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1. WRF-Chem model sensitivity to chemical mechanisms choice in reconstructing aerosol optical properties

Author:
Honzak, L.,   et al.   ; Balzarini, A.; Pirovano, G.; Žabkar, R.; Curci, G.; Forkel, R.; Hirtl, M.; San José, R.; Tuccella, P.; Grell, G.A.;     Show all 10 Authors
Source:
Atmospheric environment 2015 v.115 pp. 604-619
ISSN:
1352-2310
Subject:
aerosols; atmospheric chemistry; dust emissions; gases; model validation; nitrates; nitric acid; nitrogen content; nitrogen dioxide; optical properties; particulates; prediction; relative humidity; sulfates; sulfur dioxide; titration; volatile organic compounds; Europe
Abstract:
... In the framework of the AQMEII initiative WRF-Chem has been applied over Europe adopting two chemical configurations for the calendar year 2010. The first one employed the RADM2 gas-phase chemistry and MADE/SORGAM aerosol module, while the second one implemented the CBM-Z gaseous parameterization and MOSAIC aerosol chemistry. Configurations shared the same domain, meteorological setups and input d ...
DOI:
10.1016/j.atmosenv.2014.12.033

2. Sensitivity of feedback effects in CBMZ/MOSAIC chemical mechanism

Author:
Honzak, L.,   et al.   ; San José, R.; Pérez, J.L.; Balzarini, A.; Baró, R.; Curci, G.; Forkel, R.; Galmarini, S.; Grell, G.; Hirtl, M.; Im, U.; Jiménez-Guerrero, P.; Langer, M.; Pirovano, G.; Tuccella, P.; Werhahn, J.; Žabkar, R.;     Show all 17 Authors
Source:
Atmospheric environment 2015 v.115 pp. 646-656
ISSN:
1352-2310
Subject:
aerosols; air quality; atmospheric chemistry; data collection; models; nitrogen dioxide; ozone; pollutants; prediction; solar radiation; sulfur dioxide; uncertainty; water vapor; wind speed; Europe; Mediterranean region
Abstract:
... To investigate the impact of the aerosol effects on meteorological variables and pollutant concentrations two simulations with the WRF-Chem model have been performed over Europe for year 2010. We have performed a baseline simulation without any feedback effects and a second simulation including the direct as well as the indirect aerosol effect. The paper describes the full configuration of the mod ...
DOI:
10.1016/j.atmosenv.2015.04.030

3. Feedbacks between air pollution and weather, part 2: Effects on chemistry

Author:
Honzak, L.,   et al.   ; Makar, P.A.; Gong, W.; Hogrefe, C.; Zhang, Y.; Curci, G.; Žabkar, R.; Milbrandt, J.; Im, U.; Balzarini, A.; Baró, R.; Bianconi, R.; Cheung, P.; Forkel, R.; Gravel, S.; Hirtl, M.; Hou, A.; Jiménez-Guerrero, P.; Langer, M.; Moran, M.D.; Pabla, B.; Pérez, J.L.; Pirovano, G.; San José, R.; Tuccella, P.; Werhahn, J.; Zhang, J.; Galmarini, S.;     Show all 28 Authors
Source:
Atmospheric environment 2015 v.115 pp. 499-526
ISSN:
1352-2310
Subject:
aerosols; air pollution; air quality; atmospheric chemistry; cities; emissions; forest fires; gases; isoprene; meteorology; model validation; nitrogen content; nitrogen oxides; ozone; particulates; prediction; radiative transfer; simulation models; statistics; summer; weather; Europe; North America
Abstract:
... Fully-coupled air-quality models running in “feedback” and “no-feedback” configurations were compared against each other and observation network data as part of Phase 2 of the Air Quality Model Evaluation International Initiative. In the “no-feedback” mode, interactions between meteorology and chemistry through the aerosol direct and indirect effects were disabled, with the models reverting to cli ...
DOI:
10.1016/j.atmosenv.2014.10.021

