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Intraseasonal oscillations in 15 atmospheric general circulation models: results from an AMIP diagnostic subproject

Identifieur interne : 00D244 ( Main/Exploration ); précédent : 00D243; suivant : 00D245

Intraseasonal oscillations in 15 atmospheric general circulation models: results from an AMIP diagnostic subproject

Auteurs : J. M. Slingo [Royaume-Uni] ; K. R. Sperber [États-Unis] ; J. S. Boyle [États-Unis] ; J.-P. Ceron [France] ; M. Dix [Australie] ; B. Dugas [Canada] ; W. Ebisuzaki [États-Unis] ; J. Fyfe [Canada] ; D. Gregory [Royaume-Uni] ; J.-F. Gueremy [France] ; J. Hack [États-Unis] ; A. Harzallah [France] ; P. Inness [Royaume-Uni] ; A. Kitoh [Japon] ; W. K.-M. Lau [États-Unis] ; B. Mcavaney [Australie] ; R. Madden [États-Unis] ; A. Matthews [Royaume-Uni] ; T. N. Palmer [Royaume-Uni] ; C.-K. Parkas [États-Unis] ; D. Randall [États-Unis] ; N. Renno [États-Unis]

Source :

RBID : ISTEX:29DA5F9537BB58D93757BE86720B4E0A43F36919

Descripteurs français

English descriptors

Abstract

Abstract: The ability of 15 atmospheric general circulation models (AGCM) to simulate the tropical intraseasonal oscillation has been studied as part of the Atmospheric Model Intercomparison Project (AMIP). Time series of the daily upper tropospheric velocity poential and zonal wind, averaged over the equatorial belt, were provided from each AGCM simulation. These data were analyzed using a variety of techniques such as time filtering and space-time spectral analysis to identify eastward and westward moving waves. The results have been compared with an identical assessment of the European Centre for Medium-range Weather Forecasts (ECMWF) analyses for the period 1982–1991. The models display a wide range of skill in simulating the intraseasonal oscillation. Most models show evidence of an eastward propagating anomaly in the velocity potential field, although in some models there is a greater tendency for a standing oscillation, and in one or two the field is rather chaotic with no preferred direction of propagation. Where a model has a clear eastward propagating signal, typical periodicities seem quite reasonable although there is a tendency for the models to simulate shorter periods than in the ECMWF analyses, where it is near 50 days. The results of the space-time spectral analysis have shown that no model has captured the dominance of the intraseasonal oscillation found in the analyses. Several models have peaks at intraseasonal time scales, but nearly all have relatively more power at higher frequencies (< 30 days) than the analyses. Most models underestimate the strength of the intraseasonal variability. The observed intraseasonal oscillation shows a marked seasonality in its occurrence with greatest activity during northern winter and spring. Most models failed to capture this seasonality. The interannual variability in the activity of the intraseasonal oscillation has also been assessed, although the AMIP decade is too short to provide any conclusive results. There is a suggestion that the observed oscillation was suppressed during the strong El Niño of 1982/83, and this relationship has also been reproduced by some models. The relationship between a model's intraseasonal activity, its seasonal cycle and characteristics of its basic climate has been examined. It is clear that those models with weak intraseasonal activity tend also to have a weak seasonal cycle. It is becoming increasingly evident that an accurate description of the basic climate may be a prerequisite for producing a realistic intraseasonal oscillation. In particular, models with the most realistic intraseasonal oscillations appear to have precipitation distributions which are better correlated with warm sea surface temperatures. These models predominantly employ convective parameterizations which are closed on buoyancy rather than moisture convergence.

