Articles | Volume 7, issue 24
https://doi.org/10.5194/acp-7-6085-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/acp-7-6085-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
11 Dec 2007
Seeking for the rational basis of the Median Model: the optimal combination of multi-model ensemble results
A. Riccio
Dept. of Applied Science, University of Naples "Parthenope", Napoli, Italy
G. Giunta
Dept. of Applied Science, University of Naples "Parthenope", Napoli, Italy
S. Galmarini
European Commission – DG Joint Research Centre, Institute for Environment and Sustainability, Ispra, Italy
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- Real-time air quality forecasting, part II: State of the science, current research needs, and future prospects Y. Zhang et al. 10.1016/j.atmosenv.2012.02.041
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- A framework for evaluating regional-scale numerical photochemical modeling systems R. Dennis et al. 10.1007/s10652-009-9163-2
- Ensemble forecasts of air quality in eastern China – Part 1: Model description and implementation of the MarcoPolo–Panda prediction system, version 1 G. Brasseur et al. 10.5194/gmd-12-33-2019
- Emission ensemble approach to improve the development of multi-scale emission inventories P. Thunis et al. 10.5194/gmd-17-3631-2024
- Est modus in rebus: analytical properties of multi-model ensembles S. Potempski & S. Galmarini 10.5194/acp-9-9471-2009
- A refinement of the emission data for Kola Peninsula based on inverse dispersion modelling M. Prank et al. 10.5194/acp-10-10849-2010
- Kalman filter-based air quality forecast adjustment K. De Ridder et al. 10.1016/j.atmosenv.2012.01.032
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- A review of operational, regional-scale, chemical weather forecasting models in Europe J. Kukkonen et al. 10.5194/acp-12-1-2012
- Residual correlation and ensemble modelling to improve crop and grassland models R. Sándor et al. 10.1016/j.envsoft.2023.105625
- Insights into the deterministic skill of air quality ensembles from the analysis of AQMEII data I. Kioutsioukis et al. 10.5194/acp-16-15629-2016
- Intercomparison of Air Quality Models in a Megacity: Toward an Operational Ensemble Forecasting System for São Paulo A. Deroubaix et al. 10.1029/2022JD038179
- Impacts of the COVID-19 lockdown on air pollution at regional and urban background sites in northern Italy J. Putaud et al. 10.5194/acp-21-7597-2021
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- Skill and uncertainty of a regional air quality model ensemble R. Vautard et al. 10.1016/j.atmosenv.2008.09.083
- Ensemble forecasting with machine learning algorithms for ozone, nitrogen dioxide and PM10 on the Prev'Air platform E. Debry & V. Mallet 10.1016/j.atmosenv.2014.03.049
- Iterative Probabilistic Approach for Selection of Time-Varying Model Classes K. Hoi et al. 10.1016/j.proeng.2011.07.325
- Ensemble Techniques to Improve Air Quality Assessment: Focus on O3 and PM A. Monteiro et al. 10.1007/s10666-012-9344-0
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