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Author (up) Davis, S. R.; Bourassa, M. A.; Atlas, R.; Ardizzone, J.; Brin, E.; O'Brien, J. J.; Zierden, D. F. openurl 
  Title Near-realtime sea surface pressure Fields from NASA's SeaWinds scatterometer and their impact in NWP Type $loc['typeReport']
  Year 2003 Publication Abbreviated Journal  
  Volume Issue Pages 01:20-21  
  Keywords  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher World Meteorological Organization Place of Publication Geneva, Switzerland Editor Ritchie, H.  
  Language Summary Language Original Title  
  Series Editor Series Title CAS/JSC Working Group on Numerical Experimentation, Research Activities in Atmospheric and Oceanic Modeling Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 876  
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Author (up) Davis, X. J. url  openurl
  Title Evaluation of wind products for forcing coastal ocean models Type $loc['typeManuscript']
  Year 2002 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address Department of Oceanography  
  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 628  
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Author (up) De Souza-Machado, S.; Tangborn, A.; Sura, P.; Hepplewhite, C.; Strow, L.L. url  doi
openurl 
  Title Non-Gaussian Analysis of Observations from the Atmospheric Infrared Sounder Compared with ERA and MERRA Reanalyses Type $loc['typeJournal Article']
  Year 2017 Publication Journal of Applied Meteorology and Climatology Abbreviated Journal J. Appl. Meteor. Climatol.  
  Volume 56 Issue 5 Pages 1463-1481  
  Keywords Satellite observations; Statistical techniques; Reanalysis data; Stochastic models  
  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 1558-8424 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 13  
Permanent link to this record
 

 
Author (up) Decima, M.; Landry, M.R.; Stukel, M.R.; Lopez-Lopez, L.; Krause, J.W. url  doi
openurl 
  Title Mesozooplankton biomass and grazing in the Costa Rica Dome: amplifying variability through the plankton food web Type $loc['typeJournal Article']
  Year 2016 Publication Journal of Plankton Research Abbreviated Journal J Plankton Res  
  Volume 38 Issue 2 Pages 317-330  
  Keywords Omz; efficiency; food chain; secondary production; trophic transfer  
  Abstract We investigated standing stocks and grazing rates of mesozooplankton assemblages in the Costa Rica Dome (CRD), an open-ocean upwelling ecosystem in the eastern tropical Pacific. While phytoplankton biomass in the CRD is dominated by picophytoplankton (<2-microm cells) with especially high concentrations of Synechococcus spp., we found high mesozooplankton biomass ( approximately 5 g dry weight m-2) and grazing impact (12-50% integrated water column chlorophyll a), indicative of efficient food web transfer from primary producers to higher levels. In contrast to the relative uniformity in water-column chlorophyll a and mesozooplankton biomass, variability in herbivory was substantial, with lower rates in the central dome region and higher rates in areas offset from the dome center. While grazing rates were unrelated to total phytoplankton, correlations with cyanobacteria (negative) and biogenic SiO2 production (positive) suggest that partitioning of primary production among phytoplankton sizes contributes to the variability observed in mesozooplankton metrics. We propose that advection of upwelled waters away from the dome center is accompanied by changes in mesozooplankton composition and grazing rates, reflecting small changes within the primary producers. Small changes within the phytoplankton community resulting in large changes in the mesozooplankton suggest that the variability in lower trophic level dynamics was effectively amplified through the food web.  
