Evaluating MJO event initiation and decay in the skeleton model using an RMM‐like index
The Madden‐Julian oscillation (MJO) skeleton model is a low‐order dynamic model that is capable of simulating many of the observed features of the MJO. This study develops a model‐based “MJO” index that is similar to the well‐known real‐time multivariate MJO (RMM) index to better facilitate comparis...
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Gespeichert in:
| Autor*in: |
Stachnik, Justin P [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Rechteinformationen: |
Nutzungsrecht: © 2015. American Geophysical Union. All Rights Reserved. |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Journal of geophysical research / D - Washington, DC : Union, 1984, 120(2015), 22 |
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| Übergeordnetes Werk: |
volume:120 ; year:2015 ; number:22 |
| Links: |
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| DOI / URN: |
10.1002/2015JD023916 |
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| 520 | |a The Madden‐Julian oscillation (MJO) skeleton model is a low‐order dynamic model that is capable of simulating many of the observed features of the MJO. This study develops a model‐based “MJO” index that is similar to the well‐known real‐time multivariate MJO (RMM) index to better facilitate comparison between the skeleton model and observational data. Multivariate and univariate empirical orthogonal function (EOF) analyses were performed on the convective heating and zonal wind data taken from the skeleton model for simulations forced with an idealized warm pool and observed sea surface temperatures (SSTs). The leading EOF modes indicated a wave number 1 convectively coupled circulation anomaly with zonal asymmetries that closely resembled the observed RMM EOFs, especially when the model was forced with observed SSTs. The RMM‐like index was used to compute an MJO climatology and document the occurrence of primary, continuing, and terminating MJO events in the skeleton model. The overall amount of MJO activity and event lengths compared reasonably well to observations for such a simple model. Attempts at reconciling the observed geographic distribution of individual MJO initiation and termination events were not successful for the stochastic simulations, though stochasticity is necessary in order to produce composite MJOs that initiate and decay with time scales similar to observations. Finally, analysis indicates that the existence of slow‐moving, eastward traveling waves with higher wave numbers ( k ≈ 12) embedded within the large‐scale flow often precedes MJO termination in the skeleton model. An RMM‐like index was created for the skeleton model that mimics observations Stochasticity helps improve MJO initiation and termination event statistics The skeleton model produces more realistic MJOs when forced with observed SSTs | ||
| 540 | |a Nutzungsrecht: © 2015. American Geophysical Union. All Rights Reserved. | ||
| 650 | 4 | |a MJO | |
| 650 | 4 | |a stochastic modeling | |
| 650 | 4 | |a tropical meteorology | |
| 650 | 4 | |a intraseasonal variability | |
| 650 | 4 | |a skeleton model | |
| 650 | 4 | |a Meteorology | |
| 700 | 1 | |a Waliser, Duane E |4 oth | |
| 700 | 1 | |a Majda, Andrew J |4 oth | |
| 700 | 1 | |a Stechmann, Samuel N |4 oth | |
| 700 | 1 | |a Thual, Sulian |4 oth | |
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10.1002/2015JD023916 doi PQ20160617 (DE-627)OLC1957059923 (DE-599)GBVOLC1957059923 (PRQ)p723-6ecc34ec115e6d61ef48b4eeeb6008bf97c041d28306fea6da1721897328e12a0 (KEY)0137985220150000120002200000evaluatingmjoeventinitiationanddecayintheskeletonm DE-627 ger DE-627 rakwb eng 550 DNB Stachnik, Justin P verfasserin aut Evaluating MJO event initiation and decay in the skeleton model using an RMM‐like index 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The Madden‐Julian oscillation (MJO) skeleton model is a low‐order dynamic model that is capable of simulating many of the observed features of the MJO. This study develops a model‐based “MJO” index that is similar to the well‐known real‐time multivariate MJO (RMM) index to better facilitate comparison between the skeleton model and observational data. Multivariate and univariate empirical orthogonal function (EOF) analyses were performed on the convective heating and zonal wind data taken from the skeleton model for simulations forced with an idealized warm pool and observed sea surface temperatures (SSTs). The leading EOF modes indicated a wave number 1 convectively coupled circulation anomaly with zonal asymmetries that closely resembled the observed RMM EOFs, especially when the model was forced with observed SSTs. The RMM‐like index was used to compute an MJO climatology and document the occurrence of primary, continuing, and terminating MJO events in the skeleton model. The overall amount of MJO activity and event lengths compared reasonably well to observations for such a simple model. Attempts at