Please cite thi southeast Eng Atmospheric Environment ] (]]]]) ]]]–]]] www.elsevier.com/locate/atmosenv 57 59 61 63 65 67 69 71 OO F Performance characteristics of MM5–SMOKE–CMAQ for a summer photochemical episode in southeast England, United Kingdom Y. Yu , R.S. Sokhi, N. Kitwroon, D.R. Middleton, B. Fisher Centre for Atmospheric and Instrumentation Research (CAIR), University of Hertfordshire...

Simulating emission and chemical evolution of coarse sea-salt particles in the Community Multiscale Air Quality (CMAQ) model J. T. Kelly, P. V. Bhave, C. G. Nolte, U. Shankar, and K. M. Foley Atmospheric Modeling and Analysis Division, National Exposure Research Laboratory, Office of Research and Development, US Environmental Protection Agency, RTP, NC, USA Institute for the Environment, Univer...

We processed the National Emissions Inventory 96 (NEI96) version 3.11 through version 1 of the Sparse Matrix Operator Kernel Emissions (SMOKE) modeling system. Using an IBM RS/6000 supercomputer, we prepared emissions for a Community Multiscale Air Quality (CMAQ) modeling system study of ozone and particulate matter over the United States and Canada for the entire year of 1996. For quality assu...

Plant functional type (PFT) distributions affect the results of biogenic emission modeling as well as O3 and particulate matter (PM) simulations using chemistrytransport models (CTMs). This paper analyzes the variations of both surface biogenic volatile organic compound (BVOC) emissions and O3 concentrations due to changes in the PFT distributions in the Seoul Metropolitan Areas, Korea. The Fif...

The decoupled direct method in three dimensions (DDM-3D) provides an efficient and accurate approach for probing the sensitivity of atmospheric pollutant concentrations to various changes in photochemical model inputs. The implementation of DDM-3D for the widely used Community Multiscale Air Quality (CMAQ) model was updated to account for recent changes in the base model and to include addition...

In this work authors pursue their efforts in devising more sophisticated methods for error analysis in air quality models. In the light of experience gained during the AQMEIIs phases, they analyze results for ozone simulation for North America (CMAQ) and Europe (CHIMERE). Given that a statistical analysis of model results can only be the first step toward a more-in-depth diagnosis of model defi...

Chemical data assimilation is the process by which models use measurements to produce an optimal representation of the chemical composition of the atmosphere. Leveraging advances in algorithms and increases in the available computational power, the integration of numerical predictions and observations has started to play an important role in air quality modeling. This paper gives an overview of...