Kalman Filter-Based Air Quality Forecast Adjustment

被引：2
|
作者：
De Ridder, Koen [1 ]
Kumar, Ujjwal [1 ]
Lauwaet, Dirk [1 ]
Van Looy, Stijn [1 ]
Lefebvre, Wouter [1 ]
机构：
[1] VITO Flemish Inst Technol Res, Mol, Belgium
来源：
AIR POLLUTION MODELING AND ITS APPLICATION XXII | 2014年
关键词：
Kalman filter; Air quality forecast; AURORA; POPULATION EXPOSURE;
D O I：
10.1007/978-94-007-5577-2_30
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
We describe the implementation of a Kalman filter-based adjustment scheme for the correction of deterministic air quality forecast results. This scheme exploits the information on the mismatch between the deterministic forecast and observations of the prior period to calculate correction regression coefficients for the next forecast step. This method was applied to ground-level daily O-3 and PM10 concentration fields simulated by the regional-scale deterministic air quality model AURORA for the year 2007, for a domain covering Belgium, and employing observations from the AirBase data archive. From a cross-validation analysis, it was found that the correction method improved the accuracy of daily mean PM10 and daily maximum O-3 concentrations substantially.
引用
收藏
页码：177 / 181
页数：5
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