Analysis of the WRF-Chem contributions to AQMEII phase2 with respect to aerosol radiative feedbacks on meteorology and pollutant distributions

Forkel, R.; Balzarini, Alessandra; Baró, Rocío; Bianconi, Roberto; Curci, Gabriele; Jiménez‐Guerrero, Pedro; Hirtl, Marcus; Honzak, Luka; Lorenz, Christof; İm, Ulaş; Pérez, J. L.; Pirovano, Guido; José, Roberto San; Tuccella, Paolo; Werhahn, Johannes; Žabkar, Rahela

doi:10.1016/j.atmosenv.2014.10.056

Cited by 103 publications

(136 citation statements)

References 64 publications

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“…The impacts of direct and indirect aerosol effects are often shown to be in competition, and the indirect effect may be the dominant process for accurate predictions of ozone, particulate matter and other species (Makar, Gong, Milbrandt et al, 2015). Forkel et al (2015) performed several simulations with different aerosol feedbacks for a Russian wildfire episode; they found that the inclusion of aerosol-cloud interactions led to lower cloud droplet number and higher downward solar radiation by almost 50% for regions with low aerosol concentrations. But Kong et al (2015) pointed out that the representation of aerosol indirect effects is incomplete in current models and needs to be further improved.…”

Section: Resultsmentioning

confidence: 99%

Impacts of aerosol-radiation feedback on local air quality during a severe haze episode in Nanjing megacity, eastern China

Li¹,

Wang²,

Xie³

et al. 2017

Tellus B: Chemical and Physical Meteorology

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Severe haze events and their radiation feedbacks exert a profound impact on the weather and tropospheric chemistry. Using the on-line-coupled Weather Research and Forecasting with Chemistry (WRF-Chem) model, this study investigates the impacts of direct aerosol-radiation feedbacks on local air quality (i.e. particulate matter and ozone photochemistry) during a severe autumn haze episode in Nanjing megacity, eastern China. Pronounced radiation feedbacks are found for the predictions of meteorological and chemical variables. In response to the negative radiative forcing of scattering-dominant anthropogenic haze aerosols, the instantaneous irradiance and temperature at the surface lower by 130 W m −2 and 1.1-1.4 °C, respectively, leading to a reduction of boundary layer height by 103.2-232.6 m (11-38%) and vertical wind speed by 0.1-0.8 mm s −1 (2-30% at mid-day) during this haze event. Such a stable atmosphere favours the accumulation of fine particles (30.5 μg m −3 , 28.7%) and NO 2 (6.0 ppb, 23.7%) in the urban pollution plume. The weaker turbulent mixing and photochemical activity associated with the enhanced titration loss, and reduced downward radiation and photolysis rate result in a 0.1−5.0 ppb (12.0%) reduction of near-surface ozone. The simulations highlight that the aerosol-radiation feedbacks play an important role in the atmospheric transport and chemistry of large urban pollution plumes.

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Section: Resultsmentioning

confidence: 99%

Impacts of aerosol-radiation feedback on local air quality during a severe haze episode in Nanjing megacity, eastern China

Li¹,

Wang²,

Xie³

et al. 2017

Tellus B: Chemical and Physical Meteorology

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“…Forkel et al (2015) and analized similar case studies where WRF-Chem was applied with a modal aerosol module and different gas phase chemistry, and with different cloud physics options. Comparison with the results presented there indicates the impact of using different cloud physics and chemistry modules on the model results and feedback effects are about of the same magnitude.…”

