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A Global Evaluation Of Ocean Bottom Pressure From Grace, Omct, And Steric-Corrected Altimetry, D. Chambers, Josh K. Willis
A Global Evaluation Of Ocean Bottom Pressure From Grace, Omct, And Steric-Corrected Altimetry, D. Chambers, Josh K. Willis
Marine Science Faculty Publications
Ocean bottom pressure (OBP) from the Gravity Recovery and Climate Experiment (GRACE) and the Ocean Model for Circulation and Tides (OMCT) are compared globally with OBP computed from altimetry corrected for steric variations from Argo floats from January 2005 to December 2007. Two methods of smoothing the GRACE data are examined. The first uses a standard Gaussian smoother with a radius of 300 km. The second method projects those smoothed maps onto empirical orthogonal functions derived from OMCT in a least squares estimation in order to produce maps that better agree with the physical processes embodied by the model. These …
Multivariate Reconstruction Of Missing Data In Sea Surface Temperature, Chlorophyll, And Wind Satellite Fields, Aida Alvera-Azcarate, Alexander Barth, J. M. Beckers, Robert H. Weisberg
Multivariate Reconstruction Of Missing Data In Sea Surface Temperature, Chlorophyll, And Wind Satellite Fields, Aida Alvera-Azcarate, Alexander Barth, J. M. Beckers, Robert H. Weisberg
Marine Science Faculty Publications
An empirical orthogonal function–based technique called Data Interpolating Empirical Orthogonal Functions (DINEOF) is used in a multivariate approach to reconstruct missing data. Sea surface temperature (SST), chlorophyll a concentration, and QuikSCAT winds are used to assess the benefit of a multivariate reconstruction. In particular, the combination of SST plus chlorophyll, SST plus lagged SST plus chlorophyll, and SST plus lagged winds have been studied. To assess the quality of the reconstructions, the reconstructed SST and winds have been compared to in situ data. The combination of SST plus chlorophyll, as well as SST plus lagged SST plus chlorophyll, significantly improves …
Patterns Of Ocean Current Variability On The West Florida Shelf Using The Self-Organizing Map, Yonggang Liu, Robert H. Weisberg
Patterns Of Ocean Current Variability On The West Florida Shelf Using The Self-Organizing Map, Yonggang Liu, Robert H. Weisberg
Marine Science Faculty Publications
Patterns of ocean current variability are examined on the West Florida Shelf by a neural network analysis based on the self‐organizing map (SOM), using time series of moored velocity data that span the interval October 1998–September 2001. Three characteristic spatial patterns are extracted in a 3 × 4 SOM array: spatially coherent southeastward and northwestward flow patterns with strong currents and a transition pattern of weak currents. On the synoptic weather timescale the variations of these patterns are coherent with the local winds. On the seasonal timescale the variations of the patterns are coherent with both the local winds and …