GSTDTAP  > 气候变化
DOI10.1029/2018JD029637
Effect of Meteorological Variability on Fine Particulate Matter Simulations Over the Contiguous United States
Kumar, Rajesh1; Lee, Jared A.1; Delle Monache, Luca1,2; Alessandrini, Stefano1
2019-05-27
发表期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
EISSN2169-8996
出版年2019
卷号124期号:10页码:5669-5694
文章类型Article
语种英语
国家USA
英文摘要

This study quantifies the impact of meteorological variability on the Community Multiscale Air Quality (CMAQ) model-simulated particulate matter of aerodynamic diameter 2.5 m or smaller (particulate matter 2.5 [PM2.5]) over the contiguous United States (CONUS). The meteorological variability is represented using the Short-Range Ensemble Forecast (SREF) produced operationally by the National Oceanic and Atmospheric Administration. A hierarchical cluster analysis technique is applied to down-select a subset of the SREF members that objectively accounts for the overall meteorological forecast variability of SREF. Three SREF members are selected to drive off-line CMAQ simulations during January, April, July, and October 2016. Changes in emissions, vertical diffusion, and aerosol processes due to meteorological variability dominate changes in aerosol mass concentrations over 55-73% of the domain except in July when dry deposition dominates emissions and aerosol processes. Weather Research and Forecasting-Advanced Research WRF (WRF-ARW) simulations reproduced the variability of surface temperature very well but overestimated the 10-m wind speed, precipitation, and at some sites the planetary boundary layer height. Averaged over CONUS, CMAQ simulations driven by all three meteorological configurations capture the observed daytime low and nighttime high PM2.5 mass concentrations but underestimated the observed concentrations likely due to faster advection and higher wet deposition in the model. PM2.5 levels across the three simulations agreed well during daytime but showed larger variability during nighttime due to dominance of aerosol, clouds, and advection processes in nighttime. The meteorology-induced variability in PM2.5 is estimated to be 0.08-24 g/m(3) over the CONUS with larger variability over the eastern United States.


英文关键词meteorological variability PM2.5 CONUS CMAQ hierarchical cluster analysis
领域气候变化
收录类别SCI-E
WOS记录号WOS:000471237200030
WOS关键词MULTIMODEL ENSEMBLE DATA ; VERTICAL DIFFUSION ; DATA ASSIMILATION ; CLUSTER-ANALYSIS ; BOUNDARY-LAYER ; AIR-POLLUTION ; GOVERNING EQUATIONS ; MODEL DESCRIPTION ; PART I ; CONVECTION
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
被引频次:5[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/183363
专题气候变化
作者单位1.Natl Ctr Atmospher Res, POB 3000, Boulder, CO 80307 USA;
2.Univ Calif San Diego, Scripps Inst Oceanog, San Diego, CA 92103 USA
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Kumar, Rajesh,Lee, Jared A.,Delle Monache, Luca,et al. Effect of Meteorological Variability on Fine Particulate Matter Simulations Over the Contiguous United States[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2019,124(10):5669-5694.
APA Kumar, Rajesh,Lee, Jared A.,Delle Monache, Luca,&Alessandrini, Stefano.(2019).Effect of Meteorological Variability on Fine Particulate Matter Simulations Over the Contiguous United States.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,124(10),5669-5694.
MLA Kumar, Rajesh,et al."Effect of Meteorological Variability on Fine Particulate Matter Simulations Over the Contiguous United States".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 124.10(2019):5669-5694.
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