| DOI: | 10.1175/JCLI-D-11-00504.1
|
| Scopus记录号: | 2-s2.0-84874813301
|
| 论文题名: | Climatology of non-gaussian atmospheric statistics |
| 作者: | Perron M.; Sura P.
|
| 刊名: | Journal of Climate
|
| ISSN: | 8948755
|
| 出版年: | 2013
|
| 卷: | 26, 期:3 | | 起始页码: | 1063
|
| 结束页码: | 1083
|
| 语种: | 英语
|
| Scopus关键词: | Air temperature
; Atmospheric circulation
; Atmospheric variables
; Climate statistics
; Climate system
; Climate variability
; Daily datum
; Extreme events
; Gaussianity
; Geo-potential heights
; Horizontal winds
; Meridional winds
; Non-Gaussian
; Non-Gaussian statistics
; Potential vorticity
; Pressure level
; Quasi-geostrophic
; Reanalysis
; Relative vorticity
; Spatial grids
; Specific humidity
; Statistical moments
; Time domain
; Vertical velocity
; Zonal wind
; Climatology
; Gaussian noise (electronic)
; Higher order statistics
; Statistics
; Time series
; Vorticity
; Atmospheric humidity
; air temperature
; atmospheric circulation
; climate variation
; climatology
; extreme event
; geopotential
; geostrophic flow
; humidity
; skewness
; statistical analysis
; time series
; vorticity
; wind velocity
; zonal wind
|
| 英文摘要: | A common assumption in the earth sciences is the Gaussianity of data over time. However, several independent studies in the past few decades have shown this assumption to be mostly false. To be able to study non-Gaussian climate statistics, one must first compile a systematic climatology of the higher statistical moments (skewness and kurtosis; the third and fourth central statistical moments, respectively). Sixty-two years of daily data from the NCEP-NCAR Reanalysis I project are analyzed. The skewness and kurtosis of the data are found at each spatial grid point for the entire time domain. Nine atmospheric variables were chosen for their physical and dynamical relevance in the climate system: geopotential height, relative vorticity, quasigeostrophic potential vorticity, zonal wind, meridional wind, horizontal wind speed, vertical velocity in pressure coordinates, air temperature, and specific humidity. For each variable, plots of significant global skewness and kurtosis are shown for December-February and June-August at a specified pressure level. Additionally, the statistical moments are then zonally averaged to show the vertical dependence of the non-Gaussian statistics. This is a more comprehensive look at non-Gaussian atmospheric statistics than has been taken in previous studies on this topic. © 2013 American Meteorological Society. |
| Citation statistics: |
|
| 资源类型: | 期刊论文
|
| 标识符: | http://119.78.100.158/handle/2HF3EXSE/52008
|
| Appears in Collections: | 气候变化事实与影响
|
|
There are no files associated with this item.
|
|
作者单位: | Department of Earth, Ocean, and Atmospheric Science, Florida State University, Tallahassee, FL, United States
|
| Recommended Citation: | |
Perron M.,Sura P.. Climatology of non-gaussian atmospheric statistics[J]. Journal of Climate,2013-01-01,26(3)
|
|
|