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Author
Deng, J. ; Wu, Z. ; Zhang, M. ; Huang, N.E. ; Wang, S. ; Qiao, F.
Title
Using Holo-Hilbert spectral analysis to quantify the modulation of Dansgaard-Oeschger events by obliquity
Type
$loc['typeJournal Article']
Year
2018
Publication
Quaternary Science Reviews
Abbreviated Journal
Quaternary Science Reviews
Volume
192
Issue
Pages
282-299
Keywords
Pleistocene ; Paleoclimatology ; Greenland ; Antarctica ; Data treatment ; Data analysis ; Dansgaard-oeschger (DO) events ; Obliquity forcing ; Phase preference ; Holo-hilbert spectral analysis ; Amplitude modulation ; EMPIRICAL MODE DECOMPOSITION ; GREENLAND ICE-CORE ; NONSTATIONARY TIME-SERIES ; ABRUPT CLIMATE-CHANGE ; LAST GLACIAL PERIOD ; NORTH-ATLANTIC ; MILLENNIAL-SCALE ; RECORDS ; VARIABILITY ; CYCLE
Abstract
Astronomical forcing (obliquity and precession) has been thought to modulate Dansgaard-Oeschger (DO) events, yet the detailed quantification of such modulations has not been examined. In this study, we apply the novel Holo-Hilbert Spectral Analysis (HHSA) to five polar ice core records, quantifying astronomical forcing's time-varying amplitude modulation of DO events and identifying the preferred obliquity phases for large amplitude modulations. The unique advantages of HHSA over the widely used windowed Fourier spectral analysis for quantifying astronomical forcing's nonlinear modulations of DO events is first demonstrated with a synthetic data that closely resembles DO events recorded in Greenland ice cores (NGRIP, GRIP, and GISP2 cores on GICC05 modelext timescale). The analysis of paleoclimatic proxies show that statistically significantly more frequent DO events, with larger amplitude modulation in the Greenland region, tend to occur in the decreasing phase of obliquity, especially from its mean value to its minimum value. In the eastern Antarctic, although statistically significantly more DO events tend to occur in the decreasing obliquity phase in general, the preferred phase of obliquity for large amplitude modulation on DO events is a segment of the increasing phase near the maximum obliquity, implying that the physical mechanisms of DO events may be different for the two polar regions. Additionally, by using cross-spectrum and magnitude-squared analyses, Greenland DO mode at a timescale of about 1400 years leads the Antarctic DO mode at the same timescale by about 1000 years. (C) 2018 Elsevier Ltd. All rights reserved.
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Publisher
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Summary Language
Original Title
Series Editor
Series Title
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Series Volume
Series Issue
Edition
ISSN
0277-3791
ISBN
Medium
Area
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Conference
Funding
Approved
$loc['no']
Call Number
COAPS @ user @
Serial
971
Permanent link to this record
Author
Hou, T.Y. ; Yan, M.P. ; Wu, Z.
Title
A Variant Of The Emd Method For Multi-Scale Data
Type
$loc['typeJournal Article']
Year
2009
Publication
Advances in Adaptive Data Analysis
Abbreviated Journal
Adv. Adapt. Data Anal.
Volume
01
Issue
04
Pages
483-516
Keywords
Empirical Mode Decomposition (EMD) ; adaptive data analysis ; sparse representation
Abstract
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Series Editor
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Series Issue
Edition
ISSN
1793-5369
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Conference
Funding
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
670
Permanent link to this record
Author
Wu, Z. ; Huang, N.E. ; Chen, X.
Title
The Multi-Dimensional Ensemble Empirical Mode Decomposition Method
Type
$loc['typeJournal Article']
Year
2009
Publication
Advances in Adaptive Data Analysis
Abbreviated Journal
Adv. Adapt. Data Anal.