reconciling the observed geographic distribution of individual MJO initiation and termination events were not successful for the stochastic simulations, though stochasticity is necessary in order to produce composite MJOs that initiate and decay with time scales similar to observations. Finally, analysis indicates that the existence of slow‐moving, eastward traveling waves with higher wave numbers ( k ≈ 12) embedded within the large‐scale flow often precedes MJO termination in the skeleton model. An RMM‐like index was created for the skeleton model that mimics observations Stochasticity helps improve MJO initiation and termination event statistics The skeleton model produces more realistic MJOs when forced with observed SSTs Nutzungsrecht: © 2015. American Geophysical Union. All Rights Reserved. MJO stochastic modeling tropical meteorology intraseasonal variability skeleton model Meteorology Waliser, Duane E oth Majda, Andrew J oth Stechmann, Samuel N oth Thual, Sulian oth Enthalten in Journal of geophysical research / D Washington, DC : Union, 1984 120(2015), 22 (DE-627)130444391 (DE-600)710256-2 (DE-576)015978818 2169-897X nnns volume:120 year:2015 number:22 http://dx.doi.org/10.1002/2015JD023916 Volltext http://onlinelibrary.wiley.com/doi/10.1002/2015JD023916/abstract http://search.proquest.com/docview/1757524400 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_62 GBV_ILN_154 AR 120 2015 22 |
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10.1002/2015JD023916 doi PQ20160617 (DE-627)OLC1957059923 (DE-599)GBVOLC1957059923 (PRQ)p723-6ecc34ec115e6d61ef48b4eeeb6008bf97c041d28306fea6da1721897328e12a0 (KEY)0137985220150000120002200000evaluatingmjoeventinitiationanddecayintheskeletonm DE-627 ger DE-627 rakwb eng 550 DNB Stachnik, Justin P verfasserin aut Evaluating MJO event initiation and decay in the skeleton model using an RMM‐like index 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The Madden‐Julian oscillation (MJO) skeleton model is a low‐order dynamic model that is capable of simulating many of the observed features of the MJO. This study develops a model‐based “MJO” index that is similar to the well‐known real‐time multivariate MJO (RMM) index to better facilitate comparison between the skeleton model and observational data. Multivariate and univariate empirical orthogonal function (EOF) analyses were performed on the convective heating and zonal wind data taken from the skeleton model for simulations forced with an idealized warm pool and observed sea surface temperatures (SSTs). The leading EOF modes indicated a wave number 1 convectively coupled circulation anomaly with zonal asymmetries that closely resembled the observed RMM EOFs, especially when the model was forced with observed SSTs. The RMM‐like index was used to compute an MJO climatology and document the occurrence of primary, continuing, and terminating MJO events in the skeleton model. The overall amount of MJO activity and event lengths compared reasonably well to observations for such a simple model. Attempts at reconciling the observed geographic distribution of individual MJO initiation and termination events were not successful for the stochastic simulations, though stochasticity is necessary in order to produce composite MJOs that initiate and decay with time scales similar to observations. Finally, analysis indicates that the existence of slow‐moving, eastward traveling waves with higher wave numbers ( k ≈ 12) embedded within the large‐scale flow often precedes MJO termination in the skeleton model. An RMM‐like index was created for the skeleton model that mimics observations Stochasticity helps improve MJO initiation and termination event statistics The skeleton model produces more realistic MJOs when forced with observed SSTs Nutzungsrecht: © 2015. American Geophysical Union. All Rights Reserved. MJO stochastic modeling tropical meteorology intraseasonal variability skeleton model Meteorology Waliser, Duane E oth Majda, Andrew J oth Stechmann, Samuel N oth Thual, Sulian oth Enthalten in Journal of geophysical research / D Washington, DC : Union, 1984 120(2015), 22 (DE-627)130444391 (DE-600)710256-2 (DE-576)015978818 2169-897X nnns volume:120 year:2015 number:22 http://dx.doi.org/10.1002/2015JD023916 Volltext http://onlinelibrary.wiley.com/doi/10.1002/2015JD023916/abstract http://search.proquest.com/docview/1757524400 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_62 GBV_ILN_154 AR 120 2015 22 |
