Wave Driven Circulations

When large scale wind systems are modified by the effect of smaller scale waves, and this also changes the waves, then we call this wave meanflow interaction. A prominent example and also the subject of our research is the quasi-biennial oscillation or QBO.

The QBO consists of westerly and easterly jet-like winds going all around the globe high above the equator. Each jet is created in the higher stratosphere from where it propagates downward to the vicinity of the tropopause. Once a westerly jet has moved sufficiently far downwards, an easterly jet forms above, and vice versa. A full cycle has a length of a bit more than 2 years. The downward propagation of these jets and the existence of westerly wind jets at the equator is the result of wave meanflow interaction.

In this mechanism many scales are involved, from gravity waves with length scales of ca. 100 km to the global scale of the QBO jets. The interaction of such different scales makes the QBO a particularly interesting case of wave meanflow interaction. This interaction also makes the attempt to model the QBO a major challenge.

With our research we would like to understand better the details of this interaction, and beyond this how the processes creating the QBO and the QBO itself depend on climate conditions. Therefore, our group is keen to develop an innovative numerical model to provide the first direct simulation of the QBO, where the dynamics is resolved from the scales of deep convection and tropical waves until the global scale of the QBO. Such simulations will give us new insight in the coupling between these phenomena and the sensitivity to climate change.

