Wind Sea and Swell Delineation for Numerical Wave Modeling

Wind Sea and Swell Delineation for Numerical Wave Modeling
复制标题

DOI:
--
复制
发表时间:
2007
期刊:
--
影响因子:
--
通讯作者:
B. Tracy;E. Devaliere;J. Hanson
B. Tracy;E. Devaliere;J. Hanson
中科院分区:
其他
文献类型:
--
作者:
B. Tracy;E. Devaliere;J. Hanson

文献摘要

被引文献

相似文献

在后向预测和预报领域中的数值波浪建模产生了能量谱形式的输出。该能量谱通常被分配根据频谱中的能量量计算的有效波高,并且通过对能量谱的分析将波周期和方向分配给该有效波高。这些定义描述了总体情况,但没有给出频谱的详细情况。频谱是由与频谱相同位置的盛行风形成的风海区域,以及从远离现场的方向进入该区域的许多涌浪列车组成的。了解谱的所有成分的细节有助于对数值模式的技巧作出判断,或分析用于航行或沿海过程的波浪条件。一种源自数字成像领域的频谱划分方法(文森特和索耶,1991)已被采用来从定向海浪能量谱中产生海浪划分。这种方法将被称为波谱能量划分(WaveSEP)方法。该算法的FORTRAN版本是在密苏里州维克斯堡的海岸和水力实验室和高性能计算中心开发和测试的。本文将讨论WaveSEP FORTRAN算法的实现。
Numerical wave modeling in the fields of hindcasting and forecasting produces output in the form of an energy spectrum. This energy spectrum is usually assigned a significant wave height calculated from the amount of energy in the spectrum, and a wave period and direction are assigned to this significant wave height from analysis of the energy spectrum. These definitions describe the overall situation but do not give a detailed picture of the spectrum. A spectrum is made up of an area of wind sea resulting from the prevailing winds at the same location as the spectrum in addition to many swell wave trains that have moved into the area from directions far from the site. It is helpful to know details of all the components of the spectrum to make judgments on the skill of a numerical model or to analyze wave conditions for navigation or a coastal process. A spectral partitioning method derived from the field of digital imaging (Vincent and Soille, 1991) has been adapted to produce wave partitions from a directional wave energy spectrum. This approach will be referred to as the Wave Spectrum Energy Partitioning (WaveSEP) method. A FORTRAN version of this algorithm was developed and tested at the Coastal and Hydraulics Laboratory and High Performance Computing Center at the Engineer Research and Development Center in Vicksburg, MS. This paper will discuss the implementation of the WaveSEP FORTRAN algorithm.