DOI: 10.1175/JCLI-D-15-0469.1
Scopus记录号: 2-s2.0-84964909036
论文题名: Dynamical consistency of reanalysis datasets in the extratropical stratosphere
作者: Martineau P. ; Son S.-W. ; Taguchi M.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2016
卷: 29, 期: 8 起始页码: 3057
结束页码: 3074
语种: 英语
Scopus关键词: Atmospheric structure
; Fluxes
; Momentum
; Upper atmosphere
; Atmospheric circulation
; Data assimilation techniques
; Gravity wave drag
; Lower stratosphere
; Momentum equation
; Quasi-geostrophic
; Reanalysis
; Temporal variability
; Quality control
; atmospheric circulation
; atmospheric dynamics
; atmospheric modeling
; atmospheric structure
; data set
; extratropical environment
; momentum
; stratosphere
英文摘要: Reanalysis data provide a good estimate of global atmospheric temperature and wind fields. However, the available reanalysis datasets reveal nonnegligible discrepancies in their mean state and temporal variability. In this study, the quality of eight reanalysis datasets is evaluated by examining their dynamical consistency in the extratropical stratosphere. The dynamical consistency is quantified by computing the residual of the zonal-mean momentum equation. The residual is generally small in the lower stratosphere, especially at and below 30 hPa, but increases significantly aloft in both hemispheres poleward of 45°, where the effect of parameterized gravity wave drag becomes important. However, at most levels, a large difference in the residual is found among the datasets. This interdata difference is mainly caused by an uncertainty in the Coriolis torque. The non-quasigeostrophic terms, such as those associated with the vertical motion, also play a nonnegligible role when the polar vortex accelerates or decelerates. The latest reanalysis datasets exhibit smaller residuals than their earlier counterparts. For example, ERA-Interim is dynamically more consistent than ERA-40. This improvement over the generations is largely attributed to a better representation of the Coriolis torque. This is not likely achieved by the increase in satellite data observations over the past few decades. In fact, the dynamical consistency is only weakly sensitive to the analysis period. Instead, model-specific factors, such as data assimilation technique, model resolution, and physics, likely play a crucial role in improving the dynamical consistency. © 2016 American Meteorological Society. 资助项目: KMA, Korea Meteorological Administration
; SNU, Seoul National University
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/49970
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Atmospheric and Oceanic Sciences, McGill University, Montreal, QC, Canada; School of Earth and Environmental Sciences, Seoul National University, Seoul, South Korea; Department of Earth Sciences, Aichi University of Education, Kariya, Japan
Recommended Citation:
Martineau P.,Son S.-W.,Taguchi M.. Dynamical consistency of reanalysis datasets in the extratropical stratosphere[J]. Journal of Climate,2016-01-01,29(8)