Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > North Central CASC > FY 2014 Projects > Foundational Science Area: Helping People and Nature Adapt to Climate Change in the North Central U.S. > Approved DataSets ( Show direct descendants )
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ROOT _ScienceBase Catalog __National and Regional Climate Adaptation Science Centers ___North Central CASC ____FY 2014 Projects _____Foundational Science Area: Helping People and Nature Adapt to Climate Change in the North Central U.S. ______Approved DataSets Filters
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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,
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...
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 12 Coupled Model Intercomparison Project - Phase 5 (CMIP5) climate model simulations (6GCMs x 2RCPs) 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, 2041-2070 and...
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,
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