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Author (up) Arguez, A. url  openurl
  Title Indexing, Mode Definition, and Signal Extraction in Climate Research: Analysis and Applications Involving the MJO, the AO, and ENSO Type $loc['typeManuscript']
  Year 2005 Publication Abbreviated Journal  
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  Abstract There are two objectives of the present study. The primary objective is to undertake the following research projects involving the Arctic Oscillation (AO), the El Niño Southern Oscillation (ENSO), and the Madden Julian Oscillation (MJO): (1) an assessment of the utility of using Cyclo-stationary empirical orthogonal function (CSEOF) analysis to define the AO, (2) an empirical analysis of ENSO impacts based on varying indicator and impact regions, (3) detection and extraction of the MJO signal from QuikSCAT, and (4) the development of a general algorithm for determining optimal filter weights for time series endpoints. A secondary objective is to enumerate the statistical and analytical treatments of the AO, ENSO, and the MJO. This will include comparisons of how these three modes are defined (including their indices) and extracted from geophysical data sets. The AO is defined using empirical orthogonal function (EOF) analysis of sea level pressure north of 20'N. The resulting spatial pattern and time series captures the regional influence of its precursor, the North Atlantic Oscillation (NAO), which is a measure of mid-latitude zonal winds over the North Atlantic. ENSO was originally defined as the pressure difference between Tahiti and Darwin, Australia: the Southern Oscillation Index. Scientists now primarily use sea surface temperature (SST) anomalies averaged over one of the Ni'o regions as ENSO indices. The MJO was originally observed using spectral analysis of zonal wind time series in the Indian Ocean and Western Pacific. Present day researchers use extensions of EOF analysis to construct MJO time series. For all three climate modes, the creation of high quality space-time data sets has allowed for more sophisticated indices, supplanting the simpler point-based metrics. For the AO project, the cyclo-stationarity of Northern Hemisphere sea level pressure variability is considered. CSEOF analysis is an extension of EOF analysis that allows multiple spatial maps per mode. It accomplishes this by cyclically extending the covariance matrix based on a parameter called the nested period. By using a nested period of 12, a climate mode can be decomposed into a series of 12 monthly maps and an associated time series. Unlike EOF PC time series, which typically have larger amplitudes during winter months, CSEOF PC time series do not favor a particular season because the physical evolution of the climate mode is posited in the loading vectors (the maps) rather than the time series. This is impossible to accomplish with regular EOF analysis because it relegates each mode to one single map. A compelling case is made for a cyclo-stationary interpretation of AO variability. The leading CSEOF mode includes AO-type variability during a winter regime, as well as a summer regime characterized by pressure anomalies centered over Mongolia and associated with rainfall variability in the vicinity of the Ganges delta and eastern China. EOF modes that contribute to the resulting maps of the leading CSEOF mode are identified, including the eighth mode, which is deemed responsible for the summertime Asian pattern. CSEOF analysis of the AO mode only exemplifies the power of CSEOF analysis with regard to transferring a mode's physical evolution from a PC time series to a series of loading vectors. For the ENSO project, traditional ENSO impact analysis was recast to investigate the teleconnections between U.S. climate and varying indicator regions of SST anomalies in the tropical Pacific. This serves the dual purpose of finding a targeted indicator region for a particular impact zone (i.e. a localization of the teleconnection pattern) and indirectly assessing the viability of well-established ENSO indices (i.e. the Ni'o indices). Based on a selection of impact grid points with known ENSO responses, it appears that the most appropriate indicator region often varies from one impact grid point to another, as well as from warm SST phase to cold SST phase. In addition, air temperature composites behave differently than precipitation composites. In order to simultaneously consider the 'impact perspective' detailed above with the typical 'indicator perspective' (in which climate impacts are computed based on the well-established Ni'o indices), EOF analysis of composited climate fields, conditioned on SST phase, as functions of indicator region and impact zone was performed. The resulting modes represent indicator-impact pairs. Each mode has an impact amplitude function (a spatial temperature or precipitation anomaly signature over the impact region) and an associated indicator weighting function, which modulates the impact amplitude function based on the location of the indicator region. Based on this approach, the unusual yet well-established La Ni'a air temperature impact over the U.S. when using the Ni'o 1+2 region is accounted for as the superposition of two EOF modes. In addition, a teleconnection between tropical Pacific SST and Southeastern U.S. temperature anomalies is documented that is not related to ENSO. For the MJO project, wind data from the SeaWinds instrument on the QuikSCAT satellite are investigated to ascertain how well the surface manifestation of the MJO can be resolved. The MJO signal is detected in non-filtered gridded data using Extended EOF analysis of the zonal wind field, overshadowed by annual, semi-annual, and monsoon-related modes. After bandpass filtering with Lanczos weights, MJO signals are clearly detected in several kinematic quantities, including the zonal wind speed, the zonal pseudostress, and the velocity potential. Extraction of the MJO using QuikSCAT winds compares favorably with extraction using NCEP Reanalysis 2, except that the QuikSCAT signal appears to be more robust. For the filtering project, least squares techniques are utilized to retain endpoint intervals that are normally discarded due to filtering with convolutions in the time domain. The techniques minimize the errors between the pre-determined frequency response function (FRF) of interior points with FRF's that are to be determined for each position in the endpoint zone. The least squares techniques are differentiated by their constraints: (1) unconstrained, (2) equal-mean constraint, and (3) an equal-variance constraint. The equal-mean constraint forces the new weights to sum up to the same value as the pre-determined weights. The equal-variance constraint forces the new weights to be such that, after convolved with the input values, the expected variance is identical to the expected variance of the interior points. These 3 least squares methods are tested under three separate filtering scenarios and compared to each other as well as to the spectral filtering method, which is the standard of comparison. The results indicate that all 4 methods (including the spectral method) possess skill at determining suitable endpoints estimates. However, both the unconstrained and equal-mean schemes exhibit bias toward zero near the terminal ends due to problems with appropriating variance. The equal-variance and spectral techniques do not show evidence of this attribute and were never the worst performers. The equal-variance method showed great promise in the ENSO project involving a 5-month running mean filter, and performed at least on par with the other methods for virtually all time series positions in all three filtering scenarios.  
