Ensemble forecasts of air quality in eastern China-Part 2: Evaluation of the MarcoPolo-Panda prediction system, version 1
article
An operational multimodel forecasting system for air quality has been developed to provide air quality services for urban areas of China. The initial forecasting system included seven state-of-the-art computational models developed and executed in Europe and China (CHIMERE, IFS, EMEP MSC-W, WRF-Chem-MPIM, WRF-Chem-SMS, LOTOS-EUROS, and SILAMtest). Several other models joined the prediction system recently, but are not considered in the present analysis. In addition to the individual models, a simple multimodel ensemble was constructed by deriving statistical quantities such as the median and the mean of the predicted concentrations. ©2019 Author(s).
Topics
TNO Identifier
866586
ISSN
1991959X
Source
Geoscientific Model Development, 12(3), pp. 1-26.
Publisher
Copernicus GmbH
Article nr.
12
Pages
1-26