| DOI: | 10.1175/JCLI-D-16-0507.1
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| Scopus记录号: | 2-s2.0-85025620755
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| 论文题名: | Predictive anisotropy of surface winds by linear statistical prediction |
| 作者: | Mao Y.; Monahan A.
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| 刊名: | Journal of Climate
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| ISSN: | 8948755
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| 出版年: | 2017
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| 卷: | 30, 期:16 | | 起始页码: | 6183
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| 结束页码: | 6201
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| 语种: | 英语
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| Scopus关键词: | Regression analysis
; Statistics
; Wind effects
; Complex topographies
; Influential factors
; Meteorological station
; Statistical modeling
; Statistical prediction
; Surface heterogeneities
; Surface wind vector
; Topographic complexity
; Anisotropy
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| 英文摘要: | This study considers characteristics of the statistical predictability of surface wind vectors by linear regression using midtropospheric climate fields as predictors. Specifically, predictive anisotropy, which refers to unequal predictability of wind components projected onto different directions, is considered. The spatial distribution of predictability of surface wind components is determined at 2109 land surface meteorological stations across the globe. The results show that predictive anisotropy is a common feature that is spatially organized in terms of both magnitude and direction. The relationships between predictability and potential influential factors (topographic complexity, mean surface wind vectors, and standard deviation and kurtosis of wind components) are considered. It is found that poor predictability of wind components is generally associated with wind components characterized by relatively weak and non-Gaussian variability. While predictive anisotropy is often found in regions characterized by complex topography, marked predictive anisotropy also occurs away from evident surface heterogeneity. The relationships between predictability, variability, and shape of distribution of surface wind components are described using an idealized statistical model of large-scale and local influences on surface wind. © 2017 American Meteorological Society. |
| 资助项目: | NSERC, Natural Sciences and Engineering Research Council of Canada
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| Citation statistics: |
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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/48737
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| Appears in Collections: | 气候减缓与适应
气候变化与战略
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作者单位: | School of Earth and Ocean Sciences, University of VictoriaBC, Canada
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| Recommended Citation: | |
Mao Y.,Monahan A.. Predictive anisotropy of surface winds by linear statistical prediction[J]. Journal of Climate,2017-01-01,30(16)
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