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Statistical Prediction for Annual Start Date and Duration of Sea-Ice Coverage at Qinhuangdao Observation Station

作者:JIAO; Chunshuo; ZHANG; Wanlei; DONG; S...startdateofseaicedurationstatisticalpredictionweibulldistributiongaussiancopula

摘要:Qinhuangdao City is located in the mid-latitude monsoon-affected region,and the timing of sea-ice coverage changes from year to year,making sea-ice forecasting difficult.In this paper,we propose a statistical model using the 1980-2013 data collected at the Qinhuangdao observation station.The start date and the duration of ice coverage are fitted with four marginal distributions,from which the best-fitted,i.e.,the Weibull distribution,is selected to form a joint probability density function(PDF),built by the Gaussian copula method,for the two variables.With a given start date forecast by the Gray-Markov model(GMM),the joint PDF becomes a conditional probability model,which predicts that the duration of ice coverage is most likely 33 days at the Qinhuangdao observation station in 2014-2015.The predicted duration value is only two days less than the actual situation.The results prove that the new prediction model is feasible and effective to predict the period of ice coverage.The general sea-ice conditions that the sea ice would most likely form on December 8 and last for 80 days at the Qinhuangdao observation station could also be obtained from the joint PDF.The statistical model provides a useful tool to forecast ice conditions for planning and management of maritime activities.

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中国海洋大学学报·自然科学版

《中国海洋大学学报·自然科学版》(CN:37-1414/P)是一本有较高学术价值的大型月刊,自创刊以来,选题新奇而不失报道广度,服务大众而不失理论高度。颇受业界和广大读者的关注和好评。 《中国海洋大学学报·自然科学版》主要刊登理、工、农(水产)、医(药)等涉海相关领域中具有原创性的科技论文。坚持为理论研究、高技术开发、成果转化等专家学者、科技工作者服务,以理论研究和知识创新为主导,兼顾应用于开发等国内、国际的最新研究成果。

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