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The CI-FLOW Project: A System for Total Water Level Prediction from the Summit to the Sea

Suzanne Van CootenNOAA/NSSL, Norman, Oklahoma

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Kevin E. KelleherNOAA/NSSL, Norman, Oklahoma

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Kenneth HowardNOAA/NSSL, Norman, Oklahoma

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Jian ZhangNOAA/NSSL, Norman, Oklahoma

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Jonathan J. GourleyNOAA/NSSL, Norman, Oklahoma

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John S. KainNOAA/NSSL, Norman, Oklahoma

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Kodi Nemunaitis-MonroeCooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, and NOAA/NSSL, Norman, Oklahoma

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Zac FlamigCooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, and NOAA/NSSL, Norman, Oklahoma

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Heather MoserCooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, and NOAA/NSSL, Norman, Oklahoma

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Ami ArthurCooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, and NOAA/NSSL, Norman, Oklahoma

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Carrie LangstonCooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, and NOAA/NSSL, Norman, Oklahoma

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Randall KolarSchool of Civil Engineering and Environmental Science, University of Oklahoma, Norman, Oklahoma

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Yang HongSchool of Civil Engineering and Environmental Science, University of Oklahoma, Norman, Oklahoma

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Kendra DresbackSchool of Civil Engineering and Environmental Science, University of Oklahoma, Norman, Oklahoma

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Evan TrombleSchool of Civil Engineering and Environmental Science, University of Oklahoma, Norman, Oklahoma

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Humberto VergaraSchool of Civil Engineering and Environmental Science, University of Oklahoma, Norman, Oklahoma

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Richard A Luettich Jr.Institute of Marine Sciences, University of North Carolina at Chapel Hill, Morehead City, North Carolina

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Brian BlantonRENCI, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina

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Howard LanderRENCI, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina

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Ken GalluppiRENCI, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina

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Jessica Proud LosegoRENCI, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina

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Cheryl Ann BlainOceanography Division, Naval Research Laboratory, Stennis Space Center, Mississippi

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Jack ThigpenNorth Carolina Sea Grant, Raleigh, North Carolina

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Katie MosherNorth Carolina Sea Grant, Raleigh, North Carolina

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Darin FigurskeyNOAA/NWS Forecast Office, Raleigh, North Carolina

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Michael MoneypennyNOAA/NWS Forecast Office, Raleigh, North Carolina

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Jonathan BlaesNOAA/NWS Forecast Office, Raleigh, North Carolina

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Jeff OrrockNOAA/NWS Forecast Office, Raleigh, North Carolina

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Rich BandyNOAA/NWS Forecast Office, Newport, North Carolina

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Carin GoodallNOAA/NWS Forecast Office, Newport, North Carolina

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John G. W. KelleyNOAA/NOS/Coast Survey Development Laboratory, Silver Spring, Maryland

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Jason GreenlawNOAA/NOS/Coast Survey Development Laboratory, Silver Spring, Maryland

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Micah WengrenNOAA/NOS/Coast Survey Development Laboratory, Silver Spring, Maryland

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Dave EslingerNOAA/CSC, Charleston, South Carolina

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Jeff PayneNOAA/CSC, Charleston, South Carolina

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Geno OlmiNOAA/CSC, Charleston, South Carolina

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John FeldtNOAA/NWS Southeast River Forecast Center, Peachtree City, Georgia

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John SchmidtNOAA/NWS Southeast River Forecast Center, Peachtree City, Georgia

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Todd HamillNOAA/NWS Southeast River Forecast Center, Peachtree City, Georgia

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Robert BaconSouth Carolina Sea Grant, Charleston, South Carolina

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Robert StickneyTexas Sea Grant, College Station, Texas

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Lundie SpenceCenters for Ocean Sciences Education Excellence—Southeast, Charleston, South Carolina

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The objective of the Coastal and Inland Flooding Observation and Warning (CI-FLOW) project is to prototype new hydrometeorologic techniques to address a critical NOAA service gap: routine total water level predictions for tidally influenced watersheds. Since February 2000, the project has focused on developing a coupled modeling system to accurately account for water at all locations in a coastal watershed by exchanging data between atmospheric, hydrologic, and hydrodynamic models. These simulations account for the quantity of water associated with waves, tides, storm surge, rivers, and rainfall, including interactions at the tidal/surge interface.

Within this project, CI-FLOW addresses the following goals: i) apply advanced weather and oceanographic monitoring and prediction techniques to the coastal environment; ii) prototype an automated hydrometeorologic data collection and prediction system; iii) facilitate interdisciplinary and multiorganizational collaborations; and iv) enhance techniques and technologies that improve actionable hydrologic/hydrodynamic information to reduce the impacts of coastal flooding. Results are presented for Hurricane Isabel (2003), Hurricane Earl (2010), and Tropical Storm Nicole (2010) for the Tar–Pamlico and Neuse River basins of North Carolina. This area was chosen, in part, because of the tremendous damage inflicted by Hurricanes Dennis and Floyd (1999). The vision is to transition CI-FLOW research findings and technologies to other U.S. coastal watersheds.

A supplement to this meeting summary is available online: DOI:10.1175/2011BAMS3150.2

The objective of the Coastal and Inland Flooding Observation and Warning (CI-FLOW) project is to prototype new hydrometeorologic techniques to address a critical NOAA service gap: routine total water level predictions for tidally influenced watersheds. Since February 2000, the project has focused on developing a coupled modeling system to accurately account for water at all locations in a coastal watershed by exchanging data between atmospheric, hydrologic, and hydrodynamic models. These simulations account for the quantity of water associated with waves, tides, storm surge, rivers, and rainfall, including interactions at the tidal/surge interface.

Within this project, CI-FLOW addresses the following goals: i) apply advanced weather and oceanographic monitoring and prediction techniques to the coastal environment; ii) prototype an automated hydrometeorologic data collection and prediction system; iii) facilitate interdisciplinary and multiorganizational collaborations; and iv) enhance techniques and technologies that improve actionable hydrologic/hydrodynamic information to reduce the impacts of coastal flooding. Results are presented for Hurricane Isabel (2003), Hurricane Earl (2010), and Tropical Storm Nicole (2010) for the Tar–Pamlico and Neuse River basins of North Carolina. This area was chosen, in part, because of the tremendous damage inflicted by Hurricanes Dennis and Floyd (1999). The vision is to transition CI-FLOW research findings and technologies to other U.S. coastal watersheds.

A supplement to this meeting summary is available online: DOI:10.1175/2011BAMS3150.2

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