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
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).