Section: Resultsmentioning

confidence: 99%

Sensitivity of feedback effects in CBMZ/MOSAIC chemical mechanism

José

Pérez

Balzarini

et al. 2015

Atmospheric Environment

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a bstr a ctTo 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 model, the simulation design, special impacts and evaluation. Although low aerosol particle concentrations are detected, the inclusion of the feedback effects results in an increase of solar radiation at the surface over cloudy areas (North-West, including the Atlantic) and decrease over more sunny locations (SouthEast). Aerosol effects produce an increase of the water vapor and decrease the planet boundary layer height over the whole domain except in the Sahara area, where the maximum particle concentrations are detected. Significant ozone concentrations are found over the Mediterranean area. Simulated feedback effects between aerosol concentrations and meteorological variables and on pollutant distributions strongly depend on the aerosol concentrations and the clouds. Further investigations are necessary with higher aerosol particle concentrations. WRF-Chem variables are evaluated using available hourly ob-servations in terms of performance statistics. Standardized observations from the ENSEMBLE system webinterface were used. The research was developed under the second phase of Air Quality Model Evaluation International Initiative (AQMEII). WRF-Chem demonstrates its capability in capturing tem-poral and spatial variations of the major meteorological variables and pollutants, except the wind speed over complex terrain. The wind speed bias may affect the accuracy in the chemical predictions (NO2, SO2). The analysis of the correlations between simulated data sets and observational data sets indicates that the simulation with aerosol effects performs slightly better. These results indicate potential importance of the aerosol feedback effects and an urgent need to further improve the representations in current atmospheric models to reduce uncertainties at all scales.

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“…In both domains we decided to apply the same schemes as were used in simulation SI1 for phase-2 of the Air Quality Model Evaluation International Initiative (AQMEII) (e.g. Balzarini et al, 2015;Baró et al, 2015;Curci et al, 2015;Forkel et al, 2015;Im et al, 2015a, b;Kong et al, 2015;San Josè et al, 2015). These include the Yonsei University (YSU) PBL scheme (Hong et al, 2006), NOAH land-surface model (Chen and Dudhia, 2001), Rapid Radiative Transfer Method for Global (RRTMG) long-wave and short-wave radiation scheme (Iacono et al, 2008), Grell 3-D ensemble cumulus parameterization scheme (Grell and Devenyi, 2002) with radiative feedback, Morrison doublemoment cloud microphysics (Morrison et al, 2009), Fast-J photolysis scheme (Wild et al, 2000), RADM2 gas-phase chemistry (Regional Acid Deposition Model, Stockwell et al, 1990) and the MADE/SORGAM aerosol module (Ackermann et al, 1995;Schell et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2015

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Abstract. An integrated modelling system based on the regional online coupled meteorology-atmospheric chemistry WRF-Chem model configured with two nested domains with horizontal resolutions of 11.1 and 3.7 km has been applied for numerical weather prediction and for air quality forecasts in Slovenia. In the study, an evaluation of the air quality forecasting system has been performed for summer 2013. In the case of ozone (O 3 ) daily maxima, the first-and second-day model predictions have been also compared to the operational statistical O 3 forecast and to the persistence. Results of discrete and categorical evaluations show that the WRFChem-based forecasting system is able to produce reliable forecasts which, depending on monitoring site and the evaluation measure applied, can outperform the statistical model. For example, the correlation coefficient shows the highest skill for WRF-Chem model O 3 predictions, confirming the significance of the non-linear processes taken into account in an online coupled Eulerian model. For some stations and areas biases were relatively high due to highly complex terrain and unresolved local meteorological and emission dynamics, which contributed to somewhat lower WRF-Chem skill obtained in categorical model evaluations. Applying a bias correction could further improve WRF-Chem model forecasting skill in these cases.

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Analysis of the WRF-Chem contributions to AQMEII phase2 with respect to aerosol radiative feedbacks on meteorology and pollutant distributions

Cited by 103 publications

References 64 publications

Impacts of aerosol-radiation feedback on local air quality during a severe haze episode in Nanjing megacity, eastern China

Impacts of aerosol-radiation feedback on local air quality during a severe haze episode in Nanjing megacity, eastern China

Sensitivity of feedback effects in CBMZ/MOSAIC chemical mechanism

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

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