Forcing of the quasi‐biennial oscillation from a broad spectrum of atmospheric waves
By Marco A. Giorgetta, E. Manzini, E. Roeckner. 2002
222 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/5a28b1ac4bf9349e7d92985391cbbb6c33cae094
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In Atmospheric Science
- Adam A. Scaife
- R. Garcia
- Stephen D. Eckermann
- M. Ern
- F. Sassi
- P. Preusse
- Johann Jungclaus
- M. Alexander
In Global and Planetary Change
Citations in the corpus
- The predictability of the extratropical stratosphere on monthly time‐scales and its impact on the skill of tropospheric forecasts (2015, background): “However, a few general-circulation models have been shown to be able to simulate the evolution of the QBO (Takahashi, 1996; Scaife et al., 2000; Giorgetta et al., 2002; Kim et al., 2013).”
- Using Satellite Observations to Constrain Parameterizations of Gravity Wave Effects for Global Models (2006, background): “Gravity waves are now known to also influence the stratospheric circulation in the spring and summer seasons (Alexander and Rosenlof 1996; Scaife et al. 2002) and in the tropical lower stratosphere (Dunkerton 1997; Giorgetta et al. 2002 ).”
- Reconstructing, Monitoring, and Predicting Multidecadal-Scale Changes in the North Atlantic Thermohaline Circulation with Sea Surface Temperature (2004, methodology): “A high vertical resolution version of ECHAM5 has been used by Giorgetta et al. (2002) to study the dynamics of the stratospheric quasi-biennial oscillation (QBO).”
- Improved Middle Atmosphere Climate and Forecasts in the ECMWF Model through a Nonorographic Gravity Wave Drag Parameterization (2010, background): “The primary source of the resolved waves is parameterized deep convection in the tropics (e.g., Giorgetta et al. 2002).”
- Recent developments in gravity‐wave effects in climate models and the global distribution of gravity‐wave momentum flux from observations and models (2010, background): “…general circulation models (AGCMs) are effective tools with which to study the role of atmospheric waves in driving the QBO (Takahashi 1996, 1999; Horinouchi and Yoden 1998; Hamilton et al., 1999, 2001; Giorgetta et al., 2002, 2006; Shibata and Deushi 2005; Kawatani et al., 2005, 2010a, 2010b).”
- Global estimates of gravity wave momentum flux from High Resolution Dynamics Limb Sounder observations (2008, methodology): “In the ECHAM4 model experiments of Manzini and McFarlane [1998] and Giorgetta et al. [2002] , which gave realistic middle atmosphere circulations, the parameterized gravity wave momentum flux at the tropopause was also a local minimum at the equator.”
- Implementation of a gravity wave source spectrum parameterization dependent on the properties of convection in the Whole Atmosphere Community Climate Model (WACCM) (2005, methodology): “Giorgetta et al. [2002] have shown that a resolution of � 1 km or less is required for a GCM to be able to model a QBO, whereas the WACCM2 resolution in this region is closer to 1.5 km. [47] In summary, we have successfully implemented a more physically based source spectrum parameterization of con”
- Improved 11‐year solar signal in the Freie Universität Berlin Climate Middle Atmosphere Model (FUB‐CMAM) (2004, methodology): “The generation of a realistic model-QBO would need sufficient spatial resolution, a gravity wave parameterization and a realistic simulation of tropical convection [e.g., Giorgetta et al., 2002 ].”
- Impact of the QBO on surface winter climate (2009, background): “While a few atmosphere general circulation models (AGCM) are able to reproduce the evolution of the QBO [e.g., Takahashi, 1996; Scaife et al., 2000; Giorgetta et al., 2002 ], many simulate a tropical stratosphere with mean easterly winds instead of QBO-like oscillations [Boer and Hamilton, 2008].”
- The Roles of Equatorial Trapped Waves and Internal Inertia–Gravity Waves in Driving the Quasi-Biennial Oscillation. Part I: Zonal Mean Wave Forcing (2010, background): “Atmospheric general circulation models (AGCMs) are effective tools with which to study the roles of atmospheric waves in driving the QBO (Takahashi 1996, 1999; Horinouchi and Yoden 1998; Giorgetta et al. 2002, 2006; Hamilton et al. 1999, 2001; Shibata and Deushi 2005a,b; Kawatani et al. 2005).”
- Predictability of the quasi‐biennial oscillation and its northern winter teleconnection on seasonal to decadal timescales (2014, methodology): “However, a few climate models, including the models used here, now successfully simulate the QBO through the combined forcing from resolved waves and the parameterization of nonorographic gravity wave momentum fluxes [Scaife et al., 2000; Giorgetta et al., 2002; Scinocca et al., 2008].”