  Address Dauphin Island Sea Lab , 101 Bienville Blvd, Dauphin Island, AL 36528 , USA  
  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 0142-7873 ISBN Medium  
  Area Expedition Conference  
  Funding PMID:27275033; PMCID:PMC4889985 Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 75  
Permanent link to this record
 

 
Author (up) Deng, J.; Wu, Z.; Zhang, M.; Huang, N.E.; Wang, S.; Qiao, F. doi  openurl
  Title Data concerning statistical relation between obliquity and Dansgaard-Oeschger events Type $loc['typeJournal Article']
  Year 2019 Publication Abbreviated Journal Data Brief  
  Volume 23 Issue Pages  
  Keywords Dansgaard-Oeschger events; Obliquity; Surrogate data; Time-varying Shannon entropy  
  Abstract Data presented are related to the research article entitled “Using Holo-Hilbert spectral analysis to quantify the modulation of Dansgaard-Oeschger events by obliquity” (J. Deng et al., 2018). The datasets in Deng et al. (2018) are analyzed on the foundation of ensemble empirical mode decomposition (EEMD) (Z.H. Wu and N.E. Huang, 2009), and reveal more occurrences of Dansgaard-Oeschger (DO) events in the decreasing phase of obliquity. Here, we report the number of significant high Shannon entropy (SE) (C.E. Shannon and W. Weaver, 1949) of 95% significance level of DO events in the increasing and decreasing phases of obliquity, respectively. First, the proxy time series are filtered by EEMD to obtain DO events. Then, the time-varying SE of DO modes are calculated on the basis of principle of histogram. The 95% significance level is evaluated through surrogate data (T. Schreiber and A. Schmitz, 1996). Finally, a comparison between the numbers of SE values that are larger than 95% significance level in the increasing and decreasing phases of obliquity, respectively, is reported.  
  Address Key Laboratory of Marine Sciences and Numerical Modelling, Ministry of Natural Resources, Qingdao 266061, PR 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 2352-3409 ISBN Medium  
  Area Expedition Conference  
  Funding strtoupper('3').strtolower('1372394'); strtoupper('P').strtolower('MC6660458') Approved $loc['no']  
  Call Number COAPS @ user @ Serial 1068  
Permanent link to this record
 

 
Author (up) Deng, J.; Wu, Z.; Zhang, M.; Huang, N.E.; Wang, S.; Qiao, F. url  doi
openurl 
  Title Using Holo-Hilbert spectral analysis to quantify the modulation of Dansgaard-Oeschger events by obliquity Type $loc['typeJournal Article']
  Year 2018 Publication Quaternary Science Reviews Abbreviated Journal Quaternary Science Reviews  
  Volume 192 Issue Pages 282-299  
  Keywords Pleistocene; Paleoclimatology; Greenland; Antarctica; Data treatment; Data analysis; Dansgaard-oeschger (DO) events; Obliquity forcing; Phase preference; Holo-hilbert spectral analysis; Amplitude modulation; EMPIRICAL MODE DECOMPOSITION; GREENLAND ICE-CORE; NONSTATIONARY TIME-SERIES; ABRUPT CLIMATE-CHANGE; LAST GLACIAL PERIOD; NORTH-ATLANTIC; MILLENNIAL-SCALE; RECORDS; VARIABILITY; CYCLE  
  Abstract Astronomical forcing (obliquity and precession) has been thought to modulate Dansgaard-Oeschger (DO) events, yet the detailed quantification of such modulations has not been examined. In this study, we apply the novel Holo-Hilbert Spectral Analysis (HHSA) to five polar ice core records, quantifying astronomical forcing's time-varying amplitude modulation of DO events and identifying the preferred obliquity phases for large amplitude modulations. The unique advantages of HHSA over the widely used windowed Fourier spectral analysis for quantifying astronomical forcing's nonlinear modulations of DO events is first demonstrated with a synthetic data that closely resembles DO events recorded in Greenland ice cores (NGRIP, GRIP, and GISP2 cores on GICC05 modelext timescale). The analysis of paleoclimatic proxies show that statistically significantly more frequent DO events, with larger amplitude modulation in the Greenland region, tend to occur in the decreasing phase of obliquity, especially from its mean value to its minimum value. In the eastern Antarctic, although statistically significantly more DO events tend to occur in the decreasing obliquity phase in general, the preferred phase of obliquity for large amplitude modulation on DO events is a segment of the increasing phase near the maximum obliquity, implying that the physical mechanisms of DO events may be different for the two polar regions. Additionally, by using cross-spectrum and magnitude-squared analyses, Greenland DO mode at a timescale of about 1400 years leads the Antarctic DO mode at the same timescale by about 1000 years. (C) 2018 Elsevier Ltd. All rights reserved.  
