TITLE

Use of a process analysis tool for diagnostic study on fine particulate matter predictions in the U.S.-Part I: Model evaluation

AUTHOR(S)
Ping Liu; Yang Zhang
PUB. DATE
January 2011
SOURCE
Atmospheric Pollution Research;Jan2011, Vol. 2 Issue 1, p49
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Regional ozone (O3) and fine particles (PM2.5) modeling for both research-grade and regulation applications is important due to their known impacts on human health, air quality, and climate change. In this study, the fifth-generation Penn State/NCAR Mesoscale Model (MM5) and the U.S. EPA Models-3/Community Multiscale Air Quality (CMAQ) modeling system are applied to simulate the major air pollutants during the 1999 Southern Oxidants Study episode for the period of 12-28 June 1999. As Part I of two companion papers describing CMAQ performance, process analysis, and sensitivity simulations, this paper presents results from an operational evaluation for meteorological and chemical predictions using the available surface, aircraft, and satellite data. Both MM5 and CMAQ show reasonable performance for major meteorological variables (i.e., temperature, relative humidity, wind direction, planetary boundary layer height) with normalized mean biases (NMBs) of 0.4-24.2%, surface concentrations O3, PM2.5, SO42-, and NH4+ with NMBs of -39% to 24.2%, and vertical profiles of temperature and sulfur dioxide. Relatively poor performance is found in the simulated precipitation (NMBs of -16.3% to 37.4%), the concentrations of NO3-, EC, and OC (NMBs of -77.8% to -22%) and total O3 column mass. The evaluation identifies several research areas that are needed to improve model performance for nitrate, organic carbon, and black carbon at surface, vertical profiles of relative humidity, carbon monoxide, and nitrogen oxides, and tropospheric O3 column abundance.
ACCESSION #
64286663

 

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