Articles | Volume 8, issue 7
https://doi.org/10.5194/gmd-8-2119-2015
https://doi.org/10.5194/gmd-8-2119-2015
Development and technical paper
 | 
16 Jul 2015
Development and technical paper |  | 16 Jul 2015

Evaluation of the high resolution WRF-Chem (v3.4.1) air quality forecast and its comparison with statistical ozone predictions

R. Žabkar, L. Honzak, G. Skok, R. Forkel, J. Rakovec, A. Ceglar, and N. Žagar

Related authors

Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models
M. Bocquet, H. Elbern, H. Eskes, M. Hirtl, R. Žabkar, G. R. Carmichael, J. Flemming, A. Inness, M. Pagowski, J. L. Pérez Camaño, P. E. Saide, R. San Jose, M. Sofiev, J. Vira, A. Baklanov, C. Carnevale, G. Grell, and C. Seigneur
Atmos. Chem. Phys., 15, 5325–5358, https://doi.org/10.5194/acp-15-5325-2015,https://doi.org/10.5194/acp-15-5325-2015, 2015
Short summary

Related subject area

Atmospheric sciences
The MESSy DWARF (based on MESSy v2.55.2)
Astrid Kerkweg, Timo Kirfel, Duong H. Do, Sabine Griessbach, Patrick Jöckel, and Domenico Taraborrelli
Geosci. Model Dev., 18, 1265–1286, https://doi.org/10.5194/gmd-18-1265-2025,https://doi.org/10.5194/gmd-18-1265-2025, 2025
Short summary
An enhanced emission module for the PALM model system 23.10 with application for PM10 emission from urban domestic heating
Edward C. Chan, Ilona J. Jäkel, Basit Khan, Martijn Schaap, Timothy M. Butler, Renate Forkel, and Sabine Banzhaf
Geosci. Model Dev., 18, 1119–1139, https://doi.org/10.5194/gmd-18-1119-2025,https://doi.org/10.5194/gmd-18-1119-2025, 2025
Short summary
Identifying lightning processes in ERA5 soundings with deep learning
Gregor Ehrensperger, Thorsten Simon, Georg J. Mayr, and Tobias Hell
Geosci. Model Dev., 18, 1141–1153, https://doi.org/10.5194/gmd-18-1141-2025,https://doi.org/10.5194/gmd-18-1141-2025, 2025
Short summary
Sensitivity of predicted ultrafine particle size distributions in Europe to different nucleation rate parameterizations using PMCAMx-UF v2.2
David Patoulias, Kalliopi Florou, and Spyros N. Pandis
Geosci. Model Dev., 18, 1103–1118, https://doi.org/10.5194/gmd-18-1103-2025,https://doi.org/10.5194/gmd-18-1103-2025, 2025
Short summary
Explaining neural networks for detection of tropical cyclones and atmospheric rivers in gridded atmospheric simulation data
Tim Radke, Susanne Fuchs, Christian Wilms, Iuliia Polkova, and Marc Rautenhaus
Geosci. Model Dev., 18, 1017–1039, https://doi.org/10.5194/gmd-18-1017-2025,https://doi.org/10.5194/gmd-18-1017-2025, 2025
Short summary

Cited articles

Ackermann, I. J., Hass, H., Memmesheimer, M., Ziegenbein, C., and Ebel, A.: The parameterization of the sulfate-nitrate-ammonia aerosol system in the long-range transport model EURAD, Meteorological Atmospheric Physics, 57, 101–114, 1995.
ALADIN International Team, The ALADIN project: Mesoscale modelling seen as a basic tool for weather forecasting and atmospheric research, WMO Bull., 46, 317–324, 1997.
Baklanov, A.: Chemical weather forecasting: a new concept of integrated modeling. Adv. Sci. Res., 4, 23–27, 2010.
Baklanov, A., Korsholm, U., Mahura, A., Petersen, C., and Gross, A.: Enviro-HIRLAM: on-line coupled modelling of urban meteorology and air pollution, Adv. Sci. Res., 2, 41–46, 2008.
Download
Share