| DOI: | 10.1175/JCLI-D-17-0814.1
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| Scopus记录号: | 2-s2.0-85049731979
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| 论文题名: | Temporal filtering enhances the skewness of sea surface winds |
| 作者: | Monahan A.H.
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| 刊名: | Journal of Climate
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| ISSN: | 8948755
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| 出版年: | 2018
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| 卷: | 31, 期:14 | | 起始页码: | 5695
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| 结束页码: | 5706
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| 语种: | 英语
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| 英文关键词: | Filtering techniques
; Nonlinear models
; Stochastic models
; Time series
; Wind
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| Scopus关键词: | Atmospheric structure
; Cutoff frequency
; Gaussian noise (electronic)
; Higher order statistics
; Low pass filters
; Stochastic systems
; Surface waters
; Time measurement
; Time series
; Wind
; Band pass filtering
; Characteristic time
; Filtering technique
; Mid-latitude storms
; Multiplicative noise
; Near-surface winds
; Non-linear model
; Temporal filtering
; Stochastic models
; climate modeling
; instrumentation
; marine atmosphere
; nonlinearity
; sea surface
; skewness
; stochasticity
; synoptic meteorology
; temporal variation
; time series
; wind direction
; wind field
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| 英文摘要: | The component of the sea surface wind in the along-mean wind direction is known to display pronounced skewness at many locations over the ocean. A recent study by Proistosescu et al. found that the skewness of daily 850-hPa air temperature measured by radiosondes is typically reduced by bandpass filtering. This behavior was also shown to be characteristic of correlated additive-multiplicative (CAM) noise, which has been proposed as a generic model for non-Gaussian variability in the atmosphere and ocean. The present study shows that if the cutoff frequency is not too low, the skewness of the along-mean wind component is enhanced by low-pass filtering, particularly in the equatorial band and in the midlatitude storm tracks. The filter time scale beyond which skewness is systematically reduced by filtering is of the daily to synoptic scale, except in a narrow equatorial band where it is of subseasonal to seasonal time scales. This behavior is reproduced in an idealized stochastic model of the near-surface winds, in which key parameters are the characteristic time scales of the nonlinear dynamics and of the noise. These results point toward more general approaches for assessing the relative importance of multiplicative noise or dynamical nonlinearities in producing non-Gaussian structure in atmospheric and oceanic fields. © 2018 American Meteorological Society. |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/111465
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| Appears in Collections: | 气候减缓与适应
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作者单位: | School of Earth and Ocean Sciences, University of Victoria, Victoria, BC, Canada
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| Recommended Citation: | |
Monahan A.H.. Temporal filtering enhances the skewness of sea surface winds[J]. Journal of Climate,2018-01-01,31(14)
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