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利用Kappa统计值研究多种空气质量预报方法的一致性
引用本文:侯宜广,赵瑾,董玉昆,孙建印.利用Kappa统计值研究多种空气质量预报方法的一致性[J].气象,2011,37(2):232-236.
作者姓名:侯宜广  赵瑾  董玉昆  孙建印
作者单位:江苏省徐州市气象局,徐州,221002
摘    要:采用基于权重Kappa统计值的方法,在剔除了由于偶然性和随机性造成的一致性的基础上,对三种常用的空气质量预报方法的预测结果的一致性进行了衡量.结果表明,"数值模式预报"与"综合经验预报"的预测结果为"中等的一致性",说明其预测结果的一致性并不是由于偶然性造成的.衡量结果是清晰的,避免了来自主观评价的差异.从而,有利于提高对不同模型预测结果的差异性的认识,对进一步提高空气质量预报的准确度有着重要意义.

关 键 词:空气质量预报  权重Kappa统计值  一致性
收稿时间:2009/12/15 0:00:00
修稿时间:2010/7/28 0:00:00

Study on the Consistency of Air Quality Forecasting Methods Using Kappa Statistic
HOU Yiguang,ZHAO Jin,DONG Yukun and SUN Jianyin.Study on the Consistency of Air Quality Forecasting Methods Using Kappa Statistic[J].Meteorological Monthly,2011,37(2):232-236.
Authors:HOU Yiguang  ZHAO Jin  DONG Yukun and SUN Jianyin
Institution:HOU Yiguang ZHAO Jin DONG Yukun SUN Jianyin Xuzhou Meteorological Office of Jiangsu Province,Xuzhou 221002
Abstract:Using Kappa value and taking out the impact of chance and random this paper measures the interagreement of predictive results of three different air quality forecasting methods.The result shows that, the predicting results of both numerical model forecasting and synthesis experience forecasting are of medium identities,and they are not casual.The results measured are clear,and the differences from subjective assessment can be avoided.Furthermore,this research would promote the understanding of different for...
Keywords:air quality forecasting  weighted Kappa value  inter-agreement  
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