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DOI: 10.1002/2016GL068880
论文题名:
Identification and interpretation of nonnormality in atmospheric time series
作者: Proistosescu C.; Rhines A.; Huybers P.
刊名: Geophysical Research Letters
ISSN: 0094-9700
EISSN: 1944-9431
出版年: 2016
卷: 43, 期:10
起始页码: 5425
结束页码: 5434
语种: 英语
英文关键词: filtering ; non-Gaussianity ; nonnormality ; spectral analysis ; temperature distributions
Scopus关键词: Atmospheric structure ; Filtration ; Higher order statistics ; Spectrum analysis ; Statistical methods ; Temperature distribution ; Time series ; Auto regressive models ; Geophysical time series ; Identification and Interpretation ; Multiplicative noise ; Non-normality ; Nongaussianity ; Radiosonde temperature ; Temperature variation ; Atmospheric temperature
英文摘要: Nonnormal characteristics of geophysical time series are important determinants of extreme events and may provide insight into the underlying dynamics of a system. The structure of nonnormality in winter temperature is examined through the use of linear filtering of radiosonde temperature time series. Filtering either low or high frequencies generally suppresses what is otherwise statistically significant nonnormal variability in temperature. The structure of nonnormality is partly attributable to geometric relations between filtering and the appearance of skewness, kurtosis, and higher order moments in time series data, and partly attributable to the presence of nonnormal temperature variations at the highest resolved frequencies in the presence of atmospheric memory. A nonnormal autoregressive model and a multiplicative noise model are both consistent with the observed frequency structure of nonnormality. These results suggest that the generating mechanism for nonnormal variations does not necessarily act at the frequencies at which greatest nonnormality is observed. ©2016. American Geophysical Union. All Rights Reserved.
URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84971013941&doi=10.1002%2f2016GL068880&partnerID=40&md5=a6e5e20886b4ce668a4d08b3919f6473
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/10663
Appears in Collections:科学计划与规划
气候变化与战略

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作者单位: Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, United States

Recommended Citation:
Proistosescu C.,Rhines A.,Huybers P.. Identification and interpretation of nonnormality in atmospheric time series[J]. Geophysical Research Letters,2016-01-01,43(10).
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