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10.1002/2015JD023916 doi PQ20160617 (DE-627)OLC1957059923 (DE-599)GBVOLC1957059923 (PRQ)p723-6ecc34ec115e6d61ef48b4eeeb6008bf97c041d28306fea6da1721897328e12a0 (KEY)0137985220150000120002200000evaluatingmjoeventinitiationanddecayintheskeletonm DE-627 ger DE-627 rakwb eng 550 DNB Stachnik, Justin P verfasserin aut Evaluating MJO event initiation and decay in the skeleton model using an RMM‐like index 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The Madden‐Julian oscillation (MJO) skeleton model is a low‐order dynamic model that is capable of simulating many of the observed features of the MJO. This study develops a model‐based “MJO” index that is similar to the well‐known real‐time multivariate MJO (RMM) index to better facilitate comparison between the skeleton model and observational data. Multivariate and univariate empirical orthogonal function (EOF) analyses were performed on the convective heating and zonal wind data taken from the skeleton model for simulations forced with an idealized warm pool and observed sea surface temperatures (SSTs). The leading EOF modes indicated a wave number 1 convectively coupled circulation anomaly with zonal asymmetries that closely resembled the observed RMM EOFs, especially when the model was forced with observed SSTs. The RMM‐like index was used to compute an MJO climatology and document the occurrence of primary, continuing, and terminating MJO events in the skeleton model. The overall amount of MJO activity and event lengths compared reasonably well to observations for such a simple model. Attempts at reconciling the observed geographic distribution of individual MJO initiation and termination events were not successful for the stochastic simulations, though stochasticity is necessary in order to produce composite MJOs that initiate and decay with time scales similar to observations. Finally, analysis indicates that the existence of slow‐moving, eastward traveling waves with higher wave numbers ( k ≈ 12) embedded within the large‐scale flow often precedes MJO termination in the skeleton model. An RMM‐like index was created for the skeleton model that mimics observations Stochasticity helps improve MJO initiation and termination event statistics The skeleton model produces more realistic MJOs when forced with observed SSTs Nutzungsrecht: © 2015. American Geophysical Union. All Rights Reserved. MJO stochastic modeling tropical meteorology intraseasonal variability skeleton model Meteorology Waliser, Duane E oth Majda, Andrew J oth Stechmann, Samuel N oth Thual, Sulian oth Enthalten in Journal of geophysical research / D Washington, DC : Union, 1984 120(2015), 22 (DE-627)130444391 (DE-600)710256-2 (DE-576)015978818 2169-897X nnns volume:120 year:2015 number:22 http://dx.doi.org/10.1002/2015JD023916 Volltext http://onlinelibrary.wiley.com/doi/10.1002/2015JD023916/abstract http://search.proquest.com/docview/1757524400 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_62 GBV_ILN_154 AR 120 2015 22 |
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10.1002/2015JD023916 doi PQ20160617 (DE-627)OLC1957059923 (DE-599)GBVOLC1957059923 (PRQ)p723-6ecc34ec115e6d61ef48b4eeeb6008bf97c041d28306fea6da1721897328e12a0 (KEY)0137985220150000120002200000evaluatingmjoeventinitiationanddecayintheskeletonm DE-627 ger DE-627 rakwb eng 550 DNB Stachnik, Justin P verfasserin aut Evaluating MJO event initiation and decay in the skeleton model using an RMM‐like index 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The Madden‐Julian oscillation (MJO) skeleton model is a low‐order dynamic model that is capable of simulating many of the observed features of the MJO. This study develops a model‐based “MJO” index that is similar to the well‐known real‐time multivariate MJO (RMM) index to better facilitate comparison between the skeleton model and observational data. Multivariate and univariate empirical orthogonal function (EOF) analyses were performed on the convective heating and zonal wind data taken from the skeleton model for simulations forced with an idealized warm pool and observed sea surface temperatures (SSTs). The leading EOF modes indicated a wave number 1 convectively coupled circulation anomaly with zonal asymmetries that closely resembled the observed RMM EOFs, especially when the model was forced with observed SSTs. The RMM‐like index was used to compute an MJO climatology and document the occurrence of primary, continuing, and terminating MJO events in the skeleton model. The overall amount of MJO activity and event lengths compared reasonably well to observations for such a simple model. Attempts at reconciling the observed geographic distribution of individual MJO initiation and termination events were not successful for the stochastic simulations, though stochasticity is necessary in order to produce composite MJOs that initiate and decay with time scales similar to observations. Finally, analysis indicates that the existence of slow‐moving, eastward traveling waves with higher wave numbers ( k ≈ 12) embedded within the large‐scale flow often precedes MJO termination in the skeleton model. An RMM‐like index was created for the skeleton model that mimics observations Stochasticity helps improve MJO initiation and termination event statistics The skeleton model produces more realistic MJOs when forced with observed SSTs Nutzungsrecht: © 2015. American Geophysical Union. All Rights Reserved. MJO stochastic modeling tropical meteorology intraseasonal variability skeleton model Meteorology Waliser, Duane E oth Majda, Andrew J oth Stechmann, Samuel N oth Thual, Sulian oth Enthalten in Journal of geophysical research / D Washington, DC : Union, 1984 120(2015), 22 (DE-627)130444391 (DE-600)710256-2 (DE-576)015978818 2169-897X nnns volume:120 year:2015 number:22 http://dx.doi.org/10.1002/2015JD023916 Volltext http://onlinelibrary.wiley.com/doi/10.1002/2015JD023916/abstract http://search.proquest.com/docview/1757524400 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_62 GBV_ILN_154 AR 120 2015 22 |
