气象科学2017，Vol.37Issue(6)：839-844,6.DOI:10.3969/2017jms.0023
基于CUACE模式产品的订正方法比较研究
Comparative study of three correction methods for the CUACE model product
摘要
Abstract
Combining with the observed data and the assessment results of CUACE model products from March 2014 to February 2015,the results of China Meteorological Administration CUACE model products from March 2015 to February 2016 were revised by using simple linear regression,eliminating bias correction and rolling bias correction.Results show that the correction effect of the simple linear regression is the worst,and the method of eliminating bias correction can reduce the RMSE,MB and MNB values of PM10,SO2 and NO2 in winter,which can improve the prediction effect,but not suitable in other seasons.The RMSE,MB and MNB of SO2 and NO2 can be reduced by using the rolling bias correction method,and the correlation coefficient can be obviously improved except O3.关键词
CUACE/模式/偏差/订正Key words
CUACE/Model/Bias/Correction分类
资源环境引用本文复制引用
杨关盈,邓学良,王磊,翟菁,霍彦峰,于彩霞..基于CUACE模式产品的订正方法比较研究[J].气象科学,2017,37(6):839-844,6.基金项目
安徽省气象局预报员专项(ky201402) （ky201402）
安徽省气象局“安徽省环境气象研究与应用”创新团队、安徽省公益性研究联动计划项目(1604f0804003) （1604f0804003）
安徽省省级环境保护科研项目(2016-04) （2016-04）
