DOI: 10.1016/j.atmosenv.2018.01.012
Scopus记录号: 2-s2.0-85041459787
论文题名: Four dimensional data assimilation (FDDA) impacts on WRF performance in simulating inversion layer structure and distributions of CMAQ-simulated winter ozone concentrations in Uintah Basin
作者: Tran T ; , Tran H ; , Mansfield M ; , Lyman S ; , Crosman E
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2018
卷: 177 起始页码: 75
结束页码: 92
语种: 英语
英文关键词: Cold-air pool
; FDDA nudging
; Inversion
; PBL
; Uintah basin
; WRF
Scopus关键词: Atmospheric thermodynamics
; Boundary layer flow
; Boundary layers
; Inversion layers
; Photochemical forming
; Cold air pools
; Concentration distributions
; FDDA nudging
; Four dimensional data assimilation (FDDA)
; Inversion
; Physical parameterization
; Uintah basin
; Vertical temperature profile
; Quality control
; ozone
; advection
; air temperature
; altitude
; Article
; boundary layer
; circadian rhythm
; humidity
; low temperature
; moisture
; photochemistry
; precipitation
; priority journal
; sensitivity analysis
; surface property
; temperature sensitivity
; velocity
; water vapor
; wind
; winter
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: Four-dimensional data assimilation (FDDA) was applied in WRF-CMAQ model sensitivity tests to study the impact of observational and analysis nudging on model performance in simulating inversion layers and O3 concentration distributions within the Uintah Basin, Utah, U.S.A. in winter 2013. Observational nudging substantially improved WRF model performance in simulating surface wind fields, correcting a 10 °C warm surface temperature bias, correcting overestimation of the planetary boundary layer height (PBLH) and correcting underestimation of inversion strengths produced by regular WRF model physics without nudging. However, the combined effects of poor performance of WRF meteorological model physical parameterization schemes in simulating low clouds, and warm and moist biases in the temperature and moisture initialization and subsequent simulation fields, likely amplified the overestimation of warm clouds during inversion days when observational nudging was applied, impacting the resulting O3 photochemical formation in the chemistry model. To reduce the impact of a moist bias in the simulations on warm cloud formation, nudging with the analysis water mixing ratio above the planetary boundary layer (PBL) was applied. However, due to poor analysis vertical temperature profiles, applying analysis nudging also increased the errors in the modeled inversion layer vertical structure compared to observational nudging. Combining both observational and analysis nudging methods resulted in unrealistically extreme stratified stability that trapped pollutants at the lowest elevations at the center of the Uintah Basin and yielded the worst WRF performance in simulating inversion layer structure among the four sensitivity tests. The results of this study illustrate the importance of carefully considering the representativeness and quality of the observational and model analysis data sets when applying nudging techniques within stable PBLs, and the need to evaluate model results on a basin-wide scale. © 2018 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/83033
Appears in Collections: 气候变化事实与影响
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作者单位: Bingham Research Center, Utah State University, 320 Aggie Boulevard, Vernal, UT, United States; University of Utah Department of Atmospheric Sciences, 135 S 1460 E Rm 819 WBB, Salt Lake City, UT, United States
Recommended Citation:
Tran T,, Tran H,, Mansfield M,et al. Four dimensional data assimilation (FDDA) impacts on WRF performance in simulating inversion layer structure and distributions of CMAQ-simulated winter ozone concentrations in Uintah Basin[J]. Atmospheric Environment,2018-01-01,177