This paper provides a procedure for evaluating model performance where model predictions and observations are given as time series data. The procedure focuses on the analysis of error time series by graphing them, summarizing them, and predicting their variability through available information (reca
β¦ LIBER β¦
Evaluating the stationarity of equatorial spread-F time series data
β Scribed by J.-M. Jahn; J. LaBelle; R.A. Treumann
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 448 KB
- Volume
- 59
- Category
- Article
- ISSN
- 1364-6826
No coin nor oath required. For personal study only.
β¦ Synopsis
Spectral analysis of satellite and sounding rocket data has been an important tool in understanding intermediate scale equatorial spread-F phenomena.
An assumption for these investigations was the stationarity of the time series. Following Matthaeus and Goldstein (1982a) we explore a method to assess the stationarity assumption quantitatively, illustrating our results with rocket density data from topside spread-F. Data intervals that span a relatively small fraction of a spread-F 'bubble' are found to satisfy stationarity if suitable linear detrending is performed.
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