基于ERA-Interim资料近37年南海波浪时空特征分析
|
摘要
基于ECMWF的ERA-interim37a的风场及海浪场再分析资料,探讨了南海海域波浪的时空分布特征,主要分析了波浪场和风场的空间分布、季节特征以及4个海域(南沙、西沙、中沙、东沙)波高与周期的联合分布以及南海波高的长期变化趋势。结果表明:南海海域的有效波高大值区呈东北-西南走向,且具有明显季节性变化特征,波高与风速以及波向与风向整体相关性较好;有效波高和波周期有良好的对应关系,不同区域波高与周期联合分布相近。1979—2015年期间,南海大部分海域的有效波高呈逐年递增趋势,其量值约为0.2~0.8 cm/yr。本文的研究成果,对南海远洋运输、海洋工程设计、岛礁建设及海洋能开发与利用等有着重要的参考价值。
The ERA-interim wave data from the European Centre for Medium-Range Weather Forecasts(ECMWF) and wave reanalysis data were used to analyze the spatial and temporal distribution characterizes of wave and wind field in the South China Sea(SCS). The joint distribution of islands wave height and period, the long-term trend of the South China Sea wave height were also discussed in this paper. The results show that the distribution of significant wave height in the SCS is from northeast to southwest with an obvious seasonal variation characteristics. The wave height and wave direction have a good correlation with the wind speed and wind direction. The significant wave height has a good correspondence with the wave period. The significant wave height in the most regions of the SCS presents an increasing tendency with a value 0.2~0.8 cm/yr from1979 to 2015.
The ERA-interim wave data from the European Centre for Medium-Range Weather Forecasts(ECMWF) and wave reanalysis data were used to analyze the spatial and temporal distribution characterizes of wave and wind field in the South China Sea(SCS). The joint distribution of islands wave height and period, the long-term trend of the South China Sea wave height were also discussed in this paper. The results show that the distribution of significant wave height in the SCS is from northeast to southwest with an obvious seasonal variation characteristics. The wave height and wave direction have a good correlation with the wind speed and wind direction. The significant wave height has a good correspondence with the wave period. The significant wave height in the most regions of the SCS presents an increasing tendency with a value 0.2~0.8 cm/yr from1979 to 2015.
引文
[1]姚国权,丁炳灿,王鉴义,麻志雄.南海海浪年极值统计分析[J].水利水运科学研究,1991,2:141-150.
[2]齐义泉,施平,毛庆文.南海海面风场和浪场季平均特征的卫星遥感分析[J].中国海洋平台.1997,12(3):118-12
[3]周良明,吴伦宇,郭佩芳,等.应用WAVEWATCHⅢ模式对南海的波浪场进行数值计算、统计分析和研究[J].热带海洋学报,2007,26(5):1-8.
[4]宗芳伊,吴克俭.基于近20年的SWAN模式海浪模拟结果的南海波浪能分布、变化研究[J].海洋湖沼通报,2014,(3):1-12.
[5]梅勇,宋帅,周林.北印度洋-南海海域海浪场、风场的年际变化特征分析[J].海洋预报,2010,27(5):27-33.
[6]沈春,蒋国荣,施伟来,等.南海Quik SCAT海面风场变化特征分析[J].海洋预报,2012,29(3):1-8.
[7]Dee D P,Uppala S M,Simmons A J,et al.The ERA-Interim Reanalysis:Configuration and Performance of the Data Assimilation System[J].Quarterly Journal of the Royal Meteorological Society,2011,137(656):553-597.
[8]万勇,张杰,孟俊敏,等.基于ERA-Interim高分辨率数据的中国东海南海波浪能评估[J].太阳能学报,2015,36(5):1259-1267.
[9]宗芳伊.近20年南海波浪及波浪能分布、变化研究[D].中国海洋大学,2014.
[10]郑崇伟,付敏,芮震峰,等.经略21世纪海上丝路之海洋环境特征:波候统计分析[J].海洋开发与管理,2015,32(10):1-7.
[2]齐义泉,施平,毛庆文.南海海面风场和浪场季平均特征的卫星遥感分析[J].中国海洋平台.1997,12(3):118-12
[3]周良明,吴伦宇,郭佩芳,等.应用WAVEWATCHⅢ模式对南海的波浪场进行数值计算、统计分析和研究[J].热带海洋学报,2007,26(5):1-8.
[4]宗芳伊,吴克俭.基于近20年的SWAN模式海浪模拟结果的南海波浪能分布、变化研究[J].海洋湖沼通报,2014,(3):1-12.
[5]梅勇,宋帅,周林.北印度洋-南海海域海浪场、风场的年际变化特征分析[J].海洋预报,2010,27(5):27-33.
[6]沈春,蒋国荣,施伟来,等.南海Quik SCAT海面风场变化特征分析[J].海洋预报,2012,29(3):1-8.
[7]Dee D P,Uppala S M,Simmons A J,et al.The ERA-Interim Reanalysis:Configuration and Performance of the Data Assimilation System[J].Quarterly Journal of the Royal Meteorological Society,2011,137(656):553-597.
[8]万勇,张杰,孟俊敏,等.基于ERA-Interim高分辨率数据的中国东海南海波浪能评估[J].太阳能学报,2015,36(5):1259-1267.
[9]宗芳伊.近20年南海波浪及波浪能分布、变化研究[D].中国海洋大学,2014.
[10]郑崇伟,付敏,芮震峰,等.经略21世纪海上丝路之海洋环境特征:波候统计分析[J].海洋开发与管理,2015,32(10):1-7.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |