Records |
Author  |
Cammarano, D.; Basso, B.; Stefanova, L.; Grace, P. |
Title |
Adapting wheat sowing dates to projected climate change in the Australian subtropics: analysis of crop water use and yield |
Type |
$loc['typeJournal Article'] |
Year |
2012 |
Publication |
Crop and Pasture Science |
Abbreviated Journal |
Crop Pasture Sci. |
Volume |
63 |
Issue |
10 |
Pages |
974 |
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Series Issue |
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Edition |
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ISSN |
1836-0947 |
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Approved |
$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
257 |
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Author  |
Cammarano, D.; Stefanova, L.; Ortiz, B.V.; Ramirez-Rodrigues, M.; Asseng, S.; Misra, V.; Wilkerson, G.; Basso, B.; Jones, J.W.; Boote, K.J.; DiNapoli, S. |
Title |
Evaluating the fidelity of downscaled climate data on simulated wheat and maize production in the southeastern US |
Type |
$loc['typeJournal Article'] |
Year |
2013 |
Publication |
Regional Environmental Change |
Abbreviated Journal |
Reg Environ Change |
Volume |
13 |
Issue |
S1 |
Pages |
101-110 |
Keywords |
Crop simulation models; Climate variability; Global circulation models; Reanalysis; Wheat; Maize |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
1436-3798 |
ISBN |
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Medium |
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Approved |
$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
187 |
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Author  |
Cammarano, D.; Zierden, D.; Stefanova, L.; Asseng, S.; O'Brien, J.J.; Jones, J.W. |
Title |
Using historical climate observations to understand future climate change crop yield impacts in the Southeastern US |
Type |
$loc['typeJournal Article'] |
Year |
2016 |
Publication |
Climatic Change |
Abbreviated Journal |
Climatic Change |
Volume |
134 |
Issue |
1-2 |
Pages |
311-326 |
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Edition |
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ISSN |
0165-0009 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
32 |
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Author  |
Conlon, K.C.; Kintziger, K.W.; Jagger, M.; Stefanova, L.; Uejio, C.K.; Konrad, C. |
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 |
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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 |
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Language |
English |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
1660-4601 |
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Funding |
PMID:27517942; PMCID:PMC4997490 |
Approved |
$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
73 |
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Author  |
Devanas, A.; Stefanova, L. |
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 |
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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. |
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Edition |
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ISSN |
0882-8156 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
553 |
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Author  |
Krishnamurti, T.N.; Stefanova, L.; , Misra, V. |
Title |
Tropical Meteorology: An Introduction |
Type |
$loc['typeBook Whole'] |
Year |
2013 |
Publication |
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Volume |
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Issue |
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Publisher |
Springer |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
218 |
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Author  |
LaRow, T.E.; Stefanova, L.; Shin, D.-W.; Cocke, S. |
Title |
Seasonal Atlantic tropical cyclone hindcasting/forecasting using two sea surface temperature datasets |
Type |
$loc['typeJournal Article'] |
Year |
2010 |
Publication |
Geophysical Research Letters |
Abbreviated Journal |
Geophys. Res. Lett. |
Volume |
37 |
Issue |
2 |
Pages |
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ISSN |
0094-8276 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
352 |
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Author  |
Lim, Y.-K.; Stefanova, L.B.; Chan, S.C.; Schubert, S.D.; O'Brien, J.J. |
Title |
High-resolution subtropical summer precipitation derived from dynamical downscaling of the NCEP/DOE reanalysis: how much small-scale information is added by a regional model? |
Type |
$loc['typeJournal Article'] |
Year |
2011 |
Publication |
Climate Dynamics |
Abbreviated Journal |
Clim Dyn |
Volume |
37 |
Issue |
5-6 |
Pages |
1061-1080 |
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Edition |
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ISSN |
0930-7575 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
292 |
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Author  |
Mirhosseini, G.; Srivastava, P.; Stefanova, L. |
Title |
The impact of climate change on rainfall Intensity-Duration-Frequency (IDF) curves in Alabama |
Type |
$loc['typeJournal Article'] |
Year |
2013 |
Publication |
Regional Environmental Change |
Abbreviated Journal |
Reg Environ Change |
Volume |
13 |
Issue |
S1 |
Pages |
25-33 |
Keywords |
Climate change; Intensity–Duration–Frequency (IDF) curve; Temporal downscaling; General Circulation Models (GCMs) |
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Edition |
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ISSN |
1436-3798 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
221 |
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Author  |
Misra, V.; Moeller, L.; Stefanova, L.; Chan, S.; O'Brien, J.J.; Smith III, T.J.; Plant, N. |
Title |
The influence of the Atlantic Warm Pool on the Florida panhandle sea breeze: FLORIDA SEA BREEZE VARIATIONS |
Type |
$loc['typeJournal Article'] |
Year |
2011 |
Publication |
Journal of Geophysical Research: Atmospheres |
Abbreviated Journal |
J. Geophys. Res. |
Volume |
116 |
Issue |
D21 |
Pages |
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Edition |
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ISSN |
0148-0227 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
296 |
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