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

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https://doi.org/10.5194/amt-2017-189
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
23 Aug 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Measurement Techniques (AMT).
Reflected ray retrieval from radio occultation data using radio holographic filtering of wave fields in ray space
Michael E. Gorbunov1, Estel Cardellach2, and Kent B. Lauritsen3 1A. M. Obukhov Institute of Atmospheric Physics RAS, Moscow
2Institut d’Estudis Espacials de Catalunya, Barcelona, Spain
3Danish Meteorological Institute, Copenhagen, Denmark
Abstract. Linear and non-linear representations of wave fields constitute the basis of modern algorithms for analysis of radio occultation (RO) data. Linear representations are implemented by Fourier Integral Operators, which allow for high-resolution retrieval of bending angles. Non-linear representations include Wigner Distribution Function (WDF), which equal the pseudo-density of energy in the ray space. Representations allow for filtering wave fields by suppressing some areas of the ray space and mapping the field back from the transformed space to the initial one. We apply this technique to the retrieval of reflected rays from RO observations. The use of reflected rays may increase the accuracy of the retrieval of the atmospheric refractivity. Reflected rays can be identified by the visual inspection of WDF or spectrogram plots. Numerous examples from COSMIC data indicate that reflections are mostly observed over oceans or snow, in particular, over Antarctica. We introduce the reflection index that characterizes the relative intensity of the reflected ray with respect to the direct ray. The index allows for the automatic identification of events with reflections. We use the radio holographic estimate of the errors of the retrieved bending angle profiles of reflected rays. A comparison of indices evaluated for a large base of events including the visual identification of reflections indicated a good agreement.

Citation: Gorbunov, M. E., Cardellach, E., and Lauritsen, K. B.: Reflected ray retrieval from radio occultation data using radio holographic filtering of wave fields in ray space, Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2017-189, in review, 2017.
Michael E. Gorbunov et al.
Michael E. Gorbunov et al.
Michael E. Gorbunov et al.

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Short summary
We apply linear and non-linear representations of wave fields, based on Fourier Integral Operators and Wigner Distribution Function, respectively to the retrieval of reflected rays from radio occultation observations. We introduce the reflection index that characterizes the relative intensity of the reflected ray. A comparison of indices evaluated for a large base of events including the visual identification of reflections indicated a good agreement.
We apply linear and non-linear representations of wave fields, based on Fourier Integral...
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