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.
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.
the Creative Commons Attribution 3.0 License.
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
Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
Katrin Zink
Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
Dietmar Oettl
Air Quality Control, Government of Styria, Landhausgasse 7, 8010 Graz, Styria, Austria
Jürg Brunner
Office for Environment and Health protection, City of Zürich, Zürich, Switzerland
Lukas Emmenegger
Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
Dominik Brunner
Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
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Cited
19 citations as recorded by crossref.
- Infection Risk Assessment of COVID-19 through Aerosol Transmission: a Case Study of South China Seafood Market X. Zhang et al. 10.1021/acs.est.0c02895
- Information Theory Solution Approach to the Air Pollution Sensor Location–Allocation Problem Z. Mano et al. 10.3390/s22103808
- Evaluation of the GRAMM/GRAL model for high-resolution wind fields in Heidelberg, Germany M. May et al. 10.1016/j.atmosres.2023.107207
- Optimal Wireless Distributed Sensor Network Design and Ad-Hoc Deployment in a Chemical Emergency Situation S. Kendler & B. Fishbain 10.3390/s22072563
- Impact of vehicular emissions in an urban area of the Po valley by microscale simulation with the GRAL dispersion model S. Fabbi et al. 10.1088/1755-1315/296/1/012006
- Towards the coupling of a chemical transport model with a micro-scale Lagrangian modelling system for evaluation of urban NOx levels in a European hotspot G. Veratti et al. 10.1016/j.atmosenv.2020.117285
- Atmospheric dispersion of chemical, biological, and radiological hazardous pollutants: Informing risk assessment for public safety X. Zhang & J. Wang 10.1016/j.jnlssr.2022.09.001
- Optimising urban measurement networks for CO2 flux estimation: a high-resolution observing system simulation experiment using GRAMM/GRAL S. Vardag & R. Maiwald 10.5194/gmd-17-1885-2024
- Lowering mortality risks in urban areas by containing atmospheric pollution E. Demetriou & C. Hadjistassou 10.1016/j.envres.2022.113096
- Urban population exposure forecast system to predict NO2 impact by a building-resolving multi-scale model approach G. Veratti et al. 10.1016/j.atmosenv.2021.118566
- Graz Lagrangian Model (GRAL) for Pollutants Tracking and Estimating Sources Partial Contributions to Atmospheric Pollution in Highly Urbanized Areas A. Romanov et al. 10.3390/atmos11121375
- Bayesian source identification of urban-scale air pollution from point and field concentration measurements E. Al Aawar et al. 10.1007/s10596-023-10206-5
- The Lagrangian Atmospheric Radionuclide Transport Model (ARTM) – sensitivity studies and evaluation using airborne measurements of power plant emissions R. Hanfland et al. 10.5194/acp-24-2511-2024
- Influence of Aviation Emission on the Particle Number Concentration near Zurich Airport X. Zhang et al. 10.1021/acs.est.0c02249
- Odour assessment in the vicinity of a pig-fatting farm using field inspections (EN 16841-1) and dispersion modelling D. Oettl et al. 10.1016/j.atmosenv.2018.03.029
- Three-dimensional spatial inhomogeneity of traffic-generated urban PM2.5 in street canyons C. Lee et al. 10.1016/j.apr.2023.101748
- Environmental efficiency of the fossil fuels to electricity transition in Eastern Siberia cities A. Romanov et al. 10.1016/j.apr.2023.101672
- Odour impact assessment by considering short-term ambient concentrations: A multi-model and two-site comparison M. Invernizzi et al. 10.1016/j.envint.2020.105990
- A comparative study of mesoscale flow-field modelling in an Eastern Alpine region using WRF and GRAMM-SCI D. Oettl & G. Veratti 10.1016/j.atmosres.2020.105288
19 citations as recorded by crossref.
- Infection Risk Assessment of COVID-19 through Aerosol Transmission: a Case Study of South China Seafood Market X. Zhang et al. 10.1021/acs.est.0c02895
- Information Theory Solution Approach to the Air Pollution Sensor Location–Allocation Problem Z. Mano et al. 10.3390/s22103808
- Evaluation of the GRAMM/GRAL model for high-resolution wind fields in Heidelberg, Germany M. May et al. 10.1016/j.atmosres.2023.107207
- Optimal Wireless Distributed Sensor Network Design and Ad-Hoc Deployment in a Chemical Emergency Situation S. Kendler & B. Fishbain 10.3390/s22072563
- Impact of vehicular emissions in an urban area of the Po valley by microscale simulation with the GRAL dispersion model S. Fabbi et al. 10.1088/1755-1315/296/1/012006
- Towards the coupling of a chemical transport model with a micro-scale Lagrangian modelling system for evaluation of urban NOx levels in a European hotspot G. Veratti et al. 10.1016/j.atmosenv.2020.117285
- Atmospheric dispersion of chemical, biological, and radiological hazardous pollutants: Informing risk assessment for public safety X. Zhang & J. Wang 10.1016/j.jnlssr.2022.09.001
- Optimising urban measurement networks for CO2 flux estimation: a high-resolution observing system simulation experiment using GRAMM/GRAL S. Vardag & R. Maiwald 10.5194/gmd-17-1885-2024
- Lowering mortality risks in urban areas by containing atmospheric pollution E. Demetriou & C. Hadjistassou 10.1016/j.envres.2022.113096
- Urban population exposure forecast system to predict NO2 impact by a building-resolving multi-scale model approach G. Veratti et al. 10.1016/j.atmosenv.2021.118566
- Graz Lagrangian Model (GRAL) for Pollutants Tracking and Estimating Sources Partial Contributions to Atmospheric Pollution in Highly Urbanized Areas A. Romanov et al. 10.3390/atmos11121375
- Bayesian source identification of urban-scale air pollution from point and field concentration measurements E. Al Aawar et al. 10.1007/s10596-023-10206-5
- The Lagrangian Atmospheric Radionuclide Transport Model (ARTM) – sensitivity studies and evaluation using airborne measurements of power plant emissions R. Hanfland et al. 10.5194/acp-24-2511-2024
- Influence of Aviation Emission on the Particle Number Concentration near Zurich Airport X. Zhang et al. 10.1021/acs.est.0c02249
- Odour assessment in the vicinity of a pig-fatting farm using field inspections (EN 16841-1) and dispersion modelling D. Oettl et al. 10.1016/j.atmosenv.2018.03.029
- Three-dimensional spatial inhomogeneity of traffic-generated urban PM2.5 in street canyons C. Lee et al. 10.1016/j.apr.2023.101748
- Environmental efficiency of the fossil fuels to electricity transition in Eastern Siberia cities A. Romanov et al. 10.1016/j.apr.2023.101672
- Odour impact assessment by considering short-term ambient concentrations: A multi-model and two-site comparison M. Invernizzi et al. 10.1016/j.envint.2020.105990
- A comparative study of mesoscale flow-field modelling in an Eastern Alpine region using WRF and GRAMM-SCI D. Oettl & G. Veratti 10.1016/j.atmosres.2020.105288
Latest update: 18 Apr 2024
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.
We evaluate a new cost-effective method to simulate pollutant dispersion at high resolution on a...
