<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20240603</CreaDate>
<CreaTime>12111000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISstyle>FGDC CSDGM Metadata</ArcGISstyle>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20240416" Time="143845" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CreateFishnet">CreateFishnet C:\Users\sejones\Documents\NASA_Fishnet.gdb\NASA_WGS84_Fishnet "-180 17.75" "-180 27.75" 0.25 0.25 51 106 # LABELS ensemble_historical_htix_fall.tif POLYGON</Process>
<Process Date="20240422" Time="060411" ToolSource="c:\program files (x86)\arcgis\desktop10.7\ArcToolbox\Toolboxes\Analysis Tools.tbx\SpatialJoin">SpatialJoin BlankMesh_WGS84 HI_MeanTemp_Fahrenheit_Fall M:\Data\nasa_nex_gddp_cmip6\SJones_Shapefiles\LoadedMeshes.gdb\HI_Mean_Temp_Fahrenheit_Fall JOIN_ONE_TO_ONE KEEP_ALL "Shape_Length "Shape_Length" false true true 8 Double 0 0 ,First,#,BlankMesh_WGS84,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0 ,First,#,BlankMesh_WGS84,Shape_Area,-1,-1;hist "hist" true true false 4 Float 0 0 ,First,#,HI_MeanTemp_Fahrenheit_Fall,hist,-1,-1;ssp245_mid "ssp245_mid" true true false 4 Float 0 0 ,First,#,HI_MeanTemp_Fahrenheit_Fall,ssp245_mid,-1,-1;ssp245_end "ssp245_end" true true false 4 Float 0 0 ,First,#,HI_MeanTemp_Fahrenheit_Fall,ssp245_end,-1,-1;ssp585_mid "ssp585_mid" true true false 4 Float 0 0 ,First,#,HI_MeanTemp_Fahrenheit_Fall,ssp585_mid,-1,-1;ssp585_end "ssp585_end" true true false 4 Float 0 0 ,First,#,HI_MeanTemp_Fahrenheit_Fall,ssp585_end,-1,-1;m245_hist "m245_hist" true true false 4 Float 0 0 ,First,#,HI_MeanTemp_Fahrenheit_Fall,m245_hist,-1,-1;e245_hist "e245_hist" true true false 4 Float 0 0 ,First,#,HI_MeanTemp_Fahrenheit_Fall,e245_hist,-1,-1;m585_hist "m585_hist" true true false 4 Float 0 0 ,First,#,HI_MeanTemp_Fahrenheit_Fall,m585_hist,-1,-1;e585_hist "e585_hist" true true false 4 Float 0 0 ,First,#,HI_MeanTemp_Fahrenheit_Fall,e585_hist,-1,-1;m585_m245 "m585_m245" true true false 4 Float 0 0 ,First,#,HI_MeanTemp_Fahrenheit_Fall,m585_m245,-1,-1;e585_e245 "e585_e245" true true false 4 Float 0 0 ,First,#,HI_MeanTemp_Fahrenheit_Fall,e585_e245,-1,-1" INTERSECT # #</Process>
<Process Date="20240429" Time="202908" ToolSource="c:\program files (x86)\arcgis\desktop10.7\ArcToolbox\Toolboxes\Data Management Tools.tbx\CopyFeatures">CopyFeatures M:\Data\nasa_nex_gddp_cmip6\SJones_Shapefiles\LoadedMeshes.gdb\HI_Mean_Temp_Fahrenheit_Fall M:\Data\nasa_nex_gddp_cmip6\SJones_Shapefiles\Shapefiles_WebMercator\HI_Mean_Temp_Fahrenheit_Fall.shp # 0 0 0</Process>
<Process Date="20240531" Name="Clip" Time="140701" ToolSource="c:\program files (x86)\arcgis\desktop10.7\ArcToolbox\Toolboxes\Analysis Tools.tbx\Clip">Clip J:\Climate_Center_2024\Hawaii\Symbology\Shapefiles_WebMercator\HI_Mean_Temp_Fahrenheit_Fall.shp J:\Climate_Center_2024\Hawaii\Symbology\Coastline_WebMercator.shp J:\Climate_Center_2024\Hawaii\Symbology\Shapefiles_Clipped\HI_Mean_Temp_Fahrenheit_Fall_clip.shp #</Process>
<Process Date="20240603" Time="121142" ToolSource="c:\program files (x86)\arcgis\desktop10.7\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField HI_MeanTemp_Fahrenheit_CombinedSeasons Season "Fall" VB #</Process>
<Process Date="20240603" Time="121247" ToolSource="c:\program files (x86)\arcgis\desktop10.7\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField HI_MeanTemp_Fahrenheit_CombinedSeasons Season "Spring" VB #</Process>
<Process Date="20240603" Time="121440" ToolSource="c:\program files (x86)\arcgis\desktop10.7\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField HI_MeanTemp_Fahrenheit_CombinedSeasons Season "Summer" VB #</Process>
<Process Date="20240603" Time="121609" ToolSource="c:\program files (x86)\arcgis\desktop10.7\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField HI_MeanTemp_Fahrenheit_CombinedSeasons Season "Winter" VB #</Process>
<Process Date="20240613" Time="082930" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CopyFeatures">CopyFeatures HI_MeanTemp_Fahrenheit_CombinedSeasons "Database Connections\CCRDS.sde\CCRDS.UCCRDS.HI_MeanTemp_Fahrenheit_CombinedSeasons" # 0 0 0</Process>
</lineage>
<itemProps>
<itemLocation>
<linkage Sync="TRUE">Server=disgissql1.gss.anl.gov; Service=sde:sqlserver:disgissql1.gss.anl.gov; Database=CCRDS; User=uCCRDS; Version=dbo.DEFAULT</linkage>
<protocol Sync="TRUE">ArcSDE Connection</protocol>
</itemLocation>
