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J.: A revised Thornthwaite-type global climate classification, Phys. Geogr., 26(6), 442–466, doi:10.2747/0272-3646.26.6.442, 2005</enttypds></enttyp><attr xmlns=""><attrlabl Sync="TRUE">OID</attrlabl><attalias Sync="TRUE">OID</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><attrdomv><edom xmlns=""><edomv>OID</edomv><edomvd>Feature number</edomvd><edomvds>arbitrary</edomvds></edom></attrdomv></attr><attr xmlns=""><attrlabl Sync="TRUE">Value</attrlabl><attalias Sync="TRUE">Value</attalias><attrtype Sync="TRUE">Integer</attrtype><attwidth Sync="TRUE">10</attwidth><atprecis Sync="TRUE">10</atprecis><attscale Sync="TRUE">0</attscale><attrdef>This raster contains the modeled change in the seasonality of the month of maximum surplus precipitation between the target time period and the 1971-2000 Normal period (1 = same season, 0 = earlier season, 2 = later season).</attrdef><attrdefs>Wigington Jr., P. J., Leibowitz, S. G., Comeleo, R. L. and Ebersole, J. L.: Oregon hydrologic landscapes: A classification framework, J. Am. Water Resour. Assoc., 49(1), 163–182, doi:10.1111/jawr.12009, 2013.</attrdefs><attrdomv><edom xmlns=""><edomv>1000 to -1000</edomv><edomvd>Difference in Feddema Moisture Index</edomvd><edomvds>Feddema, J. J.: A revised Thornthwaite-type global climate classification, Phys. Geogr., 26(6), 442–466, doi:10.2747/0272-3646.26.6.442, 2005</edomvds></edom></attrdomv></attr><attr xmlns=""><attrlabl Sync="TRUE">Count</attrlabl><attalias Sync="TRUE">Count</attalias><attrtype Sync="TRUE">Double</attrtype><attwidth Sync="TRUE">19</attwidth><atprecis Sync="TRUE">0</atprecis><attscale Sync="TRUE">0</attscale><attrdef>Difference in Feddema Moisture Index multiplied by 1000</attrdef><attrdefs>Feddema, J. J.: A revised Thornthwaite-type global climate classification, Phys. 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Geogr., 26(6), 442–466, doi:10.2747/0272-3646.26.6.442, 2005</enttypds></enttyp></detailed></eainfo><mdFileID>CA5A697C-BB5E-4EB0-ABB5-465205EF0ACE</mdFileID><mdLang><languageCode value="eng"/><countryCode value="USA" Sync="TRUE"/></mdLang><mdChar><CharSetCd value="004"/></mdChar><mdHrLv><ScopeCd value="005"/></mdHrLv><mdContact><rpIndName>Randy Comeleo</rpIndName><rpOrgName>US EPA (US EPA, CPHEA/PESD)</rpOrgName><rpPosName>US EPA, CPHEA/PESD Postdoctoral Researcher</rpPosName><rpCntInfo><cntPhone><voiceNum>815-456-4173</voiceNum></cntPhone><cntAddress><city>Philomath</city><adminArea>Oregon</adminArea><postCode>97370</postCode><eMailAdd>Comeleo.Randy@epa.gov</eMailAdd></cntAddress></rpCntInfo><role><RoleCd value="007"/></role></mdContact><mdDateSt Sync="FALSE">2020-04-01</mdDateSt><mdStanName>ArcGIS Metadata</mdStanName><mdStanVer>1.0</mdStanVer><distInfo xmlns=""><distributor xmlns=""><distorCont><rpIndName>Randy Comeleo</rpIndName><rpOrgName>US EPA (US EPA, CPHEA/PESD)</rpOrgName><rpPosName>US EPA, CPHEA/PESD Postdoctoral Researcher</rpPosName><rpCntInfo><cntPhone><voiceNum>815-456-4173</voiceNum></cntPhone><cntAddress><city>Philomath</city><adminArea>Oregon</adminArea><postCode>97370</postCode><eMailAdd>Comeleo.Randy@epa.gov</eMailAdd></cntAddress></rpCntInfo><role><RoleCd value="007"/></role></distorCont></distributor><distFormat xmlns=""><formatName Sync="TRUE">Raster Dataset</formatName><formatVer>ArcGIS 10.4.1</formatVer></distFormat><distTranOps xmlns=""><transSize>34.357</transSize></distTranOps></distInfo><dataIdInfo><idCitation xmlns=""><resTitle Sync="FALSE">Modeled change in the Seasonality between the modeled 2041-2070 (CanESM2 r5i1p1) and the 1971-2000 Normal period</resTitle><date><createDate>2020-01-02T00:00:00</createDate><pubDate>2020-01-13T00:00:00</pubDate><reviseDate>2020-01-13T00:00:00</reviseDate></date><resEdDate>20200113</resEdDate><citRespParty xmlns=""><rpIndName>Randy Comeleo</rpIndName><rpOrgName>US EPA, CPHEA/PESD</rpOrgName><rpPosName>Ecologist</rpPosName><rpCntInfo><cntPhone><voiceNum>541.754.4508</voiceNum></cntPhone><cntAddress><city>Corvallis</city><adminArea>Oregon</adminArea><postCode>97333</postCode><country>US</country><eMailAdd>Comeleo.Randy@epa.gov</eMailAdd></cntAddress></rpCntInfo><role><RoleCd value="008"/></role></citRespParty><citRespParty xmlns=""><rpIndName>Randy Comeleo</rpIndName><rpOrgName>US EPA (US EPA, CPHEA/PESD)</rpOrgName><rpPosName>US EPA, CPHEA/PESD Postdoctoral Researcher</rpPosName><rpCntInfo><cntPhone><voiceNum>815-456-4173</voiceNum></cntPhone><cntAddress><city>Philomath</city><adminArea>Oregon</adminArea><postCode>97370</postCode><eMailAdd>Comeleo.Randy@epa.gov</eMailAdd></cntAddress></rpCntInfo><role><RoleCd value="007"/></role></citRespParty><citRespParty xmlns=""><rpIndName>Randy Comeleo</rpIndName><rpOrgName>US EPA, CPHEA/PESD</rpOrgName><rpPosName>Ecologist</rpPosName><rpCntInfo><cntPhone><voiceNum>541.754.4508</voiceNum></cntPhone><cntAddress><city>Corvallis</city><adminArea>Oregon</adminArea><postCode>97333</postCode><country>US</country><eMailAdd>Comeleo.Randy@epa.gov</eMailAdd></cntAddress></rpCntInfo><role><RoleCd value="006"/></role></citRespParty><presForm xmlns=""><PresFormCd value="005"/></presForm></idCitation><idAbs>Originators: US Environmental Protection Agency Publisher: US EPA Office of Research &amp; Development (ORD) - National Health and Environmental Effects Research Laboratory (NHEERL) Publication place: Corvallis, OR Publication date: Time Period of Data: 1900-2010; Projected data for 2041-2070. Data location: GeoPlatform ("https://www.geoplatform.gov/") and EPA Environmental Dataset Gateway (https://edg.epa.gov/). Abstract: We apply the hydrologic landscapes (HL) concept to assess the hydrologic vulnerability of the western United States (U.S.) to projected climate conditions. Our goal is to understand the potential impacts for stakeholder-defined interests across large geographic areas. The basic assumption of the HL approach is that catchments that share similar physical and climatic characteristics are expected to have similar hydrologic characteristics. We map climate vulnerability by integrating the HL approach into a retrospective analysis of historical data to assess variability in future climate projections and hydrology, which includes temperature, precipitation, potential evapotranspiration, snow accumulation, climatic moisture, surplus water, and seasonality of water surplus. Projections that are not within two-standard deviations of the historical decadal average contribute to the vulnerability index for each metric. The resulting vulnerability maps show that temperature and potential evapotranspiration are consistently projected to have high vulnerability indices for the western U.S. Precipitation