Air quality modelling in the Berlin–Brandenburg region using WRF-Chem v3.7.1: sensitivity to resolution of model grid and input data

Kuik, Friderike; Lauer, Axel; Churkina, Galina; Denier van der Gon, Hugo A. C.; Fenner, Daniel; Mar, Kathleen A.; Butler, Tim M.

doi:https://doi.org/10.5194/gmd-9-4339-2016

Articles | Volume 9, issue 12

https://doi.org/10.5194/gmd-9-4339-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

The community version of the Weather Research and Forecasting...

https://doi.org/10.5194/gmd-9-4339-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 12

Model evaluation paper

|

05 Dec 2016

Model evaluation paper |

| 05 Dec 2016

Air quality modelling in the Berlin–Brandenburg region using WRF-Chem v3.7.1: sensitivity to resolution of model grid and input data

Friderike Kuik, Axel Lauer, Galina Churkina, Hugo A. C. Denier van der Gon, Daniel Fenner, Kathleen A. Mar, and Tim M. Butler

Supplement

https://doi.org/10.5194/gmd-9-4339-2016-supplement

Data sets

CORINE land cover data 2006 EEA (European Environment Agency) http://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2006-raster-3

RS92 GRUAN Data Product Version 2 (RS92-GDP.2) M. Sommer, R. Dirksen, and F. Immler https://doi.org/10.5676/GRUAN/RS92-GDP.2

Short summary

The study evaluates the performance of a setup of the Weather Research and Forecasting model with chemistry and aerosols (WRF–Chem) for the Berlin–Brandenburg region of Germany. Its sensitivity to updating urban input parameters based on structural data for Berlin is tested, specifying land use classes on a sub-grid scale, downscaling the original emissions to a resolution of ca. 1 km by 1 km for Berlin based on proxy data and model resolution.