期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Enhancing Air Quality Forecasts over Catalonia(Spain)Using Model Output Statistics
1
作者 víctor andrés pérez Raúl Arasa +1 位作者 Bernat Codina Jesica pinón 《Journal of Geoscience and Environment Protection》 2015年第8期9-22,共14页
Model Output Statistics (MOS) is a well-known technique that allows improving outputs from numerical atmospheric models. In this contribution, we present the development of a MOS algorithm to improve air quality forec... Model Output Statistics (MOS) is a well-known technique that allows improving outputs from numerical atmospheric models. In this contribution, we present the development of a MOS algorithm to improve air quality forecasts in Catalonia, a region in the northeast of Spain. These forecasts are obtained from an Eulerian coupled air quality modelling system developed by Meteosim. Nitrogen Dioxide (NO2), Particulate Matter (PM10) and Ozone (03) have been the pollutants considered and the methodology has been applied on statistical values of these pollutants according to regulatory levels. Four MOS algorithms have been developed, characterized by different approaches in relation with seasonal stratification and stratification according to the measurement stations considered. Algorithms have been compared among them in order to obtain a MOS that reduces the forecast uncertainties. Results obtained show that the best MOS designed increases the accuracy of NO2 maximum 1&#45h daily value forecast from 71% to 75%, from 68% to 81% in the case of daily values of PM10, and finally, the accuracy of O3 maximum 1-h daily value from 79% to 87%. 展开更多
关键词 Air Quality Modelling Forecasting Model Output Statistics(MOS)
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部