PM and light extinction model performance metrics, goals, and criteria for three-dimensional air quality models

Boylan, James W.; Russell, Armistead G.

doi:10.1016/j.atmosenv.2005.09.087

Cited by 708 publications

(620 citation statements)

References 14 publications

Supporting

Mentioning

555

Contrasting

Unclassified

Order By: Relevance

“…4) demonstrate that the WRF-Chem results agree well with observations in Nanjing, with a domainaverage FB of 3% and FE of 45% (Table 1). They are within the criteria proposed by Boylan and Russell (2006) that the model performance is 'satisfactory' when FB is within ±60% and FE is below 75%. The model also successfully resolves the urban pollution hotspots in Nanjing (Fig.…”

Section: Chemical Compositionsupporting

confidence: 52%

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

View full text Add to dashboard Cite

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.

show abstract

Section: Chemical Compositionsupporting

confidence: 52%

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

View full text Add to dashboard Cite

show abstract

“…The mean correlation for all stations amounts to 0.38 with higher correlations at rural stations (r = 0.43, ranging from 0.28 to 0.58 per station). Due to the important underestimation of the model concentrations, MFB and MFE values are undoubtedly ranging above the criteria for acceptable model performances proposed by Boylan and Russell (2006). Fig.…”

Section: Particulate Mattermentioning

confidence: 99%

“…Additionally, the mean normalized bias and gross errors, MNBE and MNGE respectively, considering all modeled/observed pairs of values are also useful parameters. For particulate matter, Boylan and Russell (2006) rather suggested the consideration of the Mean Fractional Bias (MFB) and the Mean Fractional Error (MFE) parameters since they are symmetric metrics, bounding the maximum bias and error.…”

Section: Statistical Indicatorsmentioning

confidence: 99%

“…Therefore, the latter criteria will not be further commented in this study. For particulate matter, Boylan and Russell (2006) proposed that the model performance criterion would be met when both MFE " 75% and MFB " " 60%, respectively, and the model performance goal would be met when MFE and MFB are less than or equal to 50% and ± 30%, respectively. The annual mean model-to-data statistics RMSE, correlation coefficient, MNBE, MNGE, MFB and MFE were selected for the present study.…”

Section: Statistical Indicatorsmentioning

confidence: 99%

“…In particular, specific metrics were proposed depending on the pollutants (US-EPA, 1984, 1991Cox and Tikvart, 1990;Weil et al, 1992;Chang and Hanna, 2004;Boylan and Russell, 2006).…”

Section: Statistical Indicatorsmentioning

confidence: 99%

See 2 more Smart Citations

Spatio-temporal variability of concentrations and speciation of particulate matter across Spain in the CALIOPE modeling system

Pay

Jiménez‐Guerrero

Jorba

et al. 2012

Atmospheric Environment

View full text Add to dashboard Cite

The CALIOPE project, funded by the Spanish Ministry of the Environment, aims at establishing an air quality forecasting system for Spain. With this goal, CALIOPE modeling system was developed and applied with high resolution (4 km x 4 km, 1hr) using the HERMES emission model (including emissions of resuspended particles from paved roads) specifically built up for Spain. The present study provides an evaluation and an assessment of that air quality modeling system, namely WRF-ARW/HERMES/CMAQ/BSC-DREAM8b for a full year simulation in 2004 over Spain. The evaluation focused on the capability of the model to reproduce the temporal and spatial distribution of gas phase species (NO2, O3, and SO2) and particulate matter (PM10) against ground-based measurements from the Spanish air quality monitoring network. The evaluation of the modeling results on an hourly basis showed a strong dependency of the performance of the model on the type of zone (urban, suburban and rural) and the dominant emission sources (traffic, industrial, and background). The O3 chemistry is best represented in summer, when mean hourly variability and high peaks are generally well reproduced. The mean normalized error and bias meet the recommendations proposed by the United States Environmental Protection Agency (US-EPA) and the European regulations. Modeled O3 shows higher performance for urban than for rural stations, especially at traffic stations in large cities, since stations influenced by traffic emissions (i.e. high NOx emissions) are better characterized with a more pronounced daily variability. NOx/O3 chemistry is better represented under non-limited-NO2 regimes. SO 2 is mainly produced from isolated point sources (power generation and transformation industries) which generate large plumes of high SO 2 concentration affecting the air quality on a local to national scale where the meteorological pattern is crucial. The contribution of mineral dust from the Sahara desert through the BSC-DREAM8b model helps to satisfactorily reproduce episodic high PM10 concentration peaks at background stations. The model assessment indicates that one of the main air quality-related problems in Spain is the high level of O3. A quarter of the Iberian Peninsula presents more than 30 days exceeding the value 120 µg m -3 for the maximum 8-hr O3 concentration as a consequence of the transport of O3 precursors downwind the Madrid and Barcelona metropolitan areas, and industrial areas and cities in the Mediterranean coast.

show abstract

Impact of Southern California anthropogenic emissions on ozone pollution in the mountain states: Model analysis and observational evidence from space

et al. 2013

View full text Add to dashboard Cite

[1] The impact of Southern California (SoCal) anthropogenic emissions on ozone (O 3 ) in the mountain states in May 2010 is studied using the Sulfur Transport and Deposition Model. We identified two to six major transport events from SoCal to different subregions in the mountain states, with transport times of 0-2 days indicated by trajectories, time-lag correlations, and forward/adjoint sensitivities. Based on forward sensitivity analysis, the contributions from SoCal anthropogenic emissions to the monthly mean daily maximum 8 h average (MDA8) surface O 3 in the mountain states decrease with distance from SoCal, and they range from <1 ppbv (in Wyoming) to 15 ppbv (in western Arizona). These contributions show medium (>0.6) to strong (>0.8) positive correlations with the modeled total surface MDA8 O 3 . For the most strongly affected states of Arizona and New Mexico, these contributions have median values of 3,~2,~5, and~15 ppbv when the total surface MDA8 O 3 exceeded thresholds of 60, 65, 70, and 75 ppbv, respectively. Surface MDA8 O 3 values in SoCal show strong nonlinear responses to varied magnitudes of perturbation (e.g., ±50% and 100%) in SoCal anthropogenic emissions and weak nonlinear responses in the mountain states. Case studies show that different scales of transport (e.g., trans-Pacific, stratospheric intrusions, and interstate) can be dynamically and chemically coupled and simultaneously affect O 3 in the mountain states when the meteorological conditions are favorable. During some of these strong transport periods, the contributions of SoCal anthropogenic emissions to hourly O 3 in the mountain states can exceed 20 ppbv, close to the magnitude during a summer event reported by . Satellite observations from the Tropospheric Emission Spectrometer and the Measurements of Pollution in the Troposphere multispectral retrievals qualitatively demonstrate large and interstate scales of transport, respectively. Suggestions are made for future satellite missions to measure O 3 with improved spatial coverage, temporal frequency, and near-surface sensitivity to provide better observational constraints on interstate pollution transport studies.

show abstract

PM and light extinction model performance metrics, goals, and criteria for three-dimensional air quality models

Cited by 708 publications

References 14 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

Spatio-temporal variability of concentrations and speciation of particulate matter across Spain in the CALIOPE modeling system

Impact of Southern California anthropogenic emissions on ozone pollution in the mountain states: Model analysis and observational evidence from space

Contact Info

Product

Resources

About