<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20260112</CreaDate>
        <CreaTime>12050100</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>FALSE</SyncOnce>
        <DataProperties>
            <itemProps>
                <itemName Sync="TRUE">SPEI_summwithin</itemName>
                <imsContentType Sync="TRUE">002</imsContentType>
            </itemProps>
            <coordRef>
                <type Sync="TRUE">Geographic</type>
                <geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
                <csUnits Sync="TRUE">Angular Unit: Degree (0.017453)</csUnits>
                <peXml Sync="TRUE">&lt;GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' 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/3.3.0'&gt;&lt;WKT&gt;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],AUTHORITY[&amp;quot;EPSG&amp;quot;,4326]]&lt;/WKT&gt;&lt;XOrigin&gt;-400&lt;/XOrigin&gt;&lt;YOrigin&gt;-400&lt;/YOrigin&gt;&lt;XYScale&gt;11258999068426.238&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;8.983152841195215e-09&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;LeftLongitude&gt;-180&lt;/LeftLongitude&gt;&lt;WKID&gt;4326&lt;/WKID&gt;&lt;LatestWKID&gt;4326&lt;/LatestWKID&gt;&lt;/GeographicCoordinateSystem&gt;</peXml>
            </coordRef>
        </DataProperties>
        <SyncDate>20260112</SyncDate>
        <SyncTime>10331600</SyncTime>
        <ModDate>20260112</ModDate>
        <ModTime>10331600</ModTime>
    </Esri>
    <dataIdInfo>
        <envirDesc Sync="FALSE">Esri ArcGIS 13.3.0.52636</envirDesc>
        <dataLang>
            <languageCode Sync="TRUE" value="eng"/>
            <countryCode Sync="TRUE" value="USA"/>
        </dataLang>
        <idCitation>
            <resTitle Sync="TRUE">SPEI_summwithin</resTitle>
            <presForm>
                <PresFormCd Sync="TRUE" value="005"/>
            </presForm>
        </idCitation>
        <spatRpType>
            <SpatRepTypCd Sync="TRUE" value="001"/>
        </spatRpType>
        <idAbs>&lt;p&gt;&lt;strong&gt;Overview&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;This feature layer presents a global gridded summary of historical drought conditions (1895-2025) derived from the Standardized Precipitation Evapotranspiration Index (SPEI). It is designed to support popup-driven exploration of drought frequency and severity across multiple accumulation periods.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Layer Content&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;The layer contains polygon grid features with attributes that summarize drought metrics for several SPEI time windows, including short-, medium-, and long-term durations. The data includes mean values for drought measures at 1, 2, 3, 6, 12, 24, 36, 48, 60, and 72 month intervals, along with a point count reference and geometry measurements for each grid cell.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Geographic Coverage&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;The service covers a near-global extent and supports analysis across wide geographic regions using the WGS 84 coordinate system.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Source and Attribution&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;Data attribution is provided to the U.S. Environmental Protection Agency and NOAA’s National Integrated Drought Information System. Raw monthly data can be found &lt;a target='_blank' href='https://www.drought.gov/data-maps-tools/us-gridded-standardized-precipitation-index-spei-nclimgrid-monthly' rel='nofollow ugc noopener noreferrer'&gt;here&lt;/a&gt;.&amp;nbsp;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Use Cases&lt;/strong&gt;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;Exploring historical drought frequency and duration patterns&lt;/li&gt;&lt;li&gt;Supporting environmental monitoring and drought preparedness&lt;/li&gt;&lt;li&gt;Comparing drought conditions across multiple time scales&lt;/li&gt;&lt;li&gt;Using as an overlay with related drought visualization layers in web maps and GIS applications&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;strong&gt;License&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;U.S. public domain data with a disclaimer provided by the U.S. Environmental Protection Agency.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Point of Contact:&lt;/strong&gt;&amp;nbsp;Geneva Gray, (gray.geneva@epa.gov)&lt;/p&gt;&lt;p&gt;NOTE: Summary, description, and tags began as AI content drafts and are human-reviewed before publishing.&lt;/p&gt;</idAbs>
