Temperature profiling measurements by sea turtles improve ocean state estimation in the Kuroshio-Oyashio Confluence region

Miyazawa, Yasumasa; Kuwano-Yoshida, Akira; Doi, Takeshi; Nishikawa, Hatsumi; Narazaki, Tomoko; Fukuoka, Tatsunari; Sato, Katsufumi

doi:10.1007/s10236-018-1238-5

Cited by 50 publications

(40 citation statements)

References 28 publications

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“…Loggerhead turtles, for example, favor waters warmer than 15 • C, which corresponds to the northern edge of the Kuroshio and its extension near the surface in winter. A feasibility study for data assimilation of temperature measurements by the turtles suggests that the turtle measurements captured the warm core rings separating from the Kuroshio Extension better than the Oyashio intrusion branches (Miyazawa et al, 2019). The improved ocean representation of such features may allow for better EC forecast through a more accurate simulation of air-sea interaction fluxes associated with these warm ocean rings and meanders.…”

Section: Development Of Biologging As An Ocean Observation Platform Fmentioning

confidence: 99%

Ocean Observations in Support of Studies and Forecasts of Tropical and Extratropical Cyclones

et al. 2019

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Over the past decade, measurements from the climate-oriented ocean observing system have been key to advancing the understanding of extreme weather events that originate and intensify over the ocean, such as tropical cyclones (TCs) and extratropical bomb cyclones (ECs). In order to foster further advancements to predict and better understand these extreme weather events, a need for a dedicated observing system component specifically to support studies and forecasts of TCs and ECs has been identified, but such a system has not yet been implemented. New technologies, pilot networks, targeted deployments of instruments, and state-of-the art coupled numerical models have enabled advances in research and forecast capabilities and illustrate a potential framework for future development. Here, applications and key results made possible by the different ocean observing efforts in support of studies and forecasts of TCs and ECs, as well as recent advances in observing technologies and strategies are reviewed. Then a vision and specific recommendations for the next decade are discussed.

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Section: Development Of Biologging As An Ocean Observation Platform Fmentioning

confidence: 99%

Ocean Observations in Support of Studies and Forecasts of Tropical and Extratropical Cyclones

et al. 2019

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“…The quality of the temperature profile data captured by sea turtles was discussed and compared to the other in situ data of the Global Temperature and Salinity Profile Program (GTSPP) by Miyazawa et al (2019). Although it was difficult to match up the sampling positions and times of the two data sources exactly, the aforementioned study checked the dependency of their mutual consistency as a function of the horizontal distance between them.…”

Section: Discussionmentioning

confidence: 99%

“…The first use of marine mammal data in operational oceanography dates back to 2004 (see Boehme et al, 2009). Previous studies also demonstrated the benefit of marine animal-borne instruments in ocean analysis, reanalysis, and nowcast/forecast systems (Roquet et al, 2013;Carse et al, 2015;Miyazawa et al, 2015Miyazawa et al, , 2019Mallett et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Impacts of Temperature Measurements From Sea Turtles on Seasonal Prediction Around the Arafura Sea

et al. 2019

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In this work, we added the assimilation of subsurface temperature measurements obtained from sea turtles around the Arafura Sea from June to October 2017 into an operational seasonal prediction system. The impact of these measurements was explored by conducting so-called ocean observing system experiments. It was found that the prediction of regional sea surface temperatures around the Arafura Sea was significantly improved at 3-4 months of lead time. The results also showed that the addition of temperature measurements from sea turtles into the existing Global Ocean Observing System (including satellites, mooring buoys, ships, and profiling floats) may open a new door to improving regional seasonal prediction through better representation of the initial state of the upper ocean.

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“…JCOPE2M is a new ocean reanalysis data that is an advanced version of JCOPE2 used in our previous studies . JCOPE2M is a data targeting the northwestern Pacific Ocean, produced by assimilating satellite and in-situ observation data to an ocean model using a multi-scale three-dimensional variational scheme (Miyazawa et al, 2017;Miyazawa et al, 2019). The model is based on the Princeton Ocean Model, with a horizontal resolution of 1/12 degrees.…”

Section: Comparison With Jcope2m Reanalysismentioning

confidence: 99%

Kilometer-scale sound speed structure that affects GNSS-A observation: Case study off the Kii channel

Yokota¹,

Ishikawa²,

Watanabe³

et al. 2020

Preprint

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The Global Navigation Satellite System-Acoustic ranging combination technique (GNSS-A) is a recently developed technology to precisely detect seafloor crustal deformation. This method can also estimate km-scale underwater sound speed structure (SSS) as a by-product of monitoring seafloor crustal deformation. This paper evaluates the validity of the spatial gradient and its temporal variation of the SSS estimated by GNSS-A observations off the Kii channel before and after Kuroshio meandering. According to the comparison of the JCOPE2M reanalysis data and the in-situ observation data, the GNSS-A estimated SSS has local structures that are not reproduced in the reanalysis. In addition, we investigate the effect of observation time on the stability of SSS estimation. The results suggest that the sufficient time required for stable estimation depends on the spatial coverage of observation data, which depends on the depth of the site. As a result, the time resolution was derived to be about one hour at a site whose depth is 1500 m.

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Temperature profiling measurements by sea turtles improve ocean state estimation in the Kuroshio-Oyashio Confluence region

Cited by 50 publications

References 28 publications

Ocean Observations in Support of Studies and Forecasts of Tropical and Extratropical Cyclones

Ocean Observations in Support of Studies and Forecasts of Tropical and Extratropical Cyclones

Impacts of Temperature Measurements From Sea Turtles on Seasonal Prediction Around the Arafura Sea

Kilometer-scale sound speed structure that affects GNSS-A observation: Case study off the Kii channel

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