三套再分析资料在中国大陆风资源评估中的适用性研究OA

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.