Transcript Gridded Observation Needs for Health Impacts Chris Uejio Florida State University, Centers for Disease Control and Prevention.

Gridded Observation Needs for
Health Impacts
Chris Uejio
Florida State University, Centers for Disease Control and Prevention
Extreme heat health survey
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70 municipalities
O’Neill et al. (2010)
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‘‘Regularly review weather forecast information for the
purpose of preparing for excessive heat events’’
36%
Most common heat response
“My health department has ample
expertise to assess public health
impacts associated with climate
change”
Disagree
Agree
Balbus et al. 2008
Over the next 20 years, climate change will
make the following
Extreme Heat
Air Pollution
Fresh Water
Drought
Storms, Floods
Vectorborne
Chris’s Anecdotes
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Drought
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Many studies use information from one weather station
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Public health difficulty working with gridded binary &
NetCDF data
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Not supported by SAS
Reluctance to use, trouble applying
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Weather types, ENSO
Atmospheric moisture
Survival
Reluctance, trouble atmospheric
moisture
Shaman & Kohn (2009)
National Environmental Public Health
Tracking Network
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Aggregates human health, weather, & vulnerability
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Web-based tool
http://ephtracking.cdc.gov/showHome.action
North American Land Data Assimilation System Forcing
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Aggregated to the county level
Various extreme heat metrics, precipitation
NLDAS-based maximum temperature (F)
Daily Comparison: Scatter plot by Climate
Region
Station-based maximum temperature (F)
Comparison for May – September 2006
Courtesy of Ambarish “Rish” Vaidyanathan, CDC Envt Health Tracking