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Location Folder Show Tree ROOT _ScienceBase Catalog __National and Regional Climate Adaptation Science Centers ___North Central CASC ____FY 2014 Projects Continued Capacity Building in the North-Central U.S.: Tribal Engagement and PhenoCam Analysis Ecological Drought Across the Country Foundational Science Area: Assessing Climate Change Impacts to Wildlife and Habitats in the North Central U.S. Foundational Science Area: Developing Climate Change Understanding and Resources for Adaptation in the North Central U.S. Foundational Science Area: Helping People and Nature Adapt to Climate Change in the North Central U.S. Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Raster (11) NetCDF OPeNDAP Service (2) Shapefile (1) Types Downloadable (12) Map Service (12) GeoTIFF (11) Raster (11) NetCDF OPeNDAP Service (2) More... Contacts Imtiaz Rangwala Montana State University Andrew Hansen Candida F. Dewes Andrew J. Hansen More... Categories Web Site (1) Tag Types Theme (21) theme (2) Science Themes (24) Landscapes (13) Organization (22) Drought, Fire and Extreme Weather (9) Place (1) More... Tag Schemes https://www.sciencebase.gov/vocab/category/NCCWSC/ScienceThemes (24) https://www.sciencebase.gov/vocab/category/NCCWSC/Landscapes (13) https://www.sciencebase.gov/vocab/category/NCCWSC/Project/OrganizationName (24) Badland (2) CF-1.0 (1) https://www.sciencebase.gov/vocab/category/NCCWSC/DroughtFireandExtremeWeather (9) Combine GWE shapefile (1) More... View Results as: JSON ATOM CSV Browse Folder

PhenoCam Observations This capacity-building activity supported three tribal college and university (TCU) mini-­grants to initiate student phenological and meteorological observation projects in support of climate change research, to document impacts of climate change and development of indigenous geography curriculum. Students made observations of culturally and/or traditionally significant plants to generate data sets for use in climate change impact assessment of these plants and plant communities. The activity contributed to the larger national efforts of the Smithsonian National Museum of the American Indian’s “Indigenous Geography” curricula, by engaging with students at tribal colleges to explore the linkage between the “seasonality”... Categories: Data; Tags: Data Visualization & Tools, Indigenous Peoples, North Central CASC, Science Tools For Managers, Tribes and Tribal Organizations Historical Thornthwaite Moisture Index (MI) under IPSL-CM5A-MR GCM across North Central U.S. (1980-2005). Historical and projected climate data and water balance data under three GCMs (CNRM-CM5, CCSM4, and IPSL-CM5A-MR) from 1980 to 2099 was used to assess projected climate change impacts in North Central U.S. We obtained required data from MACA data (https://climate.northwestknowledge.net/MACA/). Historical time period ranges from 1980 to 2005, and projected time period ranges from 2071 to 2099. The climate data includes temperature and precipitation whereas water balance data includes Potential Evapotranspiration (PET) and Moisture Index (MI) estimated using Penman-Monteith and Thornthwaite methods defining as Penman PET, Penman MI, Thornthwaite PET and Thornthwaite MI. Both types of MI was estimated as a ratio of... Categories: Data; Tags: Grasslands and Plains, Landscapes, MACA, Moisture Index, North Central CASC, All tags... Other Landscapes, Precipitation, Thornthwaite PET, biota, Fewer tags Projected Thornthwaite Moisture Index (MI) under IPSL-CM5A-MR GCM across North Central U.S. (2071-2099) Historical and projected climate data and water balance data under three GCMs (CNRM-CM5, CCSM4, and IPSL-CM5A-MR) from 1980 to 2099 was used to assess projected climate change impacts in North Central U.S. We obtained required data from MACA data (https://climate.northwestknowledge.net/MACA/). Historical time period ranges from 1980 to 2005, and projected time period ranges from 2071 to 2099. The climate data includes temperature and precipitation whereas water balance data includes Potential Evapotranspiration (PET) and Moisture Index (MI) estimated using Penman-Monteith and Thornthwaite methods defining as Penman PET, Penman MI, Thornthwaite PET and Thornthwaite MI. Both types of MI was estimated as a ratio of... Categories: Data; Tags: Grasslands and Plains, Landscapes, MACA, Moisture Index, North Central CASC, All tags... Other Landscapes, Precipitation, Thornthwaite PET, biota, Fewer tags Drought Risk and Adaptation in the Interior (DRAI) Database of Interviews with DOI/Tribal land managers in northwest Colorado, southwest South Dakota, and Wind River Reservation in Wyoming, 2013-2016 The purpose of this study was to understand how the U.S. Department of Interior’s federal land and resource managers and their stakeholders (i.e., NPS, BLM, FWS, BOR, BIA and tribes, among others) are experiencing and dealing with drought in their landscapes. The