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10.1002/2015JD023916 doi PQ20160617 (DE-627)OLC1957059923 (DE-599)GBVOLC1957059923 (PRQ)p723-6ecc34ec115e6d61ef48b4eeeb6008bf97c041d28306fea6da1721897328e12a0 (KEY)0137985220150000120002200000evaluatingmjoeventinitiationanddecayintheskeletonm DE-627 ger DE-627 rakwb eng 550 DNB Stachnik, Justin P verfasserin aut Evaluating MJO event initiation and decay in the skeleton model using an RMM‐like index 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The Madden‐Julian oscillation (MJO) skeleton model is a low‐order dynamic model that is capable of simulating many of the observed features of the MJO. This study develops a model‐based “MJO” index that is similar to the well‐known real‐time multivariate MJO (RMM) index to better facilitate comparison between the skeleton model and observational data. Multivariate and univariate empirical orthogonal function (EOF) analyses were performed on the convective heating and zonal wind data taken from the skeleton model for simulations forced with an idealized warm pool and observed sea surface temperatures (SSTs). The leading EOF modes indicated a wave number 1 convectively coupled circulation anomaly with zonal asymmetries that closely resembled the observed RMM EOFs, especially when the model was forced with observed SSTs. The RMM‐like index was used to compute an MJO climatology and document the occurrence of primary, continuing, and terminating MJO events in the skeleton model. The overall amount of MJO activity and event lengths compared reasonably well to observations for such a simple model. Attempts at reconciling the observed geographic distribution of individual MJO initiation and termination events were not successful for the stochastic simulations, though stochasticity is necessary in order to produce composite MJOs that initiate and decay with time scales similar to observations. Finally, analysis indicates that the existence of slow‐moving, eastward traveling waves with higher wave numbers ( k ≈ 12) embedded within the large‐scale flow often precedes MJO termination in the skeleton model. An RMM‐like index was created for the skeleton model that mimics observations Stochasticity helps improve MJO initiation and termination event statistics The skeleton model produces more realistic MJOs when forced with observed SSTs Nutzungsrecht: © 2015. American Geophysical Union. All Rights Reserved. MJO stochastic modeling tropical meteorology intraseasonal variability skeleton model Meteorology Waliser, Duane E oth Majda, Andrew J oth Stechmann, Samuel N oth Thual, Sulian oth Enthalten in Journal of geophysical research / D Washington, DC : Union, 1984 120(2015), 22 (DE-627)130444391 (DE-600)710256-2 (DE-576)015978818 2169-897X nnns volume:120 year:2015 number:22 http://dx.doi.org/10.1002/2015JD023916 Volltext http://onlinelibrary.wiley.com/doi/10.1002/2015JD023916/abstract http://search.proquest.com/docview/1757524400 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_62 GBV_ILN_154 AR 120 2015 22 |
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Evaluating MJO event initiation and decay in the skeleton model using an RMM‐like index |
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evaluating mjo event initiation and decay in the skeleton model using an rmm‐like index |
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Evaluating MJO event initiation and decay in the skeleton model using an RMM‐like index |
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The Madden‐Julian oscillation (MJO) skeleton model is a low‐order dynamic model that is capable of simulating many of the observed features of the MJO. This study develops a model‐based “MJO” index that is similar to the well‐known real‐time multivariate MJO (RMM) index to better facilitate comparison between the skeleton model and observational data. Multivariate and univariate empirical orthogonal function (EOF) analyses were performed on the convective heating and zonal wind data taken from the skeleton model for simulations forced with an idealized warm pool and observed sea surface temperatures (SSTs). The leading EOF modes indicated a wave number 1 convectively coupled circulation anomaly with zonal asymmetries that closely resembled the observed RMM EOFs, especially when the model was forced with observed SSTs. The RMM‐like index was used to compute an MJO climatology and document the occurrence of primary, continuing, and