Comparison of ozone simulations using MM5 and CALMET/MM5 hybrid meteorological fields for the July/August 2000 CCOS episode

Jackson, B. S.; Chau, Daniel; Gürer, Kemal; Kaduwela, A. P.

doi:10.1016/j.atmosenv.2006.01.020

Cited by 32 publications

(11 citation statements)

References 9 publications

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“…For these components, the models tend to over-predict the relatively moderate concentrations observed during IOP1 and underpredict the extremely high concentrations observed during IOP3. This behavior could be due in part to limitations of using prognostic meteorological fields in simulating air quality for stagnant periods on domains with complex topography (Hu et al, 2009;Jackson et al, 2006). However, overprediction of PM during IOP1 and under-prediction during IOP3 has also been reported for air quality simulations based on objective-analyses meteorological fields (Ying et al 2008) despite evidence that objective-analyses fields may result in better air quality model performance (Jackson et al 2006;Hu et al 2009).…”

Section: Particle Mass Size Distributionsmentioning

confidence: 93%

“…This behavior could be due in part to limitations of using prognostic meteorological fields in simulating air quality for stagnant periods on domains with complex topography (Hu et al, 2009;Jackson et al, 2006). However, overprediction of PM during IOP1 and under-prediction during IOP3 has also been reported for air quality simulations based on objective-analyses meteorological fields (Ying et al 2008) despite evidence that objective-analyses fields may result in better air quality model performance (Jackson et al 2006;Hu et al 2009). Kelly et al (2010) reported that concentration peaks in modeled size distributions for inorganic particle components occurred in the adjacent larger diameter bin to the observed peaks when CMAQ's lognormal distributions were mapped to the discrete bins of impactor measurements in Tampa.…”

Section: Particle Mass Size Distributionsmentioning

confidence: 93%

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Simulating Particle Size Distributions over California and Impact on Lung Deposition Fraction

Kelly

Avise

Cai

et al. 2011

Aerosol Science and Technology

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Reliable simulations of particle mass size distributions by regional photochemical air quality models are needed in regulatory applications because the U.S. EPA's National Ambient Air Quality Standards specify limits on the mass concentration of particles in a specific size range (i.e., aerodynamic diameter <2.5 µm). Considering the associations between adverse health effects and exposure to ultrafine particles, air quality models may need to accurately simulate particle number size distributions in addition to mass size distributions in future applications. In this study, predictions of particle number and mass size distributions by the Community Multiscale Air Quality model with the standard and an updated emission size distribution are evaluated using wintertime observations in California. Differences in modeled lung deposition fraction for simulated and observed particle number size distributions are also evaluated. Simulated mass size distributions are generally broader and shifted to larger diameters than observations, and observed differences in inorganic and carbon (elemental and organic) distributions are not captured by the model. These model limitations can be reasonably accounted for in regulatory modeling applications. Simulated number size distributions are considerably less accurate than mass size distributions and are difficult to represent in air quality models due to large sub-grid-scale concentration gradients. However, modeled number size distributions are This article has been reviewed by the staff of the California Air Resources Board and has been approved for publication. Approval does not signify that the contents necessarily reflect the views and policies of the California Air Resources Board, nor does mention of trade names or commercial products constitute endorsement or recommendation for use.Address correspondence to James T. Kelly, Planning and Technical Support Division, Air Resources Board, California Environmental Protection Agency, 1001 I Street, Sacramento, CA 95812, USA. E-mail: jkelly@ucdavis.edu responsive to updates of the emission size distribution, and reasonable simulation of background number size distributions might be possible with an improved treatment of emission size distributions. Modeled lung deposition fractions for simulated number size distributions peak in the same lung region as those for number size distributions observed in the background. However, differences in modeled and observed total number concentrations generally suggest large differences in the total number of deposited particles. Future model development on simulating particle mass size distributions should focus on improving predictions of the mass fraction of particles <2.5 µm. Model development for particle number size distributions should focus on reducing differences in modeled lung deposition for modeled and observed distributions.

