<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20180608</CreaDate>
<CreaTime>16510700</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>Dynamic Series of layers from Hurricane Matthew in Central Virginia Beach, VA, Driven by Dr. Loftis at VIMS' (W&amp;M) Street Level Hydrodynamic Model from 00:00-23:00 UTC on 10/9/2016. Model used spatially-varying rainfall inputs supplied by 21 rain gauges (12 of HRSD's and 9 from the City of Virginia Beach's), spatially varying soil infiltration defined by 1m resolution land cover data and 6 USGS groundwater wells similar to Loftis et al.'s publication in the Journal of Coastal Research (2016), and tidal (Dirichlet) open boundary conditions provided by 3 USGS tide gauges near the edges of the domain's extent.</idAbs>
<searchKeys>
<keyword>flood</keyword>
</searchKeys>
<idPurp>Dynamic Series of layers from Hurricane Matthew in Central Virginia Beach, VA, Driven by Dr. Loftis at VIMS' (W&amp;M) Street Level Hydrodynamic Model from 00:00-23:00 UTC on 10/9/2016.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>VBMatthew_inun_thick_20161009T120000</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
