Articles | Volume 17, issue 4
https://doi.org/10.5194/acp-17-3001-2017
https://doi.org/10.5194/acp-17-3001-2017
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, Roberto Bianconi, Christian Hogrefe, Gabriele Curci, Paolo Tuccella, Ummugulsum Alyuz, Alessandra Balzarini, Rocío Baró, Roberto Bellasio, Johannes Bieser, Jørgen Brandt, Jesper H. Christensen, Augistin Colette, Xavier Francis, Andrea Fraser, Marta Garcia Vivanco, Pedro Jiménez-Guerrero, Ulas Im, Astrid Manders, Uarporn Nopmongcol, Nutthida Kitwiroon, Guido Pirovano, Luca Pozzoli, Marje Prank, Ranjeet S. Sokhi, Alper Unal, Greg Yarwood, and Stefano Galmarini

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Efisio Solazzo on behalf of the Authors (09 Jan 2017)  Author's response   Manuscript 
ED: Publish as is (17 Jan 2017) by Robert Harley
AR by Efisio Solazzo on behalf of the Authors (20 Jan 2017)  Manuscript 
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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.
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