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Author
Qian, C. ; Fu, C. ; Wu, Z. ; Yan, Z.
Title
On the secular change of spring onset at Stockholm
Type
$loc['typeJournal Article']
Year
2009
Publication
Geophysical Research Letters
Abbreviated Journal
Geophys. Res. Lett.
Volume
36
Issue
12
Pages
Keywords
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
0094-8276
ISBN
Medium
Area
Expedition
Conference
Funding
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
389
Permanent link to this record
Author
Qian, C. ; Wu, Z. ; Fu, C. ; Wang, D.
Title
On Changing El Nino: A View from Time-Varying Annual Cycle, Interannual Variability, and Mean State
Type
$loc['typeJournal Article']
Year
2011
Publication
Journal of Climate
Abbreviated Journal
J. Climate
Volume
24
Issue
24
Pages
6486-6500
Keywords
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
0894-8755
ISBN
Medium
Area
Expedition
Conference
Funding
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
283
Permanent link to this record
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
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
0256-1530
ISBN
Medium
Area
Expedition
Conference
Funding
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
355
Permanent link to this record
Author
Qian, C. ; Yan, Z. ; Wu, Z. ; Fu, C. ; Tu, K.
Title
Trends in temperature extremes in association with weather-intraseasonal fluctuations in eastern China
Type
$loc['typeJournal Article']
Year
2011
Publication
Advances in Atmospheric Sciences
Abbreviated Journal
Adv. Atmos. Sci.
Volume
28
Issue
2
Pages
297-309
Keywords
climate extremes ; EEMD ; weather-intraseasonal fluctuations ; modulated annual cycle ; global warming
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
0256-1530
ISBN
Medium
Area
Expedition
Conference
Funding
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
310
Permanent link to this record
Author
Sun, J. ; Wu, Z.
Title
Isolating spatiotemporally local mixed Rossby-gravity waves using multi-dimensional ensemble empirical mode decomposition
Type
$loc['typeJournal Article']
Year
2019
Publication
Climate Dynamics
Abbreviated Journal
Clim Dyn
Volume
Issue
3-4
Pages
1383-1405
Keywords
Abstract
Tropical waves have relatively large amplitudes in and near convective systems, attenuating as they propagate away from the area where they are generated due to the dissipative nature of the atmosphere. Traditionally, nonlocal analysis methods, such as those based on the Fourier transform, are applied to identify tropical waves. However, these methods have the potential to lead to the misidentification of local wavenumbers and spatial locations of local wave activities. To address this problem, we propose a new method for analyzing tropical waves, with particular focus placed on equatorial mixed Rossby-gravity (MRG) waves. The new tropical wave analysis method is based on the multi-dimensional ensemble empirical mode decomposition and a novel spectral representation based on spatiotemporally local wavenumber, frequency, and amplitude of waves. We first apply this new method to synthetic data to demonstrate the advantages of the method in revealing characteristics of MRG waves. We further apply the method to reanalysis data (1) to identify and isolate the spatiotemporally heterogeneous MRG waves event by event, and (2) to quantify the spatial inhomogeneity of these waves in a wavenumber-frequency-energy diagram. In this way, we reveal the climatology of spatiotemporal inhomogeneity of MRG waves and summarize it in wavenumber-frequency domain: The Indian Ocean is dominated by MRG waves in the period range of 8–12 days; the western Pacific Ocean consists of almost equal energy distribution of MRG waves in the period ranges of 3–6 and 8–12 days, respectively; and the eastern tropical Pacific Ocean and the tropical Atlantic Ocean are dominated by MRG waves in the period range of 3–6 days. The zonal wavenumbers mostly fall within the band of 4–15, with Indian Ocean has larger portion of higher wavenumber (smaller wavelength components) MRG waves.
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 @ user @
Serial
1093
Permanent link to this record
Author
Wdowinski, S. ; Bray, R. ; Kirtman, B.P. ; Wu, Z.
Title
Increasing flooding hazard in coastal communities due to rising sea level: Case study of Miami Beach, Florida
Type
$loc['typeJournal Article']
Year
2016
Publication
Ocean & Coastal Management
Abbreviated Journal
Ocean & Coastal Management
Volume
126
Issue
Pages
1-8
Keywords
Sea level rise ; Flooding hazard ; Tide gauge record ; EEMD ; Southeast Florida
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
0964-5691
ISBN
Medium
Area
Expedition
Conference
Funding
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
56
Permanent link to this record
Author
Wu, Z. ; Chassignet, E.P. ; Ji, F. ; Huang, J.
Title
Reply to 'Spatiotemporal patterns of warming'
Type
$loc['typeJournal Article']
Year
2014
Publication
Nature Climate Change
Abbreviated Journal
Nature Climate change
Volume
4
Issue
10
Pages
846-848
Keywords
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
1758-678X
ISBN
Medium
Area
Expedition
Conference
Funding
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
151
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
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
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
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
1793-5369
ISBN
Medium
Area
Expedition
Conference
Funding
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
667
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
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
1793-5369
ISBN
Medium
Area
Expedition
Conference
Funding
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
669
Permanent link to this record