H. Mohamad, and M. Oliver (2022): Quasi-convergence of an implementation of optimal balance by backward-forward nudging. Multiscale Modeling & Simulation 21 (2), 624–640. doi: