Climate and Water Resources in South Carolina: Science for - - PowerPoint PPT Presentation
Climate and Water Resources in South Carolina: Science for Decision-Making 18 April 2013 Dan Tufford, Ph.D. University of South Carolina tufford@sc.edu Science for Decision-Making The job of a scientist is to make sure that information
18 April 2013 Dan Tufford, Ph.D. University of South Carolina tufford@sc.edu
“The job of a scientist is to make sure that information is provided clearly and appropriately, so people can make a better decision.”
Mark Jacobson Professor, Civil and Environmental Engineering Stanford University
addressing policy and management questions
issues
seek to address the issues
Assessments (RISA) program
stakeholders across the Carolinas
accessible climate information for decision making
restoration activities
and climate modeling, coastal climate, health, and adaptation.
Lake Marion Sparkleberry Cut, Oct 2007 (www.dnr.sc.gov)
– Impact of variability
– Impact of extreme events, e.g.
– Sea level rise
– Domestic water supply – Wildlife habitat – Reservoir management – Adaptation / mitigation – Water related regulations, e.g.
– Land use change
– Global climate anomalies
– Long-term climate change – Sea level rise – Water supply – Public health – Habitat management
– Sea surface temperature
– Cool, neutral, warm phases – Short to medium duration – Global effects on weather
– Sea surface temperature
– Cool and warm phases – 20 – 40 years duration
– Precipitation and streamflow
– Seasonal variability – Subregional variability
– Greater during warm ENSO
– Greater at coast during cool ENSO
– Greater in Piedmont during cool ENSO
– Whole basin – HUC 8 – Local watershed
PRISM2 model
Source: Conrads et al (2013)
1981 – 2010
2041 – 2070
14 year simulation
Additional projects
– Watershed scale streamflow simulation - HSPF – Floodplain hydraulics model - TUFLOW – Ecosystem impacts
– Derived as for Winyah Bay models
Floodplain habitat in Congaree National Park
Google Maps, 2012
Surface water salinity intrusion NC TN SC
Prec Tmax Tmin JANUARY JULY
2000 4000 6000 8000 10000 12000 14000
LtPeeDee_his LtPeeDee_fut LwYadkin_his LwYadkin_fut SFork_hist SFork_fut Waccamaw_his Waccamaw_fut Lynches_his Lynches_fut Black_his Black_fut
10000 20000 30000 40000 50000 LBroad_hist LBroad_fut
2000 4000 6000 8000 10000 12000 14000
LtPeeDee_his LtPeeDee_fut LwYadkin_his LwYadkin_fut SFork_hist SFork_fut Waccamaw_his Waccamaw_fut Lynches_his Lynches_fut Blac_his Black_fut
10000 20000 30000 40000 50000
LBroad_hist LBroad_fut
JANUARY JULY Prec Tmax Tmin
2000 4000 6000 8000 10000 12000 14000
LtPeeDee_his LtPeeDee_fut LwYadkin_his LwYadkin_fut SFork_hist SFork_fut Waccamaw_his Waccamaw_fut Lynches_his Lynches_fut Blac_his Black_fut
5000 10000 15000 20000 25000 30000 35000 40000
LBroad_hist LBroad_fut
5000 10000 15000 20000 25000 30000 35000 40000
LBroad_hist LBroad_fut
2000 4000 6000 8000 10000 12000 14000
LtPeeDee_his LtPeeDee_fut LwYadkin_his LwYadkin_fut SFork_hist SFork_fut Waccamaw_his Waccamaw_fut Lynches_his Lynches_fut Blac_his Black_fut
Rhee, J., G. J. Carbone, and J. Hussey. 2008. Drought index mapping at different spatial units. Journal of Hydrometeorology DOI: 10.1175/2008JHM983.1.