Identification and interpretation of nonnormality in atmospheric time series
Abstract 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 t...
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| Main Authors: | Cristian Proistosescu, Andrew Rhines, Peter Huybers |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-05-01
|
| Series: | Geophysical Research Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/2016GL068880 |
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