Articles | Volume 23, issue 7
https://doi.org/10.5194/acp-23-4105-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-23-4105-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Apr 2023
Research article |
| 05 Apr 2023
| 05 Apr 2023
Numerical modelling of relative contribution of planetary waves to the atmospheric circulation
Andrey V. Koval
Atmospheric Physics Department, Saint Petersburg State University,
Saint Petersburg, 199034, Russia
Department of Meteorological Forecasts, Russian State
Hydrometeorological University, Saint Petersburg, 195196, Russia
Olga N. Toptunova
Department of Meteorological Forecasts, Russian State
Hydrometeorological University, Saint Petersburg, 195196, Russia
Maxim A. Motsakov
Department of Meteorological Forecasts, Russian State
Hydrometeorological University, Saint Petersburg, 195196, Russia
Ksenia A. Didenko
Atmospheric Physics Department, Saint Petersburg State University,
Saint Petersburg, 199034, Russia
Department of Meteorological Forecasts, Russian State
Hydrometeorological University, Saint Petersburg, 195196, Russia
Tatiana S. Ermakova
Atmospheric Physics Department, Saint Petersburg State University,
Saint Petersburg, 199034, Russia
Department of Meteorological Forecasts, Russian State
Hydrometeorological University, Saint Petersburg, 195196, Russia
Nikolai M. Gavrilov
Atmospheric Physics Department, Saint Petersburg State University,
Saint Petersburg, 199034, Russia
Eugene V. Rozanov
CORRESPONDING AUTHOR
Physikalisch-Meteorologisches Observatorium, Davos World Radiation
Centre, Davos Dorf, 7260, Switzerland
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The main patterns of tropical oscillations influence on atmospheric planetary waves were investigated by numerical simulation of atmospheric circulation.
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A new full 3-D time-dependent model, based on SOCOL-AERv2, of beryllium atmospheric production, transport, and deposition has been developed and validated using directly measured data. The model is recommended to be used in studies related to, e.g., atmospheric dynamical patterns, extreme solar particle storms, long-term solar activity reconstruction from cosmogenic proxy data, and solar–terrestrial relations.
Arseniy Karagodin-Doyennel, Eugene Rozanov, Timofei Sukhodolov, Tatiana Egorova, Alfonso Saiz-Lopez, Carlos A. Cuevas, Rafael P. Fernandez, Tomás Sherwen, Rainer Volkamer, Theodore K. Koenig, Tanguy Giroud, and Thomas Peter
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Here, we present the iodine chemistry module in the SOCOL-AERv2 model. The obtained iodine distribution demonstrated a good agreement when validated against other simulations and available observations. We also estimated the iodine influence on ozone in the case of present-day iodine emissions, the sensitivity of ozone to doubled iodine emissions, and when considering only organic or inorganic iodine sources. The new model can be used as a tool for further studies of iodine effects on ozone.
Timofei Sukhodolov, Tatiana Egorova, Andrea Stenke, William T. Ball, Christina Brodowsky, Gabriel Chiodo, Aryeh Feinberg, Marina Friedel, Arseniy Karagodin-Doyennel, Thomas Peter, Jan Sedlacek, Sandro Vattioni, and Eugene Rozanov
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This paper features the new atmosphere–ocean–aerosol–chemistry–climate model SOCOLv4.0 and its validation. The model performance is evaluated against reanalysis products and observations of atmospheric circulation and trace gas distribution, with a focus on stratospheric processes. Although we identified some problems to be addressed in further model upgrades, we demonstrated that SOCOLv4.0 is already well suited for studies related to chemistry–climate–aerosol interactions.
Andrey V. Koval, Wen Chen, Ksenia A. Didenko, Tatiana S. Ermakova, Nikolai M. Gavrilov, Alexander I. Pogoreltsev, Olga N. Toptunova, Ke Wei, Anna N. Yarusova, and Anton S. Zarubin
Ann. Geophys., 39, 357–368, https://doi.org/10.5194/angeo-39-357-2021, https://doi.org/10.5194/angeo-39-357-2021, 2021
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Numerical modelling is used to simulate atmospheric circulation and calculate residual mean meridional circulation (RMC) during sudden stratospheric warming (SSW) events. Calculating the RMC is used to take into account wave effects on the transport of atmospheric quantities and gas species in the meridional plane. The results show that RMC undergoes significant changes at different stages of SSW and contributes to SSW development.
Margot Clyne, Jean-Francois Lamarque, Michael J. Mills, Myriam Khodri, William Ball, Slimane Bekki, Sandip S. Dhomse, Nicolas Lebas, Graham Mann, Lauren Marshall, Ulrike Niemeier, Virginie Poulain, Alan Robock, Eugene Rozanov, Anja Schmidt, Andrea Stenke, Timofei Sukhodolov, Claudia Timmreck, Matthew Toohey, Fiona Tummon, Davide Zanchettin, Yunqian Zhu, and Owen B. Toon
Atmos. Chem. Phys., 21, 3317–3343, https://doi.org/10.5194/acp-21-3317-2021, https://doi.org/10.5194/acp-21-3317-2021, 2021
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This study finds how and why five state-of-the-art global climate models with interactive stratospheric aerosols differ when simulating the aftermath of large volcanic injections as part of the Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP). We identify and explain the consequences of significant disparities in the underlying physics and chemistry currently in some of the models, which are problems likely not unique to the models participating in this study.
Sergei P. Smyshlyaev, Pavel N. Vargin, Alexander N. Lukyanov, Natalia D. Tsvetkova, and Maxim A. Motsakov
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2021-11, https://doi.org/10.5194/acp-2021-11, 2021
Revised manuscript not accepted
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The dynamical processes and changes in Arctic ozone during the winter-spring season 2019–2020 were analyzed using ozonesondes, reanalysis data and numerical experiments with chemistry-transport and trajectory models. The results of numerical experiments indicated that dynamical processes predominate in ozone loss, and the chemical ozone depletion is determined not only by heterogeneous processes on the surface of the polar stratospheric clouds, but by the gas-phase destruction as well.
Arseniy Karagodin-Doyennel, Eugene Rozanov, Ales Kuchar, William Ball, Pavle Arsenovic, Ellis Remsberg, Patrick Jöckel, Markus Kunze, David A. Plummer, Andrea Stenke, Daniel Marsh, Doug Kinnison, and Thomas Peter
Atmos. Chem. Phys., 21, 201–216, https://doi.org/10.5194/acp-21-201-2021, https://doi.org/10.5194/acp-21-201-2021, 2021
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The solar signal in the mesospheric H2O and CO was extracted from the CCMI-1 model simulations and satellite observations using multiple linear regression (MLR) analysis. MLR analysis shows a pronounced and statistically robust solar signal in both H2O and CO. The model results show a general agreement with observations reproducing a negative/positive solar signal in H2O/CO. The pattern of the solar signal varies among the considered models, reflecting some differences in the model setup.
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Short summary
Periodic changes in all hydrodynamic parameters are constantly observed in the atmosphere. The amplitude of these fluctuations increases with height due to a decrease in the atmospheric density. In the upper layers of the atmosphere, waves are the dominant form of motion. We use a model of the general circulation of the atmosphere to study the contribution to the formation of the dynamic and temperature regimes of the middle and upper atmosphere made by different global-scale atmospheric waves.
Periodic changes in all hydrodynamic parameters are constantly observed in the atmosphere. The...
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