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
GPROF V7 and beyond: assessment of current and potential future versions of the GPROF passive microwave precipitation retrievals against ground radar measurements over the continental US and the Pacific Ocean
Simon Pfreundschuh, Clément Guilloteau, Paula J. Brown, Christian D. Kummerow, and Patrick Eriksson
Atmos. Meas. Tech., 17, 515–538, https://doi.org/10.5194/amt-17-515-2024,https://doi.org/10.5194/amt-17-515-2024, 2024
Short summary
Assessing sampling and retrieval errors of GPROF precipitation estimates over the Netherlands
Linda Bogerd, Hidde Leijnse, Aart Overeem, and Remko Uijlenhoet
Atmos. Meas. Tech., 17, 247–259, https://doi.org/10.5194/amt-17-247-2024,https://doi.org/10.5194/amt-17-247-2024, 2024
Short summary
Comparisons and quality control of wind observations in a mountainous city using wind profile radar and the Aeolus satellite
Hua Lu, Min Xie, Wei Zhao, Bojun Liu, Tijian Wang, and Bingliang Zhuang
Atmos. Meas. Tech., 17, 167–179, https://doi.org/10.5194/amt-17-167-2024,https://doi.org/10.5194/amt-17-167-2024, 2024
Short summary
On the use of routine airborne observations for evaluation and monitoring of satellite observations of thermodynamic profiles
Timothy J. Wagner, Thomas August, Tim Hultberg, and Ralph A. Petersen
Atmos. Meas. Tech., 17, 1–14, https://doi.org/10.5194/amt-17-1-2024,https://doi.org/10.5194/amt-17-1-2024, 2024
Short summary
Daily satellite-based sunshine duration estimates over Brazil: validation and intercomparison
Maria Lívia L. M. Gava, Simone M. S. Costa, and Anthony C. S. Porfírio
Atmos. Meas. Tech., 16, 5429–5441, https://doi.org/10.5194/amt-16-5429-2023,https://doi.org/10.5194/amt-16-5429-2023, 2023
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.