Ensemble forecasts of air quality in eastern China – Part 2: Evaluation of the MarcoPolo–Panda prediction system, version 1

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.

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Author Petersen, A. K.
Brasseur, Guy
Bouarar, I.
Flemming, J.
Gauss, M.
Jiang, F.
Kouznetsov, R.
Kranenburg, R.
Mijling, B.
Peuch, V.
Pommier, M.
Segers, A.
Sofiev, M.
Timmermans, R.
van der A, R.
Walters, Stacy
Xie, Y.
Xu, J.
Zhou, G.
Publisher UCAR/NCAR - Library
Publication Date 2019-04-02T00:00:00
Digital Object Identifier (DOI) Not Assigned
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Resource Version N/A
Topic Category geoscientificInformation
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Metadata Date 2025-07-11T19:29:50.938932
Metadata Record Identifier edu.ucar.opensky::articles:22454
Metadata Language eng; USA
Suggested Citation Petersen, A. K., Brasseur, Guy, Bouarar, I., Flemming, J., Gauss, M., Jiang, F., Kouznetsov, R., Kranenburg, R., Mijling, B., Peuch, V., Pommier, M., Segers, A., Sofiev, M., Timmermans, R., van der A, R., Walters, Stacy, Xie, Y., Xu, J., Zhou, G.. (2019). Ensemble forecasts of air quality in eastern China – Part 2: Evaluation of the MarcoPolo–Panda prediction system, version 1. UCAR/NCAR - Library. https://n2t.org/ark:/85065/d7j67kzd. Accessed 31 July 2025.

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