Group members and publications

Scientific Programmer
B 315
Student Helper
  • Hohenegger, C., Korn, P., Linardakis, L., Redler, R., Schnur, R., Adamidis, P., Bao, J., Bastin, S., Behravesh, M., Bergemann, M., Biercamp, J., Bockelmann, H., Brokopf, R., Brüggemann, N., Casaroli, L., Chegini, F., Datseris, G., Esch, M., George, G., Giorgetta, M., Gutjahr, O., Haak, H., Hanke, M., Ilyina, T., Jahns, T., Jungclaus, J., Kern, M., Klocke, D., Kluft, L., Kölling, T., Kornblueh, L., Kosukhin, S., Kroll , C., Lee, J., Mauritsen, T., Mehlmann, C., Mieslinger , T., Naumann, A., Paccini, L., Peinado, A., Praturi, D., Putrasahan, D., Rast, S., Riddick, T., Roeber, N., Schmidt, H., Schulzweida, U., Schütte, F., Segura, H., Shevchenko, R., Singh, V., Specht, M., Stephan, C., von Storch, J., Vogel, R., Wengel, C., Winkler, M., Ziemen, F., Marotzke, J. & Stevens, B. (2023). ICON-Sapphire: simulating the components of the Earth System and their interactions at kilometer and subkilometer scales. Geoscientific Model Development, 16, 779-811. doi:10.5194/gmd-16-779-2023 [ Fulltext]
  • Giorgetta, M., Sawyer, W., Lapillonne, X., Adamidis, P., Alexeev, D., Clement, V., Dietlicher, R., Engels, J., Esch, M., Franke, H., Frauen, C., Hannah, W., Hillman, B., Kornblueh, L., Marti, P., Norman, M., Pincus, R., Rast, S., Reinert, D., Schnur, R., Schulzweida, U. & Stevens, B. (2022). The ICON-A model for direct QBO simulations on GPUs (version icon-cscs:baf28a514). Geoscientific Model Development, 15, 6985-7016. doi:10.5194/gmd-15-6985-2022 [ Fulltext]
  • Grundner, A., Beucler, T., Gentine, P., Iglesias-Suarez, F., Giorgetta, M. & Eyring, V. (2022). Deep learning based cloud cover parameterization for ICON. Journal of Advances in Modeling Earth Systems, 14: e2021MS002959. doi:10.1029/2021MS002959 [ Fulltext]
  • Jungclaus, J., Lorenz, S., Schmidt, H., Brovkin, V., Brüggemann, N., Chegini, F., Crueger, T., de Vrese, P., Gayler, V., Giorgetta, M., Gutjahr, O., Haak, H., Hagemann , S., Hanke, M., Ilyina, T., Korn, P., Kröger, J., Linardakis, L., Mehlmann, C., Mikolajewicz, U., Müller, W., Nabel, J., Notz, D., Pohlmann, H., Putrasahan, D., Raddatz, T., Ramme , L., Redler, R., Reick, C., Riddick, T., Sam, T., Schneck, R., Schnur, R., Schupfner, M., von Storch, J., Wachsmann, F., Wieners, K.-H., Ziemen, F., Stevens, B., Marotzke, J. & Claussen, M. (2022). The ICON Earth System Model Version 1.0. Journal of Advances in Modeling Earth Systems, 14: e2021MS002813. doi:10.1029/2021MS002813 [ Fulltext]
  • Mauritsen, T., Redler, R., Esch, M., Stevens, B., Hohenegger, C., Klocke, D., Brokopf, R., Haak, H., Linardakis, L., Röber, N. & Schnur, R. (2022). Early development and tuning of a global coupled cloud resolving model, and its fast response to increasing CO2. Tellus Series A: Dynamic Meteorology and Oceanography, 74, 346-363 . doi:10.16993/tellusa.54 [ Fulltext]
  • Salzmann, M., Ferrachat, S., Tully, C., Munch, S., Watson-Parris, D., Neubauer, D., Siegenthaler-LeDrian, C., Rast, S., Heinold, B., Crueger, T., Brokopf, R., Muelmenstadt, J., Quaas, J., Wan, H., Zhang, K., Lohmann, U., Stier, P. & Tegen, I. (2022). The global atmosphere-aerosol model ICON-A-HAM2.3-Initial model evaluation and effects of radiation balance tuning on aerosol optical thickness. Journal of Advances in Modeling Earth Systems, 14: e2021MS002699. doi:10.1029/2021MS002699 [ Fulltext]
  • Xue, H., Giorgetta, M. & Guo, J. (2022). The daytime trapped lee wave pattern and evolution induced by two small-scale mountains of different heights. Quarterly Journal of the Royal Meteorological Society, 148, 1300-1318. doi:10.1002/qj.4262 [ Fulltext]
  • Franke, H., Niemeier, U. & Visioni, D. (2021). Differences in the QBO response to stratospheric aerosol modification depending on injection strategy and species. Atmospheric Chemistry and Physics, 21, 8615-8635. doi:10.5194/acp-21-8615-2021 [ Fulltext] [ Fulltext] [ Fulltext]
  • Xue, H. & Giorgetta, M. (2021). A large-eddy simulation study on the diurnally evolving nonlinear trapped lee waves over a two-dimensional steep mountain. Journal of the Atmospheric Sciences, 78, 399-415. doi:10.1175/JAS-D-20-0085.1 [ Fulltext]
  • Baba, Y. & Giorgetta, M. (2020). Tropical variability simulated in ICON-A with a spectral cumulus parameterization. Journal of Advances in Modeling Earth Systems, 12: e2019MS001732. doi:10.1029/2019MS001732 [ Fulltext]
  • Moseley, C., Pscheidt, I., Cioni, G. & Heinze, R. (2020). Impact of resolution on large-eddy simulation of midlatitude summertime convection. Atmospheric Chemistry and Physics, 20, 2891-2910. doi:10.5194/acp-20-2891-2020 [ Fulltext] [ Fulltext]
