Representation and interpretation about underwater sound speed gradient field in the GNSS-A observation

Author:

Yokota Yusuke1ORCID,Ishikawa Tadashi2,Watanabe Shun-ichi2,Nakamura Yuto2,Nagae Koya2

Affiliation:

1. Institute of Industrial Science, University of Tokyo , 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505 , Japan

2. Hydrographic and Oceanographic Department, Japan Coast Guard , 3-1-1 Kasumigaseki, Chiyoda-ku, Tokyo 100-8932 , Japan

Abstract

SUMMARY The Global Navigation Satellite System—Acoustic ranging combination technique (GNSS-A) is a seafloor geodetic observation technique that achieves an accuracy of centimetres by combining high-rate GNSS data with acoustic ranging. The technique determines the seafloor position by acoustic ranging between the sea surface and multiple seafloor stations, using GNSS data from the sea surface station. Here, the gradient state of the underwater sound speed structure (SSS) is a significant source of error. The open-source software GARPOS can reduce the effect from underwater gradient structures by retrieving the underwater disturbance as a parameter projected onto the sea surface and seafloor. To evaluate the effects of underwater disturbances, a quantitative comparison of the model parameters is necessary. In this study, we developed a representation method to evaluate features of the ocean field. Here, the expression method was described in the order of a formulation and an interpretation in the case of a 2-D cross-section and extension to the case of an actual 3-D field. This method makes it possible to evaluate SSS states in the GNSS-A observations. As an example, we showed the correlation between the anomaly of the expressed ocean state and the anomaly of the seafloor station position, showing that this expression method is an effective index for correcting bias errors. Additionally, we used the data from sites located in the Kuroshio area, a strong current near Japan, to show that the ocean state can be quantitatively interpreted using this expression method.

Funder

Environmental Resilience Institute, Indiana University

University of Tokyo

Secom Science and Technology Foundation

Japan Society for the Promotion of Science London

Publisher

Oxford University Press (OUP)

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