database is part of the Drought Risk and Adaptation in the Interior project. We conducted in-depth interviews (n=41) with DOI and tribal land managers in three case sites across the north central United States (northwest Colorado, southwest South Dakota, and Wind River Reservation), the goal of which was to develop a better understanding of drought vulnerabilities, risks, and responses in high-risk, multi-jurisdictional landscapes across the Missouri River... Categories: Data; Tags: Colorado, Data Visualization & Tools, Drought, Drought, Fire and Extreme Weather, Missouri River basin, All tags... North Central CASC, North Central United States, Science Tools For Managers, Social Science, South Dakota, Wind River Reservation, Wyoming, Yampa, climate change, droughts, effects of climate change, environment, human impacts, natural resource management, northwest Colorado, risk assessment, social sciences, southwest South Dakota, Fewer tags Monthly Pan Evaporation Data across the Continental United States between 1950-2001 Pan evaporation is a measure of atmospheric evaporative demand (E0) for which long term and spatially distributed observations are available from the NOAA Cooperative Observer (COOP) Network. However, this data requires extensive quality control and homogenization due to documented and undocumented station moves and other factors including human errors in recording or digitization. Station-based Pan Evaporation measurements (in mm) from 247 stations across the continental United States were compiled and quality controlled for the analysis shown in Dewes et al., 2017. This dataset reports warm season (May-October; for 21 stations the data is only available for May-September) pan evaporation with at least 20 years... Categories: Data; Tags: Climate modelling, Climatology, Drought, Drought, Fire and Extreme Weather, Evaporation, All tags... North Central CASC, Seasons, Water resources, Wind, climate change, climate change, climatology, drought, drought, elevation, wind, Fewer tags HadGEM2-ES: Downscaled climate projections at 800m spatial resolution for the north central United States based on the Multivariate Adaptive Constructed Analog (MACA) method This dataset provides downscaled climate projections at 800m spatial resolution for nine ecologically-relevant climate variables for the north central US region between 35.5N-49N latitude and 88W-118W longitude from the Met Office Hadley Center (UK) model, HadGEM2-ES, simulations (r1i1p1) from two emissions scenarios (RCP 4.5 and 8.5), which are downscaled using the Multivariate Adaptive Constructed Analog (MACA) method. These projections are available as five different (approximately) 30-year climate normals between 1950 and 2099 as monthly values, except for Aridity Index which are annual values. The five periods for which these climate normals are provided are 1950-1979 and 1980-2005 in the historic, and 2011-2040,... Categories: Data; Tags: Drought, Drought, Fire and Extreme Weather, North Central CASC, land surface climate variables GFDL-ESM2M: Downscaled climate projections at 800m spatial resolution for the north central United States based on the Multivariate Adaptive Constructed Analog (MACA) method This dataset provides downscaled climate projections at 800m spatial resolution for nine ecologically-relevant climate variables for the north central US region between 35.5N-49N latitude and 88W-118W longitude from the NOAA Geophysical Fluid Dynamics Laboratory (USA) model, GFDL-ESM2M, simulations (r1i1p1) from two emissions scenarios (RCP 4.5 and 8.5), which are downscaled using the Multivariate Adaptive Constructed Analog (MACA) method. These projections are available as five different (approximately) 30-year climate normals between 1950 and 2099 as monthly values, except for Aridity Index which are annual values. The five periods for which these climate normals are provided are 1950-1979 and 1980-2005 in the... Categories: Data; Tags: Drought, Drought, Fire and Extreme Weather, North Central CASC, land surface climate variables Land use change and fragmentation of Theodore Roosevelt Greater Wildland Ecosystems (GWE) using LANDFIRE data Fragmentation extent of six ecosystem types after European Settlement was analyzed using LANDFIRE data. The ecosystem types includes: Grassland, Shrubland, Conifer, Riparian, Hardwood and Sparse ecosystems. The land use change and fragmentation extents have been analyzed by delineating nine Greater Wildland Ecosystems (GWEs) across NCCSC. