Sea Surface Temperature Patterns on the West Florida Shelf Using Growing Hierarchical Self-Organizing Maps

@inproceedings{Liu2006SeaST,
  title={Sea Surface Temperature Patterns on the West Florida Shelf Using Growing Hierarchical Self-Organizing Maps},
  author={Yonggang Liu and Robert H. Weisberg},
  year={2006}
}
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 two transitional patterns. Three of them are further expanded in the second layer, yielding more… CONTINUE READING

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