Volume
01
Issue
03
Pages
339-372
Keywords
Empirical mode decomposition (EMD) ; ensemble empirical mode decomposition (EEMD) ; minimal scale principle ; pseudo multi-dimensional ensemble empirical mode decomposition ; multi-dimensional ensemble empirical mode decomposition
Abstract
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Series Issue
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ISSN
1793-5369
ISBN
Medium
Area
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Conference
Funding
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
669
Permanent link to this record
Author
Huang, N.E. ; Wu, Z. ; Long, S.R. ; Arnold, K.C. ; Chen, X. ; Blank, K.
Title
On Instantaneous Frequency
Type
$loc['typeJournal Article']
Year
2009
Publication
Advances in Adaptive Data Analysis
Abbreviated Journal
Adv. Adapt. Data Anal.
Volume
01
Issue
02
Pages
177-229
Keywords
Instantaneous frequency ; Hilbert transform ; quadrature ; empirical mode decomposition ; normalized intrinsic mode function ; empirical AM/FM decomposition
Abstract
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Edition
ISSN
1793-5369
ISBN
Medium
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Funding
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
668
Permanent link to this record
Author
Wu, Z. ; Huang, N.E.
Title
Ensemble Empirical Mode Decomposition: A Noise-Assisted Data Analysis Method
Type
$loc['typeJournal Article']
Year
2009
Publication
Advances in Adaptive Data Analysis
Abbreviated Journal
Adv. Adapt. Data Anal.
Volume
01
Issue
01
Pages
1-41
Keywords
Empirical Mode Decomposition (EMD) ; ensemble empirical mode decompositions ; noise-assisted data analysis (NADA) ; Intrinsic Mode Function (IMF) ; shifting stoppage criteria ; end effect reduction Read More: http://www.worldscientific.com/doi/abs/10.1142/S1793536909000047
Abstract
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ISSN
1793-5369
ISBN
Medium
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Funding
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
667
Permanent link to this record
Author
Zhang, M. ; Zhang, Y. ; Shu, Q. ; Zhao, C. ; Wang, G. ; Wu, Z. ; Qiao, F.
Title
Spatiotemporal evolution of the chlorophyll a trend in the North Atlantic Ocean
Type
$loc['typeJournal Article']
Year
2018
Publication
The Science of the Total Environment
Abbreviated Journal
Sci Total Environ
Volume
612
Issue
Pages
1141-1148
Keywords
Chlorophyll a ; Dipole pattern ; Multidimensional ensemble empirical mode decomposition ; Propagation ; Spatiotemporal evolution ; The variable trend
Abstract
Analyses of the chlorophyll a concentration (chla) from satellite ocean color products have suggested the decadal-scale variability of chla linked to the climate change. The decadal-scale variability in chla is both spatially and temporally non-uniform. We need to understand the spatiotemporal evolution of chla in decadal or multi-decadal timescales to better evaluate its linkage to climate variability. Here, the spatiotemporal evolution of the chla trend in the North Atlantic Ocean for the period 1997-2016 is analyzed using the multidimensional ensemble empirical mode decomposition method. We find that this variable trend signal of chla shows a dipole pattern between the subpolar gyre and along the Gulf Stream path, and propagation along the opposite direction of the North Atlantic Current. This propagation signal has an overlapping variability of approximately twenty years. Our findings suggest that the spatiotemporal evolution of chla during the two most recent decades is part of the multidecadal variations and possibly regulated by the changes of Atlantic Meridional Overturning Circulation, whereas the mechanisms of such evolution patterns still need to be explored.
Address
First Institute of Oceanography, State Oceanic Administration, Qingdao, China; Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China; Key Laboratory of Data Analysis and Applications, State Oceanic Administration, Qingdao, China. Electronic address: qiaofl@fio.org.cn
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
English
Summary Language
Original Title
Series Editor
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Series Volume
Series Issue
Edition
ISSN
0048-9697
ISBN
Medium
Area
Expedition
Conference
Funding
PMID:28892858
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
363
Permanent link to this record
Author
Wu, Z. ; Feng, J. ; Qiao, F. ; Tan, Z.-M.
