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智能网格预报时空协调一致关键技术研发
引用本文:邵建,张肃诏,李强,郑鹏徽,姚姗姗,裴晓蓉.智能网格预报时空协调一致关键技术研发[J].气象科学,2019,39(6):847-852.
作者姓名:邵建  张肃诏  李强  郑鹏徽  姚姗姗  裴晓蓉
作者单位:中国气象局 旱区特色农业气象灾害监测预警与风险管理重点实验室, 银川 750002;宁夏气象台, 银川 750002,宁夏气象台, 银川 750002,宁夏气象台, 银川 750002,宁夏气象台, 银川 750002,宁夏气象台, 银川 750002,中国气象局 旱区特色农业气象灾害监测预警与风险管理重点实验室, 银川 750002;宁夏回族自治区气象局, 银川 750002
基金项目:宁夏回族自治区重点研发项目(2018BEG03002);宁夏回族自治区青年拔尖人才项目(2017);中国气象局预防员专项资助项目(CMAYBY2019-131)
摘    要:自2016年起,我国大力推进气象业务向"智能化、无缝隙、精准化"发展。2017年宁夏积极推进智能网格预报业务体系建设,在网格预报智能订正、主客观融合订正、格点/站点/落区一体化、灾害天气智能识别等方面开展了一些尝试,取得了一定的成果,目前各项成果均引入到宁夏智能化天气预报业务平台中。其中一项关键技术,是智能网格预报的时空协调一致技术。该项技术在主客观融合订正、格点/站点/落区一体化中发挥了重要作用。本文重点针对这一关键技术的设计思路和实现方法进行介绍、讨论。

关 键 词:智能网格预报  时空协调一致  无缝衔接
收稿时间:2018/7/1 0:00:00
修稿时间:2018/12/22 0:00:00

A research on the key technology of space-time coordination and consistency of intelligent grid forecasting
SHAO Jian,ZHANG Suzhao,LI Qiang,ZHENG Penghui,YAO Shanshan and PEI Xiaorong.A research on the key technology of space-time coordination and consistency of intelligent grid forecasting[J].Scientia Meteorologica Sinica,2019,39(6):847-852.
Authors:SHAO Jian  ZHANG Suzhao  LI Qiang  ZHENG Penghui  YAO Shanshan and PEI Xiaorong
Institution:Key Laboratory of Characteristic Agrometeorological Disaster Monitoring and Early Warning and Risk Management in Arid Regions, China Meteorological Administration, Yinchuan 750002, China;Ningxia Meteorological Observatory, Yinchuan 750002, China,Ningxia Meteorological Observatory, Yinchuan 750002, China,Ningxia Meteorological Observatory, Yinchuan 750002, China,Ningxia Meteorological Observatory, Yinchuan 750002, China,Ningxia Meteorological Observatory, Yinchuan 750002, China and Key Laboratory of Characteristic Agrometeorological Disaster Monitoring and Early Warning and Risk Management in Arid Regions, China Meteorological Administration, Yinchuan 750002, China;Ningxia Meteorological Bureau, Yinchuan 750002, China
Abstract:Since 2016, Chinese meteorologists have promoted the construction of meteorological modernization vigorously centering on seamless, accurate and intelligent weather forecast. In 2017, Ningxia meteorologists promoted the construction of an intelligent grid forecast system actively and they had made some achievements for grid forecast technologies, for example, intelligent correction, subjective and objective fusion correction, grid/station/zone integration, and disaster weather intelligent recognition. Those technologies were truly applied to forecast platform. One of the key technologies was space-time coordination and consistency, which played a very important role in the intelligent grid forecasting. This paper mainly introduced the design ideas and implementation process of this key technology.
Keywords:intelligent grid forecasting  spatio-temporal coordination and consistency  seamless connection
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