<itemName Sync="TRUE">CCRDS.UCCRDS.HI_MeanTemp_Fahrenheit_CombinedSeasons</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<itemSize Sync="TRUE">0.000</itemSize>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<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/10.8'&gt;&lt;WKT&gt;PROJCS[&amp;quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&amp;quot;,GEOGCS[&amp;quot;GCS_WGS_1984&amp;quot;,DATUM[&amp;quot;D_WGS_1984&amp;quot;,SPHEROID[&amp;quot;WGS_1984&amp;quot;,6378137.0,298.257223563]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Mercator_Auxiliary_Sphere&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,0.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,0.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,0.0],PARAMETER[&amp;quot;Auxiliary_Sphere_Type&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,3857]]&lt;/WKT&gt;&lt;XOrigin&gt;-20037700&lt;/XOrigin&gt;&lt;YOrigin&gt;-30241100&lt;/YOrigin&gt;&lt;XYScale&gt;10000&lt;/XYScale&gt;&lt;ZOrigin&gt;0&lt;/ZOrigin&gt;&lt;ZScale&gt;1&lt;/ZScale&gt;&lt;MOrigin&gt;0&lt;/MOrigin&gt;&lt;MScale&gt;1&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;102100&lt;/WKID&gt;&lt;LatestWKID&gt;3857&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
<projcsn Sync="TRUE">WGS_1984_Web_Mercator_Auxiliary_Sphere</projcsn>
</coordRef>
</DataProperties>
<SyncDate>20240613</SyncDate>
<SyncTime>08292900</SyncTime>
<ModDate>20240613</ModDate>
<ModTime>08292900</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE"> Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">HI_MeanTemp_Fahrenheit_Spring_Mid_SSP585</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<idAbs/>
<searchKeys>
<keyword>Hawaii</keyword>
</searchKeys>
<idPurp>HI_MeanTemp_Fahrenheit_Spring_Mid_SSP585</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">SDE Feature Class</formatName>
</distFormat>
<distTranOps>
<transSize Sync="TRUE">0.000</transSize>
</distTranOps>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="3857"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">8.8(9.3.1.2)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="CCRDS.UCCRDS.HI_MeanTemp_Fahrenheit_CombinedSeasons">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="CCRDS.UCCRDS.HI_MeanTemp_Fahrenheit_CombinedSeasons">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<eainfo>
<detailed Name="CCRDS.UCCRDS.HI_MeanTemp_Fahrenheit_CombinedSeasons">
<enttyp>
<enttypl Sync="TRUE">CCRDS.UCCRDS.HI_MeanTemp_Fahrenheit_CombinedSeasons</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">FID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">hist</attrlabl>
<attalias Sync="TRUE">hist</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">ssp245_mid</attrlabl>
<attalias Sync="TRUE">ssp245_mid</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">ssp245_end</attrlabl>
<attalias Sync="TRUE">ssp245_end</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">ssp585_mid</attrlabl>
<attalias Sync="TRUE">ssp585_mid</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">ssp585_end</attrlabl>
<attalias Sync="TRUE">ssp585_end</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">m245_hist</attrlabl>
<attalias Sync="TRUE">m245_hist</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">e245_hist</attrlabl>
<attalias Sync="TRUE">e245_hist</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">m585_hist</attrlabl>
<attalias Sync="TRUE">m585_hist</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">e585_hist</attrlabl>
<attalias Sync="TRUE">e585_hist</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">m585_m245</attrlabl>
<attalias Sync="TRUE">m585_m245</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">e585_e245</attrlabl>
<attalias Sync="TRUE">e585_e245</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Season</attrlabl>
<attalias Sync="TRUE">Season</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">10</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Leng</attrlabl>
<attalias Sync="TRUE">Shape_Leng</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape.STArea()</attrlabl>
<attalias Sync="TRUE">Shape.STArea()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape.STLength()</attrlabl>
<attalias Sync="TRUE">Shape.STLength()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20240613</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
