The DOI matches its Crossref record.
Climatology and Forcing of the Quasi-Biennial Oscillation in the MAECHAM5 Model
Open accessAbstract
The quasi-biennial oscillation (QBO) in the equatorial zonal wind is an outstanding phenomenon of the atmosphere. The QBO is driven by a broad spectrum of waves excited in the tropical troposphere and modulates transport and mixing of chemical compounds in the whole middle atmosphere. Therefore, the simulation of the QBO in general circulation models and chemistry climate models is an important issue. Here, aspects of the climatology and forcing of a spontaneously occurring QBO in a middle-atmosphere model are evaluated, and its influence on the climate and variability of the tropical middle atmosphere is investigated. Westerly and easterly phases are considered separately, and 40-yr ECMWF Re-Analysis (ERA-40) data are used as a reference where appropriate. It is found that the simulated QBO is realistic in many details. Resolved large-scale waves are particularly important for the westerly phase, while parameterized gravity wave drag is more important for the easterly phase. Advective zonal wind tendencies are important for asymmetries between westerly and easterly phases, as found for the suppression of the easterly phase downward propagation. The simulation of the QBO improves the tropical upwelling and the atmospheric tape recorder compared to a model without a QBO. The semiannual oscillation is simulated realistically only if the QBO is represented. In sensitivity tests, it is found that the simulated QBO is strongly sensitive to changes in the gravity wave sources. The sensitivity to the tested range of horizontal resolutions is small. The stratospheric vertical resolution must be better than 1 km to simulate a realistic QBO.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Atmospheric component of the MPI‐M Earth System Model: ECHAM6
Stevens, B., Giorgetta, M., Esch, M., Mauritsen, T., Crueger, T., Rast, S., Salzmann, M., Schmidt, H., Bader, J., Block, K., et al. (2013) · Journal of Advances in Modeling Earth Systems · doi:10.1002/jame.20015 · Cited by 1,379
Self-citationTechnical Note: The CCCma third generation AGCM and its extension into the middle atmosphere
Scinocca, J. F., McFarlane, N. A., Lazare, M., Li, J., & Plummer, D. (2008) · Atmospheric Chemistry and Physics · doi:10.5194/acp-8-7055-2008 · Cited by 459
Manzini, E., Giorgetta, M. A., Esch, M., Kornblueh, L., & Roeckner, E. (2006) · Journal of Climate · doi:10.1175/jcli3826.1 · Cited by 386
Self-citationHigh‐latitude influence of the quasi‐biennial oscillation
Anstey, J. A., & Shepherd, T. G. (2014) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.2132 · Cited by 278
Kravitz, B., MacMartin, D. G., Mills, M. J., Richter, J. H., Tilmes, S., Lamarque, J., Tribbia, J. J., & Vitt, F. (2017) · Journal of Geophysical Research: Atmospheres · doi:10.1002/2017jd026874 · Cited by 275
Schmidt, H., Brasseur, G. P., Charron, M., Manzini, E., Giorgetta, M. A., Diehl, T., Fomichev, V. I., Kinnison, D., Marsh, D., & Walters, S. (2006) · Journal of Climate · doi:10.1175/jcli3829.1 · Cited by 275
Self-citationWhat is the limit of climate engineering by stratospheric injection of SO 2 ?
Niemeier, U., & Timmreck, C. (2015) · Atmospheric Chemistry and Physics · doi:10.5194/acp-15-9129-2015 · Cited by 156
Severe ozone air pollution in the Persian Gulf region
Lelieveld, J., Hoor, P., Jöckel, P., Pozzer, A., Hadjinicolaou, P., Cammas, J.-P., & Beirle, S. (2009) · Atmospheric Chemistry and Physics · doi:10.5194/acp-9-1393-2009 · Cited by 141
The dependency of geoengineered sulfate aerosol on the emission strategy
Niemeier, U., Schmidt, H., & Timmreck, C. (2011) · Atmospheric Science Letters · doi:10.1002/asl.304 · Cited by 118
Changing transport processes in the stratosphere by radiative heating of sulfate aerosols
Niemeier, U., & Schmidt, H. (2017) · Atmospheric Chemistry and Physics · doi:10.5194/acp-17-14871-2017 · Cited by 102
Feinberg, A., Sukhodolov, T., Luo, B.-P., Rozanov, E., Winkel, L. H. E., Peter, T., & Stenke, A. (2019) · Geoscientific Model Development · doi:10.5194/gmd-12-3863-2019 · Cited by 84
Laakso, A., Kokkola, H., Partanen, A.-I., Niemeier, U., Timmreck, C., Lehtinen, K. E. J., Hakkarainen, H., & Korhonen, H. (2016) · Atmospheric chemistry and physics · doi:10.5194/acp-16-305-2016 · Cited by 51
“…we study the effects of a volcanic eruption during SRM by using two Max Planck Institute models – i.e. the general circulation model (GCM) MAECHAM5 (Giorgetta et al., 2006) coupled to an aerosol microphysical module HAM-SALSA (Bergman et al., 2012; Kokkola et al., 2008), and the Max Planck…”
MethodFranke, H., Niemeier, U., & Visioni, D. (2021) · Atmospheric Chemistry and Physics · doi:10.5194/acp-21-8615-2021 · Cited by 38
Metadata
- Authors
- Giorgetta, M. A., Manzini, E., Roeckner, E., Esch, M., & Bengtsson, L.
- Venue
- Journal of Climate
- Publisher
- American Meteorological Society
- Published
- 2006-08-15
- Volume
- 19
- Issue
- 16
- Pages
- 3882-3901
- ISSN
- 0894-8755 (ISSN-L)
- 1520-0442
- OpenAlex
- W2064333355
- Cited by
- 251
- References
- 0
- FWCI
- 9.59
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.