Buoy data assimilation in nearshore wave modeling

Abstract:

The study of wind waves deserves major attention at present time as they play a very important role in many human activities. Thanks to numerical modelling, at present wave estimates are available at global scale and with an outstanding degree of accuracy. Previously, measurements have served mainly to verily and calibrate models, but more recently the abundance of in-situ and remote sensed data have motivated the incorporation of measurements into the models in a process known as data assimilation. The focus of this study is the assimilation of offshore buoy data in the nearshore wave modelling scenario, looking for improvements of wave hindcasts at coastal locations. The model used is WAM, a state-of-the-art third generation wave model. The assimilation approach is the so called Optimal Interpolation (01). This method has some advantages over other methods as it is rather straightforward to implement and it is computationally very efficient. However, two major limitations are inherent in this method. The first is the a-priori representation of the errors characteristics of the system, and the second the retrieval of analyzed magnitudes into the wave spectrum. The confrontation of these shortcomings has largely drawn the experimental line followed in this study.

Año de publicación:

2009

Keywords:

Fuente:

google