Preprints
https://doi.org/10.5194/amt-2023-132
https://doi.org/10.5194/amt-2023-132
01 Sep 2023
 | 01 Sep 2023
Status: this preprint is currently under review for the journal AMT.

Forward operator for polarimetric radio occultation measurements

Daisuke Hotta, Katrin Lonitz, and Sean Healy

Abstract. Global Navigation Satellite System (GNSS) Polarimetric Radio-Occultation (PRO) observations sense the presence of hydrometeor particles along the ray path by measuring the difference of excess phases in horizontally and vertically polarised carrier waves. As a first step towards using these observations in data assimilation and model diagnostics, a forward operator for GNSS-PRO observable ΦDP (polarimetric differential phase shift) has been implemented by extending the existing two-dimensional forward operator for radio-occultation bending angle observations. Evaluation on heavy precipitation cases showed that the implemented forward operator can simulate very accurately the observed ΦDP in synoptic-scale atmospheric river (AR) cases. For tropical cyclone cases it is more challenging to produce reasonable ΦDP simulations, due to the highly sensitive of ΦDP with respect to displacement of the position of the tropical cyclones. It was also found that snow is the dominant contributor to the simulated ΦDP, and that the ability to compute the ray paths in two dimensions is essential to accurately simulate ΦDP.

Daisuke Hotta et al.

Status: open (until 22 Oct 2023)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on amt-2023-132', J. S. Haase, 11 Sep 2023 reply
    • AC1: 'Reply on CC1', Daisuke Hotta, 21 Sep 2023 reply

Daisuke Hotta et al.

Daisuke Hotta et al.

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Short summary
Global Navigation Satellite System (GNSS) Polarimetric Radio-Occultation (PRO) is a new type of GNSS observations that can detect heavy precipitation along the ray path between the emitter and receiver satellites. As a first step towards using these observations numerical weather prediction (NWP), we developed a computer code that simulates GNSS-PRO observations from forecast fields produced by a NWP model. The quality of the developed simulator is evaluated with a number of case studies.