Artificial Neural Network Predictions of Water Levels in a Gulf of Mexico Shallow Embayment
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) standards. Wind forcing has been recognized as the main variable not include...
Main Authors: | Zack Bowles, Philippe E. Tissot Tissot, Patrick Michaud, Alexey Sadovski |
---|---|
Format: | Article |
Language: | English |
Published: |
Universidad de Costa Rica
2012-03-01
|
Series: | Revista de Matemática: Teoría y Aplicaciones |
Online Access: | https://revistas.ucr.ac.cr/index.php/matematica/article/view/258 |
Similar Items
-
Comparison of Gap Interpolation Methodologies for water Level time Series using perl/pdl
by: Aimee Mostella, et al.
Published: (2012-03-01) -
Influence of Loop Current and eddy shedding on subseasonal sea level variability along the western Gulf Coast
by: Toshiaki Shinoda, et al.
Published: (2023-01-01) -
Tidal velocity asymmetries and bedload transport in shallow embayments
by: Fry, Virginia Ann
Published: (2010) -
Environmental Impact of Sewage Discharge on Shallow Embayment and Mapping of Microbial Indicators
by: Mohamad A. Alkhalidi, et al.
Published: (2022-06-01) -
Sentinel-1 InSAR-derived land subsidence assessment along the Texas Gulf Coast
by: Xiaojun Qiao, et al.
Published: (2023-12-01)