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Lee-Lueng Fu

wind stress data were obtained from the European Remote Sensing Satellite (ERS) radar scatterometers ( Quilfen et al. 1999 ). The wind velocity observations from the scatterometers’ 50-km-resolution cells were first converted into wind stress and then mapped to weekly 1° × 1° grids using an objective analysis technique ( Bentamy et al. 1996 ). The data coverage spans 1991–2000. The SSH data were obtained from the T/P and Jason radar altimeters with data coverage spanning 1993–2004. The T/P data

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D. Roemmich, J. Gilson, R. Davis, P. Sutton, S. Wijffels, and S. Riser

of high-precision altimetric height data from 1993 to 2004. In Fig. 1 the time mean altimetric height for each 2-yr interval is plotted as the difference from the initial 2-yr mean, 1993–94. These figures use the altimetric height product by the Archiving, Validation and Interpretation of Satellite Oceanographic Data Project (AVISO; Ducet et al. 2000 ), which merges Ocean Topography Experiment (TOPEX)/Poseidon and European Remote Sensing Satellite (ERS) series altimeter data for improved

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Rui M. Ponte and Sergey V. Vinogradov

forcing amplitudes that barely exceed 1 hPa for both S 1 and S 2 and are largest in equatorial regions ( Ray and Ponte 2003 ). Our solutions are qualitatively similar to those of Arbic (2005) and Ray and Egbert (2004) , reproducing most of the patterns of high and low amplitudes and the propagation and amphidromic point structures in phase. Exceptions occur in regions that are poorly resolved in our model, such as the North Sea and European shelf regions or the Indonesian seas, and regions near

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Victor Zlotnicki, John Wahr, Ichiro Fukumori, and Yuhe T. Song

“entirely encircling the Antarctic continent” shows the strongest (negative) correlation (>90%) with transport changes across Drake Passage, while the BP most anywhere north of the current had zero correlation with the transport; the SSP to the north has a weaker positive correlation, and to the south it has a strong negative correlation, but it is not as clear and widespread as that for the BP. Hughes et al. (1999) used European Centre for Medium-Range Weather Forecasts (ECMWF) wind stress and wind

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Serguei Sokolov and Stephen R. Rintoul

fronts south of Australia and New Zealand in the region between 100°E and 180°. Specifically, we used the Collecte, Localisation, Satellites (CLS)/Archiving, Validation, and Interpretation of Satellite Oceanographic Data (AVISO) “Mean Sea Level Anomaly” (MSLA) maps, which are produced by mapping data from the Ocean Topography Experiment (TOPEX)/Poseidon (T/P), European Remote-Sensing Satellites 1 and 2 ( ERS-1 and ERS-2 ) altimeters ( Le Traon et al. 1998 ). The combination of T/P and ERS data

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A. Köhl, D. Stammer, and B. Cornuelle

climatological monthly T and S fields (i.e., averages of all model Januarys, Februarys, etc.), δ T 0 and δ S 0 are changes in the initial conditions, and the remaining δ terms represent 2-day averages of the surface flux fields. The terms T , S , and with the subscripts “first” and “last” are annual mean values over the respective years. The T/P and European Remote Sensing Satellite (ERS) altimeter anomalies are evaluated on a daily basis with along-track data averaged over 1° grid cells, and

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