Articles | Volume 11, issue 5
https://doi.org/10.5194/os-11-839-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/os-11-839-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
On the observability of turbulent transport rates by Argo: supporting evidence from an inversion experiment
G. Forget
CORRESPONDING AUTHOR
Dept. of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
D. Ferreira
Dept. of Meteorology, University of Reading, Reading, UK
X. Liang
Dept. of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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Spatial scales of temperature and salinity variability estimated from Argo observations
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Viktor Gouretski
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Argo floats are one of the main components of the in situ observation network in the ocean. Nowadays, more than 3500 profiling floats are sampling the world ocean. In this study, they are used to characterize spatial scales of temperature and salinity variations from the surface down to 1500m. The scales appear to be anisotropic and vary from about 100km at high latitudes to 700km in the Indian and Pacific equatorial and tropical regions.
L. Cheng, J. Zhu, and R. L. Sriver
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1. Argo floats were used to examine tropical cyclone (TC) induced ocean thermal changes on the global scale by comparing temperature profiles before and after TC passage.
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K. von Schuckmann and P.-Y. Le Traon
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S. Kizu, C. Sukigara, and K. Hanawa
Ocean Sci., 7, 231–244, https://doi.org/10.5194/os-7-231-2011, https://doi.org/10.5194/os-7-231-2011, 2011
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Short summary
Results from the ECCO v4 ocean state estimate identify the constraint of fitting Argo profiles as an effective observational basis for inverse estimation of regional turbulent transport rates. The estimated parameters' geography is physically plausible and exhibits close connections with the observed upper-ocean stratification. They yield a clear reduction in the model drift away from observations over multi-century-long simulations, including for independent biochemistry variables.
Results from the ECCO v4 ocean state estimate identify the constraint of fitting Argo profiles...