Analysis and Modeling of Ocean Acoustic Fluctuations and Moored Observations of Philippine Sea Sound-Speed Structure

2011 ◽  
Author(s):  
John A. Colosi
Keyword(s):  
Sound Speed ◽  
Philippine Sea ◽  
Acoustic Fluctuations ◽  
Sound Speed Structure

Observations of thermohaline sound speed structure in the Beaufort Sea in the summer of 2015

2015 ◽  
Vol 138 (3) ◽  
pp. 1743-1743
Author(s):  
Dominic DiMaggio ◽  
Annalise Pearson ◽  
John A. Colosi
Keyword(s):  
Sound Speed ◽  
Beaufort Sea ◽  
Sound Speed Structure

Observations of sound-speed fluctuations in the western Philippine Sea in the spring of 2009

2013 ◽  
Vol 134 (4) ◽  
pp. 3185-3200 ◽  
Author(s):  
John A. Colosi ◽  
Lora J. Van Uffelen ◽  
Bruce D. Cornuelle ◽  
Matthew A. Dzieciuch ◽  
Peter F. Worcester ◽  
...  
Keyword(s):  
Sound Speed ◽  
Philippine Sea ◽  
Speed Fluctuations ◽  
Western Philippine Sea

scholarly journals GARPOS: Analysis Software for the GNSS‐A Seafloor Positioning With Simultaneous Estimation of Sound Speed Structure

2020 ◽  
Vol 8 ◽  
Author(s):  
Shun-ichi Watanabe ◽  
Tadashi Ishikawa ◽  
Yusuke Yokota ◽  
Yuto Nakamura
Keyword(s):  
Sound Speed ◽  
Empirical Bayes ◽  
Information Criterion ◽  
Satellite System ◽  
Observation Equation ◽  
Simultaneous Estimation ◽  
Acoustic Ranging ◽  
Observation Network ◽  
Sound Speed Structure ◽  
Global Navigation Satellite

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).

Space‐time scales of sound‐speed perturbations observed in the Philippine Sea: Contributions from internal waves and tides, eddies, and spicy thermohaline structure.

2010 ◽  
Vol 128 (4) ◽  
pp. 2386-2386
Author(s):  
John A. Colosi ◽  
Brian Dushaw ◽  
Rex K. Andrew ◽  
Lora J. Van Effelen ◽  
Matthew A. Dzieciuch ◽  
...  
Keyword(s):  
Time Scales ◽  
Internal Waves ◽  
Sound Speed ◽  
Space Time ◽  
Thermohaline Structure ◽  
Philippine Sea ◽  
Waves And Tides

Observations of Philippine Sea sound-speed perturbations, and the contributions from internal waves and tides, and spicy thermohaline structure

2011 ◽  
Vol 130 (4) ◽  
pp. 2556-2556
Author(s):  
John Colosi ◽  
Brian Dushaw ◽  
Lora Van Uffelen ◽  
Matt Dzieciuch ◽  
Bruce Cornuelle ◽  
...  
Keyword(s):  
Internal Waves ◽  
Sound Speed ◽  
Thermohaline Structure ◽  
Philippine Sea ◽  
Waves And Tides
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