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Analysis of meteorology-chemistry interactions during air pollution episodes using online coupled models within AQMEII Phase-2. / Kong, Xin; Forkel, Renate ; Sokhi, Ranjeet; Suppan, Peter ; Baklanov, Alexander ; Gauss, Michael ; Brunner, Dominik ; Barò, Rocìo; Balzarini, Alessandra ; Chemel, C.; Curci, Gabriele; Jiménez-Guerrero, Pedro ; Hirtl, Marcus ; Honzakj, Luka ; Im, Ulas ; Pérez, Juan; Pirovano, Guido; San Jose, Roberto ; Schlünzenm, Heinke ; Tsegas, George ; Tuccella, Paolo ; Werhahn, Johannes ; Žabkar, Rahela ; Galmarini, Stefano .

In: Atmospheric Environment, Vol. 115, 08.2015, p. 527-540.

Research output: Contribution to journalArticlepeer-review

Harvard

Kong, X, Forkel, R, Sokhi, R, Suppan, P, Baklanov, A, Gauss, M, Brunner, D, Barò, R, Balzarini, A, Chemel, C, Curci, G, Jiménez-Guerrero, P, Hirtl, M, Honzakj, L, Im, U, Pérez, J, Pirovano, G, San Jose, R, Schlünzenm, H, Tsegas, G, Tuccella, P, Werhahn, J, Žabkar, R & Galmarini, S 2015, 'Analysis of meteorology-chemistry interactions during air pollution episodes using online coupled models within AQMEII Phase-2', Atmospheric Environment, vol. 115, pp. 527-540. https://doi.org/10.1016/j.atmosenv.2014.09.020

APA

Kong, X., Forkel, R., Sokhi, R., Suppan, P., Baklanov, A., Gauss, M., Brunner, D., Barò, R., Balzarini, A., Chemel, C., Curci, G., Jiménez-Guerrero, P., Hirtl, M., Honzakj, L., Im, U., Pérez, J., Pirovano, G., San Jose, R., Schlünzenm, H., ... Galmarini, S. (2015). Analysis of meteorology-chemistry interactions during air pollution episodes using online coupled models within AQMEII Phase-2. Atmospheric Environment, 115, 527-540. https://doi.org/10.1016/j.atmosenv.2014.09.020

Vancouver

Author

Kong, Xin ; Forkel, Renate ; Sokhi, Ranjeet ; Suppan, Peter ; Baklanov, Alexander ; Gauss, Michael ; Brunner, Dominik ; Barò, Rocìo ; Balzarini, Alessandra ; Chemel, C. ; Curci, Gabriele ; Jiménez-Guerrero, Pedro ; Hirtl, Marcus ; Honzakj, Luka ; Im, Ulas ; Pérez, Juan ; Pirovano, Guido ; San Jose, Roberto ; Schlünzenm, Heinke ; Tsegas, George ; Tuccella, Paolo ; Werhahn, Johannes ; Žabkar, Rahela ; Galmarini, Stefano . / Analysis of meteorology-chemistry interactions during air pollution episodes using online coupled models within AQMEII Phase-2. In: Atmospheric Environment. 2015 ; Vol. 115. pp. 527-540.

Bibtex

@article{947401c8a6cf4c40bdb494326092ea00,
title = "Analysis of meteorology-chemistry interactions during air pollution episodes using online coupled models within AQMEII Phase-2",
abstract = "This study reviews the top ranked meteorology and chemistry interactions in online coupled models recommended by an experts{\textquoteright} survey conducted in COST Action EuMetChem and examines the sensitivity of those interactions during two pollution episodes: the Russian forest fires 25 Jul -15 Aug 2010 and a Saharan dust transport event from 1 Oct -31 Oct 2010 as a part of the AQMEII phase-2 exercise. Three WRF-Chem model simulations were performed for the forest fire case for a baseline without any aerosol feedback on meteorology, a simulation with aerosol direct effects only and a simulation including both direct and indirect effects. For the dust case study, eight WRF-Chem and one WRF-CMAQ simulations were selected from the set of simulations conducted in the framework of AQMEII. Of these two simulations considered no feedbacks, two included direct effects only and five simulations included both direct and indirect effects. The results from both episodes demonstrate that it is important to include the meteorology and chemistry interactions in online-coupled models. Model evaluations using routine observations collected in AQMEII phase-2 and observations from a station in Moscow show that for the fire case the simulation including only aerosol direct effects has better performance than the simulations with no aerosol feedbacks or including both direct and indirect effects. The normalized mean biases are significantly reduced by 10-20% for PM10 when including aerosol direct effects. The analysis for the dust case confirms that models perform better when including aerosol direct effects, but worse when including both aerosol direct and indirect effects, which suggests that the representation of aerosol indirect effects needs to be improved in the model. ",
author = "Xin Kong and Renate Forkel and Ranjeet Sokhi and Peter Suppan and Alexander Baklanov and Michael Gauss and Dominik Brunner and Roc{\`i}o Bar{\`o} and Alessandra Balzarini and C. Chemel and Gabriele Curci and Pedro Jim{\'e}nez-Guerrero and Marcus Hirtl and Luka Honzakj and Ulas Im and Juan P{\'e}rez and Guido Pirovano and {San Jose}, Roberto and Heinke Schl{\"u}nzenm and George Tsegas and Paolo Tuccella and Johannes Werhahn and Rahela {\v Z}abkar and Stefano Galmarini",
note = "This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).",
year = "2015",
month = aug,
doi = "10.1016/j.atmosenv.2014.09.020",
language = "English",
volume = "115",
pages = "527--540",
journal = "Atmospheric Environment",
issn = "1352-2310",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Analysis of meteorology-chemistry interactions during air pollution episodes using online coupled models within AQMEII Phase-2

