Sentinel 1 - RGB Flood MapThe Alaska Satellite Facility developed a false color Red, Green, Blue (RGB) composite image of the Sentinel-1A/B Synthetic Aperture Radar (SAR) instrument which assigns the co- and cross-polarization information to a channel in the RGB composite. When used to support a flooding event, areas in blue denotes water present at the time of the satellite overpass before or after the start of the flooding event. Satellite: Synthetic Aperture Radar on European Space Agency's (ESA) Copernicus Sentinel 1 A/B satellite; 30 m resolutionCredits: Copernicus Sentinel data (2019), processed by ESA, Alaska Satellite Facility, and NASA Marshal Space Flight Center. Sentinel 1 - Water Extent MapThis product shows three areas: known reference water (blue), anomalous water identified outside the known reference water areas (red), and water detected in known wetlands or barren land (tan). This product can be used to perform a change analysis due to the flooding. \Satellite: Synthetic Aperture Radar on European Space Agency's (ESA) Copernicus Sentinel 1 A/B satellite; 30 m resolutionCredits: Copernicus Sentinel data (2019), processed by ESA, Alaska Satellite Facility, and NASA Marshal Space Flight Center. Landsat 8 Natural Color RGBAreas of water will appear blue, healthy green vegetation will appear as bright green, urban areas in various shades of magentas, clouds appear as white or bright blue, and bare soils being multicolor dependent on their makeup. Satellite:  Landsat 8 Operational Land Imager (OLI); 30m resolution.Credits: NASA/MSFC, USGS.Pacific Northwest National Laboratory has  developed a Rapid Infrastructure Flood Tool (RIFT) to produce predictive hydrodynamic flood modeling and simulations for a diversity of flood  events:extreme precipitationdam failurelevee failurespring snowmeltcoastal floodingtsunamiProduct:  90 m flood extent and depth grids (ft) usable in any geographic software.

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The Hazard Exposure Map indicates where highest community exposure to surge, wind, and riverine flooding is expected for Hurricane Florence. The model is based on best-available hazard data and CoreLogic residential parcels. Parcels are weighted by flood depth, wind speed, and social vulnerability. 20190914: Inputs: CoreLogic Parcels (Residential Only), NHC Probabilistic Surge (Adv 57), PNNL RIFT 20180913 Flood Extent, Hazus Advisory 57 Windfield Output. This is a Kernel Density Map of Parcels weighted by CDC's Social Vulnerability Index (SVI), Flood Depth (ft) and Wind Speed (mph).20180913: Inputs: CoreLogic Parcels (Residential Only), NHC Probabilistic Surge (Adv 54), PNNL RIFT 20180912 Flood Extent, Hazus Advisory 53 Windfield Output. This is a Kernel Density Map of Parcels weighted by CDC's Social Vulnerability Index (SVI), Flood Depth (ft) and Wind Speed (mph). 20180911: Inputs: CoreLogic Parcels (Residential Only), FEMA Region III & Region IV Composite MEOW Surge, PNNL RIFT 20180910 Flood Extent. This is a Kernel Density Map of Parcels weighted by CDC's Social Vulnerability Index (SVI) and Flood Depth (ft). **This Hazard Exposure Map does not incorporate any Wind data**

The Hazard Exposure Map indicates where highest community exposure to surge, wind, and riverine flooding is expected for Hurricane Florence. The model is based on best-available hazard data and CoreLogic residential parcels. Parcels are weighted by flood depth, wind speed, and social vulnerability.20181010: Inputs: CoreLogic Parcels (Residential Only), NHC Probabilistic Surge 10% , PNNL RIFT 20181008 Flood Extent, Hazus Advisory 11 Windfield Output. This is a Kernel Density Map of Parcels weighted by CDC's Social Vulnerability Index (SVI), Flood Depth (ft) and Wind Speed (mph).

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20180911: Comments: The 7-day qpf was used and its ppt distributed over a 24-hr period with a front-loaded distribution. p168m_2018091100f168.grb These were run for 10 day, however PeeDee and MidNorth HUCs ran for 7 and 8 days, respectively. These DO NOT include storm surge. Credit: Pacific Northwest National Laboratory National Risk Management Center, NPPD

These RIFT runs used 24 hrs of precipitation based on the 3rd day of 6-hr QPF data (p06m_2018100812f0??.grb) with a flat temporal distribution for each 6-hr increment. Runs were for 10 days for Ochlockonee and Suwannee HUC4s, the other two ran 5 days.90-m resolution for all but Ochlockonee (60-m resolution, Tallahassee basin), no infiltration, no storm surge. These are WGS84. Caveats:·        Simulation results are based on forecasted precipitation data and are subject to change·        6-hr QPF data were used with a flat temporal distribution for each 6-hr period.·        Soils are assumed saturated and subject to minimal infiltration·        Storm surge and tidal dynamics are not included. Flood extents in areas impacted by either should be used with caution.·        The peak flood depth product is a representation of the peak flood depth at every grid cell, regardless of when the peak occurred.·        90-m resolution elevation data was used for this simulation. Local-scale topographic effects          may not be captured in the simulation·        Where data is available, National Levee Database is incorporated into the simulation.          Accuracy of levee representation is subject to the accuracy of the NLDB.·        Simulation results are intended to be used to estimate potential infrastructure impacts.      Use of the data for any other purpose should be done with caution. These data are not intended to be      used for life-preserving purposes.·        Dam operations are not included in the simulation but may greatly impact downstream flooding.

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