<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
<Esri>
<CreaDate>20190606</CreaDate>
<CreaTime>04515900</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>Exercise - Exercise - Exercise
Data layers, Analysis, Modeling represent the collective efforts of the 
geospatial community to provide data driven and science based content &amp;
analysis to inform planning efforts for exercise scenarios and emergency
management. 

The purpose of Shaken Fury 2019 (SF19) is to evaluate and improve the whole
community’s ability to establish and implement a coordinated strategy of rapid
response and recovery operations for the prioritization and application of accessible
resources and capabilities in response to a “no-notice” earthquake incident.
Utilizing a common scenario of a 7.7 magnitude earthquake off the Cottonwood
Grove Fault (Southwest Segment of the New Madrid Seismic Zone [NMSZ])
outside of Memphis, Tennessee, whole community partners will come together
from May 29 – June 7, 2019 to exercise response and recovery missions
throughout and beyond the NMSZ Region.Through a series of integrated tabletop, 
functional, and full-scale exercises, the states of Alabama, Arkansas, Kentucky, 
Mississippi, Missouri, and Tennessee will coordinate response and recovery 
activities with FEMA Regions IV, V, VI, and VII state, FEMA headquarters, U.S. 
Department of Energy, and Department of Defense (DOD).

Credits and much thanks GIS partner agencies:
USGS, DOE, CUSEC, FEMA Hazus HQ Team, FEMA Recovery GIS, DoD, 
FEMA HQ Response Geosaptial Office, DHS NCC/ESF2</idAbs>
<searchKeys>
<keyword>FEMA</keyword>
</searchKeys>
<idPurp>Recovery plus 60 days TTX: Data layers, Analysis, Modeling represent the collective efforts of the 
geospatial community to provide data driven and science based content &amp;
analysis to inform planning efforts for exercise scenarios.
</idPurp>
<idCredit>FEMA</idCredit>
<resConst>
<Consts>
<useLimit>Exercise purposes only</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>