Application of WRF/Chem-MADRID for real-time air quality forecasting over the Southeastern United States

Chuang, Ming-Tung; Zhang, Yang; Kang, Daiwen

doi:10.1016/j.atmosenv.2011.06.071

Cited by 100 publications

(59 citation statements)

References 32 publications

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“…In the version of COSMO-ART applied for the current study, there is the option of choosing between two different SOA modules: The SORGAM which is the default SOA module of COSMO-ART, analytically described in Schell et al (2001) and used in several applications (Grell et al, 2005;Stern et al, 2008;Elleman and Covert, 2009;Zhao et al, 2012;Chuang et al, 2011;Herwehe et al, 2011) and the VBS, which is the newly added SOA module in COSMO-ART, based on the framework proposed by Donahue et al (2006) and employed in other models (Robinson et al, 2007;Lane et al, 2008;Murphy and Pandis, 2009;Tsimpidi et al, 2010Tsimpidi et al, , 2011Shrivastava et al, 2011).…”

Section: Secondary Organic Aerosol Modulesmentioning

confidence: 99%

Modeling the meteorological and chemical effects of secondary organic aerosols during an EUCAARI campaign

Athanasopoulou

Vogel

et al. 2013

Atmos. Chem. Phys.

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Abstract.A volatility basis set (VBS) approach for the simulation of secondary organic aerosol (SOA) formation is incorporated in the online coupled atmospheric model system COSMO-ART and applied over Europe during the EU-CAARI May 2008 campaign. Organic aerosol performance is improved when compared to the default SOA module of COSMO-ART (SORGAM) against high temporal resolution aerosol mass spectrometer ground measurements. The impact of SOA on the overall radiative budget was investigated. The mean direct surface radiative cooling averaged over Europe is −1.2 W m −2 , representing approximately 20 % of the total effect of aerosols on the radiative budget. However, responses are not spatially correlated with the radiative forcing, due to the nonlinear interactions among changes in particle chemical composition, water content, size distribution and cloud cover. These interactions initiated by the effect of SOA on radiation are found to result even in a positive forcing in specific areas. Further model experiments showed that the availability of nitrogen oxides slightly affects SOA production, but that the aging rate constant used in the VBS approximation and boundary concentrations assumed in the model should be carefully selected. The aging of SOA is found to reduce hourly nitrate levels by up to 30 %, while the condensation of inorganic species upon pre-existing, SOA-rich particles results in a monthly average increase of 5 % in sulfate and ammonium formation in the accumulation mode.

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Section: Secondary Organic Aerosol Modulesmentioning

confidence: 99%

Modeling the meteorological and chemical effects of secondary organic aerosols during an EUCAARI campaign

Athanasopoulou

Vogel

et al. 2013

Atmos. Chem. Phys.

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“…A detailed description can be found in Zhang et al (2010aZhang et al ( , 2012a. WRF/Chem-MADRID has been applied to eastern Texas in the US to simulate PM and its interactions with meteorology with different gas/particle mass transfer approaches (Zhang et al, 2010a), to the eastern US to forecast realtime air quality (Chuang et al, 2011), and to the continental US (CONUS) to simulate surface O 3 and PM concentrations and aerosol feedbacks using different gas-phase mechanisms and different aerosol modules . The air quality modeling platform Polyphemus with the CTM Polair3D has been widely used for modeling pollution buildup and transport on urban to continental scales (e.g., Sartelet et al, 2008Sartelet et al, , 2012Royer et al, 2011), and specifically to simulate the year 2001 over Europe .…”

Section: Wrf/chem-madrid and Wrf/polyphemusmentioning

confidence: 99%

Application of WRF/Chem-MADRID and WRF/Polyphemus in Europe – Part 1: Model description, evaluation of meteorological predictions, and aerosol–meteorology interactions

Zhang

Sartelet

Wu³

et al. 2013

Atmos. Chem. Phys.