4. Feedbacks between air pollution and weather, Part 1: Effects on weather

Author:
Honzak, L.,   et al.   ; Makar, P.A.; Gong, W.; Milbrandt, J.; Hogrefe, C.; Zhang, Y.; Curci, G.; Žabkar, R.; Im, U.; Balzarini, A.; Baró, R.; Bianconi, R.; Cheung, P.; Forkel, R.; Gravel, S.; Hirtl, M.; Hou, A.; Jiménez-Guerrero, P.; Langer, M.; Moran, M.D.; Pabla, B.; Pérez, J.L.; Pirovano, G.; San José, R.; Tuccella, P.; Werhahn, J.; Zhang, J.; Galmarini, S.;     Show all 28 Authors
Source:
Atmospheric environment 2015 v.115 pp. 442-469
ISSN:
1352-2310
Subject:
aerosols; air pollution; air quality; atmospheric chemistry; meteorological parameters; models; prediction; radiative transfer; space and time; summer; surface temperature; Europe; North America
Abstract:
... The meteorological predictions of fully coupled air-quality models running in “feedback” versus “no-feedback” simulations were compared against each other and observations as part of Phase 2 of the Air Quality Model Evaluation International Initiative. In the “no-feedback” mode, the aerosol direct and indirect effects were disabled, with the models reverting to either climatologies of aerosol prop ...
DOI:
10.1016/j.atmosenv.2014.12.003

5. Uncertainties of simulated aerosol optical properties induced by assumptions on aerosol physical and chemical properties: An AQMEII-2 perspective

Author:
Honzak, L.,   et al.   ; Curci, G.; Hogrefe, C.; Bianconi, R.; Im, U.; Balzarini, A.; Baró, R.; Brunner, D.; Forkel, R.; Giordano, L.; Hirtl, M.; Jiménez-Guerrero, P.; Knote, C.; Langer, M.; Makar, P.A.; Pirovano, G.; Pérez, J.L.; San José, R.; Syrakov, D.; Tuccella, P.; Werhahn, J.; Wolke, R.; Žabkar, R.; Zhang, J.; Galmarini, S.;     Show all 25 Authors
Source:
Atmospheric environment 2015 v.115 pp. 541-552
ISSN:
1352-2310
Subject:
aerosols; atmospheric chemistry; chemical speciation; chemical treatment; governmental programs and projects; mixing; models; physicochemical properties; refractive index; uncertainty; uncertainty analysis; Europe; North America
Abstract:
... The calculation of aerosol optical properties from aerosol mass is a process subject to uncertainty related to necessary assumptions on the treatment of the chemical species mixing state, density, refractive index, and hygroscopic growth. In the framework of the AQMEII-2 model intercomparison, we used the bulk mass profiles of aerosol chemical species sampled over the locations of AERONET stations ...
DOI:
10.1016/j.atmosenv.2014.09.009

6. Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2

Author:
Honzak, L.,   et al.   ; Giordano, L.; Brunner, D.; Flemming, J.; Hogrefe, C.; Im, U.; Bianconi, R.; Badia, A.; Balzarini, A.; Baró, R.; Chemel, C.; Curci, G.; Forkel, R.; Jiménez-Guerrero, P.; Hirtl, M.; Hodzic, A.; Jorba, O.; Knote, C.; Kuenen, J.J.P.; Makar, P.A.; Manders-Groot, A.; Neal, L.; Pérez, J.L.; Pirovano, G.; Pouliot, G.; San José, R.; Savage, N.; Schröder, W.; Sokhi, R.S.; Syrakov, D.; Torian, A.; Tuccella, P.; Werhahn, J.; Wolke, R.; Yahya, K.; Žabkar, R.; Zhang, Y.; Galmarini, S.;     Show all 38 Authors
Source:
Atmospheric environment 2015 v.115 pp. 371-388
ISSN:
1352-2310
Subject:
air quality; atmospheric chemistry; carbon monoxide; model validation; models; nitric oxide; nitrogen dioxide; ozone; sulfates; sulfur dioxide; winter; Europe; North America
Abstract:
... The Air Quality Model Evaluation International Initiative (AQMEII) has now reached its second phase which is dedicated to the evaluation of online coupled chemistry-meteorology models. Sixteen modeling groups from Europe and five from North America have run regional air quality models to simulate the year 2010 over one European and one North American domain. The MACC re-analysis has been used as c ...
DOI:
10.1016/j.atmosenv.2015.02.034