DOI: 10.1016/j.atmosenv.2017.05.020
Scopus记录号: 2-s2.0-85020283846
论文题名: Dynamic evaluation of two decades of WRF-CMAQ ozone simulations over the contiguous United States
作者: Astitha M ; , Luo H ; , Rao S ; T ; , Hogrefe C ; , Mathur R ; , Kumar N
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 164 起始页码: 102
结束页码: 116
语种: 英语
英文关键词: Decadal simulations
; Model evaluation
; Ozone design value
; Ozone trends
; Spectral decomposition
; WRF-CMAQ
Scopus关键词: Air quality
; Ozone
; Time series
; Weather forecasting
; Decadal simulations
; Design value
; Model evaluation
; Ozone trends
; Spectral decomposition
; WRF-CMAQ
; Quality control
; ozone
; air quality
; algorithm
; atmospheric modeling
; atmospheric pollution
; decadal variation
; design method
; emission
; model validation
; ozone
; simulation
; spectral analysis
; time series analysis
; trend analysis
; weather forecasting
; air pollution control
; air quality
; Article
; decomposition
; dynamics
; meteorology
; ozonation
; priority journal
; reduction (chemistry)
; simulation
; time series analysis
; United States
; Midwest
; 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: Dynamic evaluation of the fully coupled Weather Research and Forecasting (WRF)– Community Multi-scale Air Quality (CMAQ) model ozone simulations over the contiguous United States (CONUS) using two decades of simulations covering the period from 1990 to 2010 is conducted to assess how well the changes in observed ozone air quality are simulated by the model. The changes induced by variations in meteorology and/or emissions are also evaluated during the same timeframe using spectral decomposition of observed and modeled ozone time series with the aim of identifying the underlying forcing mechanisms that control ozone exceedances and making informed recommendations for the optimal use of regional-scale air quality models. The evaluation is focused on the warm season's (i.e., May–September) daily maximum 8-hr (DM8HR) ozone concentrations, the 4th highest (4th) and average of top 10 DM8HR ozone values (top10), as well as the spectrally-decomposed components of the DM8HR ozone time series using the Kolmogorov-Zurbenko (KZ) filter. Results of the dynamic evaluation are presented for six regions in the U.S., consistent with the National Oceanic and Atmospheric Administration (NOAA) climatic regions. During the earlier 11-yr period (1990–2000), the simulated and observed regional average trends are not statistically significant. During the more recent 2000–2010 period, all observed trends are statistically significant and WRF-CMAQ captures the observed downward trend in the Southwest and Midwest but under-predicts the downward trends in observations for the other regions. Observational analysis reveals that it is the magnitude of the long-term forcing that dictates the maximum ozone exceedance potential; there is a strong linear relationship between the long-term forcing and the 4th highest or the average of the top10 ozone concentrations in both observations and model output. This finding indicates that improving the model's ability to reproduce the long-term component will also enable better simulation of ozone extreme values that are of interest to regulatory agencies. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82360
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 Civil and Environmental Engineering, University of Connecticut, Storrs, CT, United States; North Carolina State University, Raleigh, NC, United States; U.S. Environmental Protection Agency, Research Triangle Park, NC, United States; EPRI, Palo Alto, CA, United States
Recommended Citation:
Astitha M,, Luo H,, Rao S,et al. Dynamic evaluation of two decades of WRF-CMAQ ozone simulations over the contiguous United States[J]. Atmospheric Environment,2017-01-01,164