IONONEST—A Bayesian approach to modeling the lower ionosphere
Obtaining high-resolution electron density height profiles for the D region of the ionosphere as a well-sampled function of time is difficult for most methods of ionospheric measurement. Here we present a new method of using multifrequency riometry data for producing D region height profiles via inv...
| Published in: | Radio Science |
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| Main Authors: | , , , |
| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
2016
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| Subjects: | |
| Online Access: | https://research.manchester.ac.uk/en/publications/a1c13cb0-181e-4c2b-a36c-ffcfe671cf02 https://doi.org/10.1002/2016RS005965 https://pure.manchester.ac.uk/ws/files/47040138/Martin_et_al_2016_Radio_Science.pdf |
| Summary: | Obtaining high-resolution electron density height profiles for the D region of the ionosphere as a well-sampled function of time is difficult for most methods of ionospheric measurement. Here we present a new method of using multifrequency riometry data for producing D region height profiles via inverse methods. To obtain these profiles, we use the nested sampling technique, implemented through our code, IONONEST. We demonstrate this approach using new data from the Kilpisjärvi Atmospheric Imaging Receiver Array (KAIRA) instrument and consider two electron density models. We compare the recovered height profiles from the KAIRA data with those from incoherent scatter radar using data from the European Incoherent Scatter Facility (EISCAT) instrument and find that there is good agreement between the two techniques, allowing for instrumental differences. |
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