摘要
随着计算机技术和卫星探测技术的发展,美国国家环境预报中心(NCEP)开发出的气候预报系统(CFS)可以获取含有未来9个月预报值的实时预报产品。为此,研究以CFS的GRIB文件为数据源,利用Python调用Wgrib2、Numpy、PIL、Matplotllib等第三方库将其处理为降水等值线图,以便分析CFS数值预报产品对于提高水文预报预见期的可行性。
With the development of computer technology and satellite detection technology,the Climate Prediction System(CFS)developed by the National Center for Environmental Forecasting(NCEP)can obtain real-time prediction products containing the forecast values for the next nine months.To this end,this study takes the GRIB file of CFS as the data source,and uses Python to call the third-party libraries of Wgrib2,Numpy,PIL and Matplotllib to process it into the precipitation contour map,so as to analyze the feasibility of CFS numerical forecast products for improving the forecast period of hydrological forecast.
作者
夏达忠
刘艳
罗锡斌
蔡和荷
XIA Dazhong;LIU Yan;LUO Xibin;CAI Hehe(College of Hydrology and Water Resources,Hohai University,Nanjing 210098,Jiangsu,China;State Grid Chongqing Electric Power Company,Chongqing 400015,China)
出处
《水力发电》
CAS
2021年第12期19-22,54,共5页
Water Power
基金
国家重点研发计划(2019YFC0409000)。
关键词
CFS
中长期预报
降水
适用性
Climate Forecast System(CFS)
medium and long-term forecast
precipitation
applicability
