<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20201215</CreaDate>
<CreaTime>10101400</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>Gage Gap is a tool for identifying areas of the state that need improved stream monitoring systems. Stream gages provide essential information about one of California's most precious resources — water. Gages that are actively reporting and well-maintained help the state properly allocate water resources for people and nature, adapt to climate change, and anticipate potential flooding. Gaps in the stream gage network make it much more difficult to ensure that both people and nature are getting water when and where they need it. This tool highlights the major gage gaps and ways to fill them. </idAbs>
<searchKeys>
<keyword>Gage gap</keyword>
<keyword>TNC</keyword>
<keyword>California</keyword>
<keyword>Stream gage</keyword>
</searchKeys>
<idPurp>The Nature Conservancy (TNC) Gage Gap II analysis. </idPurp>
<idCredit>The Nature Conservancy (TNC), California Data Exchange Center (CDEC), United States Geological Survey (USGS), National Streamflow Information Program (NSIP), National Water Information System (NWIS), National Oceanic and Atmospheric Administration (NOAA), Los Angeles County Department of Public Works (LADPW) </idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>GageGapII_Streams</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
