<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20230914</CreaDate>
<CreaTime>16380100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>2050 Annual Average Maximum Temperature CalAdapt</resTitle>
</idCitation>
<idAbs/>
<idCredit/>
<searchKeys>
<keyword>Cal-Adapt</keyword>
<keyword>Maximum Temperature</keyword>
<keyword>2050</keyword>
<keyword>Climate</keyword>
</searchKeys>
<idPurp>Cal-Adapt annual average maximum temperature model showing degrees fahrenheit under an RCP 8.5 scenario for 2050</idPurp>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
