Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 13, issue 9
Articles | Volume 13, issue 9
https://doi.org/10.5194/gmd-13-3947-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-3947-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 9
Model evaluation paper
 | 
03 Sep 2020
Model evaluation paper |  | 03 Sep 2020

An exploratory performance assessment of the CHIMERE model (version 2017r4) for the northwestern Iberian Peninsula and the summer season

Swen Brands, Guillermo Fernández-García, Marta García Vivanco, Marcos Tesouro Montecelo, Nuria Gallego Fernández, Anthony David Saunders Estévez, Pablo Enrique Carracedo García, Anabela Neto Venâncio, Pedro Melo Da Costa, Paula Costa Tomé, Cristina Otero, María Luz Macho, and Juan Taboada

Supplement

https://doi.org/10.5194/gmd-13-3947-2020-supplement

Data sets

NCEP GFS 0.25 Degree Global Forecast Grids Historical Archive NCEP, NWS, NOAA, and DOC https://doi.org/10.5065/D65D8PWK

Model code and software

Weather Research and Forecasting (WRF) Model. Version 3.5.1 WRF-Community https://doi.org/10.5065/D6MK6B4K

Underlying experimental data for "An exploratory performance assessment of the CHIMERE model (version 2017r4) for the northwestern Iberian Peninsula and the summer season" (Version 2) Swen Brands https://doi.org/10.5281/zenodo.3909451

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Short summary
The capability of numerical models to predict air quality depends on many factors. Here, the role of the applied model resolution, emission configuration and model chemistry is assessed for the CHIMERE model and the northwestern Iberian Peninsula. Although heterogeneous results are obtained, the forecasts can be systematically improved by increasing the vertical resolution in the lower and middle troposphere. This finding might also apply to other regions with similar characteristics.
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