Journal cover Journal topic
Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 3.400 IF 3.400
  • IF 5-year value: 3.841 IF 5-year
    3.841
  • CiteScore value: 3.71 CiteScore
    3.71
  • SNIP value: 1.472 SNIP 1.472
  • IPP value: 3.57 IPP 3.57
  • SJR value: 1.770 SJR 1.770
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 70 Scimago H
    index 70
  • h5-index value: 49 h5-index 49
Volume 9, issue 4
Atmos. Meas. Tech., 9, 1859–1869, 2016
https://doi.org/10.5194/amt-9-1859-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 9, 1859–1869, 2016
https://doi.org/10.5194/amt-9-1859-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 28 Apr 2016

Research article | 28 Apr 2016

Bayesian statistical ionospheric tomography improved by incorporating ionosonde measurements

Johannes Norberg et al.
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
Evaluation of GPM-DPR precipitation estimates with WegenerNet gauge data
Martin Lasser, Sungmin O, and Ulrich Foelsche
Atmos. Meas. Tech., 12, 5055–5070, https://doi.org/10.5194/amt-12-5055-2019,https://doi.org/10.5194/amt-12-5055-2019, 2019
Short summary
A study of a two-dimensional scanned lunar image for Advanced Technology Microwave Sounder (ATMS) geometric calibration
Jun Zhou and Hu Yang
Atmos. Meas. Tech., 12, 4983–4992, https://doi.org/10.5194/amt-12-4983-2019,https://doi.org/10.5194/amt-12-4983-2019, 2019
Short summary
Multistatic meteor radar observations of gravity-wave–tidal interaction over southern Australia
Andrew John Spargo, Iain Murray Reid, and Andrew David MacKinnon
Atmos. Meas. Tech., 12, 4791–4812, https://doi.org/10.5194/amt-12-4791-2019,https://doi.org/10.5194/amt-12-4791-2019, 2019
Short summary
On the zero-level offset in the GOSAT TANSO-FTS O2 A-band and the quality of solar-induced chlorophyll fluorescence (SIF): Comparison of SIF between GOSAT and OCO-2
Haruki Oshio, Yukio Yoshida, and Tsuneo Matsunaga
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2019-234,https://doi.org/10.5194/amt-2019-234, 2019
Revised manuscript accepted for AMT
A geometry-dependent surface Lambertian-equivalent reflectivity product for UV/Vis retrievals: Part II. Evaluation over open ocean
Zachary Fasnacht, Alexander Vasilkov, David Haffner, Wenhan Qin, Joanna Joiner, Nickolay Krotkov, Andrew M. Sayer, and Robert Spurr
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2019-260,https://doi.org/10.5194/amt-2019-260, 2019
Revised manuscript accepted for AMT
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.
Publications Copernicus
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.
We validate 2-D ionospheric tomography reconstructions against EISCAT incoherent scatter radar...
Citation