Abstract
Quasi-biennial oscillations (QBOs) in thirteen atmospheric general circulation models forced with both observed and annually repeating sea surface temperatures (SSTs) are evaluated. In most models the QBO period is close to, but shorter than, the observed period of 28 months. Amplitudes are within ±20% of the observed QBO amplitude at 10 hPa, but typically about half of that observed at lower altitudes (50 and 70 hPa). For almost all models, the oscillation's amplitude profile shows an overall upward shift compared to reanalysis and its meridional extent is too narrow. Asymmetry in the duration of eastward and westward phases is reasonably well captured, though not all models replicate the observed slowing of the descending westward shear. Westward phases are generally too weak, and most models have an eastward time mean wind bias throughout the depth of the QBO. The intercycle period variability is realistic and in some models is enhanced in the experiment with observed SSTs compared to the experiment with repeated annual cycle SSTs. Mean periods are also sensitive to this difference between SSTs, but only when parametrized non-orographic gravity wave (NOGW) sources are coupled to tropospheric parameters and not prescribed with a fixed value. Overall, however, modelled QBOs are very similar whether or not the prescribed SSTs vary interannually. A portrait of the overall ensemble performance is provided by a normalized grading of QBO metrics. To simulate a QBO, all but one model used parametrized NOGWs, which provided the majority of the total wave forcing at altitudes above 70 hPa in most models. Hence the representation of NOGWs either explicitly or through parametrization is still a major uncertainty underlying QBO simulation in these present-day experiments.
Original language | English |
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Pages (from-to) | 1459-1489 |
Number of pages | 31 |
Journal | Quarterly Journal of the Royal Meteorological Society |
Volume | 148 |
Issue number | 744 |
DOIs | |
Publication status | Published - 2022 Apr 1 |
Bibliographical note
Funding Information:Agence Nationale Recherche, ANR‐15‐JCLI‐0004‐01; Baden‐Wuerttemberg, bwHPC; Biological and Environmental Research, IA1947282; Department for Business, Energy and Industrial Strategy, Department for Environment, Food and Rural Affairs, European Commission, Copernicus Climate Change Service; Japan Agency for Marine‐Earth Science and Technology, Japan Science and Technology Agency, Japan Society for the Promotion of Science, JP15KK0178; JP17K18816; JP18H01286; Ministry of Education, Culture, Sports, Science and Technology, Integrated Research Program for Advancing Climate Models; National Center for Atmospheric Research, Cooperative Agreement No. 1852977; National Centre for Atmospheric Science, Natural Environment Research Council, NE/M005828/1; NE/P006779/1 Funding information
Funding Information:
information Agence Nationale Recherche, ANR-15-JCLI-0004-01; Baden-Wuerttemberg, bwHPC; Biological and Environmental Research, IA1947282; Department for Business, Energy and Industrial Strategy, Department for Environment, Food and Rural Affairs, European Commission, Copernicus Climate Change Service; Japan Agency for Marine-Earth Science and Technology, Japan Science and Technology Agency, Japan Society for the Promotion of Science, JP15KK0178; JP17K18816; JP18H01286; Ministry of Education, Culture, Sports, Science and Technology, Integrated Research Program for Advancing Climate Models; National Center for Atmospheric Research, Cooperative Agreement No. 1852977; National Centre for Atmospheric Science, Natural Environment Research Council, NE/M005828/1; NE/P006779/1We acknowledge the scientific guidance of the World Climate Research Programme (WCRP) for helping motivate this work, coordinated under the framework of the Stratosphere-troposphere Processes and their Role in Climate (SPARC) QBO initiative (QBOi) led by JA, NB, KH and SO. FL, SW, YK, LG and SO acknowledge funding for the Belmont Forum JPI-Climate GOTHAM project from Agence Nationale Recherche (ANR-15-JCLI-0004-01), the Japan Science and Technology (JST) Agency and the Natural Environment Research Council (NE/P006779/1). YK was supported by Japan Society for Promotion of Science (JPSP) KAKENHI grant nos. JP15KK0178, JP17K18816 and JP18H01286. YK and KH were supported