  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 0277-3791 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ user @ Serial 971  
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Author (up) Deremble, B.; Dewar, W.K.; Chassignet, E.P. url  doi
openurl 
  Title Vorticity dynamics near sharp topographic features Type $loc['typeJournal Article']
  Year 2016 Publication Journal of Marine Research Abbreviated Journal J Mar Res  
  Volume 74 Issue 6 Pages 249-276  
  Keywords vorticity conservation; point vortex; vortex sheet; singularities  
  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 0022-2402 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 231  
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Author (up) Devanas, A.; Stefanova, L. url  doi
openurl 
  Title Statistical Prediction Of Waterspout Probability For The Florida Keys Type $loc['typeJournal Article']
  Year 2018 Publication Weather and Forecasting Abbreviated Journal Wea. Forecasting  
  Volume 33 Issue Pages 389-410  
  Keywords Regression analysis; Forecast verification/skill; Forecasting techniques; Probability forecasts/models/distribution; Statistical forecasting  
  Abstract A statistical model of waterspout probability was developed for wet-season (June–September) days over the Florida Keys. An analysis was performed on over 200 separate variables derived from Key West 1200 UTC daily wet-season soundings during the period 2006–14. These variables were separated into two subsets: days on which a waterspout was reported anywhere in the Florida Keys coastal waters and days on which no waterspouts were reported. Days on which waterspouts were reported were determined from the National Weather Service (NWS) Key West local storm reports. The sounding at Key West was used for this analysis since it was assumed to be representative of the atmospheric environment over the area evaluated in this study. The probability of a waterspout report day was modeled using multiple logistic regression with selected predictors obtained from the sounding variables. The final model containing eight separate variables was validated using repeated fivefold cross validation, and its performance was compared to that of an existing waterspout index used as a benchmark. The performance of the model was further validated in forecast mode using an independent verification wet-season dataset from 2015–16 that was not used to define or train the model. The eight-predictor model was found to produce a probability forecast with robust skill relative to climatology and superior to the benchmark waterspout index in both the cross validation and in the independent verification.  
  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 0882-8156 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 553  
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Author (up) DiNapoli, S url  openurl
  Title Determining the Error Characteristics of H*WIND Type $loc['typeManuscript']
  Year 2010 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords Hurricane, Tropical Cyclones, Wind Analysis, Uncertainty  
  Abstract The HRD Real-time Hurricane Wind Analysis System (H*Wind) is a software application used by NOAA's Hurricane Research Division to create a gridded tropical cyclone wind analysis based on a wide range of observations. One application of H*Wind fields is calibration of scatterometers for high wind speed environments. Unfortunately, the accuracy of the H*Wind product has not been studied extensively, and therefore the accuracy of scatterometer calibrations in these environments is also unknown. This investigation seeks to determine the uncertainty in the H*Wind product and estimate the contributions of several potential error sources. These error sources include random observation errors, relative bias between different data types, temporal drift resulting from combining non-simultaneous measurements, and smoothing and interpolation errors in the H*Wind software. The effects of relative bias between different data types and random observation errors are determined by performing statistical calculations on the observed wind speeds. We show that in the absence of large biases, the total contribution of all error sources results in an uncertainty of approximately 7% near the storm center, which increases to nearly 15% near the tropical storm force wind radius. The H*Wind analysis algorithm is found to introduce a positive bias to the wind speeds near the storm center, where the analyzed wind speeds are enhanced to match the highest observations. In addition, spectral analyses are performed to ensure that the filter wavelength of the final analysis product matches user specifications. With increased knowledge of these error sources and their effects, researchers will have a better understanding of the uncertainty in the H*Wind product, and can then judge the suitability of H*Wind for various research applications  
  Address Department of Earth, Ocean, and Atmospheric Science  
  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 574  
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Author (up) DiNapoli, S.M.; Bourassa, M.A.; Powell, M.D. url  doi
openurl 
  Title Uncertainty and Intercalibration Analysis of H*Wind Type $loc['typeJournal Article']
  Year 2012 Publication Journal of Atmospheric and Oceanic Technology Abbreviated Journal J. Atmos. Oceanic Technol.  
  Volume 29 Issue 6 Pages 822-833  
  Keywords  
  Abstract  
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  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 0739-0572 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 249  
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