Nonstationary fuzzy forecasting of wind and wave climate in very long-term scales
作者机构：SINTEF OceanDepartment of Energy and TransportPostboks 4762 TorgardenTrondheim NO-7465Norway DNV GLGroup Technology and ResearchP.O Box 3001322HøvikNorway
出 版 物：《Journal of Ocean Engineering and Science》 (海洋工程与科学（英文）)
年 卷 期：2018年第3卷第2期
页 面：144-155页
核心收录：
学科分类：0710[理学-生物学] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 0908[农学-水产] 07[理学] 0707[理学-海洋科学] 0815[工学-水利工程] 0824[工学-船舶与海洋工程]
基 金：DNV-GL Norsk Regnesentral SINTEF Norges Forskningsråd, (243814/E10)
主 题：Fuzzy time series Wind and wave data Forecasting Nonstationary Ocean wind and wave climate
摘 要：Global climate change may have serious impact on human activities in coastal and other *** change may affect the degree of storminess and,hence,change the wind-driven ocean wave *** may affect the risks associated with maritime activities such as shipping and offshore oil and ***,there is a recognized need to understand better how climate change will affect such ***,such understanding comes from future projections of the wind and wave climate from numerical climate models and from the stochastic modelling of such *** work investigates the applicability of a recently proposed nonstationary fuzzy modelling to wind and wave climatic *** to this,fuzzy inference models(FIS)are coupled with nonstationary time series modelling,providing us with less biased climatic *** long-term datasets for an area in the North Atlantic Ocean are used in the present study,namely NORA10(57 years)and ExWaCli(30 years in the present and 30 years in the future).Two distinct experiments have been performed to simulate future values of the time series in a climatic *** assessment of the simulations by means of the actual values kept for comparison purposes gives very good results.
维普期刊数据库