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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/amt-2018-292
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2018-292
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 20 Nov 2018

Research article | 20 Nov 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Measurement Techniques (AMT).

Cross-validation of GPS tomography models and methodological improvements using CORS network

Hugues Brenot1,10, Witold Rohm2, Michal Kačmařík3, Gregor Möller4, André Sá5, Damian Tondaś2, Lukas Rapant6, Riccardo Biondi7, Toby Manning8, and Cédric Champollion9 Hugues Brenot et al.
  • 1Royal Belgium Institute for Space Aeronomy, Brussels, Belgium
  • 2Wroclaw University of Environmental and Life Sciences, Wrocław, Poland
  • 3Department of Geoinformatics, VŠB-Technical University of Ostrava, Ostrava, The Czech Republic
  • 4Vienna University of Technology, Vienna, Austria
  • 5University of Beira Interior, Covilhã, Portugal
  • 6IT4Innovations, VŠB-Technical University of Ostrava, Ostrava, The Czech Republic
  • 7Università degli Studi di Padova, Padova, Italy
  • 8Royal Melbourne Institute of Technology University, Melbourne, Australia
  • 9Géosciences Montpellier, CNRS, Univ. Montpellier, UA, Montpellier, France
  • 10Solar-Terrestrial Centre of Excellence (STCE)

Abstract. Using data from the Continuously Operating Reference Stations (CORS), recorded in March 2010 during severe weather in the Victoria State, in southern Australia, sensitivity and statistical results of GPS tomography retrievals (water vapour density and wet refractivity) from 5 models have been tested and verified – considering independent observations from radiosonde and radio occultation profiles. The impact of initial conditions, associated with different time-convergence of tomography inversion, can reduce the normalised RMS of the tomography solution with respect to radiosonde estimates by a multiple (up to more than 3). Thereby it is illustrated that the quality of the apriori data in combination with iterative processing is critical, independently of the choice of the tomography model. However, the use of data stacking and pseudo-slant observations can significantly improve the quality of the retrievals, due to a better geometrical distribution and a better coverage of mid- and low-tropospheric parts. Besides, the impact of the uncertainty of GPS observations has been investigated, showing the interest of using several sets of data input to evaluate tomography retrievals in comparison to independent external measurements, and to estimate simultaneously the quality of NWP outputs. Finally, a comparison of our multi-model tomography with numerical weather prediction from ACCESS-A model shows the relevant use of tomography retrieval to improve the understanding of such severe weather conditions, especially about the initiation of the deep convection.

Hugues Brenot et al.
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Short summary
The increasing number of navigation satellites orbiting the Earth and the continuous world wide deployment of dense networks will enable more present and future GNSS applications in the field of atmospheric monitoring. This study suggests some elements of progress in methodology to highlight the interest of ensemble tomography solution for improving the understanding of severe weather conditions, especially the initiation of the deep convection.
The increasing number of navigation satellites orbiting the Earth and the continuous world wide...
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