Working Paper Article Version 3 This version is not peer-reviewed

Revision of the Atmospheric Modeling for SNR Observations in Ground-Based GNSS Reflectometry

Version 1 : Received: 21 December 2020 / Approved: 22 December 2020 / Online: 22 December 2020 (12:58:17 CET)
Version 2 : Received: 31 December 2020 / Approved: 5 January 2021 / Online: 5 January 2021 (11:48:17 CET)
Version 3 : Received: 15 June 2021 / Approved: 16 June 2021 / Online: 16 June 2021 (08:50:03 CEST)

How to cite: Reinking, J. Revision of the Atmospheric Modeling for SNR Observations in Ground-Based GNSS Reflectometry. Preprints 2020, 2020120564 Reinking, J. Revision of the Atmospheric Modeling for SNR Observations in Ground-Based GNSS Reflectometry. Preprints 2020, 2020120564

Abstract

The application of signal-to-noise ratio (SNR) observations from ground-based GNSS Reflectometry is becoming an operational tool for coastal sea-level altimetry. As in all data analyses, systematic influences must be reduced here too, to achieve reliable results. A prominent influence results from atmospheric refraction. Different approaches exist to describe or to correct for this influence. In our contribution we will revise the latest developments and suggest a simple atmospheric interferometric delay model that takes into account ray bending as well as along-path propagation delay. The model takes into account a spherical reflector and can therefore be applied for data from very low elevation angles, too. The findings are double-checked by numerical experiments based on a step-by-step raytracing procedure.

Keywords

GNSS; reflectometry; SNR; atmospheric refraction

Subject

Computer Science and Mathematics, Computer Science

Comments (1)

Comment 1
Received: 16 June 2021
Commenter: Jörg Reinking
Commenter's Conflict of Interests: Author
Comment: Some parts changed after first review round.
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