摘要
建立福建汛期降水量气候场的主分量逐步回归预测模型,通过预测福建汛期降水量气候场的主分量来实现对福建汛期降水量场的预测。选取北半球500 hPa高度场、太平洋海温场、北半球海平面气压场等含不同区域不同季节的诸多因子场的前若干主分量因子作为预测因子。计算分析了福建汛期降水场的主分量分布特征和分型特点。利用相关筛选和双重检验逐步回归方法,建立福建汛期降水场与多个因子场的关系,建立主分量的预测方程。通过对2012年福建汛期降水的预报,发现该模型对福建汛期降水的趋势和分布有较好的预测能力。
A principal component stepwise regression prediction model of rainfall in Fujian Province is established. The model predicts the preci climatic field for the flood period pitation of flood period in Fujian through predicting the principal component of the climatic field of that period. This study takes the 500 hPa height and the sea surface temperature of Pacific Ocean and the sea-level pressure in the Northern Hemisphere and many principal component factors in various seasons and regions as predictors, calculating and analyzing the distribution and types of the principal components of the flood period rainfall in Fujian. Through correlation screening and double test stepwise regression, a pred the principal component of the Fujian flood period rainfall. By applying th period precipitation in Fujian in 2012, it is found that the model is capable its distribution in the flood period in Fujian. IC is tion equation is developed for model to predicting the flood to predict the precipitation and
出处
《气象》
CSCD
北大核心
2013年第9期1190-1196,共7页
Meteorological Monthly
基金
公益性行业(气象)科研专项(GYHY20110133-02)
福建省气象局开放式基金(2012K4)共同资助
关键词
气候统计预测
主分量分析
双重检验逐步回归
福建汛期降水
climatic statistical prediction, principal component analysis, double test step-wise regression,flood period rainfall in Fujian
