1996
DOI: 10.1007/s003820050112
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Intraseasonal oscillations in 15 atmospheric general circulation models: results from an AMIP diagnostic subproject

Abstract: The ability of 15 atmospheric GCM models (AGCM) to simulate the tropical intraseasonal oscillation has been studied as part of AMIP. Time series of the daily upper tropospheric velocity potential 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 propagating waves. The results have been compared with an identical assessment of … Show more

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Cited by 203 publications
(268 citation statements)
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“…Over the Indian basins, the intraseasonal variability such as the Madden-Julian Oscillation (MJO) may play a strong role in the modulation of tropical storm activity, and GCMs are generally not very skilful in predicting the MJO (Slingo et al 1996). The multi-model has a particularly high skill over the western North Pacific and the South Pacific for the period 1987-2001.…”
Section: Resultsmentioning
confidence: 99%
“…Over the Indian basins, the intraseasonal variability such as the Madden-Julian Oscillation (MJO) may play a strong role in the modulation of tropical storm activity, and GCMs are generally not very skilful in predicting the MJO (Slingo et al 1996). The multi-model has a particularly high skill over the western North Pacific and the South Pacific for the period 1987-2001.…”
Section: Resultsmentioning
confidence: 99%
“…So more realistic SST simulations (variability as well as mean state) in coupled climate models could enhance blocking development and maintenance. AEA98 noted that nine of their AGCMs, also analysed by Slingo et al (1996), with low tropical variability were not able to simulate blocking well.…”
Section: Discussionmentioning
confidence: 99%
“…The principal aim of this section is to give a sense of how the NICAM AMIP-type simulation is at work. Although the underlying mechanisms are not clearly understood, it was shown by modeling studies that there is a systematic manner in which ISO biases and mean state biases are related (Slingo et al 1996;Kim et al 2011). A more detailed discussion on the mean state is found in Kodama et al (2015).…”
Section: Overview Of Mean State and Intraseasonal Variabilitymentioning
confidence: 99%