Articles | Volume 13, issue 11
Geosci. Model Dev., 13, 5725–5736, 2020
https://doi.org/10.5194/gmd-13-5725-2020
Geosci. Model Dev., 13, 5725–5736, 2020
https://doi.org/10.5194/gmd-13-5725-2020

Methods for assessment of models 23 Nov 2020

Methods for assessment of models | 23 Nov 2020

Prioritising the sources of pollution in European cities: do air quality modelling applications provide consistent responses?

Bart Degraeuwe et al.

Related authors

Non-linear response of PM2.5 to changes in NOx and NH3 emissions in the Po basin (Italy): consequences for air quality plans
Philippe Thunis, Alain Clappier, Matthias Beekmann, Jean Philippe Putaud, Cornelis Cuvelier, Jessie Madrazo, and Alexander de Meij
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2021-65,https://doi.org/10.5194/acp-2021-65, 2021
Revised manuscript accepted for ACP
Short summary
Impacts of the COVID-19 lockdown on air pollution at regional and urban background sites in northern Italy
Jean-Philippe Putaud, Luca Pozzoli, Enrico Pisoni, Sebastiao Martins Dos Santos, Friedrich Lagler, Guido Lanzani, Umberto Dal Santo, and Augustin Colette
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-755,https://doi.org/10.5194/acp-2020-755, 2020
Revised manuscript accepted for ACP
Short summary
Sensitivity of air quality modelling to different emission inventories: a case study over Europe
Philippe Thunis, Monica Crippa, Cornelis Cuvelier, Diego Guizzardi, Alexander De Meij, Gabriel Oreggioni, and Enrico Pisoni
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-144,https://doi.org/10.5194/essd-2020-144, 2020
Preprint withdrawn
Short summary
Source apportionment and sensitivity analysis: two methodologies with two different purposes
Alain Clappier, Claudio A. Belis, Denise Pernigotti, and Philippe Thunis
Geosci. Model Dev., 10, 4245–4256, https://doi.org/10.5194/gmd-10-4245-2017,https://doi.org/10.5194/gmd-10-4245-2017, 2017
Short summary
Presentation of the EURODELTA III intercomparison exercise – evaluation of the chemistry transport models' performance on criteria pollutants and joint analysis with meteorology
Bertrand Bessagnet, Guido Pirovano, Mihaela Mircea, Cornelius Cuvelier, Armin Aulinger, Giuseppe Calori, Giancarlo Ciarelli, Astrid Manders, Rainer Stern, Svetlana Tsyro, Marta García Vivanco, Philippe Thunis, Maria-Teresa Pay, Augustin Colette, Florian Couvidat, Frédérik Meleux, Laurence Rouïl, Anthony Ung, Sebnem Aksoyoglu, José María Baldasano, Johannes Bieser, Gino Briganti, Andrea Cappelletti, Massimo D'Isidoro, Sandro Finardi, Richard Kranenburg, Camillo Silibello, Claudio Carnevale, Wenche Aas, Jean-Charles Dupont, Hilde Fagerli, Lucia Gonzalez, Laurent Menut, André S. H. Prévôt, Pete Roberts, and Les White
Atmos. Chem. Phys., 16, 12667–12701, https://doi.org/10.5194/acp-16-12667-2016,https://doi.org/10.5194/acp-16-12667-2016, 2016
Short summary

Related subject area

Atmospheric sciences
The Environment and Climate Change Canada Carbon Assimilation System (EC-CAS v1.0): demonstration with simulated CO observations
Vikram Khade, Saroja M. Polavarapu, Michael Neish, Pieter L. Houtekamer, Dylan B. A. Jones, Seung-Jong Baek, Tai-Long He, and Sylvie Gravel
Geosci. Model Dev., 14, 2525–2544, https://doi.org/10.5194/gmd-14-2525-2021,https://doi.org/10.5194/gmd-14-2525-2021, 2021
Short summary
WRF4PALM v1.0: a mesoscale dynamical driver for the microscale PALM model system 6.0
Dongqi Lin, Basit Khan, Marwan Katurji, Leroy Bird, Ricardo Faria, and Laura E. Revell
Geosci. Model Dev., 14, 2503–2524, https://doi.org/10.5194/gmd-14-2503-2021,https://doi.org/10.5194/gmd-14-2503-2021, 2021
Short summary
pyPI (v1.3): Tropical Cyclone Potential Intensity Calculations in Python
Daniel M. Gilford
Geosci. Model Dev., 14, 2351–2369, https://doi.org/10.5194/gmd-14-2351-2021,https://doi.org/10.5194/gmd-14-2351-2021, 2021
Short summary
Comparison of three aerosol representations of NHM-Chem (v1.0) for the simulations of air quality and climate-relevant variables
Mizuo Kajino, Makoto Deushi, Tsuyoshi Thomas Sekiyama, Naga Oshima, Keiya Yumimoto, Taichu Yasumichi Tanaka, Joseph Ching, Akihiro Hashimoto, Tetsuya Yamamoto, Masaaki Ikegami, Akane Kamada, Makoto Miyashita, Yayoi Inomata, Shin-ichiro Shima, Pradeep Khatri, Atsushi Shimizu, Hitoshi Irie, Kouji Adachi, Yuji Zaizen, Yasuhito Igarashi, Hiromasa Ueda, Takashi Maki, and Masao Mikami
Geosci. Model Dev., 14, 2235–2264, https://doi.org/10.5194/gmd-14-2235-2021,https://doi.org/10.5194/gmd-14-2235-2021, 2021
Short summary
JlBox v1.1: a Julia-based multi-phase atmospheric chemistry box model
Langwen Huang and David Topping
Geosci. Model Dev., 14, 2187–2203, https://doi.org/10.5194/gmd-14-2187-2021,https://doi.org/10.5194/gmd-14-2187-2021, 2021
Short summary

Cited articles

Carnevale, C., Finzi, G., Pisoni, E., and Volta, M.: Neuro-fuzzy and neural network systems for air quality control, Atmos. Environ., 43, 4811–4821, 2009. 
Clappier, A., Pisoni, E., and Thunis, P.: A new approach to design source-receptor relationships for air quality modelling, Environ. Modell. Softw., 74, 66–74, 2015. 
Download
Short summary
To make decisions on how to improve air quality, it is useful to identify the main sources of pollution for an area of interest. Often these sources of pollution are identified with complex models that, even if accurate, are time consuming and complex. In this work we use another approach, simplified models, to accomplish the same task. The results, computed with two different set of simplified models, show the main sources of pollution for selected cities, and the associated uncertainties.