摘要
用一个全球谱模式通过较多个例的月数值天气预报试验，研究了预报结果的有用信息提取问题。模式预报误差的谱分析表明，纬向平均（零波）场误差占很大比例，试验了两种用气候倾向改善纬向平均（零波）场误差的方案，一是对逐日预报结果进行订正，二是在积分过程中进行订正。
A number of monthly numerical weather prediction cases based on a global spectral model have been used to study the extraction of useful information in the predicted results. Spectral analysis of model prediction errors shows that the zonal symmetric part (' wave-number zero' ) accounts for a large portion of the total error. Using climatic tendency, two approaches have been tested to reduce this part of error. The first is to correct the final forecast result by replacing the zonal symmetric component by its climatic counterpart. The second is to proceed the correction of this part during the integration pro- cess. Both approaches prove effective.
出处
《大气科学》
CSCD
北大核心
2001年第6期778-786,共9页
Chinese Journal of Atmospheric Sciences
基金
国家"九五"重中之重项目"我国短期气候预测系统的研究"资助