Title
Fast multidimensional ensemble empirical mode decomposition for the analysis of big spatio-temporal datasets
Type
$loc['typeJournal Article']
Year
2016
Publication
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
Abbreviated Journal
Philos Trans A Math Phys Eng Sci
Volume
374
Issue
2065
Pages
20150197
Keywords
adaptive and local data analysis ; data compression ; empirical orthogonal function ; fast algorithm ; multidimensional ensemble empirical mode decomposition ; principal component analysis
Abstract
In this big data era, it is more urgent than ever to solve two major issues: (i) fast data transmission methods that can facilitate access to data from non-local sources and (ii) fast and efficient data analysis methods that can reveal the key information from the available data for particular purposes. Although approaches in different fields to address these two questions may differ significantly, the common part must involve data compression techniques and a fast algorithm. This paper introduces the recently developed adaptive and spatio-temporally local analysis method, namely the fast multidimensional ensemble empirical mode decomposition (MEEMD), for the analysis of a large spatio-temporal dataset. The original MEEMD uses ensemble empirical mode decomposition to decompose time series at each spatial grid and then pieces together the temporal-spatial evolution of climate variability and change on naturally separated timescales, which is computationally expensive. By taking advantage of the high efficiency of the expression using principal component analysis/empirical orthogonal function analysis for spatio-temporally coherent data, we design a lossy compression method for climate data to facilitate its non-local transmission. We also explain the basic principles behind the fast MEEMD through decomposing principal components instead of original grid-wise time series to speed up computation of MEEMD. Using a typical climate dataset as an example, we demonstrate that our newly designed methods can (i) compress data with a compression rate of one to two orders; and (ii) speed-up the MEEMD algorithm by one to two orders.
Address
School of Atmospheric Sciences, Nanjing University, Nanjing, Jiangsu Province, People's Republic of China
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
English
Summary Language
Original Title
Series Editor
Series Title
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Series Volume
Series Issue
Edition
ISSN
1364-503X
ISBN
Medium
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Conference
Funding
PMID:26953173; PMCID:PMC4792406
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
57
Permanent link to this record
Author
Fu, C.B. ; Qian, C. ; Wu, Z.H.
Title
Projection of global mean surface air temperature changes in next 40 years: Uncertainties of climate models and an alternative approach
Type
$loc['typeJournal Article']
Year
2011
Publication
Science China Earth Sciences
Abbreviated Journal
Sci. China Earth Sci.
Volume
54
Issue
9
Pages
1400-1406
Keywords
decadal prediction ; global warming ; multi-decadal climate variability ; the Ensemble Empirical Mode Decomposition ; CMIP3 multi-model
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Series Editor
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Series Issue
Edition
ISSN
1674-7313
ISBN
Medium
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Conference
Funding
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
293
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Author
Chen, X. ; Zhang, Y. ; Zhang, M. ; Feng, Y. ; Wu, Z. ; Qiao, F. ; Huang, N.E.
Title
Intercomparison between observed and simulated variability in global ocean heat content using empirical mode decomposition, part I: modulated annual cycle
Type
$loc['typeJournal Article']
Year
2013
Publication
Climate Dynamics
Abbreviated Journal
Clim Dyn
Volume
41
Issue
11-12
Pages
2797-2815
Keywords
Ocean heat content ; Modulated annual cycle ; Empirical mode decomposition ; Instantaneous frequency ; Instantaneous amplitude ; CMIP3
Abstract
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Thesis
Publisher
Place of Publication
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Series Editor
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Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
0930-7575
ISBN
Medium
Area
Expedition
Conference
Funding
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
209
Permanent link to this record
Author
Wu, Z. ; Huang, N.E. ; Wallace, J.M. ; Smoliak, B.V. ; Chen, X.
Title
On the time-varying trend in global-mean surface temperature
Type
$loc['typeJournal Article']
Year
2011
Publication
Climate Dynamics
Abbreviated Journal
Clim Dyn
Volume
37
Issue
3-4
Pages
759-773
Keywords
Global warming trend ; Multidecadal variability ; Ensemble empirical mode decomposition ; IPCC AR4
Abstract
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
0930-7575
ISBN
Medium
Area
Expedition
Conference
Funding
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
299
Permanent link to this record