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Author Zhang, M. ; Wu, Z. ; Qiao, F.
Title Deep Atlantic Ocean Warming Facilitated by the Deep Western Boundary Current and Equatorial Kelvin Waves Type $loc['typeJournal Article']
Year 2018 Publication Journal of Climate Abbreviated Journal J. Climate
Volume 31
Issue 20
Pages 8541-8555
Keywords Ocean ; Atlantic Ocean ; Heating ; Kelvin waves ; Ocean circulation ; Oceanic variability ; EMPIRICAL MODE DECOMPOSITION ; NONSTATIONARY TIME-SERIES ; NORTH-ATLANTIC ; CLIMATE-CHANGE ; HEAT-CONTENT ; HIATUS ; VARIABILITY ; CIRCULATION ; TEMPERATURE ; PACIFIC
Abstract Increased heat storage in deep oceans has been proposed to account for the slowdown of global surface warming since the end of the twentieth century. How the imbalanced heat at the surface has been redistributed to deep oceans remains to be elucidated. Here, the evolution of deep Atlantic Ocean heat storage since 1950 on multidecadal or longer time scales is revealed. The anomalous heat in the deep Labrador Sea was transported southward by the shallower core of the deep western boundary current (DWBC). Upon reaching the equator around 1980, this heat transport route bifurcated into two, with one continuing southward along the DWBC and the other extending eastward along a narrow strip (about 4 degrees width) centered at the equator. In the 1990s and 2000s, meridional diffusion helped to spread warming in the tropics, making the eastward equatorial warming extension have a narrow head and wider tail. The deep Atlantic Ocean warming since 1950 had overlapping variability of approximately 60 years. The results suggest that the current basinwide Atlantic Ocean warming at depths of 1000-2000 m can be traced back to the subsurface warming in the Labrador Sea in the 1950s. An inference from these results is that the increased heat storage in the twenty-first century in the deep Atlantic Ocean is unlikely to partly account for the atmospheric radiative imbalance during the last two decades and to serve as an explanation for the current warming hiatus.
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ISSN 0894-8755
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Call Number COAPS @ user @
Serial 950
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Author Qian, C. ; Wu, Z. ; Fu, C. ; Zhou, T.
Title On multi-timescale variability of temperature in China in modulated annual cycle reference frame Type $loc['typeJournal Article']
Year 2010 Publication Advances in Atmospheric Sciences Abbreviated Journal Adv. Atmos. Sci.
Volume 27
Issue 5
Pages 1169-1182
Keywords modulated annual cycle ; the Ensemble Empirical Mode Decomposition ; climate anomaly ; climate normal ; variability of surface air temperature in China
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Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0256-1530
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Funding Approved $loc['no']
Call Number COAPS @ mfield @
Serial 355
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Author Qian, C. ; Fu, C. ; Wu, Z. ; Yan, Z.
Title The role of changes in the annual cycle in earlier onset of climatic spring in northern China Type $loc['typeJournal Article']
Year 2011 Publication Advances in Atmospheric Sciences Abbreviated Journal Adv. Atmos. Sci.
Volume 28
Issue 2
Pages 284-296
Keywords spring onset ; Ensemble Empirical Mode Decomposition ; modulated annual cycle ; Asian winter monsoon ; global warming
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Series Volume Series Issue Edition
ISSN 0256-1530
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Funding Approved $loc['no']
Call Number COAPS @ mfield @
Serial 309
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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
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0930-7575
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Funding Approved $loc['no']
Call Number COAPS @ mfield @
Serial 299
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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
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Series Volume Series Issue Edition
ISSN 0930-7575
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Funding Approved $loc['no']
Call Number COAPS @ mfield @
Serial 209
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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 Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1674-7313
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Funding Approved $loc['no']
Call Number COAPS @ mfield @
Serial 293
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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 Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1364-503X
ISBN Medium
Area Expedition Conference
Funding PMID:26953173; PMCID:PMC4792406
Approved $loc['no']
Call Number COAPS @ mfield @
Serial 57
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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 Series Title Abbreviated Series Title
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
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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
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1793-5369
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Funding Approved $loc['no']
Call Number COAPS @ mfield @
Serial 667
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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
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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1793-5369
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Call Number COAPS @ mfield @
Serial 668
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