Oceanic turbulence and stochastic models from subsurface Lagrangian data for the northwest Atlantic Ocean
The historical dataset provided by 700-m acoustically tracked floats is analyzed in different regions of the northwestern Atlantic Ocean. The goal is to characterize the main properties of the mesoscale turbulence and to explore Lagrangian stochastic models capable of describing them. The data analy...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.527.7954 2023-05-15T17:45:39+02:00 Oceanic turbulence and stochastic models from subsurface Lagrangian data for the northwest Atlantic Ocean Milena Veneziani Annalisa Griffa Andy M. Reynolds Arthur J. Mariano The Pennsylvania State University CiteSeerX Archives 2004 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.527.7954 http://www.pmc.ucsc.edu/~milenav/mysite/LSMs_files/venez_etal2004.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.527.7954 http://www.pmc.ucsc.edu/~milenav/mysite/LSMs_files/venez_etal2004.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.pmc.ucsc.edu/~milenav/mysite/LSMs_files/venez_etal2004.pdf text 2004 ftciteseerx 2016-01-08T10:26:10Z The historical dataset provided by 700-m acoustically tracked floats is analyzed in different regions of the northwestern Atlantic Ocean. The goal is to characterize the main properties of the mesoscale turbulence and to explore Lagrangian stochastic models capable of describing them. The data analysis is carried out mostly in terms of Lagrangian velocity autocovariance and cross-covariance functions. In the Gulf Stream recirculation and extension regions, the autocovariances and cross covariances exhibit significant oscillatory patterns on time scales comparable to the Lagrangian decorrelation time scale. They are indicative of sub- and superdiffusive behaviors in the mean spreading of water particles. The main result of the paper is that the properties of Lagrangian data can be considered as a superposition of two different regimes associated with looping and nonlooping trajectories and that both regimes can be parameterized using a simple first-order Lagrangian stochastic model with spin parameter V. The spin couples the zonal and meridional velocity components, reproducing the effects of rotating coherent structures such as vortices and mesoscale eddies. It is considered as a random parameter whose probability distribution is approximately bimodal, reflecting the distribution of loopers (finite V) and nonloopers (zero V). This simple model is found to be very effective in reproducing the statistical properties of the data. 1. Text Northwest Atlantic Unknown |
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English |
description |
The historical dataset provided by 700-m acoustically tracked floats is analyzed in different regions of the northwestern Atlantic Ocean. The goal is to characterize the main properties of the mesoscale turbulence and to explore Lagrangian stochastic models capable of describing them. The data analysis is carried out mostly in terms of Lagrangian velocity autocovariance and cross-covariance functions. In the Gulf Stream recirculation and extension regions, the autocovariances and cross covariances exhibit significant oscillatory patterns on time scales comparable to the Lagrangian decorrelation time scale. They are indicative of sub- and superdiffusive behaviors in the mean spreading of water particles. The main result of the paper is that the properties of Lagrangian data can be considered as a superposition of two different regimes associated with looping and nonlooping trajectories and that both regimes can be parameterized using a simple first-order Lagrangian stochastic model with spin parameter V. The spin couples the zonal and meridional velocity components, reproducing the effects of rotating coherent structures such as vortices and mesoscale eddies. It is considered as a random parameter whose probability distribution is approximately bimodal, reflecting the distribution of loopers (finite V) and nonloopers (zero V). This simple model is found to be very effective in reproducing the statistical properties of the data. 1. |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Milena Veneziani Annalisa Griffa Andy M. Reynolds Arthur J. Mariano |
spellingShingle |
Milena Veneziani Annalisa Griffa Andy M. Reynolds Arthur J. Mariano Oceanic turbulence and stochastic models from subsurface Lagrangian data for the northwest Atlantic Ocean |
author_facet |
Milena Veneziani Annalisa Griffa Andy M. Reynolds Arthur J. Mariano |
author_sort |
Milena Veneziani |
title |
Oceanic turbulence and stochastic models from subsurface Lagrangian data for the northwest Atlantic Ocean |
title_short |
Oceanic turbulence and stochastic models from subsurface Lagrangian data for the northwest Atlantic Ocean |
title_full |
Oceanic turbulence and stochastic models from subsurface Lagrangian data for the northwest Atlantic Ocean |
title_fullStr |
Oceanic turbulence and stochastic models from subsurface Lagrangian data for the northwest Atlantic Ocean |
title_full_unstemmed |
Oceanic turbulence and stochastic models from subsurface Lagrangian data for the northwest Atlantic Ocean |
title_sort |
oceanic turbulence and stochastic models from subsurface lagrangian data for the northwest atlantic ocean |
publishDate |
2004 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.527.7954 http://www.pmc.ucsc.edu/~milenav/mysite/LSMs_files/venez_etal2004.pdf |
genre |
Northwest Atlantic |
genre_facet |
Northwest Atlantic |
op_source |
http://www.pmc.ucsc.edu/~milenav/mysite/LSMs_files/venez_etal2004.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.527.7954 http://www.pmc.ucsc.edu/~milenav/mysite/LSMs_files/venez_etal2004.pdf |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766148824726765568 |