Impacts of Temperature Measurements From Sea Turtles on Seasonal Prediction Around the Arafura Sea
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 exper...
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Frontiers Media S.A.
2019-12-01
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| Series: | Frontiers in Marine Science |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fmars.2019.00719/full |
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doaj-4e2980a2e1ba4f3d8ae753aac4fdeb362020-11-25T01:38:30ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452019-12-01610.3389/fmars.2019.00719486609Impacts of Temperature Measurements From Sea Turtles on Seasonal Prediction Around the Arafura SeaTakeshi Doi0Andrea Storto1Andrea Storto2Takuya Fukuoka3Hiroyuki Suganuma4Katsufumi Sato5Japan Agency for Marine-Earth Science and Technology, Yokohama, JapanCentre for Maritime Research and Experimentation (CMRE), La Spezia, ItalyCentro Euro-Mediterraneo per i Cambiamenti Climatici, Bologna, ItalyAtmosphere and Ocean Research Institute, The University of Tokyo, Chiba, JapanEverlasting Nature of Asia (ELNA), Yokohama, JapanAtmosphere and Ocean Research Institute, The University of Tokyo, Chiba, JapanIn 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.https://www.frontiersin.org/article/10.3389/fmars.2019.00719/fullseasonal predictionmarine animal-borne instrumentssea turtlesocean observing system experimentbiologging |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Takeshi Doi Andrea Storto Andrea Storto Takuya Fukuoka Hiroyuki Suganuma Katsufumi Sato |
| spellingShingle |
Takeshi Doi Andrea Storto Andrea Storto Takuya Fukuoka Hiroyuki Suganuma Katsufumi Sato Impacts of Temperature Measurements From Sea Turtles on Seasonal Prediction Around the Arafura Sea Frontiers in Marine Science seasonal prediction marine animal-borne instruments sea turtles ocean observing system experiment biologging |
| author_facet |
Takeshi Doi Andrea Storto Andrea Storto Takuya Fukuoka Hiroyuki Suganuma Katsufumi Sato |
| author_sort |
Takeshi Doi |
| title |
Impacts of Temperature Measurements From Sea Turtles on Seasonal Prediction Around the Arafura Sea |
| title_short |
Impacts of Temperature Measurements From Sea Turtles on Seasonal Prediction Around the Arafura Sea |
| title_full |
Impacts of Temperature Measurements From Sea Turtles on Seasonal Prediction Around the Arafura Sea |
| title_fullStr |
Impacts of Temperature Measurements From Sea Turtles on Seasonal Prediction Around the Arafura Sea |
| title_full_unstemmed |
Impacts of Temperature Measurements From Sea Turtles on Seasonal Prediction Around the Arafura Sea |
| title_sort |
impacts of temperature measurements from sea turtles on seasonal prediction around the arafura sea |
| publisher |
Frontiers Media S.A. |
| series |
Frontiers in Marine Science |
| issn |
2296-7745 |
| publishDate |
2019-12-01 |
| description |
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. |
| topic |
seasonal prediction marine animal-borne instruments sea turtles ocean observing system experiment biologging |
| url |
https://www.frontiersin.org/article/10.3389/fmars.2019.00719/full |
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