Articles | Volume 34, issue 4
https://doi.org/10.5194/angeo-34-437-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/angeo-34-437-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Regular paper
| 
19 Apr 2016
Regular paper |
| 19 Apr 2016
Effect of data gaps: comparison of different spectral analysis methods
Institute of Space Science, Magurele, Romania
Astronomy and Space Physics Research Unit, University of Oulu, Oulu, Finland
Department of Physics, University of Bucharest, Magurele, Romania
Catalin Negrea
Institute of Space Science, Magurele, Romania
Cooperative Institute for Research in Environmental Sciences, Univ. of Colorado, Boulder, Colorado, USA
Space Weather Prediction Center, NOAA, Boulder, Colorado, USA
Marius Echim
Institute of Space Science, Magurele, Romania
Belgian Institute of Space Aeronomy, Brussels, Belgium
Kalevi Mursula
Astronomy and Space Physics Research Unit, University of Oulu, Oulu, Finland
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Latest update: 18 Apr 2024
Short summary
We investigate the effect of data gaps for various methods of estimating the amplitude spectrum of a time series. We probe the effects of a single data gap of varying size and of numerous small gaps distributed within the time series. We use synthetic data sets and magnetic field measurements from the Venus Express spacecraft. For multiple gaps and turbulent magnetic data, we show that some advanced methods overestimate the high frequencies, while FFT slightly underestimates them.
We investigate the effect of data gaps for various methods of estimating the amplitude spectrum...
