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| Title: | INVERSE METHODOLOGY FOR COASTAL WAVE DATA ASSIMILATION | |
| DOI No: | 10.1142/9789812709554_0037 | |
| Source: | COASTAL ENGINEERING 2006 (pp 425-437) | |
| Author(s): | Alexandre Coli
Hydraulics and Environment Department, Laboratório Nacional de Engenharia Civil, Av. do Brasil, 101, Lisbon, Portugal, 1700-066, Portugal DECivil / Instituto Superior Técnico, Technical University of Lisbon, Av. Rovisco Pais, Lisbon, Portugal, 1049-001, Portugal João Alfredo Santos Hydraulics and Environment Department, Laboratório Nacional de Engenharia Civil, Av. do Brasil, 101, Lisbon, Portugal, 1700-066, Portugal António A. Pires-Silva DECivil / Instituto Superior Técnico, Technical University of Lisbon, Av. Rovisco Pais, Lisbon, Portugal, 1049-001, Portugal |
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| Abstract: | The offshore sea wave spectra estimation, based on nearshore wave observations, is important to define initial conditions for some regional wave propagating models as well as for data assimilation by global wave models. Among all procedures to estimate the offshore spectrum, the inverse methodology has the advantage of doing without any prior knowledge on the spectrum shape, its minimum, maximum or integral values. This paper presents an inverse methodology for sea wave spectrum estimation and it discuss its application to three test cases with ideal bottom configuration – a sloping bottom, a headland and a bay. To simulate the wave data at the measuring points, the SWAN spectral propagation model was used while the matrix relating the offshore spectrum ordinates and the directional spectral moments at these points was built using the BACKTRACK ray tracing model. In all test cases, the good agreement between the offshore directional curve shapes, peak directions and curve area, for one given frequency, shows the capabilities of the inverse methodology in this kind of problems. In addition, the application of this technique on controlled test cases showed the influence of the smoothness constrain on the solution quality. | |
| Full Text: | View full text in PDF format (1469KB) | |
| TOC: | Back to Table of Contents | |
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