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| 国家级天气预报检验分析系统建设与应用 | |
| 引用本文： | 韦青,李伟,彭颂,薛峰,赵声蓉,张金艳,齐丹.国家级天气预报检验分析系统建设与应用[J].应用气象学报,2019,30(2):245-256. |
| 作者姓名： | 韦青 李伟 彭颂 薛峰 赵声蓉 张金艳 齐丹 |
| 作者单位： | 1.国家气象中心, 北京 100081 |
| 基金项目： | 中国气象局预报关键项目（YBGJXM （2018）06-2，YBGJXM （2018）03） |
| 摘 要： | 为了适应精细化预报和业务管理的发展需求，国家气象中心建设开发了基于Web的国家级天气预报检验分析系统。系统分为预报检验、检验文件解析处理、检验数据查询分析与检验平台管理4个功能模块，关键技术包括标准化的数据管理、开放式的算法模块管理与调度和检验数据的可视化分析。系统建立了规范高效的检验业务数据流程，兼容处理预报分析制作系统（MICAPS）数据、GRIB2数据、城镇报数据、自动气象站数据等其他专业气象数据，涵盖了国家级省级智能网格预报、全国城镇天气预报、定量降水预报、大城市空气质量预报等数十项检验业务产品，给出了空间分布、柱状图及数据表格等展现形式。系统为全国各级预报员、模式开发人员和管理人员提供预报检验反馈信息，为各省以及国家级预报业务考核提供了信息支撑；同时系统提供逐旬、月、年度的智能网格预报以及城镇天气预报的检验结果对比，有力支撑了智能网格预报产品业务研发和业务试验。 |
| 关 键 词： | 检验方法 系统 架构 数据流程 |
| 收稿时间： | 2018/10/16 0:00:00 |
| 修稿时间： | 2019/1/2 0:00:00 |
Development and Application of National Verification System in CMA |
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| Wei Qing,Li Wei,Peng Song,Xue Feng,Zhao Shengrong,Zhang Jinyan and Qi Dan.Development and Application of National Verification System in CMA[J].Quarterly Journal of Applied Meteorology,2019,30(2):245-256. | |
| Authors: | Wei Qing Li Wei Peng Song Xue Feng Zhao Shengrong Zhang Jinyan and Qi Dan |
| Affiliation: | 1.National Meteorological Center, Beijing 1000812.Beijing Juchuang Hi-tech Co., Ltd, Beijing 100160 |
| Abstract: | National Verification System in CMA provides a unified verification data environment to realize unified management and service of the observation, forecast and verification data. A standardized and efficient verification operational process is established, which is compatible with multiple data including MICAPS data, GRIB2 data, NWFD data, automatic weather station data and other meteorological data. It works with dozens of verification operation such as national and provincial intelligent grid forecasting, urban weather forecast, quantitative precipitation forecast, and the air quality forecast in big cities. The verification products are displayed in spatial distribution map, histogram and data table. Verification results can provide management departments with assessment and evaluation of forecasters from different departments, and support optimizing the management and allocation of resources. On the other hand, forecasters can also examine the verification results to improve future forecasting. Moreover, these results can also indicate forecasting capacity of different models for model developers. Regular annual and monthly verification reports issued by official departments, temporary verification reports required for the assessment and evaluation of forecasters are provided by the inspection system. National Verification System is overall standardized and systematic. The construction of the system emphasizes unification of norms and interfaces, so as to standardize basic functions, operational processes, data models and data coding information standards of the system construction and enhance the expansibility of the system. The system is deployed on three Linux servers, namely Web server, database server and data processing server. By updating and upgrading the system, the efficiency of statistical query results is improved, the interactive response of the inspection system is faster, and the operational process is complete and more standardized. The system consists of 4 functional modules:Forecast verification, analysis of verification documents, query and analysis of verification data and management of verification platform. The system organizes and manages all kinds of data effectively, dispatches the verification algorithm uniformly, and is compatible with new verification methods in the future. Key technologies include standardized data management, open algorithm module management and scheduling, and visual analysis of verification data. In order to provide references for provincial development of relevant verification systems, the specific verification methods of each module and the detailed processing in real-time operation are also described in particular. At the same time, the system provides comparison between results of urban weather forecasting and ten-day, monthly and annual intelligent grid forecasting. And therefore, it strongly supports the operational research and development of intelligent grid forecasting products and operational tests. |
| Keywords: | verification method system framework data flow |
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