Articles | Volume 9, issue 4
https://doi.org/10.5194/amt-9-1859-2016
https://doi.org/10.5194/amt-9-1859-2016
Research article
 | Highlight paper
 | 
28 Apr 2016
Research article | Highlight paper |  | 28 Apr 2016

Bayesian statistical ionospheric tomography improved by incorporating ionosonde measurements

Johannes Norberg, Ilkka I. Virtanen, Lassi Roininen, Juha Vierinen, Mikko Orispää, Kirsti Kauristie, and Markku S. Lehtinen

Related authors

Sodankylä ionospheric tomography data set 2003–2014
Johannes Norberg, Lassi Roininen, Antti Kero, Tero Raita, Thomas Ulich, Markku Markkanen, Liisa Juusola, and Kirsti Kauristie
Geosci. Instrum. Method. Data Syst., 5, 263–270, https://doi.org/10.5194/gi-5-263-2016,https://doi.org/10.5194/gi-5-263-2016, 2016
Short summary
Statistical framework for estimating GNSS bias
Juha Vierinen, Anthea J. Coster, William C. Rideout, Philip J. Erickson, and Johannes Norberg
Atmos. Meas. Tech., 9, 1303–1312, https://doi.org/10.5194/amt-9-1303-2016,https://doi.org/10.5194/amt-9-1303-2016, 2016
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Validation and Intercomparisons
Solar background radiation temperature calibration of a pure rotational Raman lidar
Vasura Jayaweera, Robert J. Sica, Giovanni Martucci, and Alexander Haefele
Atmos. Meas. Tech., 18, 1461–1469, https://doi.org/10.5194/amt-18-1461-2025,https://doi.org/10.5194/amt-18-1461-2025, 2025
Short summary
Exploring commercial Global Navigation Satellite System (GNSS) radio occultation (RO) products for planetary boundary layer studies in the Arctic
Manisha Ganeshan, Dong L. Wu, Joseph A. Santanello, Jie Gong, Chi Ao, Panagiotis Vergados, and Kevin J. Nelson
Atmos. Meas. Tech., 18, 1389–1403, https://doi.org/10.5194/amt-18-1389-2025,https://doi.org/10.5194/amt-18-1389-2025, 2025
Short summary
Research on atmospheric temperature fine measurements from the near surface to 60 km altitude based on an integrated lidar system
Zhangjun Wang, Tiantian Guo, Xianxin Li, Chao Chen, Dong Liu, Luoyuan Qu, Hui Li, and Xiufen Wang
Atmos. Meas. Tech., 18, 1405–1414, https://doi.org/10.5194/amt-18-1405-2025,https://doi.org/10.5194/amt-18-1405-2025, 2025
Short summary
Testing ground-based observations of wave activity in the (lower and upper) atmosphere as possible (complementary) indicators of streamer events
Michal Kozubek, Lisa Kuchelbacher, Jaroslav Chum, Tereza Sindelarova, Franziska Trinkl, and Katerina Podolska
Atmos. Meas. Tech., 18, 1373–1388, https://doi.org/10.5194/amt-18-1373-2025,https://doi.org/10.5194/amt-18-1373-2025, 2025
Short summary
Quality assessment of YUNYAO radio occultation data in the neutral atmosphere
Xiaoze Xu, Wei Han, Jincheng Wang, Zhiqiu Gao, Fenghui Li, Yan Cheng, and Naifeng Fu
Atmos. Meas. Tech., 18, 1339–1353, https://doi.org/10.5194/amt-18-1339-2025,https://doi.org/10.5194/amt-18-1339-2025, 2025
Short summary

Cited articles

Andreeva, E. S.: Radio tomographic reconstruction of ionization dip in the plasma near the Earth, J. Exp. Theor. Phys. Lett., 52, 142–148, 1990.
Austen, J. R., Franke, S. J., and Liu, C. H.: Ionospheric imaging using computerized tomography, Radio Sci., 3, 299–307, 1988.
Bilitza, D. and Reinisch, B. W.: International Reference Ionosphere 2007: improvements and a new parameters, Adv. Space Res., 42, 599–609, 2008.
Breit, G. and Tuve, M. A.: A Test of the Existence of the Conducting Layer, Phys. Rev., 28, 554–575, 1926.
Bust, G. S. and Mitchell, C. N.: History, current state, and future directions of ionospheric imaging, Rev. Geophys., 46, RG1003, https://doi.org/10.1029/2006RG000212, 2008.
Download
Short summary
We validate 2-D ionospheric tomography reconstructions against EISCAT incoherent scatter radar measurements. The method is based on Bayesian statistical inversion. We employ ionosonde measurements for the choice of the prior distribution parameters and use a sparse matrix approximation for the computations. This results in a computationally efficient tomography algorithm with clear probabilistic interpretation. We find that ionosonde measurements improve the reconstruction significantly.
Share