DOI: 10.1016/j.atmosenv.2016.10.048
Scopus记录号: 2-s2.0-84995646198
论文题名: Regionalized PM2.5 Community Multiscale Air Quality model performance evaluation across a continuous spatiotemporal domain
作者: Reyes J ; M ; , Xu Y ; , Vizuete W ; , Serre M ; L
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 148 起始页码: 258
结束页码: 265
语种: 英语
英文关键词: CMAQ
; Model performance evaluation
; Modeled data
; PM2.5
; Regulatory modeling
Scopus关键词: Air quality
; Errors
; Mean square error
; Quality assurance
; Systematic errors
; CMAQ
; Model performance evaluations
; Modeled data
; PM2.5
; Regulatory model
; Quality control
; air quality
; atmospheric modeling
; concentration (composition)
; error correction
; model test
; particulate matter
; spatiotemporal analysis
; air quality
; Article
; community
; controlled study
; measurement accuracy
; model
; particulate matter
; priority journal
; random error
; reduction
; systematic error
; United States
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: The regulatory Community Multiscale Air Quality (CMAQ) model is a means to understanding the sources, concentrations and regulatory attainment of air pollutants within a model's domain. Substantial resources are allocated to the evaluation of model performance. The Regionalized Air quality Model Performance (RAMP) method introduced here explores novel ways of visualizing and evaluating CMAQ model performance and errors for daily Particulate Matter ≤ 2.5 μm (PM2.5) concentrations across the continental United States. The RAMP method performs a non-homogenous, non-linear, non-homoscedastic model performance evaluation at each CMAQ grid. This work demonstrates that CMAQ model performance, for a well-documented 2001 regulatory episode, is non-homogeneous across space/time. The RAMP correction of systematic errors outperforms other model evaluation methods as demonstrated by a 22.1% reduction in Mean Square Error compared to a constant domain wide correction. The RAMP method is able to accurately reproduce simulated performance with a correlation of r = 76.1%. Most of the error coming from CMAQ is random error with only a minority of error being systematic. Areas of high systematic error are collocated with areas of high random error, implying both error types originate from similar sources. Therefore, addressing underlying causes of systematic error will have the added benefit of also addressing underlying causes of random error. © 2016 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82406
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Department of Environmental Sciences and Engineering, UNC, 135 Dauer Drive, Chapel Hill, NC, United States
Recommended Citation:
Reyes J,M,, Xu Y,et al. Regionalized PM2.5 Community Multiscale Air Quality model performance evaluation across a continuous spatiotemporal domain[J]. Atmospheric Environment,2017-01-01,148