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数值天气预报中的不一致性问题综述
引用本文:郭换换,智协飞,段明铿,胡航菲. 数值天气预报中的不一致性问题综述[J]. 气象科学, 2016, 36(1): 134-140
作者姓名:郭换换  智协飞  段明铿  胡航菲
作者单位:南京信息工程大学 气象灾害省部共建教育部重点实验室, 南京 210044,南京信息工程大学 气象灾害省部共建教育部重点实验室, 南京 210044,南京信息工程大学 气象灾害省部共建教育部重点实验室, 南京 210044,南京信息工程大学 气象灾害省部共建教育部重点实验室, 南京 210044
基金项目:国家自然科学基金资助项目(41205083);公益性行业(气象)科研专项(GYHY200906009);江苏高校优势学科建设工程项目(PAPD)
摘    要:近年来随着数值天气预报的不断发展,数值天气预报中出现了一个新的值得注意的问题:预报不一致性,即连续多次预报中,前后两次预报所做出的预报结果之间差异较大的现象。本文较系统地概述了这一问题,总结了预报不一致性的概念、定量分析方法、产生的可能原因及其与预报误差的关系等方面的研究成果。目前预报不一致性的定量分析方法还较少,其适用性和客观性等还需进一步研究。在预报不一致性产生的原因方面,现有的研究仅限于理论上的简要分析,初始误差和模式误差在预报不一致性形成过程中的具体作用等尚不清楚。最后阐述了在预报不一致性研究中存在的一些问题及可能的研究方向。

关 键 词:数值天气预报  预报不一致性  预报误差  综述研究
收稿时间:2014-04-29
修稿时间:2014-06-28

Review on the inconsistency of numerical weather prediction
GUO Huanhuan,ZHI Xiefei,DUAN Mingkeng and HU Hangfei. Review on the inconsistency of numerical weather prediction[J]. Journal of the Meteorological Sciences, 2016, 36(1): 134-140
Authors:GUO Huanhuan  ZHI Xiefei  DUAN Mingkeng  HU Hangfei
Affiliation:Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044, China,Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044, China,Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044, China and Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044, China
Abstract:During the development of numerical weather prediction, a new notable problem:forecast inconsistency, has been investigated in recent years. Forecast inconsistency means the large difference between two consecutive forecasts in the successive forecasts. The main issues of forecast inconsistency are systematically presented in this paper, including its concept, methods of quantification analysis, the possible causes and the relationship with forecast error. Results show that there are few methods of quantification analysis, and their applicability and objectivity still require further study. In terms of the reasons of forecast inconsistency, present research is limited to a brief analysis of the theory, and the specific roles of the initial error and the model error in the formation of forecast inconsistency are still unclear. Some potential problems and possible research direction of forecast inconsistency are pointed out in the end.
Keywords:Numerical weather prediction  Forecast inconsistency  Forecast error  Comprehensive research
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