Articles | Volume 17, issue 4
https://doi.org/10.5194/acp-17-3001-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-3001-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
28 Feb 2017
Research article |
| 28 Feb 2017
Evaluation and error apportionment of an ensemble of atmospheric chemistry transport modeling systems: multivariable temporal and spatial breakdown
Efisio Solazzo
CORRESPONDING AUTHOR
European Commission, Joint Research Centre (JRC), Directorate for Energy,
Transport and Climate, Air and Climate Unit, Ispra (VA), Italy
Roberto Bianconi
Enviroware srl, Concorezzo, MB, Italy
Christian Hogrefe
Environmental Protection Agency, Computational Exposure Division, National Exposure Research Laboratory, Office of Research and Development, Research Triangle Park, NC 27711, USA
Gabriele Curci
CETEMPS, University of L'Aquila, L'Aquila, Italy
Dept. Physical and Chemical Sciences, University of L'Aquila, L'Aquila, Italy
Paolo Tuccella
Dept. Physical and Chemical Sciences, University of L'Aquila, L'Aquila, Italy
Ummugulsum Alyuz
Eurasia Institute of Earth Sciences, Istanbul Technical University, Istanbul, Turkey
Alessandra Balzarini
Ricerca sul Sistema Energetico (RSE SpA), Milan, Italy
Rocío Baró
University of Murcia, Department of Physics, Physics of the Earth, Campus
de Espinardo, Ed. CIOyN, 30100 Murcia, Spain
Roberto Bellasio
Enviroware srl, Concorezzo, MB, Italy
Johannes Bieser
Institute of Coastal Research, Chemistry Transport Modelling Group,
Helmholtz-Zentrum Geesthacht, Germany
Jørgen Brandt
Aarhus University, Department of Environmental Science, Frederiksborgvej
399, 4000 Roskilde, Denmark
Jesper H. Christensen
Aarhus University, Department of Environmental Science, Frederiksborgvej
399, 4000 Roskilde, Denmark
Augistin Colette
INERIS, Institut National de l'Environnement Industriel et des Risques,
Parc Alata, 60550 Verneuil-en-Halatte, France
Xavier Francis
Centre for Atmospheric and Instrumentation Research (CAIR), University of
Hertfordshire, Hatfield, UK
Andrea Fraser
Ricardo Energy & Environment, Gemini Building, Fermi Avenue, Harwell,
Oxon, OX11 0QR, UK
Marta Garcia Vivanco
INERIS, Institut National de l'Environnement Industriel et des Risques,
Parc Alata, 60550 Verneuil-en-Halatte, France
CIEMAT. Avda. Complutense 40., 28040 Madrid, Spain
Pedro Jiménez-Guerrero
University of Murcia, Department of Physics, Physics of the Earth, Campus
de Espinardo, Ed. CIOyN, 30100 Murcia, Spain
Aarhus University, Department of Environmental Science, Frederiksborgvej
399, 4000 Roskilde, Denmark
Astrid Manders
Netherlands Organization for Applied Scientific Research (TNO), Utrecht,
the Netherlands
Uarporn Nopmongcol
Ramboll Environ, 773 San Marin Drive, Suite 2115, Novato, CA 94998, USA
Nutthida Kitwiroon
Environmental Research Group, Kings' College London, London, UK
Guido Pirovano
Ricerca sul Sistema Energetico (RSE SpA), Milan, Italy
Luca Pozzoli
Eurasia Institute of Earth Sciences, Istanbul Technical University, Istanbul, Turkey
European Commission, Joint Research Centre (JRC), Directorate for Energy,
Transport and Climate, Air and Climate Unit, Ispra (VA), Italy
Marje Prank
Finnish Meteorological Institute, Atmospheric Composition Research Unit,
Helsinki, Finland
Ranjeet S. Sokhi
Centre for Atmospheric and Instrumentation Research (CAIR), University of
Hertfordshire, Hatfield, UK
Alper Unal
Eurasia Institute of Earth Sciences, Istanbul Technical University, Istanbul, Turkey
Greg Yarwood
Ramboll Environ, 773 San Marin Drive, Suite 2115, Novato, CA 94998, USA
Stefano Galmarini
European Commission, Joint Research Centre (JRC), Directorate for Energy,
Transport and Climate, Air and Climate Unit, Ispra (VA), Italy
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Latest update: 04 Dec 2025
Short summary
As part of the third phase of AQMEII, this study uses timescale analysis to apportion error to the responsible processes, detect causes of model error, and identify the processes and scales that require dedicated investigations. The analysis tackles model performance gauging through measurement-to-model comparison, error decomposition, and time series analysis of model biases for ozone, CO, SO2, NO, NO2, PM10, PM2.5, wind speed, and temperature over Europe and North America.
As part of the third phase of AQMEII, this study uses timescale analysis to apportion error to...
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