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Comparison of Gap Interpolation Methodologies for water Level time Series using perl/pdl
Comparison of Gap Interpolation Methodologies for water Level time Series using perl/pdl
(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 ...
Artificial Neural Network Predictions of Water Levels in a Gulf of Mexico Shallow Embayment
Artificial Neural Network Predictions of Water Levels in a Gulf of Mexico Shallow Embayment
(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) ...