| 摘要: |
| 再分析风场资料已广泛应用于我国舟山群岛海域可再生能源评估、海洋灾害预防决策以及港口运维和船舶运输等涉海发展领域,然而不同业务机构所提供的再分析数据在舟山近海的性能表现不一,严重阻碍了此类数据的有效应用。基于2018年全年单点浮标观测资料,综合评价了舟山群岛近海面(10 m)风场的长期变化趋势,并利用误差分析和风玫瑰图等统计工具对6种主流海表风场再分析资料,包括:ECMWF第五代全球大气再分析数据(the 5th generation ECMWF atmospheric reanalysis,ERA5)、NECP第二版全球高分辨率再分析数据(climate forecast system version 2,CFSv2)、美国宇航局物理海洋学分布存档中心的多卫星融合资料(cross-calibrated multi-platform,CCMP)、日本55年再分析数据(Japanese 55-year reanalysis,JRA-55)、第二版现代研究与应用回顾性分析数据(modern-era retrospective analysis for research and applications version 2,MERRA-2)和ECMWF哥白尼大气监测服务再分析数据(the Copernicus Atmosphere Monitoring Service,CAMS)在时间变化特征上进行了对比与评估。研究表明:在综合性能方面,ERA5对风场的再现能力最优,其次为JRA-55;在要素可信度方面,ERA5对风速的再现情况相对较优,而CFSv2的风向再现情况较好;风场产品在不同季节的模拟能力有所差异;不同风场产品在不同风速区间的重构能力也有所不同;在全年风向分布方面,各再分析资料都存在显著的东向偏差。研究结果为不同应用场景下风场资料的选取提供评估依据,并为进一步开发适用于舟山群岛近海的高精度长周期风场数据产品奠定基础。 |
| 关键词: ECMWF第五代全球大气再分析数据 国家环境预测中心第二版全球高分辨率再分析数据 美国宇航局物理海洋学分布存档中心的多卫星融合资料 日本55年再分析数据 第二版现代研究与应用回顾性分析数据 哥白尼大气监测服务再分析数据 风场 舟山群岛 |
| DOI：10.11693/hyhz20211100305 |
| 分类号:P731 |
| 基金项目:海南省财政科技计划资助的海南省重大科技计划项目,ZDKJ202019号。 |
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| PERFORMANCE EVALUATION OF MAINSTREAM SEA SURFACE WIND FIELD DATA IN ZHOUSHAN ARCHIPELAGO |
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LIU Zi-Wei1, ZHAO Shuai-Kang1, WEI Xiao-Ran1, BAI Ye-Fei1,2
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1.Ocean College, Zhejiang University, Zhoushan 316021, China;2.Hainan Institute of Zhejiang University, Zhejiang University, Sanya 572024, China
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| Abstract: |
| Reanalysis wind field data are and have been widely used in evaluation of renewable energy resources, marine disaster prevention, port operation, and ship transportation in Zhoushan archipelago, East China Sea, Zhejiang, East China. However, performance of the reanalysis data from different agencies varies in Zhoushan area, which greatly impedes the effective application of these data. Based on full time series of wind field data recorded at nearshore buoy in 2018, we investigated the long-term variation trend of the near-surface wind field in Zhoushan archipelago and conducted comprehensive evaluation on the performance of six reanalysis datasets (ERA5, CFSv2, CCMP, JRA-55, MERRA-2, and CAMS) through error analysis and wind rose chart. Results show that ERA5 performs overall the best in reproducing the wind field and followed by JRA-55. In terms of single factor of wind field, ERA5 reproduces the wind speed relatively well, while CFSv2 reproduces the wind direction better. Performance of each reanalysis data also varies seasonally. In terms of wind direction distribution of the whole year, the reanalysis data have a significant eastward deviation, which was observed in most of the reanalysis datasets. The findings provide baseline for selection of proper wind field reanalysis dataset in different application scenarios and serve as the first step towards development of high-precision and long-span wind field data products for Zhoushan archipelago. |
| Key words: ERA5 (the 5th Generation ECMWF Atmospheric Reanalysis) CFSv2 (Climate Forecast System version 2) CCMP (Cross-Calibrated Multi-Platform) JRA-55 (Japanese 55-year Reanalysis) MERRA-2 (Modern-Era Retrospective Analysis for Research and Applications version 2) CAMS (the Copernicus Atmosphere Monitoring Service) wind field Zhoushan archipelago |
