下载及裁剪美国GFS全球数值天气预报资料的方法  

Methods for downloading and cropping US GFS global numerical weather forecast data

作　　者：史小康[1] 程文聪 忤建勋 李森[1] Shi Xiaokang;Cheng Wencong;Wu Jianxun;Li Sen(Beijing Aviation Meteorological Institute,Beijing 100085;Northwest Institute of Nuclear Technology,Urumqi 841700)

机构地区：[1]北京航空气象研究所,北京100085 [2]西北核技术研究院,乌鲁木齐841700

出　　处：《气象水文海洋仪器》2021年第3期79-81,84,共4页Meteorological,Hydrological and Marine Instruments

基　　金：高分专项项目(GFZX0402180102)资助.

摘　　要：针对当前下载美国GFS全球数值天气预报资料速度较慢和文件所需存储空间较大的问题,文章提出初步解决方法,即借助腾讯云计算服务器实现数据的稳定、快速下载;同时介绍了grib2文件格式和WRF模式背景场变量;实现了数据下载脚本、基于python、ecCodes和pygrib软件对grib2格式文件的读写和区域裁剪,减少了无用变量,缩小了文件大小,并可给WRF模式提供背景场。最后对结果进行了分析,为业务应用提供了参考。In view of the slow download speed and large file storage of GFS global numerical weather forecast data from the United States,this paper presents a preliminary solution,that is,using Tencent cloud computing server to achieve stable and fast data download.The grib2 file format and background field variables of WRF model are also introduced.Data download scripts,reading and writing of grib2 format files based on python,ecCodes and pygrib software,and region clipping are implemented,which reduces useless variables,file size and provides background field for WRF model.Finally,the results are analyzed to provide a reference for operational applications.

关 键 词：GFS PYTHON ecCodes grib2 裁剪 

分 类 号：P455[天文地球—大气科学及气象学]