  • Röber, N., Böttinger, M., Ziemen, F., Esch, M., Hohenegger, C., Redler, R., Stevens, B., Mauritsen, T., Migliore, M. & Brownlee, C. (2020). DYAMOND++: A high resolution climate model setup - Supercomputer Conference 2020. [ Fulltext]
  • von Savigny, C., Timmreck, C., Buehler, S., Burrows, J., Giorgetta, M., Hegerl, G., Horvath, A., Hoshyaripour, G., Hoose, C., Quaas, J., Malinina, E., Rozanov, A., Schmidt, H., Thomason, L., Toohey, M. & Vogel, B. (2020). The Research Unit VolImpact: Revisiting the volcanic impact on atmosphere and climate – preparations for the next big volcanic eruption. Meteorologische Zeitschrift, 3-18. doi:10.1127/metz/2019/0999 [ Fulltext]
  • Mauritsen, T., Bader, J., Becker, T., Behrens, J., Bittner, M., Brokopf, R., Brovkin, V., Claussen, M., Crueger, T., Esch, M., Fast, I., Fiedler, S., Popke, D., Gayler, V., Giorgetta, M., Goll, D., Haak, H., Hagemann, S., Hedemann, C., Hohenegger, C., Ilyina, T., Jahns, T., Jiménez de la Cuesta Otero, D., Jungclaus, J., Kleinen, T., Kloster, S., Kracher, D., Kinne, S., Kleberg, D., Lasslop, G., Kornblueh, L., Marotzke, J., Matei, D., Meraner, K., Mikolajewicz, U., Modali, K., Möbis, B., Müller, W., Nabel, J., Nam, C., Notz, D., Nyawira, S., Paulsen, H., Peters, K., Pincus, R., Pohlmann, H., Pongratz, J., Popp, M., Raddatz, T., Rast, S., Redler, R., Reick, C., Rohrschneider, T., Schemann, V., Schmidt, H., Schnur, R., Schulzweida, U., Six, K., Stein, L., Stemmler, I., Stevens, B., von Storch, J., Tian, F., Voigt, A., de Vrese, P., Wieners, K.-H., Wilkenskjeld, S., Roeckner, E. & Winkler, A. (2019). Developments in the MPI-M Earth System Model version 1.2 (MPI-ESM1.2) and its response to increasing CO2. Journal of Advances in Modeling Earth Systems, 11, 998-1038. doi:10.1029/2018MS001400 [ Fulltext]
  • Moseley, C., Henneberg, O. & Haerter , J. (2019). A statistical model for isolated convective precipitation events. Journal of Advances in Modeling Earth Systems, 11, 360-375. doi:10.1029/2018MS001383 [ Fulltext] [ Fulltext]
  • Peña-Ortiz, C., Manzini, E. & Giorgetta, M. (2019). Tropical deep convection impact on southern winter stationary waves and its modulation by the Quasi-Biennial Oscillation. Journal of Climate, 32, 7453-7467. doi:10.1175/JCLI-D-18-0763.1 [ Fulltext]
  • Zarzycki, C., Jablonowski, C., Kent, J., Lauritzen, P., Nair, R., Reed, K., Ullrich, P., Hall, D., Taylor, M., Dazlich, D., Heikes, R., Konor, C., Randall, D., Chen, X., Harris, L., Giorgetta, M., Reinert, D., Kuhnlein, C., Walko, R., Lee, V., Qaddouri, A., Tanguay, M., Miura, H., Ohno, T., Yoshida, R., Park, S.-H., Klemp, J. & Skamarock, W. (2019). DCMIP2016: the splitting supercell test case. Geoscientific Model Development, 12, 879-892. doi:10.5194/gmd-12-879-2019 [ Fulltext]
  • Crueger, T., Giorgetta, M., Brokopf, R., Esch, M., Fiedler, S., Hohenegger, C., Kornblueh, L., Mauritsen, T., Nam, C., Naumann, A., Peters, K., Rast, S., Roeckner, E., Schmidt, H., Sakradzija, M., Vial, J., Vogel, R. & Stevens, B. (2018). ICON-A: the atmospheric component of the ICON Earth System Model. Part II: Model evaluation. Journal of Advances in Modeling Earth Systems, 10, 1638-1662. doi:10.1029/2017MS001233 [ Fulltext]
  • Giorgetta, M., Brokopf, R., Crueger, T., Esch, M., Fiedler, S., Helmert, J., Hohenegger, C., Kornblueh, L., Köhler, M., Manzini, E., Mauritsen, T., Nam, C., Raddatz, T., Rast, S., Reinert, D., Sakradzija, M., Schmidt, H., Schneck, R., Schnur, R., Silvers, L., Wan, H., Zängl, G. & Stevens, B. (2018). ICON-A: the atmospheric component of the ICON Earth System Model. Part I: Model description. Journal of Advances in Modeling Earth Systems, 10, 1613-1637. doi:10.1029/2017MS001242 [ Fulltext]
  • Müller, S., Manzini, E., Giorgetta, M., Sato, K. & Nasuno, T. (2018). Convectively generated gravity waves in high resolution models of tropical dynamics. Journal of Advances in Modeling Earth Systems, 10, 2564-2588. doi:10.1029/2018MS001390 [ Fulltext]
  • Schroeter, J., Rieger, D., Stassen, C., Vogel, H., Weimer, M., Werchner, S., Foerstner, J., Pril, F., Reinert, D., Zaengl, G., Giorgetta, M., Ruhnke, R., Vogel, B. & Braesicke, P. (2018). ICON-ART 2.1: a flexible tracer framework and its application for composition studies in numerical weather forecasting and climate simulations. Geoscientific Model Development, 11, 4043-4068. doi:10.5194/gmd-11-4043-2018 [ Fulltext]


Dr. Marco Giorgetta

Group leader
Phone: +49 (0)40 41173-358
marco.giorgetta@we dont want spammpimet.mpg.de

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