terminating MJO events in the skeleton model. The overall amount of MJO activity and event lengths compared reasonably well to observations for such a simple model. Attempts at reconciling the observed geographic distribution of individual MJO initiation and termination events were not successful for the stochastic simulations, though stochasticity is necessary in order to produce composite MJOs that initiate and decay with time scales similar to observations. Finally, analysis indicates that the existence of slow‐moving, eastward traveling waves with higher wave numbers ( k ≈ 12) embedded within the large‐scale flow often precedes MJO termination in the skeleton model. An RMM‐like index was created for the skeleton model that mimics observations Stochasticity helps improve MJO initiation and termination event statistics The skeleton model produces more realistic MJOs when forced with observed SSTs |
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The Madden‐Julian oscillation (MJO) skeleton model is a low‐order dynamic model that is capable of simulating many of the observed features of the MJO. This study develops a model‐based “MJO” index that is similar to the well‐known real‐time multivariate MJO (RMM) index to better facilitate comparison between the skeleton model and observational data. Multivariate and univariate empirical orthogonal function (EOF) analyses were performed on the convective heating and zonal wind data taken from the skeleton model for simulations forced with an idealized warm pool and observed sea surface temperatures (SSTs). The leading EOF modes indicated a wave number 1 convectively coupled circulation anomaly with zonal asymmetries that closely resembled the observed RMM EOFs, especially when the model was forced with observed SSTs. The RMM‐like index was used to compute an MJO climatology and document the occurrence of primary, continuing, and terminating MJO events in the skeleton model. The overall amount of MJO activity and event lengths compared reasonably well to observations for such a simple model. Attempts at reconciling the observed geographic distribution of individual MJO initiation and termination events were not successful for the stochastic simulations, though stochasticity is necessary in order to produce composite MJOs that initiate and decay with time scales similar to observations. Finally, analysis indicates that the existence of slow‐moving, eastward traveling waves with higher wave numbers ( k ≈ 12) embedded within the large‐scale flow often precedes MJO termination in the skeleton model. An RMM‐like index was created for the skeleton model that mimics observations Stochasticity helps improve MJO initiation and termination event statistics The skeleton model produces more realistic MJOs when forced with observed SSTs |
| abstract_unstemmed |
The Madden‐Julian oscillation (MJO) skeleton model is a low‐order dynamic model that is capable of simulating many of the observed features of the MJO. This study develops a model‐based “MJO” index that is similar to the well‐known real‐time multivariate MJO (RMM) index to better facilitate comparison between the skeleton model and observational data. Multivariate and univariate empirical orthogonal function (EOF) analyses were performed on the convective heating and zonal wind data taken from the skeleton model for simulations forced with an idealized warm pool and observed sea surface temperatures (SSTs). The leading EOF modes indicated a wave number 1 convectively coupled circulation anomaly with zonal asymmetries that closely resembled the observed RMM EOFs, especially when the model was forced with observed SSTs. The RMM‐like index was used to compute an MJO climatology and document the occurrence of primary, continuing, and terminating MJO events in the skeleton model. The overall amount of MJO activity and event lengths compared reasonably well to observations for such a simple model. Attempts at reconciling the observed geographic distribution of individual MJO initiation and termination events were not successful for the stochastic simulations, though stochasticity is necessary in order to produce composite MJOs that initiate and decay with time scales similar to observations. Finally, analysis indicates that the existence of slow‐moving, eastward traveling waves with higher wave numbers ( k ≈ 12) embedded within the large‐scale flow often precedes MJO termination in the skeleton model. An RMM‐like index was created for the skeleton model that mimics observations Stochasticity helps improve MJO initiation and termination event statistics The skeleton model produces more realistic MJOs when forced with observed SSTs |
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Evaluating MJO event initiation and decay in the skeleton model using an RMM‐like index |
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Waliser, Duane E Majda, Andrew J Stechmann, Samuel N Thual, Sulian |
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