654 JOURNAL OF THE ATMOSPHERIC SCIENCES VOLUME 60 Stochastic Analysis of Southern and Pacific Ocean Sea Surface Winds
This paper shows that the synoptic variability of zonal and meridional midlatitude Pacific and Southern Ocean sea surface winds can be well described by a univariate stochastic dynamical system directly derived from data. The method used to analyze blended Quick Scatterometer (QuikSCAT)–NCEP winds i...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.333.948 2023-05-15T18:25:27+02:00 654 JOURNAL OF THE ATMOSPHERIC SCIENCES VOLUME 60 Stochastic Analysis of Southern and Pacific Ocean Sea Surface Winds Philip Sura The Pennsylvania State University CiteSeerX Archives 2001 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.333.948 http://gemini.met.fsu.edu/publications/multnoise.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.333.948 http://gemini.met.fsu.edu/publications/multnoise.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://gemini.met.fsu.edu/publications/multnoise.pdf text 2001 ftciteseerx 2016-09-11T00:06:53Z This paper shows that the synoptic variability of zonal and meridional midlatitude Pacific and Southern Ocean sea surface winds can be well described by a univariate stochastic dynamical system directly derived from data. The method used to analyze blended Quick Scatterometer (QuikSCAT)–NCEP winds is a general method to estimate drift and diffusion coefficients of a continuous stationary Markovian system. Almost trivially, the deterministic part consists of a simple, nearly linear damping term. More importantly, the stochastic part appears to be a state-dependent white noise term, that is, multiplicative noise. The need for a multiplicative noise term to describe the variability of midlatitude winds can be interpreted by the fact that the variability of midlatitude winds increases with increasing wind speed. The results indicate that a complete stochastic description of midlatitude winds requires a state-dependent white noise term, that is, multiplicative noise. A simple Ornstein– Uhlenbeck process is not sufficient to describe the wind data within a stochastic framework. The method used fails for tropical regions, suggesting that tropical variability might be non-Markovian. 1. Text Southern Ocean Unknown Pacific Southern Ocean |
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ftciteseerx |
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English |
description |
This paper shows that the synoptic variability of zonal and meridional midlatitude Pacific and Southern Ocean sea surface winds can be well described by a univariate stochastic dynamical system directly derived from data. The method used to analyze blended Quick Scatterometer (QuikSCAT)–NCEP winds is a general method to estimate drift and diffusion coefficients of a continuous stationary Markovian system. Almost trivially, the deterministic part consists of a simple, nearly linear damping term. More importantly, the stochastic part appears to be a state-dependent white noise term, that is, multiplicative noise. The need for a multiplicative noise term to describe the variability of midlatitude winds can be interpreted by the fact that the variability of midlatitude winds increases with increasing wind speed. The results indicate that a complete stochastic description of midlatitude winds requires a state-dependent white noise term, that is, multiplicative noise. A simple Ornstein– Uhlenbeck process is not sufficient to describe the wind data within a stochastic framework. The method used fails for tropical regions, suggesting that tropical variability might be non-Markovian. 1. |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Philip Sura |
spellingShingle |
Philip Sura 654 JOURNAL OF THE ATMOSPHERIC SCIENCES VOLUME 60 Stochastic Analysis of Southern and Pacific Ocean Sea Surface Winds |
author_facet |
Philip Sura |
author_sort |
Philip Sura |
title |
654 JOURNAL OF THE ATMOSPHERIC SCIENCES VOLUME 60 Stochastic Analysis of Southern and Pacific Ocean Sea Surface Winds |
title_short |
654 JOURNAL OF THE ATMOSPHERIC SCIENCES VOLUME 60 Stochastic Analysis of Southern and Pacific Ocean Sea Surface Winds |
title_full |
654 JOURNAL OF THE ATMOSPHERIC SCIENCES VOLUME 60 Stochastic Analysis of Southern and Pacific Ocean Sea Surface Winds |
title_fullStr |
654 JOURNAL OF THE ATMOSPHERIC SCIENCES VOLUME 60 Stochastic Analysis of Southern and Pacific Ocean Sea Surface Winds |
title_full_unstemmed |
654 JOURNAL OF THE ATMOSPHERIC SCIENCES VOLUME 60 Stochastic Analysis of Southern and Pacific Ocean Sea Surface Winds |
title_sort |
654 journal of the atmospheric sciences volume 60 stochastic analysis of southern and pacific ocean sea surface winds |
publishDate |
2001 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.333.948 http://gemini.met.fsu.edu/publications/multnoise.pdf |
geographic |
Pacific Southern Ocean |
geographic_facet |
Pacific Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_source |
http://gemini.met.fsu.edu/publications/multnoise.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.333.948 http://gemini.met.fsu.edu/publications/multnoise.pdf |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766206928469360640 |