2010
DOI: 10.30638/eemj.2010.076
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Modelling Wind Waves in the Romanian Coastal Environment

Abstract: The present work presents a SWAN model (Simulating Waves Nearshore) implementation focused on the nearshore of the Black Sea Western coast. The global implementation of the SWAN model, previously calibrated for the entire Black Sea basin, is used as driver. A first area of medium resolution, that covers all the West coast of the sea, is nested into the global model. The wave observations made at the Gloria drilling unit, located in the central part of the area was considered as a check point, both for the wind… Show more

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Cited by 11 publications
(7 citation statements)
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“…However, resolution and limited physical solutions for the nearshore environments prompted long-term studies, both for waves and energy assessments [129,130]. Akpinar et.al.…”
Section: Model Applicationmentioning
confidence: 99%
“…However, resolution and limited physical solutions for the nearshore environments prompted long-term studies, both for waves and energy assessments [129,130]. Akpinar et.al.…”
Section: Model Applicationmentioning
confidence: 99%
“…An extended description of the implementation in the Black Sea of the wave prediction system, SWAN based, is given in [3], [4] and [5]. Some additional information concerning the model settings and the physical parameterizations considered for the SWAN simulations carried out in the basin of the Black Sea is given in Table I.…”
Section: Implementation Of the Wave Prediction System In The Blacmentioning
confidence: 99%
“…A multilevel, SWAN-based wave prediction system has been implemented and focused on the western side of the sea in a downscaling process [32][33][34][35]. Various sensitivity tests and validations have been carried out for each computational level [36], taking into account also the computational strategies adopted in other coastal environments where the model results have been intensively validated against in situ measurements and remotely sensed data [37].…”
Section: Computational Levels Definedmentioning
confidence: 99%