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Section: Particle Mass Size Distributionsmentioning

confidence: 93%

Section: Particle Mass Size Distributionsmentioning

confidence: 93%

Simulating Particle Size Distributions over California and Impact on Lung Deposition Fraction

Kelly

Avise

Cai

et al. 2011

Aerosol Science and Technology

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“…Meteorological observations have been acquired at the ground stations of the Osservatorio Geofisico of the University of Modena and Reggio Emilia (Modena, Italy) and of the Regional Environmental Agency (ARPA). Meteorological simulated data comprise of mesoscale vertical wind profiles and mixing height: these data have been provided by ARPA using CALMET model (Deserti et al 2001), which requires input meteorological ground measurements and radio sounding profiles of temperature and wind speed [CALMET is often used to generate meteorological field also for air quality models, even coupled with larger-scale models (Yim et al 2007;Cox et al 2005;Chandrasekar et al 2003;Jackson et al 2006)]. Ground elevation data have been provided by Shuttle Radar Topography Mission through United States Geological Service (USGS), sampled at 3 arc-seconds, while land use-land surface cover dataset is extracted from the European CORINE Land Cover 2000 dataset (European Environment Agency) in raster format with a spatial resolution of 100 9 100 m.…”

Section: Modelling Of the Plume Dispersion In Atmospherementioning

confidence: 99%

Tri-generation power plant and conventional boilers: pollutant flow rate and atmospheric impact of stack emissions

Ghermandi

Teggi

Fabbi

et al. 2014

Int. J. Environ. Sci. Technol.

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The atmospheric impact of stack emissions from a power plant (tri-generator and boilers) that will be installed in an urban area in the central Po valley (Northern Italy), characterized by calm wind events, is studied and compared with the impact of the existing plant (conventional boilers). Both the plants are supplied by methane gas. The atmospheric dispersion of NO x emitted is simulated, both in the current and future scenario, by the software package ARIA INDUSTRY. The NO x emission rates are set equal to the regulatory emission limits for existing and future boilers, while the tri-generation system emission rates are set equal to the emission limits certified by the system manufacturer. The simulation periods focus over the 2010 winter season. The simulation estimates the impact of NO x emissions on air quality (vertical concentration profiles and concentration maps at the ground) in the urban area close to the plant. The future power plant impact on air quality results lower than the impact of the existing plant, even if the yearly total mass of pollutants emitted in atmosphere from the new power plant is higher than from the existing plant. The emissions of conventional boilers result the main responsible of the air pollution at the ground in the future scenario.

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“…In this study, CALMET was configured with five domains ( Figure 2) as well as sharp gradients in land surface characteristics that are smaller than the typical resolutions used in MM5 simulations (around 1-4 km [21][22][23][24]). The result of this is that the effects of the terrain and land surface characteristics on the meteorological fields are not always captured in the MM5 simulations.…”

Section: The Calmet Diagnostic Meteorological Modelmentioning

confidence: 99%

Mesoscale Simulation of Year-to-Year Variation of Wind Power Potential over Southern China

2009

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Abstract:The objectives of this study are to combine historical observations and state-ofthe-art numerical models (MM5/CALMET system) to map the spatial distribution of wind resources in high resolution, and to help foster a deeper understanding of the wind power potential over southern China (Guangdong). Hourly wind fields were simulated for three entire years (2004)(2005)(2006). It found that almost 70% of the time, the wind speed along the coast of Guangdong is over 5 m/s, which is deemed a baseline magnitude for typical wind turbines. Spatial plots of the wind speed and power and their variations over Guangdong Province for the three years are also presented.

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Comparison of ozone simulations using MM5 and CALMET/MM5 hybrid meteorological fields for the July/August 2000 CCOS episode

Cited by 32 publications

References 9 publications

Simulating Particle Size Distributions over California and Impact on Lung Deposition Fraction

Simulating Particle Size Distributions over California and Impact on Lung Deposition Fraction

Tri-generation power plant and conventional boilers: pollutant flow rate and atmospheric impact of stack emissions

Mesoscale Simulation of Year-to-Year Variation of Wind Power Potential over Southern China

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