author_facet Jin, F-F.
Lin, L.
Jin, F-F.
Lin, L.
author Jin, F-F.
Lin, L.
spellingShingle Jin, F-F.
Lin, L.
Journal of the Atmospheric Sciences
Closures for Ensemble-Mean Linear Dynamics with Stochastic Basic Flows
Atmospheric Science
author_sort jin, f-f.
spelling Jin, F-F. Lin, L. 1520-0469 0022-4928 American Meteorological Society Atmospheric Science http://dx.doi.org/10.1175/jas3845.1 <jats:title>Abstract</jats:title> <jats:p>This paper demonstrates the validity of a second-order closure for the ensemble-mean dynamics using the approach of direct numerical ensemble simulations of a linear barotropic model with stochastic basic flows. For various configurations of the stochastic basic flow and external forcing, the deterministic solutions under the second-order closure capture, with remarkable accuracy, the ensemble means and the associated eddy covariance fields of forced responses simulated by a 500-member numerical ensemble. Thus, the second-order closure is found to be adequate for describing the ensemble-mean linear dynamics with stochastic basic flows. Moreover, simple analytical solutions based on the second-order closure also demonstrate that the stochastic component of a superrotational basic flow not only damps the ensemble-mean Rossby waves, but also enhances their eastward propagation. Various examples of ensemble-mean solutions all show the important role played by the stochastic synoptic eddy component of the basic flow in determining the ensemble-mean responses to external forcing. This study supports the notion that linear frameworks of ensemble-mean dynamics under second-order closure are useful tools for describing and understanding the dynamics of the synoptic eddy and the low-frequency flow (SELF) feedback and extratropical atmospheric low-frequency variability.</jats:p> Closures for Ensemble-Mean Linear Dynamics with Stochastic Basic Flows Journal of the Atmospheric Sciences
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imprint American Meteorological Society, 2007
imprint_str_mv American Meteorological Society, 2007
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series Journal of the Atmospheric Sciences
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title Closures for Ensemble-Mean Linear Dynamics with Stochastic Basic Flows
title_unstemmed Closures for Ensemble-Mean Linear Dynamics with Stochastic Basic Flows
title_full Closures for Ensemble-Mean Linear Dynamics with Stochastic Basic Flows
title_fullStr Closures for Ensemble-Mean Linear Dynamics with Stochastic Basic Flows
title_full_unstemmed Closures for Ensemble-Mean Linear Dynamics with Stochastic Basic Flows
title_short Closures for Ensemble-Mean Linear Dynamics with Stochastic Basic Flows
title_sort closures for ensemble-mean linear dynamics with stochastic basic flows
topic Atmospheric Science
url http://dx.doi.org/10.1175/jas3845.1
publishDate 2007
physical 497-514
description <jats:title>Abstract</jats:title> <jats:p>This paper demonstrates the validity of a second-order closure for the ensemble-mean dynamics using the approach of direct numerical ensemble simulations of a linear barotropic model with stochastic basic flows. For various configurations of the stochastic basic flow and external forcing, the deterministic solutions under the second-order closure capture, with remarkable accuracy, the ensemble means and the associated eddy covariance fields of forced responses simulated by a 500-member numerical ensemble. Thus, the second-order closure is found to be adequate for describing the ensemble-mean linear dynamics with stochastic basic flows. Moreover, simple analytical solutions based on the second-order closure also demonstrate that the stochastic component of a superrotational basic flow not only damps the ensemble-mean Rossby waves, but also enhances their eastward propagation. Various examples of ensemble-mean solutions all show the important role played by the stochastic synoptic eddy component of the basic flow in determining the ensemble-mean responses to external forcing. This study supports the notion that linear frameworks of ensemble-mean dynamics under second-order closure are useful tools for describing and understanding the dynamics of the synoptic eddy and the low-frequency flow (SELF) feedback and extratropical atmospheric low-frequency variability.</jats:p>
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author Jin, F-F., Lin, L.