Url:
DOI: 10.1007/BF00231106


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Le document en format XML

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<term>Horizontal resolution</term>
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<term>Interannual</term>
<term>Interannual variability</term>
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<term>Propagating</term>
<term>Propagating signal</term>
<term>Reasonable simulation</term>
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<term>Rossby wave</term>
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<term>Rotational flow</term>
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<term>Time scales</term>
<term>Time series</term>
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<term>Variance</term>
<term>Weickmann</term>
<term>Western hemisphere</term>
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<term>Zonal</term>
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<term>Amip decade</term>
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<term>Diabatic</term>
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<term>Ecmwf analyses</term>
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<term>Equatorial</term>
<term>Equatorial belt</term>
<term>Extratropics</term>
<term>Gcms</term>
<term>Hayashi</term>
<term>Hendon</term>
<term>Higher frequencies</term>
<term>Horizontal resolution</term>
<term>Indian ocean</term>
<term>Interannual</term>
<term>Interannual variability</term>
<term>Intercomparison</term>
<term>Intraseasonal</term>
<term>Intraseasonal activity</term>
<term>Intraseasonal oscillation</term>
<term>Intraseasonal oscillations</term>
<term>Intraseasonal time scales</term>
<term>Intraseasonal variability</term>
<term>Kelvin</term>
<term>Kelvin wave</term>
<term>Lower frequencies</term>
<term>Main area</term>
<term>Meridional</term>
<term>Meridional circulation</term>
<term>Meteorol</term>
<term>Model results</term>
<term>Moisture convergence</term>
<term>Ncar</term>
<term>Negative values</term>
<term>Nino</term>
<term>Northern summer</term>
<term>Northern winter</term>
<term>Oscillation</term>
<term>Outgoing longwave radiation</term>
<term>Parameterization</term>
<term>Periodicity</term>
<term>Phase speed</term>
<term>Precipitation</term>
<term>Propagating</term>
<term>Propagating signal</term>
<term>Reasonable simulation</term>
<term>Rossby</term>
<term>Rossby wave</term>
<term>Rossby waves</term>
<term>Rotational</term>
<term>Rotational flow</term>
<term>Salby</term>
<term>Seasonal cycle</term>
<term>Seasonal evolution</term>
<term>Seasonality</term>
<term>Several models</term>
<term>Simulating</term>
<term>Simulation</term>
<term>Slingo</term>
<term>Spectral analysis</term>
<term>Ssts</term>
<term>Streamfunction</term>
<term>Subproject</term>
<term>Substantial modulation</term>
<term>Synoptic</term>
<term>Time scales</term>
<term>Time series</term>
<term>Tropical convection</term>
<term>Tropics</term>
<term>Tropospheric</term>
<term>Twin cyclones</term>
<term>Ugamp</term>
<term>Ukmo</term>
<term>Variability</term>
<term>Variance</term>
<term>Weickmann</term>
<term>Western hemisphere</term>
<term>Wide range</term>
<term>Zonal</term>
<term>Zonal wind</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr">
<term>Climatologie</term>
<term>Simulation</term>
</keywords>
</textClass>
<langUsage>
<language ident="en">en</language>
</langUsage>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">Abstract: The ability of 15 atmospheric general circulation models (AGCM) to simulate the tropical intraseasonal oscillation has been studied as part of the Atmospheric Model Intercomparison Project (AMIP). Time series of the daily upper tropospheric velocity poential and zonal wind, averaged over the equatorial belt, were provided from each AGCM simulation. These data were analyzed using a variety of techniques such as time filtering and space-time spectral analysis to identify eastward and westward moving waves. The results have been compared with an identical assessment of the European Centre for Medium-range Weather Forecasts (ECMWF) analyses for the period 1982–1991. The models display a wide range of skill in simulating the intraseasonal oscillation. Most models show evidence of an eastward propagating anomaly in the velocity potential field, although in some models there is a greater tendency for a standing oscillation, and in one or two the field is rather chaotic with no preferred direction of propagation. Where a model has a clear eastward propagating signal, typical periodicities seem quite reasonable although there is a tendency for the models to simulate shorter periods than in the ECMWF analyses, where it is near 50 days. The results of the space-time spectral analysis have shown