风浪和涌浪分离方法的比较
Comparisons on partitioning techniques to identify wind-wave and swell
-
摘要: 海浪通常以风浪和涌浪混合的形式存在。文中利用模型试验和实测资料,对目前提出的一种二维谱风涌浪分离方法(2D法)和3种一维谱风涌浪分离方法(PM法、WH法、JP法)进行了检验,分析发现:2D法给出的结果整体而言最为可靠,与2D法相比,PM法明显高估了风浪成分,WH法低风速时高估了风浪,高风速时跟2D法比较接近,而JP法在整体上高估了风浪成分。通过调整分割频率的比例系数,改进了PM法,改进后的PM法给出的分离结果与2D法最为一致。Abstract: The ocean waves are generally a mixer of wind-wave and swell. In this paper,a two-dimensional(2D) wave spectrum partitioning techniques and three one-dimensional(1D) wave spectrum partitioning techniques (i.e. PM technique, WH technique, JP technique) used to identify wind-wave and swell are examined based on the model results and the observations, it is shown that the 2D technique could provide most reliable results; compared with 2D technique, PM technique obviously overestimates the wind-wave components, WH technique overestimates the energy of wind-wave at low wind speed, while shows better agreement with 2D technique at higher winds, overestimations also occur in the case of JP technique; PM technique is modified to show better agreement with the 2D scheme, it is found that the improved PM technique provides most consistent results with the 2D scheme among the 1D techniques.
-
Key words:
- wind-wave /
- swell /
- partitioning /
- wave spectrum /
-
汪炳祥. 风浪与涌浪的划分判据[J].黄渤海海洋,1990,8(1):16-24. 郭佩芳,施平,王华,等. 划分风浪与涌浪的一个新判据[J]. 青岛海洋大学学报,1997,27(2):131-136. GERLING T W. Partitioning sequences and arrays of directional ocean wave spectra into component wave systems[J]. J Atmos Oceanic Technol,1992,9(4):444-458. DRENNAN W M,GRABER H C,HAUSER D,et al. On the wave age dependence of wind stress over pure wind seas[J]. J Geophys Res,2003,108(C3),8062,doi: 10.1029/2000JC000715. PORTILLA J,OCAMPO-TORRES F J,MONBALIU J. Spectral partitioning and identification of wind sea and swell[J]. J Atmos Oceanic Technol,2009,26(1):107-122. EARLE M D. Development of algorithms for separation of sea and swell . National Data Buoy Center Tech. Rep. MEC-87-1,NDBC,1984:53. WANG D W,HWANG P A. An operational method for separating wind sea and swell from ocean wave spectra[J]. J Atmos Oceanic Technol,2001,18(12):2052-2062. KOMEN G J,HASSELMANN K,HASSELMANN K. On the existence of a fully developed wind-sea spectrum[J]. J Phys Oceanogr,1984,14(8):1271-1285. HASSELMANN S,BRVNING C,HASSELMANN K,et al. An improved algorithm for the retrieval of ocean wave spectra from synthetic aperture radar image spectra[J].J Geophys Res,1996,101(C7):16615-16629. VOORRIPS A C,MAKIN V K,HASSELMANN S. Assimilation of wave spectra from pitch-and-roll buoys in a North Sea wave model[J]. J Geophys Res,1997,102(C3):5829-5849. HANSON J L,PHILLIPS O M. Automated analysis of ocean surface directional wave spectra[J]. J Atmos Oceanic Technol,2001,18(2):277-293. PIERSON W J,MOSKOWITZ L. A proposed spectral form for fully developed wind seas based on the similarity theory of S. A. Kitaigorodskii[J].J Geophys Res,1964,69(24):5181-5190. HASSELMANN K,OLBERS D. Measurements of wind-wave growth and swell decay during the Joint North Sea Wave Project(JONSWAP)[J].Ergnzungzur Deut Hydrogr Z,1973,A8(12):1-95. DURDEN S,VESECKY J. A physical radar cross-section model for a wind-driven sea with swell[J]. IEEE Journal of Oceanic Engineering,1985,10(4):445-451. MITSUYASU H,TASAI F,SUHARA T,et al. Observations of the power spectrum of ocean waves using a cloverleaf buoy[J]. J Phys Oceanogr,1980,10:286-296. HASSELMANN K,SEL W L,ROSS D B,et al.A parametric wave prediction model[J]. J Phys Oceanogr,1976,6(2):200-288. STREKALOV S,MASSEL S. On the spectral analysis of wind waves[J].Arch Hydro,Gdansk Poland,1971. The WAMDI Group . The WAM model-A third generation ocean wave prediction model[J]. J Phys Oceanogr,1988,18(12):1775-1810. GILHOUSEN D B,HERVEY R. Improved estimates of swell from moored buoys .Proc. Fourth Int. Symp. WAVES 200,Alexandria,VA,ASCE,2001:387-393. YOUNG I R. Wind Generated Ocean Waves[M].Elsevier,1999.
点击查看大图
计量
- 文章访问数: 2641
- HTML全文浏览量: 23
- PDF下载量: 72
- 被引次数: 0