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区域初始分析误差对梅雨锋中尺度低压数值预报的影响
引用本文:董佩明,钟科,赵思雄.区域初始分析误差对梅雨锋中尺度低压数值预报的影响[J].气候与环境研究,2006,11(5):565-581.
作者姓名:董佩明  钟科  赵思雄
作者单位:1. 南京信息工程大学江苏省气象灾害重点实验室,南京,210044;中国气象科学研究院,北京,100081
2. 中国科学院大气物理研究所,北京,100029
基金项目:国家自然科学基金资助项目40405020,南京信息工程大学江苏省气象灾害重点实验室开放课题KLME0503
摘    要:以梅雨锋中尺度低压个例为研究对象,根据目标观测的思想,采用NCEP和T106再分析资料分析了区域初始分析误差对梅雨锋中尺度低压数值预报误差的影响。结果表明:区域初始分析误差对数值预报误差有重要影响,改善某些特定区域初始场质量有可能改善随后数值预报的效果。但是,区域初始分析误差对数值预报误差的影响较为复杂,它与天气类型、不同个例和区域间误差相互作用等因素密切相关。对梅雨锋中尺度低压短期数值预报有较大影响的初始分析误差与梅雨锋锋区及其附近地区的要素场关系密切,相比较而言,风场似乎更加重要一些。如果对梅雨锋带中低层风切变区及相伴低空急流区有更好的描述,这将对梅雨锋中尺度低压系统数值预报效果的改善有着积极的作用。在此基础上,就相关的目标观测设计问题作了简要讨论。

关 键 词:目标观测  区域初始分析误差  梅雨锋  中尺度低压  数值预报
文章编号:1006-9585(2006)05-0565-17
收稿时间:04 19 2005 12:00AM
修稿时间:05 10 2006 12:00AM

Impact of Regional Uncertainties of the Initial State upon Numerical Forecast of Mesoscale Low on Meiyu Front
DONG Pei-Ming,ZHONG Ke and ZHAO Si-Xiong.Impact of Regional Uncertainties of the Initial State upon Numerical Forecast of Mesoscale Low on Meiyu Front[J].Climatic and Environmental Research,2006,11(5):565-581.
Authors:DONG Pei-Ming  ZHONG Ke and ZHAO Si-Xiong
Institution:1.Jiangsu Key Laboratory of Meteorological Disaster, Nanjing University of Information Science and Technology, Nanjing 210044;2. Chinese Academy of Meteorological Sciences, Beijing 100081;3. Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029
Abstract:Present study is associated with the key idea underlying targeted observations of the initial state for numerical forecast of mesoscale low on Meiyu front,which is called in China,Baiu in Japan and Changma in Korea and is the main synoptic system that brings rainfall to those countries during summer monsoon season every year.Mesoscale low on Meiyu front is one of the most important mesoscale systems associated with heavy rainfall.The effect of regional uncertainties of the initial state upon numerical forecast of mesoscale low on Meiyu front is concerned.The estimate of initial uncertainties is obtained by the differences between the NCEP and T106 reanalysis data.Control experiment is performed with NCEP data in whole model region.The impact of regional initial uncertainties is studied by a change of initial data from NCEP to T106 reanalysis first in whole model region,and then inside or outside the selected regions.Results show that regional uncertainties of the initial state have important impact on the numerical forecast error.Some improvement of numerical forecast may be obtained by improving the quality of initial state in certain region.However,this kind of effect is complex in that it is associated with weather pattern,individual case and the interaction between uncertainties of different regions.The regional uncertainties of the initial state,which have important impact on numerical prediction of mesoscale low on Meiyu front,should locate on and in the vicinity of Meiyu front zone.Probably,the wind field plays an important role and the better depiction of low-level wind shear and jet could result in the improvement of numerical forecast of mesoscale low on Meiyu front.
Keywords:targeted observations  regional uncertainties of the initial state  Meiyu front  mesoscale low  numerical forecast
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