质量守恒的订正算法在GRAPES_GFS中的应用

如何在长时间积分的过程中保证模式大气的质量守恒是数值模式动力框架面临的基本问题之一,对于半拉格朗日动力框架来说,在理论上要满足质量守恒面临着诸多的困难,质量订正方案不失为一种简单可行的选择。中国气象局数值预报中心的GRAPESGFS（Global-Regional Assimilation and PrEdiction System,Global Forecast System）在长时间积分过程中质量损失问题较为明显,该研究工作借鉴C~CAM（Climate-CommunityAtmosphere Model）中对地面气压进行订正控制模式质量守恒的思路,在GRAPESGFS中开发了一种对每个网...

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Bibliographic Details
Published in应用气象学报 Vol. 27; no. 6; pp. 666 - 675
Main Author 苏勇 沈学顺 张倩
Format Journal Article
LanguageChinese
Published 中国气象科学研究院,北京100081 2016
中国气象局数值预报中心,北京100081%中国气象局数值预报中心,北京,100081%中国气象局气象宣传与科普中心,北京,100081
南京信息工程大学大气科学学院,南京210044
Subjects
GRAPES_GFS
半拉格朗日
质量守恒
GRAPES_GFS
质量守恒
semi-Lagrangian
mass conservation
半拉格朗日
Online AccessGet full text
ISSN1001-7313
DOI10.11898/1001-7313.20160603

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Summary:如何在长时间积分的过程中保证模式大气的质量守恒是数值模式动力框架面临的基本问题之一,对于半拉格朗日动力框架来说,在理论上要满足质量守恒面临着诸多的困难,质量订正方案不失为一种简单可行的选择。中国气象局数值预报中心的GRAPESGFS（Global-Regional Assimilation and PrEdiction System,Global Forecast System）在长时间积分过程中质量损失问题较为明显,该研究工作借鉴C~CAM（Climate-CommunityAtmosphere Model）中对地面气压进行订正控制模式质量守恒的思路,在GRAPESGFS中开发了一种对每个网格内的质量按照不同权重系数进行调整、控制模式大气总质量守恒的算法。经过一系列的试验,验证了该方法在GRAPESGFS中的可行性,在保证模式质量守恒的情况下可有效减小高度场的预报偏差,缓解模式预报结果中天气系统偏弱的问题,在实际业务预报中有一定应用价值。
Bibliography:Su Yong1,2,3,Shen Xueshun3,Zhang Qian4（1Chinese Academy of Meteorological Sciences, Beijing 100081; 2Department of Atmospheric Sciences, Nanjing University of Information ＆ Technology, Nanjing 210044; 3Numerical Prediction Center of CMA, Beijing 100081 ; 4 CMA Center for Communication and Outreach, Beijing 100081）
11-2690/P
GRAPES_GFS; mass conservation; semi-Lagrangian
The conservation of mass is very important for the dynamic core of numerical model,especially for climate simulation or medium and long term prediction.For the traditional semi-Lagrangian dynamic core,it is difficult to satisfy the mass conservation theoretically,the finite volume method can be used in the semiLagrangian continuous equation to satisfy the mass conservation in theory,but the practical application is more complex,and no operational center adopt the method at this time.On the other hand,the traditional semi-Lagrangian method combined with a simple and easy mass correction algorithm is also a good choice.The GRAPESGFS（Global-Regional
ISSN:1001-7313
DOI:10.11898/1001-7313.20160603