“海上丝绸之路”·海洋环境与新能源数据集 最新来稿(未评审) 版本 ZH1
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西北太平洋海浪观测及统计产品数据集
Ocean wave observation data and statistical products of Northwest Pacific Ocean
: 2020 - 05 - 15
: 2020 - 05 - 20
106 0 0
摘要&关键词
摘要:海浪观测数据及统计产品是开展海浪预报、制作海洋气候水文背景以及科学研究、工程建设的基础和重要参考。目前业务上使用的海浪统计产品所使用的数据多为再分析数据和卫星反演数据,使用实际观测数据的较少,无法较好反映海浪细微的时空分布特征。近年来,海浪观测数据量的极大增长为制作海浪统计产品提供了数据保证。为此,本研究针对西北太平洋海浪的时空分布特点,对ICOADS原始数据进行了主要海浪要素的提取、质量控制和统计分析,生成了海浪观测数据和浪统计产品数据。其中,海浪统计产品较以往的同类产品增加了有效波高大于2.5米概率、有效波高大于4.0米概率、有效波高大于6.0米概率、风浪向分布、涌浪向分布、有效波高大于2.5米日数、有效波高大于4.0米日数、有效波高大于6.0米日数等较为实用的统计要素。
关键词:西北太平洋;海浪;观测数据;统计产品
Abstract & Keywords
Abstract: The wave observation data and statistical products are basic and important references to carry out the wave forecast, make ocean climate and hydrological background, and for scientific research and engineering construction. At present, the data used by the wave statistics products in the business are mostly reanalysis data and satellite inversion data, but the actual observation data are less, which cannot reflect the spatial and temporal distribution characteristics of the subtle waves. In recent years, the great growth of wave observation data provides data assurance for making wave statistics products. For this reason, based on the spatial and temporal distribution characteristics of ocean waves in the northwest Pacific Ocean, the main elements of ocean waves were extracted, quality control and statistical analysis were carried out on the ICOADS original data, and wave observation data and wave statistical product data were generated. Among them, the wave statistics products than in the past similar products increased the probability of effective wave height at 2.5 meters, 4.0 meters tall on the probability and effective wave effectively 6.0 meters tall on the probability, waves to distribution, swell to distribution, effective 2.5 meters tall on the days, effective wave 4.0 meters tall on the days, 6.0 meters tall on the number of the effective wave and other more practical statistical factors.
Keywords: Northwest Pacific Ocean; wave; observation data; statistical product
稿件与作者信息
姜洪峰
Jiang Hongfeng
jhf_9@163.com
出版历史
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中国科学数据
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