20171114 14410000 1.0 TRUE FEMA MOTF produced high resolution Hurricane Sandy depth grids and flood extents for the States of New Jersey, New York, and Connecticut. These surge flooding depth/area estimates were produced by FEMA MOTF using preliminary field observation data collected by USGS through November 11 (FEMA-USGS Mission Assignment for pre-landfall Storm Surge Sensors/Rapid Deployment Gages and post-landfall High Water Mark collections). These files represent our current best estimate of storm surge flood inundation from Hurricane Sandy for NJ, NY, and CT as of 11/11/2012. Water surface elevation products were created from field‐verified High Water Marks (HWMs) and Storm Surge Sensor data from the USGS through 11‐November 2012. HWMs and Surge Sensor data are used to interpolate a water surface elevation. TS Sandy Surge FEMA Modeling Task Force Analysis for TS Sandy includes high resolution surge and water surface elevation. FEMA, CT DEEP TS Sandy Surge Analysis 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