Skip to main content
Skip to main content

COAPS Virtual Library (Publications)

Search within Results:
Display Options:

Select All    Deselect All
 |   | 
Details
   print
  Records Links
Author Bastola, S.; Misra, V. url  doi
openurl 
  Title Seasonal hydrological and nutrient loading forecasts for watersheds over the Southeastern United States Type $loc['typeJournal Article']
  Year 2015 Publication Environmental Modelling & Software Abbreviated Journal Environmental Modelling & Software  
  Volume 73 Issue Pages 90-102  
  Keywords Rainfall-runoff model; Seasonal hydrologic forecasting; Southeastern United States; Water quality; Seasonal predictability  
  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 1364-8152 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 95  
Permanent link to this record
 

 
Author Conlon, K.C.; Kintziger, K.W.; Jagger, M.; Stefanova, L.; Uejio, C.K.; Konrad, C. url  doi
openurl 
  Title Working with Climate Projections to Estimate Disease Burden: Perspectives from Public Health Type $loc['typeJournal Article']
  Year 2016 Publication International Journal of Environmental Research and Public Health Abbreviated Journal Int J Environ Res Public Health  
  Volume 13 Issue 8 Pages  
  Keywords *Climate Change/statistics & numerical data; Florida; Forecasting; Humans; Models, Theoretical; Public Health/*trends; United States; adaptation; attributable fraction; climate modeling; project disease burden; public health  
  Abstract There is interest among agencies and public health practitioners in the United States (USA) to estimate the future burden of climate-related health outcomes. Calculating disease burden projections can be especially daunting, given the complexities of climate modeling and the multiple pathways by which climate influences public health. Interdisciplinary coordination between public health practitioners and climate scientists is necessary for scientifically derived estimates. We describe a unique partnership of state and regional climate scientists and public health practitioners assembled by the Florida Building Resilience Against Climate Effects (BRACE) program. We provide a background on climate modeling and projections that has been developed specifically for public health practitioners, describe methodologies for combining climate and health data to project disease burden, and demonstrate three examples of this process used in Florida.  
  Address Department of Geography, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3220, USA. konrad@unc.edu  
  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 1660-4601 ISBN Medium  
  Area Expedition Conference  
  Funding PMID:27517942; PMCID:PMC4997490 Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 73  
Permanent link to this record
 

 
Author 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  
Permanent link to this record
 

 
Author Keclik, A. url  openurl
  Title The Accuracy of the National Hurricane Center's United States Tropical Cyclone Landfall Forecasts in the Atlantic Basin (2004-2012) Type $loc['typeManuscript']
  Year 2014 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords hurricane; forecasting; landfall  
  Abstract  
  Address Department of Earth, Ocean, and Atmospheric Science  
  Corporate Author Thesis $loc['Bachelor'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 163  
Permanent link to this record
 

 
Author Michael, J.-P. url  openurl
  Title On Initializing CGCMs for Seasonal Predictability of ENSO Type $loc['typeManuscript']
  Year 2014 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords ENSO; Seasonal Forecasting  
  Abstract  
  Address Department of Earth, Ocean and Atmospheric Science  
  Corporate Author Thesis $loc['Ph.D. 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 166  
Permanent link to this record
 

 
Author Nielsen, E.R.; Schumacher, R.S.; Keclik, A.M. url  doi
openurl 
  Title The Effect of the Balcones Escarpment on Three Cases of Extreme Precipitation in Central Texas Type $loc['typeJournal Article']
  Year 2016 Publication Monthly Weather Review Abbreviated Journal Mon. Wea. Rev.  
  Volume 144 Issue 1 Pages 119-138  
  Keywords Circulation/ Dynamics; Orographic effects; Atm/Ocean Structure/ Phenomena; Flood events; Physical Meteorology and Climatology; Hydrometeorology; Forecasting; Ensembles; Numerical weather prediction/forecasting  
  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 0027-0644 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 102  
Permanent link to this record
 

 
Author Shin, D.W. url  doi
openurl 
  Title Short- to medium-range superensemble precipitation forecasts using satellite products: 1. Deterministic forecasting Type $loc['typeJournal Article']
  Year 2003 Publication Journal of Geophysical Research Abbreviated Journal J. Geophys. Res.  
  Volume 108 Issue D8 Pages  
  Keywords precipitation forecasting; superensemble; TRMM; ensemble forecasting  
  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 0148-0227 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 845  
Permanent link to this record
 

 
Author Shin, D.W. url  doi
openurl 
  Title Short- to medium-range superensemble precipitation forecasts using satellite products: 2. Probabilistic forecasting Type $loc['typeJournal Article']
  Year 2003 Publication Journal of Geophysical Research Abbreviated Journal J. Geophys. Res.  
  Volume 108 Issue D8 Pages  
  Keywords precipitation forecasting; superensemble; TRMM; POP; ensemble forecasting  
  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 0148-0227 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 846  
Permanent link to this record
 

 
Author Yatagai, A.; Krishnamurti, T.N.; Kumar, V.; Mishra, A.K.; Simon, A. url  doi
openurl 
  Title Use of APHRODITE Rain Gauge-Based Precipitation and TRMM 3B43 Products for Improving Asian Monsoon Seasonal Precipitation Forecasts by the Superensemble Method Type $loc['typeJournal Article']
  Year 2014 Publication Journal of Climate Abbreviated Journal J. Climate  
  Volume 27 Issue 3 Pages 1062-1069  
  Keywords Monsoons; Precipitation; Databases; Superensembles; Climate prediction; Statistical forecasting  
  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 0894-8755 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 171  
Permanent link to this record
Select All    Deselect All
 |   | 
Details
   print

Save Citations:
Export Records:

2000 Levy Avenue
Building A, Suite 292
Tallahassee, FL 32306-2741
Phone: (850) 644-4581
Fax: (850) 644-4841
contact@coaps.fsu.edu

© 2021 Center for Ocean-Atmospheric Prediction Studies (COAPS), Florida State University

Center for Ocean-Atmospheric Prediction Studies (COAPS)