vulnerability is not as spatially-uniform as temperature. The highest elevation areas with snow are projected to experience significant changes in snow accumulation. The seasonality vulnerability map shows that specific mountainous areas in the West are most prone to changes in seasonality, whereas many transitional terrains are moderately susceptible. This paper illustrates how the HL approach can help assess climatic and hydrologic vulnerability across large spatial scales. By combining the HL concept and climate vulnerability analyses, we provide a planning approach that could allow resource managers to consider how future climate conditions may impact important economic and conservation resources. Purpose: These data were created in support of the US EPA’s ACE CIVA 2.3, Task Project (QAPP: E-WED-0030854). However, these climate data and hydrologic landscape summaries should have broad applicability for hydrological, geomorphic, or ecological modeling, management, and restoration.  This raster contains the modeled change in the seasonality of the month of maximum surplus precipitation between the target modeled time period (in title) and the 1971-2000 Normal period (1 = same season, 0 = earlier season, 2 = later season).</idAbs><idPurp>We apply the hydrologic landscapes (HL) concept to assess the hydrologic vulnerability of the western United States (U.S.) to projected climate conditions. Our goal is to understand the potential impacts for stakeholder-defined interests across large geographic areas. The basic assumption of the HL approach is that catchments that share similar physical and climatic characteristics are expected to have similar hydrologic characteristics. We map climate vulnerability by integrating the HL approach into a retrospective analysis of historical data to assess variability in future climate projections and hydrology, which includes temperature, precipitation, potential evapotranspiration, snow accumulation, climatic moisture, surplus water, and seasonality of water surplus. This raster contains the modeled change in the seasonality of the month of maximum surplus precipitation between the target modeled time period (in title) and the 1971-2000 Normal period (1 = same season, 0 = earlier season, 2 = later season).</idPurp><idCredit>Randy Comeleo, Randy Comeleo</idCredit><idPoC xmlns=""><rpIndName>Randy Comeleo</rpIndName><rpOrgName>US EPA, CPHEA/PESD</rpOrgName><rpPosName>Ecologist</rpPosName><rpCntInfo xmlns=""><cntPhone><voiceNum tddtty="">541.754.4508</voiceNum></cntPhone><cntAddress addressType=""><city>Corvallis</city><adminArea>Oregon</adminArea><postCode>97333</postCode><country>US</country><eMailAdd>Comeleo.Randy@epa.gov</eMailAdd></cntAddress></rpCntInfo><role><RoleCd value="008"/></role></idPoC><idPoC xmlns=""><rpIndName>Randy Comeleo</rpIndName><rpOrgName>US EPA, CPHEA/PESD</rpOrgName><rpPosName>Ecologist</rpPosName><rpCntInfo xmlns=""><cntPhone><voiceNum tddtty="">541.754.4508</voiceNum></cntPhone><cntAddress 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St.