DOI: 10.1016/j.atmosenv.2014.07.044
Scopus记录号: 2-s2.0-84939772321
论文题名: A multi-model assessment for the 2006 and 2010 simulations under the Air Quality Model Evaluation International Initiative (AQMEII) Phase 2 over North America: Part II. Evaluation of column variable predictions using satellite data
作者: Wang K ; , Yahya K ; , Zhang Y ; , Hogrefe C ; , Pouliot G ; , Knote C ; , Hodzic A ; , San Jose R ; , Perez J ; L ; , Jiménez-Guerrero P ; , Baro R ; , Makar P ; , Bennartz R
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 115 起始页码: 587
结束页码: 603
语种: 英语
英文关键词: AQMEII
; GEM-MACH
; Model evaluation
; Online-coupled model
; Satellite data
; WRF-CMAQ
; WRF/Chem
Scopus关键词: Aerosols
; Air quality
; Atmospheric aerosols
; Balloons
; Benchmarking
; Boundary conditions
; Ionization of gases
; Optical properties
; Ozone
; Quality assurance
; Radiation
; Satellites
; Social networking (online)
; AQMEII
; Model evaluation
; Online coupled models
; Satellite data
; WRF-CMAQ
; WRF/Chem
; Quality control
; ozone
; aerosol
; air quality
; Air Quality Model Evaluation International Initiative 2
; Article
; cloud
; controlled study
; environmental temperature
; North America
; optical depth
; priority journal
; simulation
; solar radiation
; water vapor
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Within the context of the Air Quality Model Evaluation International Initiative Phase 2 (AQMEII2) project, this part II paper performs a multi-model assessment of major column abundances of gases, radiation, aerosol, and cloud variables for 2006 and 2010 simulations with three online-coupled air quality models over the North America using available satellite data. It also provides the first comparative assessment of the capabilities of the current generation of online-coupled models in simulating column variables. Despite the use of different model configurations and meteorological initial and boundary conditions, most simulations show comparable model performance for many variables. The evaluation results show an excellent agreement between all simulations and satellite-derived radiation variables including downward surface solar radiation, longwave radiation, and top-of-atmospheric outgoing longwave radiation, as well as precipitable water vapor with domain-average normalized mean biases (NMBs) of typically less than 5% and correlation coefficient (R) typically more than 0.9. Most simulations perform well for column-integrated abundance of CO with domain-average NMBs of -9.4% to -2.2% in 2006 and -12.1% to 4.6% in 2010 and from reasonably well to fair for column NO2 , HCHO, and SO2 , with domain-average NMBs of -37.7% to 2.1%, -27.3% to 59.2%, and 16.1% to 114.2% in 2006, respectively, and, 12.9% to 102.1%, -25.0% to 87.6%, -65.2% to 7.4% in 2010, respectively. R values are high for CO and NO2 typically between 0.85 and 0.9 (i.e., R2 of 0.7-0.8). Tropospheric ozone residuals are overpredicted by all simulations due to overestimates of ozone profiles from boundary conditions. Model performance for cloud-related variables is mixed and generally worse compared to gases and radiation variables. Cloud fraction (CF) is well reproduced by most simulations. Other aerosol/cloud related variables such as aerosol optical depth (AOD), cloud optical thickness, cloud liquid water path, cloud condensation nuclei, and cloud droplet number concentration (CDNC) are moderately to largely underpredicted by most simulations, due to underpredictions of aerosol loadings and also indicating high uncertainties associated with the current model treatments of aerosol-cloud interactions and the need for further model development. Negative correlations are found for AOD for most simulations due to large negative biases over the western part of the domain. Inter-model discrepancies also exist for a few variables such as column abundances of HCHO and SO2 and CDNC due likely to different chemical mechanisms, biogenic emissions, and treatments of aerosol indirect effects. Most simulations can also capture the inter-annual trend observed by satellites between 2006 and 2010 for several variables such as column abundance of NO2 , AOD, CF, and CDNC. Results shown in this work provide the important benchmark for future online-couple air quality model development. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81667
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Marine, Earth, and Atmospheric Sciences, NCSU, Raleigh, NC, United States; Atmospheric Modeling and Analysis Division, Office of Research and Development, U.S. EPA, RTPNC, United States; Atmospheric Chemistry Division, National Center for Atmospheric Research, Boulder, CO, United States; Computer Science School, Technical University of Madrid, Campus de Montegancedo, Boadilla del Monte, Madrid, Spain; Department of Physics, Ed. CIOyN, Regional Campus of International Excellence Campus Mare Nostrum, University of Murcia, Campus de Espinardo, Murcia, Spain; Air Quality Research Division, Environment Canada, Toronto, ON, Canada; Earth and Environmental Sciences, Vanderbilt University, Nashville, TN, United States; Space Science and Engineering Center, University of Wisconsin-MadisonWI, United States
Recommended Citation:
Wang K,, Yahya K,, Zhang Y,et al. A multi-model assessment for the 2006 and 2010 simulations under the Air Quality Model Evaluation International Initiative (AQMEII) Phase 2 over North America: Part II. Evaluation of column variable predictions using satellite data[J]. Atmospheric Environment,2015-01-01,115