DOI: 10.1175/JCLI-D-11-00636.1
Scopus记录号: 2-s2.0-84871779810
论文题名: Cloud properties over the North Slope of Alaska: Identifying the prevailing meteorological regimes
作者: Mülmenstädt J. ; Lubin D. ; Russell L.M. ; Vogelmann A.M.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2012
卷: 25, 期: 23 起始页码: 8238
结束页码: 8258
语种: 英语
Scopus关键词: Aircraft measurement
; Aleutian low
; Arctic
; Atmospheric measurement
; Atmospheric radiation measurement programs
; Beaufort sea
; Cloud observations
; Cloud properties
; Comparison study
; K-means clustering
; K-Means clustering algorithm
; Long time series
; Meteorological condition
; Model evaluation
; North Slope of Alaska
; Test case
; U.S. Department of Energy
; Aircraft models
; Atmospheric structure
; Classification (of information)
; Climate models
; Clouds
; Time series
; airborne survey
; algorithm
; atmospheric modeling
; climate modeling
; cloud classification
; cloud microphysics
; moisture content
; parameterization
; performance assessment
; synoptic meteorology
; Alaska
; Arctic
; North Slope
; United States
英文摘要: Long time series of Arctic atmospheric measurements are assembled into meteorological categories that can serve as test cases for climate model evaluation. The meteorological categories are established by applying an objective k-means clustering algorithm to 11 years of standard surface-meteorological observations collected from 1 January 2000 to 31 December 2010 at the North Slope of Alaska (NSA) site of the U.S. Department of Energy Atmospheric Radiation Measurement Program (ARM). Four meteorological categories emerge. These meteorological categories constitute the first classification by meteorological regime of a long time series of Arctic meteorological conditions. The synoptic-scale patterns associated with each category, which include well-known synoptic features such as the Aleutian low and Beaufort Sea high, are used to explain the conditions at the NSA site. Cloud properties, which are not used as inputs to the k-means clustering, are found to differ significantly between the regimes and are also well explained by the synopticscale influences in each regime. Since the data available at the ARM NSA site include a wealth of cloud observations, this classification is well suited for model-observation comparison studies. Each category comprises an ensemble of test cases covering a representative range in variables describing atmospheric structure, moisture content, and cloud properties. This classification is offered as a complement to standard case-study evaluation of climate model parameterizations, in which models are compared against limited realizations of the Earth-atmosphere system (e.g., from detailed aircraft measurements). © 2012 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/52113
Appears in Collections: 气候变化事实与影响
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作者单位: Scripps Institution of Oceanography, La Jolla, CA, United States; Brookhaven National Laboratory, Upton, NY, United States
Recommended Citation:
Mülmenstädt J.,Lubin D.,Russell L.M.,et al. Cloud properties over the North Slope of Alaska: Identifying the prevailing meteorological regimes[J]. Journal of Climate,2012-01-01,25(23)