Date of Award


Document Type


Degree Name

Master of Science (MS)


Ocean Engineering and Marine Sciences

First Advisor

Robert J. Weaver

Second Advisor

Steven M. Lazarus

Third Advisor

Stephen L. Wood

Fourth Advisor

Richard B. Aronson


Within a restricted estuarine environment, the use of third-generation wave models for predicting wave heights can be computationally expensive, signaling a need for model development that reduces the computational costs of existing coupled hydrodynamic models. This study focuses on the development and testing of a parametric wave solver that incorporates four wave height formulations (SMB, SPM, TMA, and CEM) for predicting wave properties in a restricted estuarine environment. The emphasis is on improved efficiency without affecting accuracy, allowing for ensemble wave-surge forecasting to be performed on desktop computational resources. Evaluation of the performance of the parametric solver is twofold, first both the parametric solver and a third-generation wave model, Simulating Waves Nearshore (SWAN), are compared to in-situ ADCP data at a point in the Indian River Lagoon, on Florida’s east coast. Then the parametric solver and SWAN solutions are compared across the estuarine domain. The creation of three different synthetic wind fields allows for model comparison, with wind fields permitting testing of the parametric model in order to reproduce (1) fully developed conditions, (2) wind speed variability, and (3) wind direction variability in tropical storm level wind events. For consistency comparison, wave height solutions over the same domain are generated by SWAN and the parametric models. Comparisons made between the parametric model performance and SWAN show a 4-member parametric model is accurate to within 87% globally, with a runtime improvement of over two orders of magnitude compared to SWAN. The parametric model’s ensemble average wave height was within 6% of the in-situ measured wave heights; SWAN also performed within 6%. Therefore, the parametric wave model proves to be a viable alternative to running an expensive third-generation wave model for predicting waves in an enclosed estuarine system.

SWAN_theta_U_30_Hs.txt (80222 kB)
SWAN_sin_U_30_Hs.txt (80222 kB)
SWAN_const_U_30_Hs.txt (80222 kB)
INPUT (3 kB)
DS_v7.cpp (11 kB)
wind_gen2.cpp (7 kB)
SWAN_theta_U_30.22 (71804 kB)
SWAN_sin_U_30.22 (43206 kB)
SWAN_const_U_30.22 (22284 kB)
param_wave.cpp (22 kB)
avg_modify.cpp (14 kB)
pre_proc.cpp (44 kB)
fort.14 (15109 kB)
Read me (12 kB)