热带气象学报2017，Vol.33Issue(6)：874-883,10.DOI:10.16032/j.issn.1004-4965.2017.06.008
基于四维数据同化技术的千米格距网格化气象数据集:构建及初步应用
GRIDDED METEOROLOGICAL DATASET WITH A 1-KM RESOLUTION BY USING FOUR DIMENSIONAL DATA ASSIMILATION TECHNIQUE:ESTABLISHMENT OF THE DATA SET AND PRELIMINARY APPLICATIONS
摘要
Abstract
By using a four-dimensional data assimilation technique based on the nudging method,a gridded meteorological dataset with a resolution of 1 km is established in Shenzhen.The comparison between the model data and the observational data shows that the gridded data can fairly well describe the characteristics of the local climate in Shenzhen,for there have been much observational data with high resolution from multi-sources assimilated in the dataset.Based on the gridded meteorological dataset,the Shenzhen fine-gridded climate information service platform is established,and many fine-scale products on local climate are provided through the platform,i.e.fine-scale wind roses and gridded wind energy distribution.The dataset has already successfully applied in practice such as gridded air temperature prediction,site-selection of wind energy projects and ventilation assessment on detailed urban planning.The current study shows that the establishment of the gridded meteorological dataset can be expected to provide services to gridded municipal management and construction.关键词
四维数据同化/张弛逼近/网格化气象数据/城市气候服务/深圳Key words
four-dimensional data assimilation/nudging/gridded meteorological data/urban climate service/Shenzhen分类
天文与地球科学引用本文复制引用
李磊,江崟,张文海,王德立,LIU Yu-bao,PAN Lin-lin,LIU Yue-wei..基于四维数据同化技术的千米格距网格化气象数据集:构建及初步应用[J].热带气象学报,2017,33(6):874-883,10.基金项目
国家重点研发计划(2016YFC0203600) （2016YFC0203600）
国家自然科学基金(41575005) （41575005）
中国气象局华南区域中心项目(GRMC2015M02)共同资助 （GRMC2015M02）