        <idPurp>Global gridded drought frequency (1895-2025) layer based on the Standardized Precipitation Evapotranspiration Index (SPEI), with summary measures across multiple time windows for exploring drought severity and duration.</idPurp>
        <idCredit>U.S. Environmental Protection Agency, and NOAA's National Intergrated Drought Information System</idCredit>
        <resConst>
            <Consts>
                <useLimit>&lt;p&gt;Unless otherwise specified, all data produced by the U.S EPA is by default in the public domain and is not subject to domestic copyright protection under 17 U.S.C. &lt;span style='font-family:&amp;quot;Leelawadee UI&amp;quot;,sans-serif;'&gt;ยง&lt;/span&gt; 105. More details on the U.S. Public Domain license are available &lt;a target='_blank' href='https://www.usa.gov/government-copyright' rel='nofollow ugc noopener noreferrer'&gt;here&lt;/a&gt;. &amp;nbsp;Additionally, please be advised that although these data have been processed successfully on a computer system at the U.S. EPA, no warranty expressed or implied is made regarding the accuracy or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. It is also strongly recommended that careful attention be paid to the contents of the metadata file associated with these data to evaluate data set limitations, restrictions or intended use. The U.S. EPA shall not be held liable for improper or incorrect use of the data.&lt;/p&gt;</useLimit>
            </Consts>
        </resConst>
    <searchKeys><keyword>drought</keyword><keyword>historical drought</keyword><keyword>SPEI</keyword><keyword>dryness</keyword><keyword>arid conditions</keyword><keyword>precipitation evapotranspiration</keyword><keyword>weather</keyword></searchKeys></dataIdInfo>
    <mdLang>
        <languageCode Sync="TRUE" value="eng"/>
        <countryCode Sync="TRUE" value="USA"/>
    </mdLang>
    <distInfo>
        <distFormat>
            <formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
        </distFormat>
    </distInfo>
    <mdHrLv>
        <ScopeCd Sync="TRUE" value="005"/>
    </mdHrLv>
    <mdHrLvName Sync="TRUE">dataset</mdHrLvName>
    <refSysInfo>
        <RefSystem>
            <refSysID>
                <identCode Sync="TRUE" code="4326"/>
                <idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
                <idVersion Sync="TRUE">6.2(3.0.1)</idVersion>
            </refSysID>
        </RefSystem>
    </refSysInfo>
    <spatRepInfo>
        <VectSpatRep>
            <geometObjs Name="SPEI_summwithin">
                <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="SPEI_summwithin">
                <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="SPEI_summwithin">
            <enttyp>
                <enttypl Sync="TRUE">SPEI_summwithin</enttypl>
                <enttypt Sync="TRUE">Feature Class</enttypt>
                <enttypc Sync="TRUE">0</enttypc>
            </enttyp>
            <attr>
                <attrlabl Sync="TRUE">OBJECTID</attrlabl>
                <attalias Sync="TRUE">OBJECTID</attalias>
                <attrtype Sync="TRUE">OID</attrtype>
                <attwidth Sync="TRUE">4</attwidth>
                <atprecis Sync="TRUE">0</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">0</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">Id</attrlabl>
                <attalias Sync="TRUE">Id</attalias>
                <attrtype Sync="TRUE">Integer</attrtype>
                <attwidth Sync="TRUE">4</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">gridcode</attrlabl>
                <attalias Sync="TRUE">gridcode</attalias>
                <attrtype Sync="TRUE">Integer</attrtype>
                <attwidth Sync="TRUE">4</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">Shape_Length</attrlabl>
                <attalias Sync="TRUE">Shape_Length</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">8</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef Sync="TRUE">Length of feature in internal units.</attrdef>
                <attrdefs Sync="TRUE">Esri</attrdefs>
                <attrdomv>
                    <udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">Shape_Area</attrlabl>
                <attalias Sync="TRUE">Shape_Area</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">8</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef Sync="TRUE">Area of feature in internal units squared.</attrdef>
                <attrdefs Sync="TRUE">Esri</attrdefs>
                <attrdomv>
                    <udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
                </attrdomv>
            </attr>
        </detailed>
    </eainfo>
    <mdDateSt Sync="TRUE">20260112</mdDateSt>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
        </Thumbnail>
    </Binary>
</metadata>