Abstract：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.
史小康, 程文聪, 忤建勋, 李森. 下载及裁剪美国GFS全球数值天气预报资料的方法[J]. 气象水文海洋仪器, 2021, 38(3): 79-81.
Shi Xiaokang, Cheng Wencong, Wu Jianxun, Li Sen. Methods for downloading and cropping US GFS global numerical weather forecast data. Meteorological Hydrological and Marine Instrument, 2021, 38(3): 79-81.