气象数据高精度融合技术研究  

Research on High-Precision Fusion Technology for Precipitation Observation

作　　者：毛紫薇 章璇 唐加山 Ziwei Mao;Xuan Zhang;Jiashan Tang(School of Communication and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing Jiangsu;School of Science,Nanjing University of Posts and Telecommunications,Nanjing Jiangsu;Research Center of Stochastic Mathematics,Nanjing University of Posts and Telecommunications,Nanjing Jiangsu)

机构地区：[1]南京邮电大学通信与信息工程学院,江苏南京 [2]南京邮电大学理学院,江苏南京 [3]南京邮电大学随机数学研究中心,江苏南京

出　　处：《建模与仿真》2024年第6期6283-6290,共8页Modeling and Simulation

摘　　要：降水观测在气象领域至关重要,本文利用变分同化方法结合雷达与雨量计数据提升降水场估测精度,通过构建变分同化模型,并优化数据融合过程,实现了高精度降水估计。研究成果为气象预报、水文学及洪水预警等领域提供了可靠数据支持,并为未来研究提供了参考价值。Precipitation observation is crucial in meteorology.This study explores the strategy of enhancing precipitation field estimation accuracy through variational data assimilation(VDA)methods,com-bining radar and rain gauge data.By constructing a variational assimilation model and optimizing the data fusion process,high-precision precipitation estimation is achieved.The research findings provide reliable data support for meteorological forecasting,hydrology,and flood warning,and point to future research directions.

关 键 词：变分同化 降水观测 L-BFGS-B迭代算法 雷达 雨量计 

分 类 号：P41[天文地球—大气科学及气象学]