Now showing items 1-4 of 4

    • Artificial Neural Network Predictions of Water Levels in a Gulf of Mexico Shallow Embayment 

      Bowles, Zack; Tissot, Philippe E. Tissot; Michaud, Patrick; Sadovski, Alexey (2012-03-01)
      Tide tables are the method of choice for water level predictions in most coastal regions. However, for many locations along the coast of the Gulf of Mexico, tide tables do not meet United States National Ocean Service (NOS) ...
    • Comparison of Gap Interpolation Methodologies for water Level time Series using perl/pdl 

      Mostella, Aimee; Sadovski, Alexey; Duff, Scott; Michaud, Patrick; Tissot, Philippe E. Tissot; Steidley, Carl W. (2012-03-02)
      Extensive time series of measurements are often essential to evaluate long term changes and averages such as tidal datums and sea level rises. As such, gaps in time series data restrict the type and extent of modeling and ...
    • Program Implementation of the Rating Methods of Preference Ranking 

      Torres, Kelly; Sadovski, Alexey; Steidley, Carl W. (2012-03-02)
      Tide charts, based upon harmonic analysis, is the general method of choice for predicting water levels. In the shallow waters of the Gulf of Mexico, however, tide charts are woefully inadequate for the prediction of water ...
    • Supplemental data acquisition tools for modeling environmental systems 

      Steidley, Carl W.; Bachnak, Rafic; Sadovski, Alexey (2009-02-20)
      The goal of our on-going research is to develop effective and reliable tools formodeling the environmental systems of the Gulf of Mexico. For example, our on-goingresearch into methodologies for the prediction of water ...