  Address Department of Meteorology  
  Corporate Author Thesis $loc['Ph.D. thesis']  
  Publisher Florida State University Place of Publication Tallahassee, FL Editor  
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  Call Number COAPS @ mfield @ Serial 590  
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Author (up) Arguez, A.; Bourassa, M.A.; O'Brien, J.J. url  doi
openurl 
  Title Detection of the MJO Signal from QuikSCAT Type $loc['typeJournal Article']
  Year 2005 Publication Journal of Atmospheric and Oceanic Technology Abbreviated Journal J. Atmos. Oceanic Technol.  
  Volume 22 Issue 12 Pages 1885-1894  
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  ISSN 0739-0572 ISBN Medium  
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  Funding NASA, NOAA, NSF Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 445  
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Author (up) Banks, R. F.; O'Brien, J. J.; Smith, S. R. openurl 
  Title Spatial and temporal variability of precipitation runs in the Southeast U.S. and their potential impact on agriculture Type $loc['typeConference Article']
  Year 2005 Publication 15th AMS Conference on Applied Climatology, AMS, Savannah, GA, USA Abbreviated Journal  
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  Call Number COAPS @ mfield @ Serial 895  
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Author (up) Bellow, J. G. openurl 
  Title Climate Forecasts for Thermal Units Prediction: Chilling Accumulation and Winter Crop Development in Alabama, Florida and Georgia Type $loc['typeConference Article']
  Year 2005 Publication American Society of Agronomy meeting, Nov. 6-10, Salt Lake City, Utah, USA Abbreviated Journal  
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  Call Number COAPS @ mfield @ Serial 913  
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Author (up) Boisserie, M.; LaRow, T.; Cocke, S. D.; Shin, D. W. openurl 
  Title Comparison of Soil Moisture in the FSU Climate Model Coupled to a Land Model CLM2 to Soil Moisture from NCEP/DOE Reanalysis 2 Type $loc['typeReport']
  Year 2005 Publication Abbreviated Journal  
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  Series Editor Series Title Research Activities in Atmospheric and Ocean Modeling, CAS/JSC Working Group on Numerical Experimentation Abbreviated Series Title  
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  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 905  
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Author (up) Bourassa, M.A.; Romero, R.; Smith, S.R.; O'Brien, J.J. url  doi
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  Title A New FSU Winds Climatology Type $loc['typeJournal Article']
  Year 2005 Publication Journal of Climate Abbreviated Journal J. Climate  
  Volume 18 Issue 17 Pages 3686-3698  
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  Series Volume Series Issue Edition  
  ISSN 0894-8755 ISBN Medium  
  Area Expedition Conference  
  Funding NASA, NOAA, NSF, ONR Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 449  
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Author (up) Dukhovskoy, D. S.; Morey, S. L.; O'Brien, J. J. openurl 
  Title Topographic Rossby Waves in a Z-Level Ocean Model Type $loc['typeReport']
  Year 2005 Publication Abbreviated Journal  
  Volume Issue Pages 03.05-03.06  
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  Publisher World Meteorological Organization Place of Publication Geneva, Switzerland Editor Cote, J.  
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  Series Editor Series Title Research Activities in Atmospheric and Ocean Modeling, Report No. 35 Abbreviated Series Title  
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  Funding ONR, NASA Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 903  
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Author (up) Dukhovskoy, D. S.; Morey, S. L.; O'Brien, J. J. openurl 
  Title Topographic Rossby waves in a z-level ocean model Type $loc['typeMagazine Article']
  Year 2005 Publication Eos Trans. AGU Abbreviated Journal  
  Volume 86 Issue 18 Pages Jt. Assem. Suppl., Abstract OS22A-06  
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  Funding ONR, NASA Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 909  
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Author (up) Fraisse, C.; Bellow, J.; Breuer, N.; Cabrera, V.; Jones, J.; Ingram, K.; Hoogenboom, G.; Paz, J. openurl 
  Title Strategic Plan for the Southeast Climate Consortium Extension Program Type $loc['typeReport']
  Year 2005 Publication Abbreviated Journal  
  Volume Issue Pages 12  
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  Series Editor Series Title Southeast Climate Consortium Technical Report Series Abbreviated Series Title  
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  Funding USDA Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 908  
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Author (up) Kara, A.B.; Hurlburt, H.E.; Wallcraft, A.J.; Bourassa, M.A. url  doi
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  Title Black Sea Mixed Layer Sensitivity to Various Wind and Thermal Forcing Products on Climatological Time Scales Type $loc['typeJournal Article']
  Year 2005 Publication Journal of Climate Abbreviated Journal J. Climate  
  Volume 18 Issue 24 Pages 5266-5293  
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  Series Volume Series Issue Edition  
  ISSN 0894-8755 ISBN Medium  
  Area Expedition Conference  
  Funding DOD, NRL Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 446  
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