author_facet Jin, F-F., Lin, L., Jin, F-F., Lin, L.
author_sort jin, f-f.
container_issue 2
container_start_page 497
container_title Journal of the Atmospheric Sciences
container_volume 64
description <jats:title>Abstract</jats:title> <jats:p>This paper demonstrates the validity of a second-order closure for the ensemble-mean dynamics using the approach of direct numerical ensemble simulations of a linear barotropic model with stochastic basic flows. For various configurations of the stochastic basic flow and external forcing, the deterministic solutions under the second-order closure capture, with remarkable accuracy, the ensemble means and the associated eddy covariance fields of forced responses simulated by a 500-member numerical ensemble. Thus, the second-order closure is found to be adequate for describing the ensemble-mean linear dynamics with stochastic basic flows. Moreover, simple analytical solutions based on the second-order closure also demonstrate that the stochastic component of a superrotational basic flow not only damps the ensemble-mean Rossby waves, but also enhances their eastward propagation. Various examples of ensemble-mean solutions all show the important role played by the stochastic synoptic eddy component of the basic flow in determining the ensemble-mean responses to external forcing. This study supports the notion that linear frameworks of ensemble-mean dynamics under second-order closure are useful tools for describing and understanding the dynamics of the synoptic eddy and the low-frequency flow (SELF) feedback and extratropical atmospheric low-frequency variability.</jats:p>
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id ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTE3NS9qYXMzODQ1LjE
imprint American Meteorological Society, 2007
imprint_str_mv American Meteorological Society, 2007
institution DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229, DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161
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spelling Jin, F-F. Lin, L. 1520-0469 0022-4928 American Meteorological Society Atmospheric Science http://dx.doi.org/10.1175/jas3845.1 <jats:title>Abstract</jats:title> <jats:p>This paper demonstrates the validity of a second-order closure for the ensemble-mean dynamics using the approach of direct numerical ensemble simulations of a linear barotropic model with stochastic basic flows. For various configurations of the stochastic basic flow and external forcing, the deterministic solutions under the second-order closure capture, with remarkable accuracy, the ensemble means and the associated eddy covariance fields of forced responses simulated by a 500-member numerical ensemble. Thus, the second-order closure is found to be adequate for describing the ensemble-mean linear dynamics with stochastic basic flows. Moreover, simple analytical solutions based on the second-order closure also demonstrate that the stochastic component of a superrotational basic flow not only damps the ensemble-mean Rossby waves, but also enhances their eastward propagation. Various examples of ensemble-mean solutions all show the important role played by the stochastic synoptic eddy component of the basic flow in determining the ensemble-mean responses to external forcing. This study supports the notion that linear frameworks of ensemble-mean dynamics under second-order closure are useful tools for describing and understanding the dynamics of the synoptic eddy and the low-frequency flow (SELF) feedback and extratropical atmospheric low-frequency variability.</jats:p> Closures for Ensemble-Mean Linear Dynamics with Stochastic Basic Flows Journal of the Atmospheric Sciences
spellingShingle Jin, F-F., Lin, L., Journal of the Atmospheric Sciences, Closures for Ensemble-Mean Linear Dynamics with Stochastic Basic Flows, Atmospheric Science
title Closures for Ensemble-Mean Linear Dynamics with Stochastic Basic Flows
title_full Closures for Ensemble-Mean Linear Dynamics with Stochastic Basic Flows
title_fullStr Closures for Ensemble-Mean Linear Dynamics with Stochastic Basic Flows
title_full_unstemmed Closures for Ensemble-Mean Linear Dynamics with Stochastic Basic Flows
title_short Closures for Ensemble-Mean Linear Dynamics with Stochastic Basic Flows
title_sort closures for ensemble-mean linear dynamics with stochastic basic flows
title_unstemmed Closures for Ensemble-Mean Linear Dynamics with Stochastic Basic Flows
topic Atmospheric Science
url http://dx.doi.org/10.1175/jas3845.1