大气科学学报2026，Vol.49Issue(2)：311-323,13.DOI:10.13878/j.cnki.dqkxxb.20241226001
三套再分析资料在中国大陆风资源评估中的适用性研究
Applicability of three reanalysis datasets for assessing mainland wind re-sources in China
摘要
Abstract
Large-scale development of wind power represents a key pathway for decarbonizing the power sector,contributing significantly to energy conservation,emission reduction,environmental improvement,and climate change mitigation.Accurate wind resource assessment is critical for ensuring the successful development and prof-itability of wind farms,providing the basis for estimating regional wind energy potential and identifying suitable sites.In recent years,reanalysis datasets have been widely used in wind energy assessments due to their high spa-tiotemporal resolution,broad geographical coverage,and long-term continuity,which help overcome the limita-tions of conventional observational networks.However,while previous studies have identified notable regional differences in the applicability of various reanalysis-based wind fields,comparative evaluations of the latest prod-ucts remain limited.In particular,the performance of China's first-generation global atmospheric and land reanaly-sis(CRA-40),the Japan Meteorological Agency's third global atmospheric reanalysis(JRA-3Q),and ERA5 from the European Centre for Medium-Range Weather Forecasts in reproducing wind power density(WPD),a key indicator of wind energy potential,has not been sufficiently assessed.To address this gap,this study employs the gridded observational dataset CN05.1 from the National Climate Center of China and divides mainland China into eight subregions(Northwest,North,Northeast,East,Central,South,Southwest,and West China)to sys-tematically evaluate the performance of CRA-40,JRA-3Q,and ERA5 in capturing the spatial and temporal char-acteristics of WPD.The results indicate that(1)CRA-40 most accurately reproduces the spatial distribution of WPD in the N,NEC,EC,SC and SW regions,with the PCCs exceeding 0.7;ERA5 performs best in CC,while JRA-3Q performs better in NWC and W.CRA-40 also better captures WPD spatial trend patterns.(2)Temporal variability of WPD is best reproduced by CRA-40 in the N,NEC,EC,CC,and SC regions,by ERA5 in SW,and JRA-3Q in NWC and W.With the exception of NWC,CRA-40 most effectively reproduces the annual WPD trend.(3)In terms of quantitative consistency,CRA-40 shows the strongest correlation with ob-servations,followed by JRA-3Q,with CCs generally reaching 0.8 in NEC,EC,and CC.In NWC and W,CRA-40 outperforms the other products by 0.1-0.2.CRA-40 also exhibits smaller RMSE and BIAS.Overall,CRA-40 demonstrates clear advantages in regions where wind projects are concentrated(e.g.,N,NEC,EC,CC,SC,and SW),whereas JRA-3Q is more suitable for NWC and W.These findings offer important guidance for wind resource assessment,site selection,and the application of reanalysis datasets in terrestrial China.They can support the further development of wind power,accelerate decarbonization of the power sector,and promote the transition to clean energy.Future research should explore integrating multiple reanalysis datasets or applying higher-resolution surface wind products to improve the accuracy of wind resource assessments.关键词
风功率密度/风资源评估/再分析资料/适用性分析Key words
wind power density/wind resource assessment/reanalysis dataset/applicability analysis引用本文复制引用
任叶婷,王之屹,张志薇,石宝龙,王婧洁,吴甜蓓,李萌君,王金艳..三套再分析资料在中国大陆风资源评估中的适用性研究[J].大气科学学报,2026,49(2):311-323,13.基金项目
国家重点研发计划项目(2020YFA0608402) （2020YFA0608402）
甘肃省科学技术协会2023年创新驱动助力工程项目(GXH20230817-7) （GXH20230817-7）
国家自然科学基金联合基金项目(U2342205) （U2342205）
甘肃省自然科学基金重点项目(23JRRA1030) （23JRRA1030）
