Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 10, issue 9
Articles | Volume 10, issue 9
https://doi.org/10.5194/gmd-10-3441-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-3441-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 10, issue 9
Model evaluation paper
 | 
19 Sep 2017
Model evaluation paper |  | 19 Sep 2017

Evaluation of high-resolution GRAMM–GRAL (v15.12/v14.8) NOx simulations over the city of Zürich, Switzerland

Antoine Berchet, Katrin Zink, Dietmar Oettl, Jürg Brunner, Lukas Emmenegger, and Dominik Brunner

Model code and software

Python interface for GRAMM/GRAL modelling system A. Berchet, K. Zink, and D. Brunner https://doi.org/10.5281/zenodo.840843

Graz Lagrangian Model - GRAL Technische Universität Graz http://lampx.tugraz.at/~gral/index.php

A cost-effective method for simulating city-wide air flow and pollutant dispersion at building resolving scale A. Berchet, K. Zink, C. Muller, D. Oettl, J. Brunner, L. Emmenegger, and D. Brunner https://doi.org/10.1016/j.atmosenv.2017.03.030

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Short summary
We evaluate a new cost-effective method to simulate pollutant dispersion at high resolution on a city-wide domain. The method is based on a catalogue of reference simulations matched to weather observations to produce a sequence of hourly pollution maps. A total of 2 years of simulations are compared with continuous measurements and passive NO2 samplers in the city of Zurich. Spatial and temporal variability proved to be very well reproduced by the method.
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