by the Japan Agency for Marine-Earth Science and Technology (JAMSTEC) through its sponsorship of research at the International Pacific Research Center. SW and YK were partly supported by the “Integrated Research Program for Advancing Climate Models (TOUGOU program)” from the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan. The Earth Simulator was used for MIROC-ESM and MIROC-AGCM-LL simulations. LG and SO acknowledge support from the UK Natural Environment Research Council (NERC) grant NE/M005828/1 and the National Centre for Atmospheric Science (NCAS). PB, TK, SV acknowledge support by the state of Baden-Württemberg through bwHPC. NB was supported by the Met Office Hadley Centre Programme funded by BEIS and Defra. This material is based upon work supported by the National Center for Atmospheric Research, which is a major facility sponsored by the National Science Foundation under Cooperative Agreement no. 1852977. The CESM project is supported primarily by the National Science Foundation. Portions of this study were supported by the Regional and Global Model Analysis (RGMA) component of the Earth and Environmental System Modeling Program of the U.S. Department of Energy's Office of Biological & Environmental Research (BER) via National Science Foundation IA 1947282. 60LCAM5 and CESM1(WACCM5-110L) simulations were carried out on the Yellowstone high-performance computing platform (CISL, 2012). CC and FS have been supported by the Copernicus Climate Change Service, funded by the EU and implemented by the European Centre for Medium-Range Weather Forecasts (ECMWF). We acknowledge the Centre for Environmental Data Analysis for use of the Jasmin analysis platform and group workspace environment.
Funding Information:
We acknowledge the scientific guidance of the World Climate Research Programme (WCRP) for helping motivate this work, coordinated under the framework of the Stratosphere‐troposphere Processes and their Role in Climate (SPARC) QBO initiative (QBOi) led by JA, NB, KH and SO. FL, SW, YK, LG and SO acknowledge funding for the Belmont Forum JPI‐Climate GOTHAM project from Agence Nationale Recherche (ANR‐15‐JCLI‐0004‐01), the Japan Science and Technology (JST) Agency and the Natural Environment Research Council (NE/P006779/1). YK was supported by Japan Society for Promotion of Science (JPSP) KAKENHI grant nos. JP15KK0178, JP17K18816 and JP18H01286. YK and KH were supported by the Japan Agency for Marine‐Earth Science and Technology (JAMSTEC) through its sponsorship of research at the International Pacific Research Center. SW and YK were partly supported by the “Integrated Research Program for Advancing Climate Models (TOUGOU program)” from the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan. The Earth Simulator was used for MIROC‐ESM and MIROC‐AGCM‐LL simulations. LG and SO acknowledge support from the UK Natural Environment Research Council (NERC) grant NE/M005828/1 and the National Centre for Atmospheric Science (NCAS). PB, TK, SV acknowledge support by the state of Baden‐Württemberg through bwHPC. NB was supported by the Met Office Hadley Centre Programme funded by BEIS and Defra. This material is based upon work supported by the National Center for Atmospheric Research, which is a major facility sponsored by the National Science Foundation under Cooperative Agreement no. 1852977. The CESM project is supported primarily by the National Science Foundation. Portions of this study were supported by the Regional and Global Model Analysis (RGMA) component of the Earth and Environmental System Modeling Program of the U.S. Department of Energy's Office of Biological & Environmental Research (BER) via National Science Foundation IA 1947282. 60LCAM5 and CESM1(WACCM5‐110L) simulations were carried out on the Yellowstone high‐performance computing platform (CISL, ). CC and FS have been supported by the Copernicus Climate Change Service, funded by the EU and implemented by the European Centre for Medium‐Range Weather Forecasts (ECMWF). We acknowledge the Centre for Environmental Data Analysis for use of the Jasmin analysis platform and group workspace environment.
Publisher Copyright:
© 2020 The Authors. Quarterly Journal of the Royal Meteorological Society published by John Wiley & Sons Ltd on behalf of the Royal Meteorological Society.
All Science Journal Classification (ASJC) codes
- Atmospheric Science