Reflected ray retrieval from radio occultation data using radio holographic filtering of wave fields in ray space

• Published in: Atmospheric Measurement Techniques
• Main Authors: Gorbunov, Michael E., Cardellach, Estel, Lauritsen, Kent B.
• Format: Article in Journal/Newspaper
• Language: English
• Published: Copernicus Publications 2018
• Subjects: article; Verlagsveröffentlichung; Antarc*; Antarctica
• Online Access: https://doi.org/10.5194/amt-11-1181-2018; https://noa.gwlb.de/receive/cop_mods_00007206; https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00007163/amt-11-1181-2018.pdf; https://amt.copernicus.org/articles/11/1181/2018/amt-11-1181-2018.pdf

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 equals 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 with our definition of reflection index.