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Abstract. Comprehensive model evaluation and comparison of two 3-D air quality modeling systems (i.e., the Weather Research and Forecast model (WRF)/Polyphemus and WRF with chemistry and the Model of Aerosol Dynamics, Reaction, Ionization, and Dissolution (MADRID) (WRF/Chem-MADRID)) are conducted over Western Europe. Part 1 describes the background information for the model comparison and simulation design, the application of WRF for January and July 2001 over triple-nested domains in Western Europe at three horizontal grid resolutions: 0.5°, 0.125°, and 0.025°, and the effect of aerosol/meteorology interactions on meteorological predictions. Nine simulated meteorological variables (i.e., downward shortwave and longwave radiation fluxes (SWDOWN and LWDOWN), outgoing longwave radiation flux (OLR), temperature at 2 m (T2), specific humidity at 2 m (Q2), relative humidity at 2 m (RH2), wind speed at 10 m (WS10), wind direction at 10 m (WD10), and precipitation (Precip)) are evaluated using available observations in terms of spatial distribution, domainwide daily and site-specific hourly variations, and domainwide performance statistics. The vertical profiles of temperature, dew points, and wind speed/direction are also evaluated using sounding data. WRF demonstrates its capability in capturing diurnal/seasonal variations and spatial gradients and vertical profiles of major meteorological variables. While the domainwide performance of LWDOWN, OLR, T2, Q2, and RH2 at all three grid resolutions is satisfactory overall, large positive or negative biases occur in SWDOWN, WS10, and Precip even at 0.125° or 0.025° in both months and in WD10 in January. In addition, discrepancies between simulations and observations exist in T2, Q2, WS10, and Precip at mountain/high altitude sites and large urban center sites in both months, in particular, during snow events or thunderstorms. These results indicate the model's difficulty in capturing meteorological variables in complex terrain and subgrid-scale meteorological phenomena, due to inaccuracies in model initialization parameterization (e.g., lack of soil temperature and moisture nudging), limitations in the physical parameterizations (e.g., shortwave radiation, cloud microphysics, cumulus parameterizations, and ice nucleation treatments) as well as limitations in surface heat and moisture budget parameterizations (e.g., snow-related processes, subgrid-scale surface roughness elements, and urban canopy/heat island treatments and CO2 domes). While the use of finer grid resolutions of 0.125° and 0.025° shows some improvements for WS10, WD10, Precip, and some mesoscale events (e.g., strong forced convection and heavy precipitation), it does not significantly improve the overall statistical performance for all meteorological variables except for Precip. The WRF/Chem simulations with and without aerosols show that aerosols lead to reduced net shortwave radiation fluxes, 2 m temperature, 10 m wind speed, planetary boundary layer (PBL) height, and precipitation and increase aerosol optical depth, cloud condensation nuclei, cloud optical depth, and cloud droplet number concentrations over most of the domain. These results indicate a need to further improve the model representations of the above parameterizations as well as aerosol–meteorology interactions at all scales.

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“…Takigawa et al (2007) evaluated the O 3 forecast for a 1-month time period from a one-way nested global-regional RT-AQF system with full chemistry based on the global CHASER (Sudo et al, 2002) and regional WRF-Chem models, while Saide et al (2011) evaluated a forecast system based on the WRF-Chem model for simulating carbon monoxide (CO) as a PM 10 /PM 2.5 surrogate over Santiago de Chile for wintertime conditions. WRFChem-MADRID (Zhang et al, 2010a) with two additional gas-phase mechanisms, sectional representation for particle size distribution and more advanced model treatments compared to WRF-Chem, was applied by Chuang et al (2011) and by Yahya et al (2014) for forecasting AQ over the southeastern US. In spite of a limited number of evaluation studies published in the literature, an increasing number of real-time weather and air quality forecasting systems based on WRFChem are implemented worldwide (http://ruc.noaa.gov/wrf/ WG11/Real_time_forecasts.htm).…”

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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Application of WRF/Chem-MADRID for real-time air quality forecasting over the Southeastern United States

Cited by 100 publications

References 32 publications

Modeling the meteorological and chemical effects of secondary organic aerosols during an EUCAARI campaign

Modeling the meteorological and chemical effects of secondary organic aerosols during an EUCAARI campaign

Application of WRF/Chem-MADRID and WRF/Polyphemus in Europe – Part 1: Model description, evaluation of meteorological predictions, and aerosol–meteorology interactions

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

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