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

ISSN:
1432-0894
Source:
Springer Online Journal Archives 1860-2000
Topics:
Geosciences
Physics
Notes:
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.
Type of Medium:
Electronic Resource
URL:
_version_ 1798295538563547136
autor Slingo, J. M.
Sperber, K. R.
Boyle, J. S.
Ceron, J.-P.
Dix, M.
Dugas, B.
Ebisuzaki, W.
Fyfe, J.
Gregory, D.
Gueremy, J.-F.
Hack, J.
Harzallah, A.
Inness, P.
Kitoh, A.
Lau, W. K.-M.
McAvaney, B.
Madden, R.
Matthews, A.
Palmer, T. N.
Parkas, C.-K.
Randall, D.
Renno, N.
autorsonst Slingo, J. M.
Sperber, K. R.
Boyle, J. S.
Ceron, J.-P.
Dix, M.
Dugas, B.
Ebisuzaki, W.
Fyfe, J.
Gregory, D.
Gueremy, J.-F.
Hack, J.
Harzallah, A.
Inness, P.
Kitoh, A.
Lau, W. K.-M.
McAvaney, B.
Madden, R.
Matthews, A.
Palmer, T. N.
Parkas, C.-K.
Randall, D.
Renno, N.
book_url http://dx.doi.org/10.1007/BF00231106
datenlieferant nat_lic_papers
hauptsatz hsatz_simple
identnr NLM203500008
issn 1432-0894
journal_name Climate dynamics
materialart 1
notes 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.
package_name Springer
publikationsjahr_anzeige 1996
publikationsjahr_facette 1996
publikationsjahr_intervall 8004:1995-1999
publikationsjahr_sort 1996
publisher Springer
reference 12 (1996), S. 325-357
search_space articles
shingle_author_1 Slingo, J. M.
Sperber, K. R.
Boyle, J. S.
Ceron, J.-P.
Dix, M.
Dugas, B.
Ebisuzaki, W.
Fyfe, J.
Gregory, D.
Gueremy, J.-F.
Hack, J.
Harzallah, A.
Inness, P.
Kitoh, A.
Lau, W. K.-M.
McAvaney, B.
Madden, R.
Matthews, A.
Palmer, T. N.
Parkas, C.-K.
Randall, D.
Renno, N.
shingle_author_2 Slingo, J. M.
Sperber, K. R.
Boyle, J. S.
Ceron, J.-P.
Dix, M.
Dugas, B.
Ebisuzaki, W.
Fyfe, J.
Gregory, D.
Gueremy, J.-F.
Hack, J.
Harzallah, A.
Inness, P.
Kitoh, A.
Lau, W. K.-M.
McAvaney, B.
Madden, R.
Matthews, A.
Palmer, T. N.
Parkas, C.-K.
Randall, D.
Renno, N.
shingle_author_3 Slingo, J. M.
Sperber, K. R.
Boyle, J. S.
Ceron, J.-P.
Dix, M.
Dugas, B.
Ebisuzaki, W.
Fyfe, J.
Gregory, D.
Gueremy, J.-F.
Hack, J.
Harzallah, A.
Inness, P.
Kitoh, A.
Lau, W. K.-M.
McAvaney, B.
Madden, R.
Matthews, A.
Palmer, T. N.
Parkas, C.-K.
Randall, D.
Renno, N.
shingle_author_4 Slingo, J. M.
Sperber, K. R.
Boyle, J. S.
Ceron, J.-P.
Dix, M.
Dugas, B.
Ebisuzaki, W.
Fyfe, J.
Gregory, D.
Gueremy, J.-F.
Hack, J.
Harzallah, A.
Inness, P.
Kitoh, A.
Lau, W. K.-M.
McAvaney, B.
Madden, R.
Matthews, A.
Palmer, T. N.
Parkas, C.-K.
Randall, D.
Renno, N.
shingle_catch_all_1 Slingo, J. M.
Sperber, K. R.
Boyle, J. S.
Ceron, J.-P.
Dix, M.
Dugas, B.
Ebisuzaki, W.
Fyfe, J.
Gregory, D.
Gueremy, J.-F.
Hack, J.
Harzallah, A.
Inness, P.
Kitoh, A.
Lau, W. K.-M.
McAvaney, B.
Madden, R.
Matthews, A.
Palmer, T. N.
Parkas, C.-K.
Randall, D.
Renno, N.
Intraseasonal oscillations in 15 atmospheric general circulation models: results from an AMIP diagnostic subproject
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.
1432-0894
14320894
Springer
shingle_catch_all_2 Slingo, J. M.
Sperber, K. R.
Boyle, J. S.
Ceron, J.-P.
Dix, M.
Dugas, B.
Ebisuzaki, W.
Fyfe, J.
Gregory, D.
Gueremy, J.-F.
Hack, J.
Harzallah, A.
Inness, P.
Kitoh, A.
Lau, W. K.-M.
McAvaney, B.
Madden, R.
Matthews, A.
Palmer, T. N.
Parkas, C.-K.
Randall, D.
Renno, N.
Intraseasonal oscillations in 15 atmospheric general circulation models: results from an AMIP diagnostic subproject
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.
1432-0894
14320894
Springer
shingle_catch_all_3 Slingo, J. M.
Sperber, K. R.
Boyle, J. S.
Ceron, J.-P.
Dix, M.
Dugas, B.
Ebisuzaki, W.
Fyfe, J.
Gregory, D.
Gueremy, J.-F.
Hack, J.
Harzallah, A.
Inness, P.
Kitoh, A.
Lau, W. K.-M.
McAvaney, B.
Madden, R.
Matthews, A.
Palmer, T. N.
Parkas, C.-K.
Randall, D.
Renno, N.
Intraseasonal oscillations in 15 atmospheric general circulation models: results from an AMIP diagnostic subproject
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.
1432-0894
14320894
Springer
shingle_catch_all_4 Slingo, J. M.
Sperber, K. R.
Boyle, J. S.
Ceron, J.-P.
Dix, M.
Dugas, B.
Ebisuzaki, W.
Fyfe, J.
Gregory, D.
Gueremy, J.-F.
Hack, J.
Harzallah, A.
Inness, P.
Kitoh, A.
Lau, W. K.-M.
McAvaney, B.
Madden, R.
Matthews, A.
Palmer, T. N.
Parkas, C.-K.
Randall, D.
Renno, N.
Intraseasonal oscillations in 15 atmospheric general circulation models: results from an AMIP diagnostic subproject
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.
1432-0894
14320894
Springer
shingle_title_1 Intraseasonal oscillations in 15 atmospheric general circulation models: results from an AMIP diagnostic subproject
shingle_title_2 Intraseasonal oscillations in 15 atmospheric general circulation models: results from an AMIP diagnostic subproject
shingle_title_3 Intraseasonal oscillations in 15 atmospheric general circulation models: results from an AMIP diagnostic subproject
shingle_title_4 Intraseasonal oscillations in 15 atmospheric general circulation models: results from an AMIP diagnostic subproject
sigel_instance_filter dkfz
geomar
wilbert
ipn
albert
fhp
source_archive Springer Online Journal Archives 1860-2000
timestamp 2024-05-06T09:37:48.194Z
titel Intraseasonal oscillations in 15 atmospheric general circulation models: results from an AMIP diagnostic subproject
titel_suche Intraseasonal oscillations in 15 atmospheric general circulation models: results from an AMIP diagnostic subproject
topic TE-TZ
U
uid nat_lic_papers_NLM203500008