| Records |
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 |
$loc['typeJournal Article'] |
| Year |
2016 |
Publication |
International Journal of Environmental Research and Public Health |
Abbreviated Journal |
Int J Environ Res Public Health |
| Volume |
13 |
Issue |
8 |
Pages |
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| Keywords |
*Climate Change/statistics & numerical data; Florida; Forecasting; Humans; Models, Theoretical; Public Health/*trends; United States; adaptation; attributable fraction; climate modeling; project disease burden; public health |
| Abstract |
There is interest among agencies and public health practitioners in the United States (USA) to estimate the future burden of climate-related health outcomes. Calculating disease burden projections can be especially daunting, given the complexities of climate modeling and the multiple pathways by which climate influences public health. Interdisciplinary coordination between public health practitioners and climate scientists is necessary for scientifically derived estimates. We describe a unique partnership of state and regional climate scientists and public health practitioners assembled by the Florida Building Resilience Against Climate Effects (BRACE) program. We provide a background on climate modeling and projections that has been developed specifically for public health practitioners, describe methodologies for combining climate and health data to project disease burden, and demonstrate three examples of this process used in Florida. |
| Address |
Department of Geography, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3220, USA. konrad@unc.edu |
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English |
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1660-4601 |
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PMID:27517942; PMCID:PMC4997490 |
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$loc['no'] |
| Call Number |
COAPS @ mfield @ |
Serial |
73 |
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Hong, S.-Y.; Park, H.; Cheong, H.-B.; Kim, J.-E.E.; Koo, M.-S.; Jang, J.; Ham, S.; Hwang, S.-O.; Park, B.-K.; Chang, E.-C.; Li, H. |
| Title |
The Global/Regional Integrated Model system (GRIMs) |
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$loc['typeJournal Article'] |
| Year |
2013 |
Publication |
Asia-Pacific Journal of Atmospheric Sciences |
Abbreviated Journal |
Asia-Pacific J Atmos Sci |
| Volume |
49 |
Issue |
2 |
Pages |
219-243 |
| Keywords |
Numerical weather prediction; seasonal prediction; general circulation model; regional climate modeling; physics; parameterization; climate modeling; GRIMs; WRF |
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1976-7633 |
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COAPS @ mfield @ |
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215 |
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Roads, J. |
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International Research Institute/Applied Research Centers (IRI/ARCs) regional model intercomparison over South America |
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$loc['typeJournal Article'] |
| Year |
2003 |
Publication |
Journal of Geophysical Research |
Abbreviated Journal |
J. Geophys. Res. |
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108 |
Issue |
D14 |
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Regional climate modeling; Brazil; South America |
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0148-0227 |
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COAPS @ mfield @ |
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843 |
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| Author |
Selman, C.; Misra, V. |
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The impact of an extreme case of irrigation on the southeastern United States climate |
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$loc['typeJournal Article'] |
| Year |
2017 |
Publication |
Climate Dynamics |
Abbreviated Journal |
Clim Dyn |
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48 |
Issue |
3-4 |
Pages |
1309-1327 |
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Regional climate modeling; Irrigation; Diurnal climatology; Diurnal; Southeast United States; Southeast US; Regional model; Agriculture; Anthropogenic influences; Anthropogenic; Climate; Climate change; Regional; Impact; Southeast; Model; Parametrization |
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0930-7575 |
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COAPS @ mfield @ |
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22 |
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| Author |
Selman, C.; Misra, V. |
| Title |
Simulating diurnal variations over the southeastern United States |
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$loc['typeJournal Article'] |
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2015 |
Publication |
Journal of Geophysical Research: Atmospheres |
Abbreviated Journal |
J. Geophys. Res. Atmos. |
| Volume |
120 |
Issue |
1 |
Pages |
180-198 |
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diurnal variations; southeast; precipitation; temperature; downscaling; regional climate modeling |
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2169897X |
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COAPS @ mfield @ |
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120 |
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