Global medium-term numerical forecast GRAPES_GFS

• Main Authors: WANG JINCHENG, ZHAO BIN, ZHANG HUA, CHEN DEHUI, HAN WEI, CHEN QIYING, XUE JISHAN, ZHANG HONGLIANG, HU JIANGKAI, HU JIANGLIN, SU YONG, WANG JIANJIE, SHEN XUESHUN, JIN ZHIYAN, GONG JIANDONG, TIAN WEIHONG, SUN JIAN, LIU QIJUN, ZHOU BIN, LIU YONGZHU, ZHANG LIN
• Format: Patent
• Language: Chinese; English
• Published: 17.01.2020
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; MEASURING; METEOROLOGY; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR; TESTING

The invention discloses global medium-term numerical forecast GRAPES_GFS. The global medium-term numerical forecast GRAPES_GFS is characterized in that in the aspect of large-scale parallel computing,the improvement of an existing framework is proposed for the shortcomings of an existing semi-implicit semi-Lagrangian integration scheme in terms of computational efficiency and scalability, and a solving algorithm with high efficiency and high performance is proposed based on the semi-implicit integral scheme and linearization system. The non-equidistant difference is adopted to improve the calculation accuracy of the background temperature profile and solve the problem of large errors of the background temperature profile at the level of drastic change of model vertical stratification thickness. The digital filtering module is reconstructed and optimized to improve the stability and computational efficiency of digital filtering. A 3D-Var integrated single-point test system is established. 本发明公开了全球中期数值预报GRAPES_