GARPOS: Analysis Software for the GNSS‐A Seafloor Positioning With Simultaneous Estimation of Sound Speed Structure
Global Navigation Satellite System–Acoustic ranging combined seafloor geodetic technique (GNSS-A) has extended the geodetic observation network into the ocean. The key issue for analyzing the GNSS-A data is how to correct the effect of sound speed variation in the seawater. We constructed a generali...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-11-01
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| Series: | Frontiers in Earth Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2020.597532/full |
| _version_ | 1830137108394672128 |
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| author | Shun-ichi Watanabe Tadashi Ishikawa Yusuke Yokota Yuto Nakamura |
| author_facet | Shun-ichi Watanabe Tadashi Ishikawa Yusuke Yokota Yuto Nakamura |
| author_sort | Shun-ichi Watanabe |
| collection | DOAJ |
| description | Global Navigation Satellite System–Acoustic ranging combined seafloor geodetic technique (GNSS-A) has extended the geodetic observation network into the ocean. The key issue for analyzing the GNSS-A data is how to correct the effect of sound speed variation in the seawater. We constructed a generalized observation equation and developed a method to directly extract the gradient sound speed structure by introducing appropriate statistical properties in the observation equation, especially the data correlation term. In the proposed scheme, we calculate the posterior probability based on the empirical Bayes approach using the Akaike’s Bayesian Information Criterion for model selection. This approach enabled us to suppress the overfitting of sound speed variables and thus to extract simpler sound speed field and stable seafloor positions from the GNSS-A dataset. The proposed procedure is implemented in the Python-based software “GARPOS” (GNSS-Acoustic Ranging combined POsitioning Solver). |
| first_indexed | 2024-12-17T08:04:06Z |
| format | Article |
| id | doaj.art-4e81489d69694fa1a79a9ae7d2a96a98 |
| institution | Directory Open Access Journal |
| issn | 2296-6463 |
| language | English |
| last_indexed | 2024-12-17T08:04:06Z |
| publishDate | 2020-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Earth Science |
| spelling | doaj.art-4e81489d69694fa1a79a9ae7d2a96a982022-12-21T21:57:27ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632020-11-01810.3389/feart.2020.597532597532GARPOS: Analysis Software for the GNSS‐A Seafloor Positioning With Simultaneous Estimation of Sound Speed StructureShun-ichi Watanabe0Tadashi Ishikawa1Yusuke Yokota2Yuto Nakamura3Hydrographic and Oceanographic Department, Japan Coast Guard, Tokyo, JapanHydrographic and Oceanographic Department, Japan Coast Guard, Tokyo, JapanInstitute of Industrial Science, University of Tokyo, Tokyo, JapanHydrographic and Oceanographic Department, Japan Coast Guard, Tokyo, JapanGlobal Navigation Satellite System–Acoustic ranging combined seafloor geodetic technique (GNSS-A) has extended the geodetic observation network into the ocean. The key issue for analyzing the GNSS-A data is how to correct the effect of sound speed variation in the seawater. We constructed a generalized observation equation and developed a method to directly extract the gradient sound speed structure by introducing appropriate statistical properties in the observation equation, especially the data correlation term. In the proposed scheme, we calculate the posterior probability based on the empirical Bayes approach using the Akaike’s Bayesian Information Criterion for model selection. This approach enabled us to suppress the overfitting of sound speed variables and thus to extract simpler sound speed field and stable seafloor positions from the GNSS-A dataset. The proposed procedure is implemented in the Python-based software “GARPOS” (GNSS-Acoustic Ranging combined POsitioning Solver).https://www.frontiersin.org/articles/10.3389/feart.2020.597532/fullGNSS-Aseafloor geodesysound speed structureGNSS-A methodologyGNSS-A oceanography |
| spellingShingle | Shun-ichi Watanabe Tadashi Ishikawa Yusuke Yokota Yuto Nakamura GARPOS: Analysis Software for the GNSS‐A Seafloor Positioning With Simultaneous Estimation of Sound Speed Structure Frontiers in Earth Science GNSS-A seafloor geodesy sound speed structure GNSS-A methodology GNSS-A oceanography |
| title | GARPOS: Analysis Software for the GNSS‐A Seafloor Positioning With Simultaneous Estimation of Sound Speed Structure |
| title_full | GARPOS: Analysis Software for the GNSS‐A Seafloor Positioning With Simultaneous Estimation of Sound Speed Structure |
| title_fullStr | GARPOS: Analysis Software for the GNSS‐A Seafloor Positioning With Simultaneous Estimation of Sound Speed Structure |
| title_full_unstemmed | GARPOS: Analysis Software for the GNSS‐A Seafloor Positioning With Simultaneous Estimation of Sound Speed Structure |
| title_short | GARPOS: Analysis Software for the GNSS‐A Seafloor Positioning With Simultaneous Estimation of Sound Speed Structure |
| title_sort | garpos analysis software for the gnss a seafloor positioning with simultaneous estimation of sound speed structure |
| topic | GNSS-A seafloor geodesy sound speed structure GNSS-A methodology GNSS-A oceanography |
| url | https://www.frontiersin.org/articles/10.3389/feart.2020.597532/full |
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