This paper proposes an extension of the Weighted Ensemble Kalman filter (WEnKF) proposed by Papadakis et al. (2010) for the assimilation of image observations. The main contribution of this paper consists in a novel formulation of the Weighted filter with the Ensemble Transform Kalman filter (WETKF) incorporating directly as a measurement model a nonlinear image reconstruction criterion. This t...

The West Florida Shelf (WFS) is a broad, gently sloping continental margin that is influenced by the Gulf of Mexico Loop Current system located seaward of the shelf break (Molinari et al., 1977; Huh et al., 1981; Paluszkiewicz et al., 1983; He and Weisberg, 2003; Weisberg and He, 2003) and by local wind and buoyancy forcing, including the fresh water of the Mississippi River, generally found at...

This work presents EddyNet, a deep learning based architecture for automated eddy detection and classification from Sea Surface Height (SSH) maps provided by the Copernicus Marine and Environment Monitoring Service (CMEMS). EddyNet consists of a convolutional encoder-decoder followed by a pixelwise classification layer. The output is a map with the same size of the input where pixels have the f...

A new machine learning approach is presented for automatic detection of Mediterranean water eddies from sea surface temperature maps of the Atlantic Ocean. A pre-processing step uses Laws’ convolution kernels to reveal microstructural patterns of water temperature. Given a map point, a numerical vector containing information on local structural properties is generated. This vector is forwarded ...

Neural network analyses based on the self-organizing map (SOM) and the growing hierarchical selforganizing map (GHSOM) are used to examine patterns of the sea surface temperature (SST) variability on the West Florida Shelf from time series of daily SST maps from 1998 to 2002. Four characteristic SST patterns are extracted in the first-layer GHSOM array: winter and summer season patterns, and tw...

Arctic sea ice motion for the period from October 1999 to March 2000 derived from QuikSCAT and special sensor microwave/imager (SSM/I) data using the wavelet analysis method agrees well with ocean buoy observations. Results from QuikSCAT and SSM/I are compatible when compared with buoy observations and complement each other. Sea ice drift merged from daily results from QuikSCAT, SSM/I, and buoy...