DOI: 10.1175/JCLI-D-11-00223.1
Scopus记录号: 2-s2.0-84867671614
论文题名: Patterns of CO 2 variability from global satellite data
作者: Ruzmaikin A. ; Aumann H.H. ; Pagano T.S.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2012
卷: 25, 期: 18 起始页码: 6383
结束页码: 6393
语种: 英语
Scopus关键词: Air transport
; All-sky
; Aqua satellites
; Atmospheric CO
; Atmospheric infrared radiation
; Climate analysis
; Climate record
; Climate variability
; Empirical Mode Decomposition
; Empirical Orthogonal Function
; First principal components
; Global CO
; Global data
; High Latitudes
; Interannual
; Isentropes
; Mauna Loa
; Phase shifted
; Potential temperature
; Satellite data
; Semiannual oscillations
; Southern oscillation
; Spatial patterns
; Time variability
; Trends
; Vertical transports
; Vertical velocity
; Air
; Atmospheric pressure
; Climatology
; Greenhouse gases
; Principal component analysis
; Carbon dioxide
; Aqua (satellite)
; carbon dioxide
; climate change
; El Nino-Southern Oscillation
; greenhouse gas
; principal component analysis
; satellite data
英文摘要: The authors present an analysis of the global midtropospheric CO2 retrieved for all-sky (clear and cloudy) conditions from measurements by the Atmospheric Infrared Radiation Sounder on board the Aqua satellite in 2003-09. The global data coverage allows the identification of the set of CO 2 spatial patterns and their time variability by applying principal component analysis and empirical mode decomposition. The first, dominant pattern represents 93% of the variability and exhibits the linear trend of 2 6 0.2ppm yr21, as well as annual and interannual dependencies. The single-site record of CO2 at Mauna Loa compares well with variability of this pattern. The first principal component is phase shifted relative to the Southern Oscillation, indicating a causative relationship between the atmospheric CO 2 and ENSO. The higher-order patterns show regional details of CO 2 distribution and display the semiannual oscillation. The CO 2 distributions are compared with the distribution of two major characteristics of air transport: the vertical velocity and potential temperature surfaces at the same height. In agreement with modeling, CO 2 concentration closely traces the potential temperature surfaces (isentropes) in middle and high latitudes. However, its vertical transport in the tropics, where these surfaces are mostly horizontal, is suppressed. The results are in agreement with the previous results on annual and interannual CO 2 time variability obtained by using the network flask data. This knowledge of the global CO 2 spatial patterns can be useful in climate analyses and potentially in the challenging task of connecting CO 2 sources and sinks with its distribution in the atmosphere. © 2012 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/52247
Appears in Collections: 气候变化事实与影响
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作者单位: Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
Recommended Citation:
Ruzmaikin A.,Aumann H.H.,Pagano T.S.. Patterns of CO 2 variability from global satellite data[J]. Journal of Climate,2012-01-01,25(18)