</delPoint><city>Corvallis</city><adminArea>OR</adminArea><postCode>97333</postCode><eMailAdd>Comeleo.Randy@epa.gov</eMailAdd></cntAddress></rpCntInfo><role><RoleCd value="010"/></role></idPoC><idPoC xmlns=""><rpIndName>Randy Comeleo</rpIndName><rpOrgName>US EPA</rpOrgName><rpPosName>Research Scientist</rpPosName><role><RoleCd value="008"/></role></idPoC><idPoC xmlns=""><rpIndName>Randy Comeleo</rpIndName><rpOrgName>US EPA</rpOrgName><rpPosName>Research Scientist</rpPosName><role><RoleCd value="008"/></role></idPoC><idPoC xmlns=""><rpIndName>Randy Comeleo</rpIndName><rpOrgName>US EPA, CPHEA/PESD</rpOrgName><rpPosName>Ecologist</rpPosName><rpCntInfo xmlns=""><cntPhone><voiceNum tddtty="">541.754.4508</voiceNum></cntPhone><cntAddress addressType=""><city>Corvallis</city><adminArea>Oregon</adminArea><postCode>97333</postCode><country>US</country><eMailAdd>Comeleo.Randy@epa.gov</eMailAdd></cntAddress></rpCntInfo><role><RoleCd value="008"/></role></idPoC><idPoC xmlns=""><rpIndName>Randy 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value="eng"/><countryCode value="US"/></thesaLang><keyword>United States</keyword></placeKeys><tempKeys><keyword>1900 -2010; 2041-2070</keyword></tempKeys><themeKeys xmlns=""><thesaName xmlns=""><resTitle>EPA GIS Keyword Thesaurus</resTitle><date><pubDate>2007-11-02T00:00:00</pubDate></date><citOnlineRes xmlns=""><linkage>https://www.epa.gov/geospatial/epa-metadata-technical-specification</linkage><orFunct><OnFunctCd value="002"/></orFunct><orName>EPA Metadata Technical Specification</orName></citOnlineRes></thesaName><keyword>Climate</keyword><keyword>Environment</keyword><keyword>Water</keyword></themeKeys><themeKeys xmlns=""><thesaName xmlns=""><resTitle>Federal Program Inventory</resTitle><date><pubDate>2013-09-16T00:00:00</pubDate></date><citOnlineRes xmlns=""><linkage>https://www.performance.gov/federalprograminventory</linkage><orFunct><OnFunctCd value="002"/></orFunct><orName>Federal Program Inventory</orName></citOnlineRes></thesaName><keyword>020:094</keyword></themeKeys><spatRpType><SpatRepTypCd value="001"/></spatRpType><dataLang><languageCode value="eng"/><countryCode value="USA" Sync="TRUE"/></dataLang><dataChar><CharSetCd value="004"/></dataChar><envirDesc Sync="TRUE"> Version 6.2 (Build 9200) ; Esri ArcGIS 10.4.1.5686</envirDesc><dataExt xmlns=""><geoEle xmlns=""><GeoBndBox><exTypeCode>true</exTypeCode><westBL>-127.850214</westBL><eastBL>-108.080515</eastBL><southBL>29.391649</southBL><northBL>50.656502</northBL></GeoBndBox></geoEle><exDesc>Continental U.S.</exDesc><tempEle><TempExtent><exTemp><TM_Period xmlns=""><tmBegin>1971-01-01T00:00:00</tmBegin><tmEnd>2010-12-31T00:00:00</tmEnd></TM_Period></exTemp></TempExtent></tempEle></dataExt><dataExt xmlns=""><geoEle xmlns=""><GeoBndBox esriExtentType="search"><exTypeCode Sync="TRUE">1</exTypeCode><westBL Sync="TRUE">-127.854174</westBL><eastBL Sync="TRUE">-108.071872</eastBL><northBL 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climate</resTitle><date><createDate>2020-01-02T00:00:00</createDate><pubDate>2020-01-13T00:00:00</pubDate><reviseDate>2020-01-13T00:00:00</reviseDate></date></srcCitatn><srcExt><exDesc>Temporal extent ranges from January of 1900 to December of 2070</exDesc><tempEle><TempExtent><exTemp><TM_Period gmlID="ID0EBJBI"><tmBegin>2012-01-01T00:00:00</tmBegin><tmEnd>2020-07-01T00:00:00</tmEnd></TM_Period></exTemp></TempExtent></tempEle></srcExt></dataSource><prcStep xmlns=""><stepDesc>Datasource: USEPA based upon output of Hydrologic Landscape Data analyses See paper for methods: Jones, C.E. et al. 2020 (submitted). 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