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Barth Alexander Troupin Charles Reyes Emma Alvera-Azcárate Aida Beckers Jean-Marie Tintoré Joaquín 《Ocean Dynamics》2021,71(3):293-308
Ocean Dynamics - DIVAnd (Data-Interpolating Variational Analysis, in n-dimensions) is a tool to interpolate observations on a regular grid using the variational inverse method. We have extended... 相似文献
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Comparison between satellite and in situ sea surface temperature data in the Western Mediterranean Sea 总被引:1,自引:1,他引:0
Aida Alvera-Azcárate Charles Troupin Alexander Barth Jean-Marie Beckers 《Ocean Dynamics》2011,61(6):767-778
A comparison between in situ and satellite sea surface temperature (SST) is presented for the Western Mediterranean Sea during
1999. Several international databases are used to extract in situ data (World Ocean Database, MEDAR/Medatlas, Coriolis Data
Center, International Council for the Exploration of the Sea and International Comprehensive Ocean-Atmosphere Data Set). The
in situ data are classified into different platforms or sensors (conductivity–temperature–depth, expendable bathythermographs,
drifters, bottles, and ships), in order to assess the relative accuracy of these type of data with respect to Advanced Very
High Resolution Radiometer SST satellite data. It is shown that the results of the error assessment vary with the sensor type,
the depth of the in situ measurements, and the database used. Ship data are the most heterogeneous data set, and therefore
present the largest differences with respect to in situ data. A cold bias is detected in drifter data. The differences between
satellite and in situ data are not normally distributed. However, several analysis techniques, as merging and data assimilation,
usually require Gaussian-distributed errors. The statistics obtained during this study will be used in future work to merge
the in situ and satellite data sets into one unique estimation of the SST. 相似文献
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Ananda Pascual Arancha Lana Charles Troupin Simón Ruiz Yannice Faugère Romain Escudier 《Marine Geodesy》2015,38(3):260-276
We present an initial assessment of SARAL/AltiKa data in the coastal band. The study focuses on the Ibiza Channel where the north-south water exchanges play a key role in controlling the circulation variability in the western Mediterranean. In this area, the track 16 of SARAL/AltiKa intercepts the domain covered by a coastal high-frequency (HF) radar system, which provides surface currents with a range up to 60 km. We evaluate the performance of the SARAL/AltiKa Ssalto/Duacs delayed-time along-track products compared to the HF radar surface velocity fields. SARAL/AltiKa data are retrieved at a distance of only 7 km from the coast, putting in evidence the emerging capabilities of the new altimeter. The derived velocities resolved the general features of the seasonal mesoscale variability with reasonable agreement with HF radar fields (significant correlations of 0.54). However, some discrepancies appear, which might be caused by instrumental hardware radar errors, ageostrophic velocities as well as inaccurate corrections and editing in the altimeter data. Root mean square (rms) differences between the estimated SARAL/AltiKa and the HF radar velocities are about 13 cm/s. These results are consistent with recent studies in other parts of the ocean applying similar approaches to Topex/Poseidon and Jason-1 missions and using coastal altimeter corrections. 相似文献
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