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作 者:郝民[1] 王瑞文 田伟红[1] 万晓敏[1] HAO Min;WANG Ruiwen;TIAN Weihong;WAN Xiaomin(National Meteorological Center,China Meteorological Administration Numerical Prediction Center,Beijing 100081,China)
机构地区:[1]国家气象中心中国气象局数值预报中心,北京100081
出 处:《高原气象》2020年第5期1070-1079,共10页Plateau Meteorology
基 金:中国气象局数值预报中心(GRAPES)发展专项(2018-2019)。
摘 要:探空观测资料作为天气预报和数值预报不可缺少的资料源在科研和业务中发挥着重要作用,但该资料质量的好坏直接影响模式预报的准确性,因此必须在资料源头开展资料质量控制确保高质量资料在同化和模式预报中得到应用。质量控制要有好的效验工具和比对资料,本文将我国业务数值预报的CIMISS数据库与NCEP的GDAS数据库的探空湿度资料进行比较,了解CIMISS库资料的质量与偏差情况,以及两种资料库数据在GRAPES 4DVAR同化应用结果,试验表明:两个库资料虽然存在偏差,经过质量控制,偏差明显减小;在实际同化分析与EC再分析场比较水平和垂直偏差都很小,模式预报降水评分基本一致,从而证实CIMISS库中探空湿度资料的合理可用性,为深入认识探空湿度资料的质量和性能提供了依据。As one of the indispensable data sources for weather forecast and numerical prediction,the sounding observation data plays an important role in scientific research and operation.The quality of data directly affects the accuracy of modeling prediction,so it is necessary to carry out data quality control for the data source to ensure the application of high-quality data in assimilation and model forecasting.The certificated data and effective tools are both needed for the data quality control.In this study,the data sets from CIMISS database of the operational numerical prediction system in China were compared with those from GDAS database of NCEP.The quality and deviation of CIMISS database,and the experimental results of the two kinds of data applied with GRAPES 4DVAR system were analyzed.The results showed that the deviation between the two data sets was obviously reduced after data quality control.Both the horizontal and vertical deviation between the actual assimilation analysis and the EC reanalysis fields were very small,and the precipitation score of the model prediction remained stable.These supported the reasonable availability of the sounding humidity data in the CIMISS database,and provided helpful information for further understanding on their quality.
分 类 号:P456.7[天文地球—大气科学及气象学]
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