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Bourassa, M. A.; Smith, S. R. | ||||
| Title | Uncertainties in monthly wind fields | Type | $loc['typeReport'] | ||
| Year | 2006 | Publication | Abbreviated Journal | ||
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| Series Editor | Series Title | Climate Observation Program 4th Annual System Review, NOAA, Silver Spring, MD, USA | Abbreviated Series Title | ||
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| Area | Expedition | Conference | |||
| Funding | NOAA, NSF | Approved | $loc['no'] | ||
| Call Number | COAPS @ mfield @ | Serial | 935 | ||
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| Author |
Bourassa, M. A.; Smith, S. R.; Hughes, P.; Rolph, J. | ||||
| Title | Atlantic monthly air-sea fluxes and the 2005 hurricanes | Type | $loc['typeJournal Article'] | ||
| Year | 2006 | Publication | Bulletin of the American Meteorological Society | Abbreviated Journal | |
| Volume | 87 (State of the Climate in 2005) | Issue | Pages | 535 | |
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| Funding | NOAA, OCO, NSF | Approved | $loc['no'] | ||
| Call Number | COAPS @ mfield @ | Serial | 937 | ||
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| Author |
Briggs, K. | ||||
| 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 | |
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 614 | ||
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| Author |
Culin, J. C. | ||||
| Title | Wintertime ENSO Variability in Wind Direction Across the Southeast United States | Type | $loc['typeManuscript'] | ||
| Year | 2006 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | |||
| Keywords | Wind Roses, Southeast United States, Surface Wind Direction, ENSO, NCEP/NCAR Reanalysis | ||||
| Abstract | Changes in wind direction in association with the phases of the El Niño-Southern Oscillation (ENSO) are identified over the Southeast region of the United States during the winter season (December-February). Wind roses, which depict the percentage of time the wind comes from each direction and can graphically identify the prevailing wind, are computed according to a 12-point compass for 24 stations in the region. Unfolding the wind rose into a 12-bin histogram visually demonstrates the peak frequencies in wind direction during each of the three (warm, cold and neutral) phases of ENSO. Normalized values represent the number of occurrences (counts) per month per ENSO phase, and comparison using percent changes illustrates the differences between phases. Based on similarities in wind direction characteristics, regional topography and results from a formal statistical test, stations are grouped into five geographic regions, with a representative station used to describe conditions in that region. Locations in South Florida show significant differences in the frequencies in wind direction from easterly directions during the cold phase and northerly directions during the warm phase. North Florida stations display cold phase southerly directions, and westerly and northerly directions during the warm phase, both of which are significant for much of the winter. Coastal Atlantic stations reveal winds from westerly directions for both phases. The Piedmont region demonstrates large variability in wind direction due to the influence from the Appalachian Mountains, but generally identifies warm phase and cold phase winds with more zonal influences rather than just from south or north. The Mountainous region also indicates southerly cold phase winds and northerly warm phase winds, but also reveals less of an influence from ENSO or significantly different distributions. Comparisons between observed patterns and those obtained using the NCEP/NCAR Reanalysis data reveal how the model-derived observations resolve the ENSO influence on surface wind direction at selected locations. Overall, resolution of the strength of the signals is not achieved, though the depiction of the general pattern is fair at two of the three locations. Connections between the synoptic flow and surface wind direction are examined via relationships to the storm track associated with the 250 hPa jet stream and sea level pressure patterns during each extreme ENSO phase. Discussion of reasons the NCEP reanalysis illustrates surface wind direction patterns different from those derived from observations is included. | ||||
| Address | Department of Meteorology | ||||
| Corporate Author | Thesis | $loc['Master's thesis'] | |||
| Publisher | Florida State University | Place of Publication | Tallahassee, FL | Editor | |
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 615 | ||
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| Author |
Dukhovskoy, D. S.; Morey, S. L.; O'Brien, J. J. | ||||
| Title | Baroclinic topographic waves on the Nicaragua Shelf generated by tropical cyclones | Type | $loc['typeReport'] | ||
| Year | 2006 | Publication | Abbreviated Journal | ||
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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. 36 | Abbreviated Series Title | ||
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| Funding | ONR, NASA | Approved | $loc['no'] | ||
| Call Number | COAPS @ mfield @ | Serial | 924 | ||
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| Author |
Dukhovskoy, D.; Johnson, M.; Proshutinsky, A. | ||||
| Title | Arctic decadal variability from an idealized atmosphere-ice-ocean model: 2. Simulation of decadal oscillations | Type | $loc['typeJournal Article'] | ||
| Year | 2006 | Publication | Journal of Geophysical Research | Abbreviated Journal | J. Geophys. Res. |
| Volume | 111 | Issue | C6 | Pages | |
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| Series Volume | Series Issue | Edition | |||
| ISSN | 0148-0227 | ISBN | Medium | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 436 | ||
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| Author |
Dukhovskoy, D.; Johnson, M.; Proshutinsky, A. | ||||
| Title | Arctic decadal variability from an idealized atmosphere-ice-ocean model: 1. Model description, calibration, and validation | Type | $loc['typeJournal Article'] | ||
| Year | 2006 | Publication | Journal of Geophysical Research | Abbreviated Journal | J. Geophys. Res. |
| Volume | 111 | Issue | C6 | Pages | |
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| ISSN | 0148-0227 | ISBN | Medium | ||
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| Funding | NSF | Approved | $loc['no'] | ||
| Call Number | COAPS @ mfield @ | Serial | 437 | ||
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| Author |
Dukhovskoy, D.S.; Morey, S.L.; O'Brien, J.J. | ||||
| Title | Influence of multi-step topography on barotropic waves and consequences for numerical modeling | Type | $loc['typeJournal Article'] | ||
| Year | 2006 | Publication | Ocean Modelling | Abbreviated Journal | Ocean Modelling |
| Volume | 14 | Issue | 1-2 | Pages | 45-60 |
| Keywords | numerical models; ocean mathematical models; topographic waves; double Kelvin waves; continental shelves; shelf waves | ||||
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| ISSN | 1463-5003 | ISBN | Medium | ||
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| Funding | ONR, NASA | Approved | $loc['no'] | ||
| Call Number | COAPS @ mfield @ | Serial | 443 | ||
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| Author |
Fraisse, C.W.; Breuer, N.E.; Zierden, D.; Bellow, J.G.; Paz, J.; Cabrera, V.E.; Garcia y Garcia, A.; Ingram, K.T.; Hatch, U.; Hoogenboom, G.; Jones, J.W.; O'Brien, J.J. | ||||
| Title | AgClimate: A climate forecast information system for agricultural risk management in the southeastern USA | Type | $loc['typeJournal Article'] | ||
| Year | 2006 | Publication | Computers and Electronics in Agriculture | Abbreviated Journal | Computers and Electronics in Agriculture |
| Volume | 53 | Issue | 1 | Pages | 13-27 |
| Keywords | crop models climate variability; decision making; ENSO; El Nino; extension | ||||
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| ISSN | 0168-1699 | ISBN | Medium | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 434 | ||
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| Author |
Goto, Y.; Shin, D. W.; O'Brien, J. J. | ||||
| Title | Sensitivity of leaf area index in Florida to temperature simulation by FSURSM | Type | $loc['typeReport'] | ||
| Year | 2006 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | 5-21 | ||
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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 | 930 | ||
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