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Author Wu, Z.; Feng, J.; Qiao, F.; Tan, Z.-M. url  doi
openurl 
  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.; Chassignet, E.P.; Ji, F.; Huang, J. url  doi
openurl 
  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  
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  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 Ji, F.; Wu, Z.; Huang, J.; Chassignet, E.P. url  doi
openurl 
  Title Evolution of land surface air temperature trend Type $loc['typeJournal Article']
  Year 2014 Publication Nature Climate Change Abbreviated Journal Nature Climate change  
  Volume 4 Issue 6 Pages 462-466  
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  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 131  
Permanent link to this record
 

 
Author Wdowinski, S.; Bray, R.; Kirtman, B.P.; Wu, Z. url  doi
openurl 
  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  
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  Corporate Author Thesis  
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  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 Fu, C.B.; Qian, C.; Wu, Z.H. url  doi
openurl 
  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  
  Abstract  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1674-7313 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 293  
Permanent link to this record
 

 
Author Sun, J.; Wu, Z. url  doi
openurl 
  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 812 days; the western Pacific Ocean consists of almost equal energy distribution of MRG waves in the period ranges of 36 and 812 days, respectively; and the eastern tropical Pacific Ocean and the tropical Atlantic Ocean are dominated by MRG waves in the period range of 36 days. The zonal wavenumbers mostly fall within the band of 415, with Indian Ocean has larger portion of higher wavenumber (smaller wavelength components) MRG waves.  
  Address  
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  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 Hu, X.; Cai, M.; Yang, S.; Wu, Z. url  doi
openurl 
  Title Delineation of thermodynamic and dynamic responses to sea surface temperature forcing associated with El Niño Type $loc['typeJournal Article']
  Year 2018 Publication Climate Dynamics Abbreviated Journal Clim Dyn  
  Volume 51 Issue 11-12 Pages 4329-4344  
  Keywords El Niño; SST anomalies; Thermodynamic and dynamic responses; Gill-type response  
  Abstract A new framework is proposed to gain a better understanding of the response of the atmosphere over the tropical Pacific to the radiative heating anomaly associated with the sea surface temperature (SST) anomaly in canonical El Niño winters. The new framework is based on the equilibrium balance between thermal radiative cooling anomalies associated with air temperature response to SST anomalies and other thermodynamic and dynamic processes. The air temperature anomalies in the lower troposphere are mainly in response to radiative heating anomalies associated with SST, atmospheric water vapor, and cloud anomalies that all exhibit similar spatial patterns. As a result, air temperature induced thermal radiative cooling anomalies would balance out most of the radiative heating anomalies in the lower troposphere. The remaining part of the radiative heating anomalies is then taken away by an enhancement (a reduction) of upward energy transport in the central-eastern (western) Pacific basin, a secondary contribution to the air temperature anomalies in the lower troposphere. Above the middle troposphere, radiative effect due to water vapor feedback is weak. Thermal radiative cooling anomalies are mainly in balance with the sum of latent heating anomalies, vertical and horizontal energy transport anomalies associated with atmospheric dynamic response and the radiative heating anomalies due to changes in cloud. The pattern of Gill-type response is attributed mainly to the non-radiative heating anomalies associated with convective and large-scale energy transport. The radiative heating anomalies associated with the anomalies of high clouds also contribute positively to the Gill-type response. This sheds some light on why the Gill-type atmospheric response can be easily identifiable in the upper atmosphere.  
  Address  
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  Series Volume Series Issue Edition  
  ISSN 0930-7575 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ user @ Serial 997  
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Author Misra, V.; Li, H.; Wu, Z.; DiNapoli, S. url  doi
openurl 
  Title Global seasonal climate predictability in a two tiered forecast system: part I: boreal summer and fall seasons Type $loc['typeJournal Article']
  Year 2014 Publication Climate Dynamics Abbreviated Journal Clim Dyn  
  Volume 42 Issue 5-6 Pages 1425-1448  
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  Series Volume Series Issue Edition  
  ISSN 0930-7575 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 142  
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Author Chen, X.; Zhang, Y.; Zhang, M.; Feng, Y.; Wu, Z.; Qiao, F.; Huang, N.E. url  doi
openurl 
  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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  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 209  
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Author Huang, B.; Hu, Z.-Z.; Schneider, E.K.; Wu, Z.; Xue, Y.; Klinger, B. url  doi
openurl 
  Title Influences of tropical-extratropical interaction on the multidecadal AMOC variability in the NCEP climate forecast system Type $loc['typeJournal Article']
  Year 2012 Publication Climate Dynamics Abbreviated Journal Clim Dyn  
  Volume 39 Issue 3-4 Pages 531-555  
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  Series Volume Series Issue Edition  
  ISSN 0930-7575 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 244  
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