基于Gappy POD和WRF模式的风速数据重构  

Gappy POD and WRF-Model Based Wind Speed Data Reconstruction

作　　者：小巴桑次仁[1] 索朗塔杰 杜媛芳 拉巴次仁[1] BASANG Tseringxiao;SUOLANG Tajie;DU Yuanfang;LHAPA Tsering(School of Science,Tibet University,Lhasa 850012,China;Meteorological Bureau of TAR,Lhasa 850011,China;School of Economics and Management,Wuhan University,Wuhan 430072,China)

机构地区：[1]西藏大学理学院,拉萨850012 [2]西藏自治区气象局,拉萨850011 [3]武汉大学经济与管理学院,武汉430072

出　　处：《西南大学学报（自然科学版）》2022年第5期82-88,共7页Journal of Southwest University(Natural Science Edition)

基　　金：霍英东青年教师基金基础性研究课题(151102).

摘　　要：由于地形较为复杂且观测站稀疏等原因导致西藏自治区那曲市中东部一带的风速重构较为困难.计算了WRF模式在研究区域内格点处的风场数据并以此为基础计算风场的主要特征,采用优化的经典POD算法将该区域仅有的8个稳定台站的风观测数据应用于提升模式输出数据的精度.交叉检验结果表明该方法能够提高地形复杂的观测站稀疏区域内任意点处的模式风速重构的精度.Due to the complicated topography and sparse distribution of observation stations,it is difficult to reconstruct the wind speed in the central and eastern part of Naqu,TAR.In this research,the WRF model was utilized to acquire wind data for each grid point and the data was then used to construct the basic features of the wind field in the studied region.The improved POD technique described in this paper plays a bridging role between the WRF model and the data collected by the observation stations.The cross-validation result reveals that the strategy used in this research increased the accuracy of wind speed model reconstruction at any pointin theareas with complicated topography and sparse observation station distribution.

关 键 词：Gappy POD WRF模式 风速 重构 复杂地形 

分 类 号：O175.8[理学—数学]