绍兴市水利测雨雷达试点定量降水估测算法与效果评估OA

To overcome the limitations of traditional rainfall station networks in terms of insufficient spatial coverage and low resolution and to enhance the monitoring capability for flood-inducing heavy rainfall,this study aimed to systematically evaluate the performance of Quantitative Precipitation Estimation(QPE)products derived from the Shaoxing hydrological X-band hydrological precipitation radar pilot project.By acquiring radar base data and implementing rigorous quality control,QPE products were subsequently retrieved based on dual-polarization parameters.A quantitative comparative analysis between radar QPE and ground-based rain gauge data were conducted using statistical metrics including the Correlation Coefficient(CC),Relative Mean Error(RME),Relative Mean Bias(RMB),and Root Mean Square Error(RMSE).The evaluation results indicated that across four typical precipitation events,the radar QPE products maintained high consistency with rain gauge observations,with CC values no lower than 0.87 and RME less than 0.11,indicating limited systematic bias.The QPE products demonstrated strong capability in capturing the spatial distribution and intensity of different precipitation types,particularly in accurately estimating the magnitude and location of heavy rainfall cores.The"network-first,retrieval-later"QPE algorithm adopted by the Shaoxing hydrological X-band hydrological precipitation radar network proved effective and reliable.This technical route successfully overcomes the inherent attenuation limitations of single X-band radar detection and holds significant application value and promotion potential for the precise identification and early warning of flood-inducing heavy rainfall in the river-network region of the Yangtze River Delta.