DOI: 10.1007/s00382-012-1296-1
Scopus记录号: 2-s2.0-84867101082
论文题名: Comparison between linear and nonlinear trends in NOAA-15 AMSU-A brightness temperatures during 1998-2010
作者: Qin Z. ; Zou X. ; Weng F.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2012
卷: 39, 期: 2017-07-08 起始页码: 1763
结束页码: 1779
语种: 英语
英文关键词: Brightness temperature
; Climate trend
; Ensemble empirical mode decomposition
英文摘要: Brightness temperature observations from Microwave Sounding Unit and Advanced Microwave Sounding Unit-A (AMSU-A) on board National Oceanic and Atmospheric Administration (NOAA) satellites have been widely utilized for estimating the global climate trend in the troposphere and stratosphere. A common approach for deriving the trend is linear regression, which implicitly assumes the trend being a straight line over the whole length of a time series and is often highly sensitive to the data record length. This study explores a new adaptive and temporally local data analysis method-Ensemble Empirical Mode Decomposition (EEMD)-for estimating the global trends. In EEMD, a non-stationary time series is decomposed adaptively and locally into a sequence of amplitude-frequency modulated oscillatory components and a time-varying trend. The AMSU-A data from the NOAA-15 satellite over the time period from October 26, 1998 to August 7, 2010 are employed for this study. Using data over Amazon rainforest areas, it is shown that channel 3 is least sensitive to the orbital drift among four AMSU-A surface sensitive channels. The decadal trends of AMSU-A channel 3 and other eight channels in the troposphere and stratosphere are deduced and compared using both methods. It is shown that the decadal climate trends of most AMSU-A channels are nonlinear except for channels 3-4 in Northern Hemisphere only and channels 12-13. Although the decadal trend variation of the global average brightness temperature is no more than 0.2 K, the regional decadal trend variation could be more (less) than 3 K (-3 K) in high latitudes and over high terrains. © 2012 Springer-Verlag. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/55149
Appears in Collections: 过去全球变化的重建
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作者单位: Center of Data Assimilation for Research and Application, Nanjing University of Information Science and Technology, Nanjing, China; Department of Earth, Ocean and Atmospheric Sciences, Florida State University, Tallahassee, FL 32306-4520, United States; Center for Satellite Applications and Research, NOAA/NESDIS, Camp Springs, MD 20746, United States
Recommended Citation:
Qin Z.,Zou X.,Weng F.. Comparison between linear and nonlinear trends in NOAA-15 AMSU-A brightness temperatures during 1998-2010[J]. Climate Dynamics,2012-01-01,39(2017-07-08)