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基于三维Barnes融合同化的广东海域高分辨率风资源数据集构建与应用验证

NIU Tao SONG Lili HU Jianglin ZHANG Hao CHEN Wenchao YI Kan JIANG Yiliang HUANG Congwu WEN Renqiang YUAN Chunhong

热带气象学报2025，Vol.41Issue(6)：745-757,13.

热带气象学报2025，Vol.41Issue(6)：745-757,13.DOI:10.16032/j.issn.1004-4965.2025.062

基于三维Barnes融合同化的广东海域高分辨率风资源数据集构建与应用验证

Construction and Application Verification of a High-Resolution Wind Resource Dataset in the Guangdong Sea Area Based on Three-Dimensional Barnes Assimilation

NIU Tao ¹SONG Lili ¹HU Jianglin ²ZHANG Hao ³CHEN Wenchao ⁴YI Kan ³JIANG Yiliang ⁵HUANG Congwu ⁶WEN Renqiang ³YUAN Chunhong⁷

作者信息

1. Chinese Academy of Meteorological Sciences/State Key Laboratory of Disaster&Atmospheric Chemistry Development Laboratory,Beijing 100081,China
2. Earth System Numerical Prediction Center of China Meteorological Administration,Beijing 100081,China
3. Science and Technology Research Institute,China Three Gorges Corporation,Beijing 101100,China
4. Guangdong Provincial Climate Center,Guangzhou 510641,China
5. Chinese Academy of Meteorological Sciences/State Key Laboratory of Disaster&Atmospheric Chemistry Development Laboratory,Beijing 100081,China||School of Environment,Tsinghua University,Beijing 100084,China
6. Chinese Academy of Meteorological Sciences/State Key Laboratory of Disaster&Atmospheric Chemistry Development Laboratory,Beijing 100081,China||Hubei University,Wuhan 430062,China
7. Huafeng Meteorological Media Group,Beijing 100081,China
折叠

摘要

Abstract

Aiming at the scarcity of offshore observations in the Guangdong sea area and the demand for high-precision,long-term data in wind power development,this study collected gradient wind data from 7 observation sites(comprising wind measurement towers and lidars)during 2012-2021.It developed a three-dimensional Barnes objective analysis method and a multi-source data fusion and assimilation technology,and constructed a high-resolution three-dimensional grid dataset(1 000 m horizontal resolution;10 m and 30 m vertical levels)and hourly wind field data at 20 reference points based on ERA5 reanalysis data.Error analysis shows that the correlation coefficient between the fused-assimilated wind speed and the observed wind speed are all≥0.82(with an average of 0.913),the average root mean square error(RMSE)is 1.20 m·s-1,and the wind speed error at heights above 30-40 m is≤1 m·s-1.The accuracy is significantly higher than that of ERA5 and power-law fitting.The average RMSE of wind direction is 20.2 °.The dataset clearly presents the spatiotemporal distribution characteristics of wind speed,such as increasing with the offshore distance and exhibiting annual dual peaks in winter and summer(winter>summer).It can also effectively depict the diurnal variation of wind fields,the passage of key weather systems(including typhoons),and climate system features such as monsoons and land-sea breezes.This dataset can provide reliable data support for wind farm planning,site selection,and wind energy resource assessment in the Guangdong sea area.

关键词

多源观测/三维Barnes融合同化/高分辨率风场数据集/风廓线幂指数模型/广东海域/误差分析

Key words

multi-source observations/three-dimensional Barnes fusion assimilation/high-resolution wind field dataset/wind profile power-law model/Guangdong sea area/error analysis

分类

天文与地球科学

引用本文复制引用

NIU Tao,SONG Lili,HU Jianglin,ZHANG Hao,CHEN Wenchao,YI Kan,JIANG Yiliang,HUANG Congwu,WEN Renqiang,YUAN Chunhong..基于三维Barnes融合同化的广东海域高分辨率风资源数据集构建与应用验证[J].热带气象学报,2025,41(6):745-757,13.

基金项目

中国长江三峡集团有限公司科研项目(202203057) （202203057）

中国气象局行业标准项目(TC540/SC2)共同资助（TC540/SC2）

热带气象学报

OA北大核心

ISSN：1004-4965

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