AU - Kong, Xin

AU - Forkel, Renate

AU - Sokhi, Ranjeet

AU - Suppan, Peter

AU - Baklanov, Alexander

AU - Gauss, Michael

AU - Brunner, Dominik

AU - Barò, Rocìo

AU - Balzarini, Alessandra

AU - Chemel, C.

AU - Curci, Gabriele

AU - Jiménez-Guerrero, Pedro

AU - Hirtl, Marcus

AU - Honzakj, Luka

AU - Im, Ulas

AU - Pérez, Juan

AU - Pirovano, Guido

AU - San Jose, Roberto

AU - Schlünzenm, Heinke

AU - Tsegas, George

AU - Tuccella, Paolo

AU - Werhahn, Johannes

AU - Žabkar, Rahela

AU - Galmarini, Stefano

N1 - This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).

PY - 2015/8

Y1 - 2015/8

N2 - This study reviews the top ranked meteorology and chemistry interactions in online coupled models recommended by an experts’ survey conducted in COST Action EuMetChem and examines the sensitivity of those interactions during two pollution episodes: the Russian forest fires 25 Jul -15 Aug 2010 and a Saharan dust transport event from 1 Oct -31 Oct 2010 as a part of the AQMEII phase-2 exercise. Three WRF-Chem model simulations were performed for the forest fire case for a baseline without any aerosol feedback on meteorology, a simulation with aerosol direct effects only and a simulation including both direct and indirect effects. For the dust case study, eight WRF-Chem and one WRF-CMAQ simulations were selected from the set of simulations conducted in the framework of AQMEII. Of these two simulations considered no feedbacks, two included direct effects only and five simulations included both direct and indirect effects. The results from both episodes demonstrate that it is important to include the meteorology and chemistry interactions in online-coupled models. Model evaluations using routine observations collected in AQMEII phase-2 and observations from a station in Moscow show that for the fire case the simulation including only aerosol direct effects has better performance than the simulations with no aerosol feedbacks or including both direct and indirect effects. The normalized mean biases are significantly reduced by 10-20% for PM10 when including aerosol direct effects. The analysis for the dust case confirms that models perform better when including aerosol direct effects, but worse when including both aerosol direct and indirect effects, which suggests that the representation of aerosol indirect effects needs to be improved in the model.

AB - This study reviews the top ranked meteorology and chemistry interactions in online coupled models recommended by an experts’ survey conducted in COST Action EuMetChem and examines the sensitivity of those interactions during two pollution episodes: the Russian forest fires 25 Jul -15 Aug 2010 and a Saharan dust transport event from 1 Oct -31 Oct 2010 as a part of the AQMEII phase-2 exercise. Three WRF-Chem model simulations were performed for the forest fire case for a baseline without any aerosol feedback on meteorology, a simulation with aerosol direct effects only and a simulation including both direct and indirect effects. For the dust case study, eight WRF-Chem and one WRF-CMAQ simulations were selected from the set of simulations conducted in the framework of AQMEII. Of these two simulations considered no feedbacks, two included direct effects only and five simulations included both direct and indirect effects. The results from both episodes demonstrate that it is important to include the meteorology and chemistry interactions in online-coupled models. Model evaluations using routine observations collected in AQMEII phase-2 and observations from a station in Moscow show that for the fire case the simulation including only aerosol direct effects has better performance than the simulations with no aerosol feedbacks or including both direct and indirect effects. The normalized mean biases are significantly reduced by 10-20% for PM10 when including aerosol direct effects. The analysis for the dust case confirms that models perform better when including aerosol direct effects, but worse when including both aerosol direct and indirect effects, which suggests that the representation of aerosol indirect effects needs to be improved in the model.

U2 - 10.1016/j.atmosenv.2014.09.020

DO - 10.1016/j.atmosenv.2014.09.020

M3 - Article

VL - 115

SP - 527

EP - 540

JO - Atmospheric Environment

JF - Atmospheric Environment

SN - 1352-2310

ER -