Articles | Volume 12, issue 1
https://doi.org/10.5194/os-12-1-2016
© Author(s) 2016. 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-12-1-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Spatial scales of temperature and salinity variability estimated from Argo observations
F. Ninove
Ifremer, Technopole Brest Iroise, Z.I. de la Pointe du Diable, 29280 Plouzané, France
Mercator Ocean, Parc technologique du Canal, 8–10 rue Hermès, 31520 Ramonville-Saint-Agne, France
P.-Y. Le Traon
CORRESPONDING AUTHOR
Ifremer, Technopole Brest Iroise, Z.I. de la Pointe du Diable, 29280 Plouzané, France
Mercator Ocean, Parc technologique du Canal, 8–10 rue Hermès, 31520 Ramonville-Saint-Agne, France
E. Remy
Mercator Ocean, Parc technologique du Canal, 8–10 rue Hermès, 31520 Ramonville-Saint-Agne, France
S. Guinehut
CLS, Parc Technologique du Canal, 8–10 rue Hermès, 31520 Ramonville-Saint-Agne, France
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Mounir Benkiran, Pierre-Yves Le Traon, and Gérald Dibarboure
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The SSH analysis and 7 d forecast error will be globally reduced by almost 50 %. Surface current forecast errors should be equivalent to today’s surface current analysis errors or alternatively will be improved (variance error reduction) by 30 % at the surface and 50 % for 300 m depth.
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Antonio Bonaduce, Mounir Benkiran, Elisabeth Remy, Pierre Yves Le Traon, and Gilles Garric
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Approach: In situ Observations | Depth range: All Depths | Geographical range: All Geographic Regions | Phenomena: Temperature, Salinity and Density Fields
The CORA 5.2 dataset for global in situ temperature and salinity measurements: data description and validation
World Ocean Circulation Experiment – Argo Global Hydrographic Climatology
How essential are Argo observations to constrain a global ocean data assimilation system?
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Tanguy Szekely, Jérôme Gourrion, Sylvie Pouliquen, and Gilles Reverdin
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This study is an attempt to validate the quality of a global temperature and salinity dataset by estimating the effects of measurement errors on the estimated ocean variability. The study shows that the effects of the measurement errors decrease during the quality control process and are almost null for the delayed-time-mode quality-controlled dataset.
Viktor Gouretski
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The new gridded WOCE-Argo Global Hydrographic Climatology (WAGHC) is described and compared with the NOAA WOA13 atlas. The monthly fields of temperature and salinity for 65 depth levels have a 1/4° spatial resolution. Two versions of the climatology were produced and differ with respect to the spatial interpolation performed on isobaric or isopycnal surfaces, respectively. The climatology characterizes the thermohaline state of the world ocean for the time period from 2008 to 2012.
V. Turpin, E. Remy, and P. Y. Le Traon
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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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S.-Q. Zhou, L. Qu, Y.-Z. Lu, and X.-L. Song
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Short summary
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.
Argo floats are one of the main components of the in situ observation network in the ocean....