DOI: 10.1002/jgrd.50495
论文题名: Probing into the impact of 3DVAR assimilation of surface PM<inf>10</inf> observations over China using process analysis
作者: Jiang Z. ; Liu Z. ; Wang T. ; Schwartz C.S. ; Lin H.-C. ; Jiang F.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 12 起始页码: 6738
结束页码: 6749
语种: 英语
英文关键词: aerosol data assimilation
; PM10
; process analysis
Scopus关键词: Aerosols
; Chemical analysis
; Data processing
; Experiments
; Forecasting
; Mixing
; Particles (particulate matter)
; Aerosol emission rates
; Aerosol vertical profiles
; Data assimilation
; National centers for environmental predictions
; PM10
; Process analysis
; Statistical interpolation
; Weather research and forecasting
; Atmospheric movements
; aerosol
; concentration (composition)
; data assimilation
; forecasting method
; particulate matter
; statistical analysis
; uncertainty analysis
; vertical mixing
; China
英文摘要: The capability of assimilating surface PM10 (particulate matter with diameters less than 10 μm) observations has been developed within the National Centers for Environmental Prediction Gridpoint Statistical Interpolation three-dimensional variational (3DVAR) data assimilation (DA) system. It provides aerosol analyses for the Goddard Chemistry Aerosol Radiation and Transport aerosol scheme within the Weather Research and Forecasting/Chemistry model. Control and assimilation experiments were performed for June 2011 over China to explore in detail the impact of assimilating surface PM10 . In the assimilation experiment, analyses were produced every 6 h to adjust the mass concentrations of different aerosol species. The statistical results from two parallel experiments demonstrate that the assimilation of surface PM10 observations can significantly reduce the uncertainty of initial aerosol fields and effectively improve the subsequent aerosol forecasts for at least 12 h. However, the benefit from the assimilation of PM10 diminishes rapidly with forecast range. Process analysis for PM10 formation indicates that the rapidly diminishing DA impact on aerosol forecasts, especially in early forecast hours, was dominated by vertical mixing with an additional contribution from advection. Both processes were mainly related to unbalanced aerosol fields in the horizontal and vertical after assimilating surface observations. These findings illustrate the importance of adjusting aerosol emission rates and the initial aerosol vertical profile. Key Points Surface PM10 data are assimilated using GSI 3DVAR Data assimilation impact diminishes rapidly with forecast range Vertical mixing is the main cause of short-lasting DA impact © 2013. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63604
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: School of Atmospheric Sciences, Nanjing University, Nanjing, China; National Center for Atmospheric Research, Boulder, CO 80301, United States; International Institute for Earth System Science, Nanjing University, Nanjing, China
Recommended Citation:
Jiang Z.,Liu Z.,Wang T.,et al. Probing into the impact of 3DVAR assimilation of surface PM<inf>10</inf> observations over China using process analysis[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(12)