that no model has captured the dominance of the intraseasonal oscillation found in the analyses. Several models have peaks at intraseasonal time scales, but nearly all have relatively more power at higher frequencies (< 30 days) than the analyses. Most models underestimate the strength of the intraseasonal variability. The observed intraseasonal oscillation shows a marked seasonality in its occurrence with greatest activity during northern winter and spring. Most models failed to capture this seasonality. The interannual variability in the activity of the intraseasonal oscillation has also been assessed, although the AMIP decade is too short to provide any conclusive results. There is a suggestion that the observed oscillation was suppressed during the strong El Niño of 1982/83, and this relationship has also been reproduced by some models. The relationship between a model's intraseasonal activity, its seasonal cycle and characteristics of its basic climate has been examined. It is clear that those models with weak intraseasonal activity tend also to have a weak seasonal cycle. It is becoming increasingly evident that an accurate description of the basic climate may be a prerequisite for producing a realistic intraseasonal oscillation. In particular, models with the most realistic intraseasonal oscillations appear to have precipitation distributions which are better correlated with warm sea surface temperatures. These models predominantly employ convective parameterizations which are closed on buoyancy rather than moisture convergence.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>Australie</li>
<li>Canada</li>
<li>France</li>
<li>Japon</li>
<li>Royaume-Uni</li>
<li>États-Unis</li>
</country>
<region>
<li>Californie</li>
<li>Colorado</li>
<li>Dakota du Nord</li>
<li>Maryland</li>
<li>Midi-Pyrénées</li>
<li>Occitanie (région administrative)</li>
</region>
<settlement>
<li>Toulouse</li>
</settlement>
</list>
<tree>
<country name="Royaume-Uni">
<noRegion>
<name sortKey="Slingo, J M" sort="Slingo, J M" uniqKey="Slingo J" first="J. M." last="Slingo">J. M. Slingo</name>
</noRegion>
<name sortKey="Gregory, D" sort="Gregory, D" uniqKey="Gregory D" first="D." last="Gregory">D. Gregory</name>
<name sortKey="Inness, P" sort="Inness, P" uniqKey="Inness P" first="P." last="Inness">P. Inness</name>
<name sortKey="Matthews, A" sort="Matthews, A" uniqKey="Matthews A" first="A." last="Matthews">A. Matthews</name>
<name sortKey="Palmer, T N" sort="Palmer, T N" uniqKey="Palmer T" first="T. N." last="Palmer">T. N. Palmer</name>
</country>
<country name="États-Unis">
<region name="Californie">
<name sortKey="Sperber, K R" sort="Sperber, K R" uniqKey="Sperber K" first="K. R." last="Sperber">K. R. Sperber</name>
</region>
<name sortKey="Boyle, J S" sort="Boyle, J S" uniqKey="Boyle J" first="J. S." last="Boyle">J. S. Boyle</name>
<name sortKey="Ebisuzaki, W" sort="Ebisuzaki, W" uniqKey="Ebisuzaki W" first="W." last="Ebisuzaki">W. Ebisuzaki</name>
<name sortKey="Hack, J" sort="Hack, J" uniqKey="Hack J" first="J." last="Hack">J. Hack</name>
<name sortKey="Lau, W K M" sort="Lau, W K M" uniqKey="Lau W" first="W. K.-M." last="Lau">W. K.-M. Lau</name>
<name sortKey="Madden, R" sort="Madden, R" uniqKey="Madden R" first="R." last="Madden">R. Madden</name>
<name sortKey="Parkas, C K" sort="Parkas, C K" uniqKey="Parkas C" first="C.-K." last="Parkas">C.-K. Parkas</name>
<name sortKey="Randall, D" sort="Randall, D" uniqKey="Randall D" first="D." last="Randall">D. Randall</name>
<name sortKey="Renno, N" sort="Renno, N" uniqKey="Renno N" first="N." last="Renno">N. Renno</name>
</country>
<country name="France">
<noRegion>
<name sortKey="Ceron, J P" sort="Ceron, J P" uniqKey="Ceron J" first="J.-P." last="Ceron">J.-P. Ceron</name>
</noRegion>
<name sortKey="Gueremy, J F" sort="Gueremy, J F" uniqKey="Gueremy J" first="J.-F." last="Gueremy">J.-F. Gueremy</name>
<name sortKey="Harzallah, A" sort="Harzallah, A" uniqKey="Harzallah A" first="A." last="Harzallah">A. Harzallah</name>
</country>
<country name="Australie">
<noRegion>
<name sortKey="Dix, M" sort="Dix, M" uniqKey="Dix M" first="M." last="Dix">M. Dix</name>
</noRegion>
<name sortKey="Mcavaney, B" sort="Mcavaney, B" uniqKey="Mcavaney B" first="B." last="Mcavaney">B. Mcavaney</name>
</country>
<country name="Canada">
<noRegion>
<name sortKey="Dugas, B" sort="Dugas, B" uniqKey="Dugas B" first="B." last="Dugas">B. Dugas</name>
</noRegion>
<name sortKey="Fyfe, J" sort="Fyfe, J" uniqKey="Fyfe J" first="J." last="Fyfe">J. Fyfe</name>
</country>
<country name="Japon">
<noRegion>
<name sortKey="Kitoh, A" sort="Kitoh, A" uniqKey="Kitoh A" first="A." last="Kitoh">A. Kitoh</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>

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