<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20211202</CreaDate>
<CreaTime>15444300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs>30-year (1991-2020, Version M4, released in December 2022) seasonal average precipitation data created by the PRISM Climate Group, collected for USDA-NRCS National Water and Climate Center by the Geography Department at Portland State University. SQ1: Dec, Jan, Feb; SQ2: Mar, Apr, May; SQ3: Jun, Jul, Aug; SQ4: Sep, Oct, Nov.</idAbs>
<searchKeys>
<keyword>PRISM</keyword>
<keyword>Precipitation</keyword>
<keyword>BAGIS</keyword>
</searchKeys>
<idPurp>30-year (1991-2020, Version M4, released in December 2022) seasonal average precipitation data created by the PRISM Climate Group, collected for USDA-NRCS National Water and Climate Center by the Geography Department at Portland State University.</idPurp>
<idCredit>Geography, Portland State University</idCredit>
<resConst>
<Consts>
<useLimit>Public for BAGIS Users</useLimit>
</Consts>
</resConst>
<idCitation>
<resTitle>Prism_Precipitation_sq3</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
