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

Developmental Biology

Yang Zhang²  Ping Liu¹ 

[1] School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China$$Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC 27695$$;Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC 27695$$

关键词: Fine particulate matter;    MM5/CMAQ;    Model evaluation;    1999 SOS;   

DOI  :  10.5094/APR.2011.007

学科分类：农业科学（综合）

来源: Dokuz Eylul Universitesi * Department of Environmental Engineering

【 摘 要 】

Regional ozone (O₃) and fine particles (PM_2.5) 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, PM_2.5, SO₄^2–, 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.

【 授权许可】

Unknown   

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