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Jack Thigpen, NOAA NC Sea Grant Bob Bacon, NOAA SC Sea Grant Consortium

Jack Thigpen, NOAA NC Sea Grant Bob Bacon, NOAA SC Sea Grant Consortium Suzanne Van Cooten, NOAA National Sea Grant, Nation Severe Storms Laboratory. CI-FLOW.

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Jack Thigpen, NOAA NC Sea Grant Bob Bacon, NOAA SC Sea Grant Consortium

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  1. Jack Thigpen, NOAA NC Sea Grant Bob Bacon, NOAA SC Sea Grant Consortium Suzanne Van Cooten, NOAA National Sea Grant, Nation Severe Storms Laboratory

  2. CI-FLOW • CI-FLOW (the Coastal and Inland Flood Observation and Warning Project) is a multi-agency project to evaluate and test new technologies to produce accurate and timely identification of inland and coastal floods in the Tar-Pamlico and Neuse river basins of coastal North Carolina.

  3. PARTNERS North Carolina South Carolina Texas

  4. CI-FLOW was initiated in response to devastating human and economic losses caused by storm-surge and coastal flooding from Hurricanes Floyd and Dennis in 1999.

  5. PRECIPITATION • produce the most accurate automated multi-sensor Quantitative Precipitation Estimate (QPE) for the Tar River Basin every 5 minutes on a 1-km spatial scale • information gathered from the multiple radars, rain gauges, satellites, numerical weather models, and lightning detection networks • provide a continuous assessment of precipitation falling onto the watershed.

  6. HYDROLOGY • From the headwaters of the Tar River on the Piedmont plateau to the Pamlico Sound • streamflow simulation dependent on channel characteristics, soil type, the slope of the land, and vegetation patterns • to provide forecasters multiple solutions regarding timing and river discharge for multiple forecast points in the basin to simulate streamflow

  7. STORM SURGE/TIDES • incorporating storm surge and wind characteristics in coastal watershed streamflow predictions • storm surge models will be coupled with the ensemble of water quantity and quality models

  8. Precipitation – Hydrology – Tidal/Storm Surge

  9. Potential CI-FLOW Information • Extreme Events (storms) and long-term (climate change) • River levels • Flood • Drought • Water Quality • Salinity • Water intake • fisheries • Pollution • Municipal • Industrial • agricultural

  10. CI-FLOW passes test from Hanna Storm surge forecasts Rainfall estimates Tropical Storm Hanna tested the components of the CI-FLOW monitoring and prediction system when it made landfall in North Carolina in on September 6, 2008. CI-FLOW met expectations with high levels of correlation between the CI-FLOW model component estimates and traditionally measure rainfall and storm surge recordings.

  11. What’s Next?

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