Preliminary evaluation of the community multiscale air, quality model for 2002 over the southeastern United States

被引:87
|
作者
Morris, RE
McNally, DE
Tesche, TW
Tonnesen, G
Boylan, JW
Brewer, P
机构
[1] Alpine Geophys LLC, Ft Wright, KY 41017 USA
[2] ENVIRON Int Corp, Novato, CA USA
[3] Univ Calif Riverside, Ctr Environm Res & Technol, Riverside, CA 92521 USA
[4] Georgia Dept Nat Resources, Atlanta, GA USA
[5] Visibil Improvement State & Tribal Assoc SE, Asheville, NC USA
关键词
D O I
10.1080/10473289.2005.10464765
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Visibility Improvement State and Tribal Association of the Southeast (VISTAS) is one of five Regional Planning Organizations that is charged with the management of haze, visibility, and other regional air quality issues in the United States. The VISTAS Phase I work effort modeled three episodes (January 2002, July 1999, and July 2001) to identify the optimal model configuration(s) to be used for the 2002 annual modeling in Phase II. Using model configurations recommended in the Phase I analysis, 2002 annual meteorological (Mesoscale Meterological Model [MMS]), emissions (Sparse Matrix Operator Kernal Emissions [SMOKE]), and air quality (Community Multiscale Air Quality [CMAQ]) simulations were performed on a 36-km grid covering the continental United States and a 12-km grid covering the Eastern United States. Model estimates were then compared against observations. This paper presents the results of the preliminary CMAQ model performance evaluation for the initial 2002 annual base case simulation. Model performance is presented for the Eastern United States using speciated fine particle concentration and wet deposition measurements from several monitoring networks. Initial results indicate fairly good performance for sulfate with fractional bias values generally within +/- 20%. Nitrate is overestimated in the winter by approximately +50% and underestimated in the summer by more than -100%. Organic carbon exhibits a large summer underestimation bias of approximately -100% with much improved performance seen in the winter with a bias near zero. Performance for elemental carbon is reasonable with fractional bias values within +/- 40%. Other fine particulate (soil) and coarse particular matter exhibit large (80-150%) overestimation in the winter but improved performance in the summer. The preliminary 2002 CMAQ runs identified several areas of enhancements to improve model performance, including revised temporal allocation factors for ammonia emissions to improve nitrate performance and addressing missing processes in the secondary organic aerosol module to improve OC performance.
引用
收藏
页码:1694 / 1708
页数:15
相关论文
共 50 条
  • [1] Multiscale air quality modeling of the northeastern United States
    Kumar, N
    Russell, AG
    ATMOSPHERIC ENVIRONMENT, 1996, 30 (07) : 1099 - 1116
  • [2] An evaluation of Terra-MODIS sampling for monthly and annual particulate matter air quality assessment over the Southeastern United States
    Gupta, Pawan
    Christopher, Sundar A.
    ATMOSPHERIC ENVIRONMENT, 2008, 42 (26) : 6465 - 6471
  • [3] 2002-2017 anthropogenic emissions data for air quality modeling over the United States
    Foleya, Kristen M.
    Pouliota, George A.
    Eytha, Alison
    Aldridge, Michael F.
    Allen, Christine
    Appel, K. Wyat
    Basha, Jesse O.
    Beardsleya, Megan
    Beidlerb, James
    Choia, David
    Farkas, Caroline
    Gilliam, Robert C.
    Godfrey, Janice
    Henderson, Barron H.
    Hogrefe, Christian
    Koplitza, Shannon N.
    Masona, Rich
    Mathura, Rohit
    Misenisa, Chris
    Possiela, Norm
    Pye, Havala O. T.
    Reynolds, Lara
    Roark, Matthew
    Roberts, Sarah
    Schwedea, Donna B.
    Seltzera, Karl M.
    Sonntaga, Darrell
    Talgob, Kevin
    Toro, Claudia
    Vukovicha, Jeff
    Xingc, Jia
    Adamsd, Elizabeth
    DATA IN BRIEF, 2023, 47
  • [4] Mass conservation in the Community Multiscale Air Quality model
    Hu, YT
    Odman, MT
    Russell, AG
    ATMOSPHERIC ENVIRONMENT, 2006, 40 (07) : 1199 - 1204
  • [5] Evaluation of a seven-year air quality simulation using the Weather Research and Forecasting (WRF)/Community Multiscale Air Quality (CMAQ) models in the eastern United States
    Zhang, Hongliang
    Chen, Gang
    Hu, Jianlin
    Chen, Shu-Hua
    Wiedinmyer, Christine
    Kleeman, Michael
    Ying, Qi
    SCIENCE OF THE TOTAL ENVIRONMENT, 2014, 473 : 275 - 285
  • [6] Fine Scale Modeling of Agricultural Air Quality over the Southeastern United States Using Two Air Quality Models. Part I. Application and Evaluation
    Zhang, Yang
    Olsen, Kristen M.
    Wang, Kai
    AEROSOL AND AIR QUALITY RESEARCH, 2013, 13 (04) : 1231 - 1252
  • [7] A preliminary model of Wood Stork population dynamics in the southeastern United States
    Borkhataria, Rena R.
    Frederick, Peter C.
    Hylton, Rebecca
    Bryan, A. Lawrence, Jr.
    Rodgers, James A.
    WATERBIRDS, 2008, 31 : 42 - 49
  • [8] Evaluation of the Community Multiscale Air Quality Model for Simulating Winter Ozone Formation in the Uinta Basin
    Matichuk, Rebecca
    Tonnesen, Gail
    Luecken, Deborah
    Gilliam, Rob
    Napelenok, Sergey L.
    Baker, Kirk R.
    Schwede, Donna
    Murphy, Ben
    Helmig, Detlev
    Lyman, Seth N.
    Roselle, Shawn
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2017, 122 (24) : 13545 - 13572
  • [9] The Community Multiscale Air Quality (CMAQ) model versions 5.3 and 5.3.1: system updates and evaluation
    Appel, K. Wyat
    Bash, Jesse O.
    Fahey, Kathleen M.
    Foley, Kristen M.
    Gilliam, Robert C.
    Hogrefe, Christian
    Hutzell, William T.
    Kang, Daiwen
    Mathur, Rohit
    Murphy, Benjamin N.
    Napelenok, Sergey L.
    Nolte, Christopher G.
    Pleim, Jonathan E.
    Pouliot, George A.
    Pye, Havala O. T.
    Ran, Limei
    Roselle, Shawn J.
    Sarwar, Golam
    Schwede, Donna B.
    Sidi, Fahim, I
    Spero, Tanya L.
    Wong, David C.
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2021, 14 (05) : 2867 - 2897
  • [10] Examination of the Community Multiscale Air Quality (CMAQ) model performance over the North American and European domains
    Appel, K. Wyat
    Chemel, Charles
    Roselle, Shawn J.
    Francis, Xavier V.
    Hu, Rong-Ming
    Sokhi, Ranjeet S.
    Rao, S. T.
    Galmarini, Stefano
    ATMOSPHERIC ENVIRONMENT, 2012, 53 : 142 - 155