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Author Ali, M.M.; Bhat, G.S.; Long, D.G.; Bharadwaj, S.; Bourassa, M.A. url  doi
openurl 
  Title Estimating Wind Stress at the Ocean Surface From Scatterometer Observations Type $loc['typeJournal Article']
  Year 2013 Publication IEEE Geoscience and Remote Sensing Letters Abbreviated Journal IEEE Geosci. Remote Sensing Lett.  
  Volume 10 Issue 5 Pages 1129-1132  
  Keywords Atmospheric stability; neutral stability; scatterometer; wind stress  
  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 1545-598X ISBN Medium  
  Area Expedition Conference  
  Funding NASA, OVWST Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 184  
Permanent link to this record
 

 
Author Ali, M.M.; Bourassa, M.A.; Bhowmick, S.A.; Sharma, R.; Niharika, K. url  doi
openurl 
  Title Retrieval of Wind Stress at the Ocean Surface From AltiKa Measurements Type $loc['typeJournal Article']
  Year 2016 Publication IEEE Geoscience and Remote Sensing Letters Abbreviated Journal IEEE Geosci. Remote Sensing Lett.  
  Volume 13 Issue 6 Pages 821-825  
  Keywords AltiKa; artificial neural networks (ANNs); wind stress  
  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 1545-598X ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 29  
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Author Briggs, K. url  openurl
  Title ENSO Event Reproduction: A Comparison of an EOF vs. A Cyclostationary (CSEOF) Approach Type $loc['typeManuscript']
  Year 2006 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords EOF, Autoregression, Wind Stress, Sea Level Height, SST, ENSO, Regression, CSEOF, Cyclostationary  
  Abstract In past studies, El Niño-Southern Oscillation (ENSO) events have been linked to devastating weather extremes. Climate modeling of ENSO is often dependent on limited records of the pertinent physical variables, thus longer records of these variables is desirable. Noisy signals, such as monthly sea surface temperature, are good candidates for reproduction by several existing auto-regression techniques. Through auto-regression, influential principal component modes are broken down into a series of time points that are each dependent upon an optimal weighting of the surrounding points. Using these unique numerical relationships, a noisy signal can be reproduced by thus processing the leading modes and adding an artificial record of properly distributed noise. Statistical measures of important ENSO regions suggest that the nature of oceanic and atmospheric anomalous events is cyclic with respect to certain timescales; for example, the monthly timescale. To detect ENSO signals in the presence of a varying background noise field, the detection method should take into account the signal's strong phase-locking with this nested variation. Cyclostationary Emperical Orthogonal Functions (CSEOFs) are built upon the idea of nested cycles, unlike traditional EOFs, which incorporate a design that is better detailed for stationary processes. In this study, both EOF and CSEOF modes of a 50-year Pacific SST record are processed using an auto-regression technique, and several sets of artificial SST records are constructed. Appropriate statistical indices are applied to these artificial time series to ensure an acceptable consistency with the real record, and then artificial data is produced using the artificial time series. In all cases, the cyclostationary approach produces more realistic warm ENSO events with respect to timing, strength, and other traits than does the stationary approach. However, both methods produce only a fair representation of cold events, suggesting that further study is necessary for improvement of La Niña modeling. Shorter records of variables such as sea level height and Pacific wind stress anomalies can hinder the usefulness of auto-regression, owing to time point dependence on surrounding points. Using a regression technique to find an evolutionary consistency (i.e. physically consistent patterns) between one of these variables and a variable with a longer record (such as SST) can eliminate this problem. Once a regression relationship is found between two variables, the variable with the shorter record can be re-written to match the time evolution of the variable with the longer record. Here regression, both EOF and CSEOF, is performed on both sea surface temperature and sea level height (a 20-year record), and sea surface temperature and wind stress (a 39-year record). Once the regression relationships are found, artificial SST time series are incorporated in place of the original time series to produce several artificial 50-year SLH and wind stress data sets. 5 Pacific regions are chosen, and statistics and behavior of the artificial sets within these regions are compared to those of the original data. Once again the cyclostationary approach fares better than the stationary. In particular the EOF assumption of cross correlational symmetry fails to capture the direction-dependence of ENSO evolution, causing inconsistent ENSO behavior. This renders an EOF method insufficient for climate modeling and prediction, and implies that a better aim is to incorporate physical cyclic features via a cyclostationary method.  
  Address Department of Meteorology  
  Corporate Author Thesis $loc['Master's thesis']  
  Publisher Florida State University Place of Publication Tallahassee, FL Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 614  
Permanent link to this record
 

 
Author Kara, A.B.; Rochford, P.A.; Hurlburt, H.E. url  doi
openurl 
  Title Air-Sea Flux Estimates And The 1997-1998 Enso Event Type $loc['typeJournal Article']
  Year 2002 Publication Boundary-Layer Meteorology Abbreviated Journal Boundary-Layer Meteorology  
  Volume 103 Issue 3 Pages 439-458  
  Keywords bulk formulae; El Nino; La Nina; latent and sensible heat flux; ocean mixed-layer depth; wind stress  
  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 0006-8314 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 495  
Permanent link to this record
 

 
Author Nof, D.; Jia, Y.; Chassignet, E.; Bozec, A. url  doi
openurl 
  Title Fast Wind-Induced Migration of Leddies in the South China Sea Type $loc['typeJournal Article']
  Year 2011 Publication Journal of Physical Oceanography Abbreviated Journal J. Phys. Oceanogr.  
  Volume 41 Issue 9 Pages 1683-1693  
  Keywords Eddies; Seas; gulfs; bays; Wind stress; Numerical analysis/modeling; Monsoons  
  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 0022-3670 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 324  
Permanent link to this record
 

 
Author Smith, S.R.; Lopez, N.; Bourassa, M.A. url  doi
openurl 
  Title SAMOS air-sea fluxes: 2005-2014 Type $loc['typeJournal Article']
  Year 2016 Publication Geoscience Data Journal Abbreviated Journal Geosci. Data J.  
  Volume 3 Issue 1 Pages 9-19  
  Keywords air-sea flux; marine meteorology; marine climatology; heat flux; wind stress  
  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 2049-6060 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 52  
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