帮助 关于我们

返回检索结果

An approach to estimating and extrapolating model error based on inverse problem methods: towards accurate numerical weather prediction

查看参考文献37篇

文摘 Model error is one of the key factors restricting the accuracy of numerical weather prediction (NWP). Considering the continuous evolution of the atmosphere, the observed data (ignoring the measurement error) can be viewed as a series of solutions of an accurate model governing the actual atmosphere. Model error is represented as an unknown term in the accurate model, thus NWP can be considered as an inverse problem to uncover the unknown error term. The inverse problem models can absorb long periods of observed data to generate model error correction procedures. They thus resolve the deficiency and faultiness of the NWP schemes employing only the initial-time data. In this study we construct two inverse problem models to estimate and extrapolate the time-varying and spatial-varying model errors in both the historical and forecast periods by using recent observations and analogue phenomena of the atmosphere. Numerical experiment on Burgers' equation has illustrated the substantial forecast improvement using inverse problem algorithms. The proposed inverse problem methods of suppressing NWP errors will be useful in future high accuracy applications of NWP.
来源 Chinese Physics. B ,2014,23(8):089201-1-089201-9 【核心库】
DOI 10.1088/1674-1056/23/8/089201
关键词 numerical weather prediction ; model error ; past data ; inverse problem
地址

1. College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000  

2. School of Mathematics and Statistics, Lanzhou University, Lanzhou, 730000

语种 英文
文献类型 研究性论文
ISSN 1674-1056
学科 物理学
基金 supported by the Special Scientific Research Project for Public Interest ;  the Fundamental Research Funds for the Central Universities, China ;  国家973计划
文献收藏号 CSCD:5198263

参考文献 共 37 共2页

1.  Toth Z. Bull. Am. Meteorol. Soc,1993,74:2317 被引 158    
2.  Molteni F. Q. J. R. Meteorol. Soc,1996,122:73 被引 161    
3.  Anderson J L. Mon. Wea. Rev,2001,129:2884 被引 85    
4.  Whitaker J S. Mon. Wea. Rev,2002,130:1913 被引 107    
5.  Danforth C M. Phys. Rev. Lett,2006,96:144102 被引 2    
6.  Zheng Z H. Acta Phys. Sin. (in Chinese),2012,61:199203 被引 2    
7.  Feng G L. Acta Phys. Sin. (in Chinese),2003,52:2347 被引 10    
8.  Danforth C M. Geophys. Res. Lett,2008,35:L24805 被引 2    
9.  Wang P. Acta Phys. Sin. (in Chinese),2005,54:4961 被引 7    
10.  Danforth C M. Mon. Wea. Rev,2007,135:281 被引 23    
11.  Leith C E. Ann. Rev. Fluid Mech,1978,10:107 被引 9    
12.  Ferranti L. Quart. J. Roy. Meteor. Soc,2002,128:1623 被引 2    
13.  Shao A M. Sci. China: Ser. D,2009,52:1650 被引 2    
14.  Kaas E. Tellus,1999,51:612 被引 4    
15.  Gu Z C. Acta Meteor. Sin. (in Chinese),1958,29:176 被引 4    
16.  Chou J F. Sci. Sin. (in Chinese),1974,17:814 被引 9    
17.  Qiu C J. Sci. Atmos. Sin. (in Chinese),1988,12:225 被引 3    
18.  Qiu C J. Sci. Atmos. Sin. (in Chinese),1989,13:22 被引 6    
19.  Qiu C J. Sci. China: Ser. B,1990,20:218 被引 2    
20.  Huang J P. Sci. China: Ser. B,1991,34:1246 被引 10    
引证文献 3

1 熊雄 基于空间观测差异的地面气温资料质量控制算法研究 地球物理学报,2017,60(3):912-923
被引 2

2 张萌 GRAPES_GFS 2.0模式非系统误差评估 应用气象学报,2019,30(3):332-344
被引 8

显示所有3篇文献

论文科学数据集
PlumX Metrics
相关文献

 作者相关
 关键词相关
 参考文献相关

版权所有 ©2008 中国科学院文献情报中心 制作维护:中国科学院文献情报中心
地址:北京中关村北四环西路33号 邮政编码:100190 联系电话:(010)82627496 E-mail:cscd@mail.las.ac.cn 京ICP备05002861号-4 | 京公网安备11010802043238号