Evaluation of extreme wave probability on the basis of long-term data analysis

被引:3
|
作者
Bulgakov, Kirill [1 ,2 ]
Kuzmin, Vadim [2 ]
Shilov, Dmitry [2 ]
机构
[1] Russian Acad Sci, Shirshov Inst Oceanog, 36 Nahimovskiy Prospekt, Moscow 117997, Russia
[2] Russian State Hydrometeor Univ, 98 Maloochtinsky Pr, St Petersburg 195196, Russia
基金
俄罗斯科学基金会;
关键词
D O I
10.5194/os-14-1321-2018
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A method of calculation of wind wave height probability based on the significant wave height probability is described (Chalikov and Bulgakov, 2017). The method can also be used for estimation of the height of extreme waves of any given cumulative probability. The application of the method on the basis of long-term model data is presented. Examples of averaged annual and seasonal fields of extreme wave heights obtained using the above method are given. Areas where extreme waves can appear are shown.
引用
收藏
页码:1321 / 1327
页数:7
相关论文
共 50 条
  • [21] THE EQUIVALENT POWER STORM MODEL FOR LONG-TERM PREDICTIONS OF EXTREME WAVE EVENTS
    Fedele, Francesco
    Arena, Felice
    OMAE 2009, VOL 2: STRUCTURES, SAFETY AND RELIABILITY, 2009, : 401 - 411
  • [22] On the Long-term Changes of Extreme Wave Heights at the German Baltic Sea Coast
    Xu, Zhenshan
    Dreier, Norman
    Chen, Yongping
    Froehle, Peter
    Xie, Dongmei
    JOURNAL OF COASTAL RESEARCH, 2016, : 962 - 966
  • [23] Long-Term Variability of Extreme Significant Wave Height in the South China Sea
    Osinowo, Adekunle
    Lin, Xiaopei
    Zhao, Dongliang
    Wang, Zhifeng
    ADVANCES IN METEOROLOGY, 2016, 2016
  • [24] A novel environmental contour method for predicting long-term extreme wave conditions
    Wang, Yingguang
    RENEWABLE ENERGY, 2020, 162 : 926 - 933
  • [25] Long-term stochastic extreme response analysis of floating bridges
    Giske, Finn-Idar Grotta
    Leira, Bernt Johan
    Oiseth, Ole
    X INTERNATIONAL CONFERENCE ON STRUCTURAL DYNAMICS (EURODYN 2017), 2017, 199 : 1175 - 1180
  • [26] Further evaluation of rizatriptan in menstrual migraine: Retrospective analysis of long-term data
    Silberstein, SD
    Massiou, H
    McCarroll, KA
    Lines, CR
    HEADACHE, 2002, 42 (09): : 917 - 923
  • [27] Long-term extreme response analysis of a long-span pontoon bridge
    Giske, Finn-Idar Grotta
    Kvale, Knut Andreas
    Leira, Bernt Johan
    Oiseth, Ole
    MARINE STRUCTURES, 2018, 58 : 154 - 171
  • [28] Long-term Preservation of Data Analysis Capabilities
    Gabriel, Carlos
    Arviset, Christophe
    Ibarra, Aitor
    Pollock, Andy
    ASTRONOMICAL DATA ANALYSIS SOFTWARE AND SYSTEMS: XXIV, 2015, 495 : 245 - 248
  • [29] Evaluation of Brey's production/biomass model on the basis of a long-term data set on a clam population
    Beukema, J. J.
    Dekker, R.
    MARINE ECOLOGY PROGRESS SERIES, 2013, 489 : 163 - 175
  • [30] Backcasting long-term climate data: evaluation of hypothesis
    Saghafian, Bahram
    Aghbalaghi, Sara Ghasemi
    Nasseri, Mohsen
    THEORETICAL AND APPLIED CLIMATOLOGY, 2018, 132 (3-4) : 717 - 726