3913726F-C3BB-432B-86CD-279A0B64A63F eng utf8 dataset Randy Comeleo, PhD USEPA Ecologist 541-754-4508 200 SW 35th St. Corvallis OR 97333 US Comeleo.Randy@epa.gov principalInvestigator Randy Comeleo USEPA (US EPA, CPHEA/PESD) Postdoctoral Research Fellow Corvallis OR 97370 US Comeleo.Randy@epa.gov pointOfContact 2024-03-15 NAP - Metadata 1.2 2 column 3095 392.769556 row 5511 392.769556 area true false -2355825.000000 1001264.999959 -2355825.000000 3165818.023579 -1140203.223897 3165818.023579 -1140203.223897 1001264.999959 -1748014.111948 2083541.511769 center 0 Modeled change in the average Feddema Moisture Index (multiplied by 1000) between 2000-2010 and the 1971-2000 Normal period. 2020-01-10 creation 2020-01-10 publication 2020-01-10 revision mapDigital Originators: US Environmental Protection Agency Publisher: US EPA Office of Research & 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 average Feddema Moisture Index between the timeperiod specified in the title relative to the 1971-2000 Normal period. 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 average Feddema Moisture Index between the timeperiod specified in the title relative to the 1971-2000 Normal period. Randy Comeleo, Randy Comeleo Randy Comeleo US EPA, CPHEA/PESD Postdoctoral researcher author Randy Comeleo USEPA (US EPA, CPHEA/PESD) Postdoctoral Research Fellow Corvallis OR 97370 US Comeleo.Randy@epa.gov publisher Arizona California Idaho Nevada Oregon Washington place EPA Place Names 2020-01-10 creation 2020-01-10 publication 2020-01-10 revision Randy Comeleo USEPA (US EPA, CPHEA/PESD) Postdoctoral Research Fellow Corvallis OR 97370 US Comeleo.Randy@epa.gov originator Randy Comeleo, PhD USEPA Ecologist 541-754-4508 200 SW 35th St. Corvallis OR 97333 US Comeleo.Randy@epa.gov principalInvestigator Climate Environment Ground Water Natural Resources Water theme EPA GIS Keyword Thesaurus 2007-11-02 publication 020:094 theme Federal Program Inventory 2013-09-16 publication Downloadable Data grid eng utf8 Version 6.2 (Build 9200) ; Esri ArcGIS 10.4.1.5686 true -127.854174 -108.071872 29.335308 50.664713 1971-01-01T00:00:00 2010-12-31T00:00:00 This raster contains the modeled change in the average Feddema Moisture Index (multiplied by 1000) over 1901-1910 relative to the 1971-2000 Normal period. image 10.23719 1504217 Band_1 768 -785 Unified Code of Units of Measure [arb'U] 32 false false false false false Raster Dataset ArcGIS 10.4.1