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Fragmentation, Grasslands and Plains, Greater Wildland Ecosystem, LANDFIRE, Land Use Land Cover, All tags... Landscapes, NLCD, North Central CASC, Other Landscapes, Fewer tags Evaporative Demand Drought Index (EDDI) Maps of the CONUS EDDI is a drought indicator that uses atmospheric evaporative demand (E0) anomalies across a time-window of interest relative to its climatology to indicate the spatial extent and severity of drought. This page provides access to near-real-time (with a five-day latency, i.e., the most recent information is five days old) EDDI plots with time windows integrating E0 anomalies from 1 to 12 weeks and 1 to 12 months from the most current date. E0 is calculated using the Penman Monteith FAO56 reference evapotranspiration formulation driven by temperature, humidity, wind speed, and incoming solar radiation from the North American Land Data Assimilation System (NLDAS-2) dataset. For a particular time-window, EDDI is estimated... Categories: Data; Tags: Drought, Drought, Drought Index, Drought, Fire and Extreme Weather, EDDI, All tags... North Central CASC, Fewer tags Land use change and fragmentation of Great Sand Dunes Greater Wildland Ecosystems (GWE) using LANDFIRE data Fragmentation extent of six ecosystem types after European Settlement was analyzed using LANDFIRE data. The ecosystem types includes: Grassland, Shrubland, Conifer, Riparian, Hardwood and Sparse ecosystems. The land use change and fragmentation extents have been analyzed by delineating nine Greater Wildland Ecosystems (GWEs) across NCCSC. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Grasslands and Plains, Greater Wildland Ecosystem, Housing Density, LANDFIRE, Land Use Land Cover, All tags... Landscapes, NLCD, North Central CASC, Other Landscapes, Fewer tags Water balance across regional climate gradients: A comparison of two potential evapotranspiration metrics (1980-2099). Historical and projected climate data and water balance data under three GCMs (CNRM-CM5, CCSM4, and IPSL-CM5A-MR) from 1980 to 2099 was used to assess projected climate change impacts in North Central U.S. We obtained required data from MACA data (https://climate.northwestknowledge.net/MACA/). Historical time period ranges from 1980 to 2005, and projected time period ranges from 2071 to 2099. The climate data includes temperature and precipitation whereas water balance data includes Potential Evapotranspiration (PET) and Moisture Index (MI) estimated using Penman-Monteith and Thornthwaite methods defining as Penman PET, Penman MI, Thornthwaite PET and Thornthwaite MI. Both types of MI was estimated as a ratio of... Categories: Data; Tags: Grasslands and Plains, Landscapes, MACA, Moisture Index, North Central CASC, All tags... Other Landscapes, Potential Evapotranspiration, Precipiation, Temperature, utilitiesCommunication, Fewer tags Land use change and fragmentation of Rocky Mountain Greater Wildland Ecosystems (GWE) using LANDFIRE data Fragmentation extent of six ecosystem types after European Settlement was analyzed using LANDFIRE data. The ecosystem types includes: Grassland, Shrubland, Conifer, Riparian, Hardwood and Sparse ecosystems. The land use change and fragmentation extents have been analyzed by delineating nine Greater Wildland Ecosystems (GWEs) across NCCSC. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Fragmentation, Grasslands and Plains, Greater Wildland Ecosystem, LANDFIRE, Land Use Land Cover, All tags... Landscapes, NLCD, North Central CASC, Other Landscapes, Fewer tags Land use change and fragmentation of Grand River Greater Wildland Ecosystems (GWE) using LANDFIRE data Fragmentation extent of six ecosystem types after European Settlement was analyzed using LANDFIRE data. The ecosystem types includes: Grassland, Shrubland, Conifer, Riparian, Hardwood and Sparse ecosystems. The land use change and fragmentation extents have been analyzed by delineating nine Greater Wildland Ecosystems (GWEs) across NCCSC. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Fragmentation, Grasslands and Plains, Greater Wildland Ecosystem, LANDFIRE, Land Use Land Cover, All tags... Landscapes, NLCD, North Central CASC, Other Landscapes, Fewer tags TopoWx: Topoclimatic Daily Air Temperature Dataset for the Conterminous United States The TopoWx ('Topography Weather') dataset contains historical 30-arcsec resolution (~800-m) interpolations of daily minimum and maximum topoclimatic air temperature for the conterminous U.S. Using both DEM-based variables and MODIS land skin temperature as predictors of air temperature, interpolation procedures include moving window regression kriging and geographically weighted regression. To avoid artificial climate trends, all input station data are homogenized using the GHCN/USHCN Pairwise Homogenization Algorithm (http://www.ncdc.noaa.gov/oa/climate/research/ushcn/#phas). The interpolation model is open source and information on obtaining model code can be found at http://www.ntsg.umt.edu/project/TopoWx. The... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, NetCDF OPeNDAP Service, Raster; Tags: MODIS, air temperature, climatologyMeteorologyAtmosphere, dataset, gridded meteorological data, All tags... land skin temperature, maximum temperature, minimum temperature, service, Fewer tags Boundary of all Greater Wildland Ecosystems Combined This is a combined shapefile of all Greater Widland Ecosystems. We first created shapefiles for each GWE using hydrological units, contiguous habitat, human influence (25 km buffer) taking into account of federal, private, and tribal lands. We then combined them. