Articles | Volume 12, issue 3
https://doi.org/10.5194/gmd-12-1241-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-1241-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
02 Apr 2019
Model evaluation paper |
| 02 Apr 2019
| 02 Apr 2019
Ensemble forecasts of air quality in eastern China – Part 2: Evaluation of the MarcoPolo–Panda prediction system, version 1
Anna Katinka Petersen
CORRESPONDING AUTHOR
Max Planck Institute for Meteorology, Hamburg, Germany
Guy P. Brasseur
Max Planck Institute for Meteorology, Hamburg, Germany
National Center for Atmospheric Research, Boulder, CO, USA
Idir Bouarar
Max Planck Institute for Meteorology, Hamburg, Germany
Johannes Flemming
European Centre for Medium-Range Weather Forecasts, Reading, UK
Michael Gauss
Norwegian Meteorological Institute, Oslo, Norway
Fei Jiang
Nanjing University, Nanjing, China
Rostislav Kouznetsov
Finnish Meteorological Institute, Helsinki, Finland
Richard Kranenburg
TNO, Utrecht, the Netherlands
Bas Mijling
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Vincent-Henri Peuch
European Centre for Medium-Range Weather Forecasts, Reading, UK
Matthieu Pommier
Norwegian Meteorological Institute, Oslo, Norway
Arjo Segers
TNO, Utrecht, the Netherlands
Mikhail Sofiev
Finnish Meteorological Institute, Helsinki, Finland
Renske Timmermans
TNO, Utrecht, the Netherlands
Ronald van der A
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Nanjing University of Information Science and Technology, Nanjing, China
Stacy Walters
National Center for Atmospheric Research, Boulder, CO, USA
Ying Xie
Shanghai Meteorological Service, Shanghai, China
Jianming Xu
Shanghai Meteorological Service, Shanghai, China
Guangqiang Zhou
Shanghai Meteorological Service, Shanghai, China
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Latest update: 22 Nov 2024
Short summary
An operational multi-model forecasting system for air quality is providing daily forecasts of ozone, nitrogen oxides, and particulate matter for 37 urban areas of China. The paper presents the evaluation of the different forecasts performed during the first year of operation.
An operational multi-model forecasting system for air quality is providing daily forecasts of...
