<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="nb">
<Esri>
<CreaDate>20220608</CreaDate>
<CreaTime>13411100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">PCop_Maks_DV_33N.tif</itemName>
<itemLocation>
<linkage Sync="TRUE">file://\\nsv2-nasuni-01\prosjekt\O10240\10240464-01\10240464-01-03 ARBEIDSOMRAADE\10240464-01 RIVASS\10240464-01-05 MODELLER\Results\SAMLET\PCop_Maks_DV_33N.tif</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">262013.193504</westBL>
<eastBL Sync="TRUE">267566.193504</eastBL>
<southBL Sync="TRUE">6626512.586123</southBL>
<northBL Sync="TRUE">6639624.586123</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_ETRS_1989</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">ETRS_1989_UTM_Zone_33N</projcsn>
<peXml Sync="TRUE">&lt;ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.9.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;ETRS_1989_UTM_Zone_33N&amp;quot;,GEOGCS[&amp;quot;GCS_ETRS_1989&amp;quot;,DATUM[&amp;quot;D_ETRS_1989&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Transverse_Mercator&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,500000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,15.0],PARAMETER[&amp;quot;Scale_Factor&amp;quot;,0.9996],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,25833]]&lt;/WKT&gt;&lt;XOrigin&gt;-5120900&lt;/XOrigin&gt;&lt;YOrigin&gt;-9998100&lt;/YOrigin&gt;&lt;XYScale&gt;450445547.3910538&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;0.001&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;25833&lt;/WKID&gt;&lt;LatestWKID&gt;25833&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
<RasterProperties>
<General>
<PixelDepth Sync="TRUE">32</PixelDepth>
<HasColormap Sync="TRUE">FALSE</HasColormap>
<CompressionType Sync="TRUE">LZW</CompressionType>
<NumBands Sync="TRUE">1</NumBands>
<Format Sync="TRUE">TIFF</Format>
<HasPyramids Sync="TRUE">TRUE</HasPyramids>
<SourceType Sync="TRUE">continuous</SourceType>
<PixelType Sync="TRUE">floating point</PixelType>
<NoDataValue Sync="TRUE">-inf</NoDataValue>
</General>
</RasterProperties>
<lineage>
<Process Date="20220608" Time="134111" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Clip">Clip Pcop_Fmaks_ArcMAP.tif "599471.637734345 6620642.49111455 603885.158733054 6633399.78411094" "\\nsv2-nasuni-01\prosjekt\O10240\10240464-01\10240464-01-03 ARBEIDSOMRAADE\10240464-01 RIVASS\10240464-01-05 MODELLER\Results\SAMLET\PCop_Maks_DV.tif" Resultater_Samlet\Klippefil_Samlet -inf ClippingGeometry NO_MAINTAIN_EXTENT</Process>
<Process Date="20220608" Time="134602" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\ProjectRaster">ProjectRaster Resultater_Samlet\PCop\Maks_DxV\PCop_Maks_DV.tif "\\nsv2-nasuni-01\prosjekt\O10240\10240464-01\10240464-01-03 ARBEIDSOMRAADE\10240464-01 RIVASS\10240464-01-05 MODELLER\Results\SAMLET\PCop_Maks_DV_33N.tif" PROJCS["ETRS_1989_UTM_Zone_33N",GEOGCS["GCS_ETRS_1989",DATUM["D_ETRS_1989",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",15.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]] "Nearest neighbor" "1 1" # # PROJCS["ETRS_1989_UTM_Zone_32N",GEOGCS["GCS_ETRS_1989",DATUM["D_ETRS_1989",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",9.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]] NO_VERTICAL</Process>
</lineage>
</DataProperties>
<SyncDate>20220608</SyncDate>
<SyncTime>13460100</SyncTime>
<ModDate>20220608</ModDate>
<ModTime>13460100</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 19042) ; Esri ArcGIS 12.9.0.32739</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="nob"/>
<countryCode Sync="TRUE" value="NOR"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">PCop_Maks_DV_33N_1</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="002"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">10.753685</westBL>
<eastBL Sync="TRUE">10.867022</eastBL>
<northBL Sync="TRUE">59.828813</northBL>
<southBL Sync="TRUE">59.708240</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idAbs/>
<searchKeys>
<keyword>Pcop_maksDV</keyword>
</searchKeys>
<idPurp>Maksimal flux ved København-regnet</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="nob"/>
<countryCode Sync="TRUE" value="NOR"/>
</mdLang>
<mdChar>
<CharSetCd Sync="TRUE" value="004"/>
</mdChar>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Raster Dataset</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="25833"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">4.3(4.0.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<Georect>
<cellGeo>
<CellGeoCd Sync="TRUE" value="002"/>
</cellGeo>
<numDims Sync="TRUE">2</numDims>
<tranParaAv Sync="TRUE">1</tranParaAv>
<chkPtAv Sync="TRUE">0</chkPtAv>
<cornerPts>
<pos Sync="TRUE">262013.193504 6626512.586123</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">262013.193504 6639624.586123</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">267566.193504 6639624.586123</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">267566.193504 6626512.586123</pos>
</cornerPts>
<centerPt>
<pos Sync="TRUE">264789.693504 6633068.586123</pos>
</centerPt>
<axisDimension type="002">
<dimSize Sync="TRUE">5553</dimSize>
<dimResol>
<value Sync="TRUE" uom="m">1.000000</value>
</dimResol>
</axisDimension>
<axisDimension type="001">
<dimSize Sync="TRUE">13112</dimSize>
<dimResol>
<value Sync="TRUE" uom="m">1.000000</value>
</dimResol>
</axisDimension>
<ptInPixel>
<PixOrientCd Sync="TRUE" value="001"/>
</ptInPixel>
</Georect>
</spatRepInfo>
<contInfo>
<ImgDesc>
<contentTyp>
<ContentTypCd Sync="TRUE" value="001"/>
</contentTyp>
<covDim>
<Band>
<dimDescrp Sync="TRUE">Band_1</dimDescrp>
<maxVal Sync="TRUE">152881.062500</maxVal>
<minVal Sync="TRUE">0.000000</minVal>
<bitsPerVal Sync="TRUE">32</bitsPerVal>
<valUnit>
<UOM type="length"/>
</valUnit>
</Band>
</covDim>
</ImgDesc>
</contInfo>
<mdDateSt Sync="TRUE">20220608</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