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Badland, Bighorn, Fort Peck, Grand River, Grandsand Dunes, All tags... Grasslands and Plains, Lake Traverse, Landscapes, North Central CASC, Other Landscapes, Rocky Mountain, Theodore Roosevelt, Fewer tags CNRM-CM5: Downscaled climate projections at 800m spatial resolution for the north central United States based on the Multivariate Adaptive Constructed Analog (MACA) method This dataset provides downscaled climate projections at 800m spatial resolution for nine ecologically-relevant climate variables for the north central US region between 35.5N-49N latitude and 88W-118W longitude from the National Centre of Meteorological Research (France) model, CNRM-CM5, simulations (r1i1p1) from two emissions scenarios (RCP 4.5 and 8.5), which are downscaled using the Multivariate Adaptive Constructed Analog (MACA) method. These projections are available as five different (approximately) 30-year climate normals between 1950 and 2099 as monthly values, except for Aridity Index which are annual values. The five periods for which these climate normals are provided are 1950-1979 and 1980-2005 in the... Categories: Data; Tags: Drought, Drought, Fire and Extreme Weather, North Central CASC, land surface climate variables Land use change and fragmentation of Bighorn Greater Wildland Ecosystems (GWE) using LANDFIRE data Fragmentation extent of six ecosystem types after European Settlement was analyzed using LANDFIRE data. The ecosystem types includes: Grassland, Shrubland, Conifer, Riparian, Hardwood and Sparse ecosystems. The land use change and fragmentation extents have been analyzed by delineating nine Greater Wildland Ecosystems (GWEs) across NCCSC. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Fragmentation, Grasslands and Plains, Greater Wildland Ecosystem, Housing Desnity, LANDFIRE, All tags... Land Use Land Cover, Landscapes, NLCD, North Central CASC, Other Landscapes, Fewer tags IPSL-CM5A-MR: Downscaled climate projections at 800m spatial resolution for the north central United States based on the Multivariate Adaptive Constructed Analog (MACA) method This dataset provides downscaled climate projections at 800m spatial resolution for nine ecologically-relevant climate variables for the north central US region between 35.5N-49N latitude and 88W-118W longitude from the Institut Pierre Simon Laplace (France) model, IPSL-CM5A-MR, simulations (r1i1p1) from two emissions scenarios (RCP 4.5 and 8.5), which are downscaled using the Multivariate Adaptive Constructed Analog (MACA) method. These projections are available as five different (approximately) 30-year climate normals between 1950 and 2099 as monthly values, except for Aridity Index which are annual values. The five periods for which these climate normals are provided are 1950-1979 and 1980-2005 in the historic,... Categories: Data; Tags: Drought, Drought, Fire and Extreme Weather, North Central CASC, land surface climate variables PhenoCams deployed in Kansas, Montana, Colorado, Wyoming, South Dakota, North Dakota, Nebraska and Iowa The NC CSC has collaborated with the USGS AmericaView program to deploy cameras that will record phenology throughout the region. Although, not all cameras were deployed throught AmericaView, they were deployed at the following sites: Ashland Bottoms, Kansas Bangtail Study Area in Bozeman, Montana Central Plains Experimental Range, Colorado Grand River Grasslands, Iowa Grand Teton National Park National Elk Refuge, Wyoming Nine Mile Prairie, University of Nebraska, Nebraska Oakville Prairie, North Dakota Poudre Learning Center, Colorado Sagebrush Steppe, Wyoming Earth Resources Observation and Science Center, South Dakota Categories: Data, Web Site; Tags: Colorado, Data Visualization & Tools, Indigenous Peoples, Iowa, Montana, All tags... Nebraska, North Central CASC, North Dakota, Science Tools For Managers, South Dakota, Tribes and Tribal Organizations, Wyoming, phenocam, phenology, Fewer tags Land use change and fragmentation of Badland Greater Wildland Ecosystems (GWE) using LANDFIRE data Fragmentation extent of six ecosystem types after European Settlement was analyzed using LANDFIRE data. The ecosystem types includes: Grassland, Shrubland, Conifer, Riparian, Hardwood and Sparse ecosystems. The land use change and fragmentation extents have been analyzed by delineating nine Greater Wildland Ecosystems (GWEs) across NCCSC. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Fragmentation, Grasslands and Plains, Greater Wildland Ecosystem, Housing Desnity, LANDFIRE, All tags... Land Use Land Cover, Landscapes, NLCD, North Central CASC, Other Landscapes, Fewer tags 1 2 »