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Location Folder Show Tree ROOT _ScienceBase Catalog __National and Regional Climate Adaptation Science Centers ___North Central CASC ____FY 2014 Projects _____Foundational Science Area: Developing Climate Change Understanding and Resources for Adaptation in the North Central U.S. Approved DataSets Approved Products Other (Approved for Public) Filters Date Range Past year (1) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Citation (1) Types Citation (1) Contacts Imtiaz Rangwala Joseph J. Barsugli Michael T. Hobbins Imtiaz Rangwala Joseph Barsugli More... Categories Data (7) Publication (1) Tag Types Theme (7) Drought, Fire and Extreme Weather (9) Organization (9) Science Themes (9) Tag Schemes https://www.sciencebase.gov/vocab/category/NCCWSC/DroughtFireandExtremeWeather (9) https://www.sciencebase.gov/vocab/category/NCCWSC/Project/OrganizationName (9) https://www.sciencebase.gov/vocab/category/NCCWSC/ScienceThemes (9) climatologyMeteorologyAtmosphere (6) ISO 19115 Topic Category (1) View Results as: JSON ATOM CSV Browse Folder

Drought risk assessment under climate change is sensitive to methodological choices for the estimation of evaporative demand Abstract (from http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0174045): Several studies have projected increases in drought severity, extent and duration in many parts of the world under climate change. We examine sources of uncertainty arising from the methodological choices for the assessment of future drought risk in the continental US (CONUS). One such uncertainty is in the climate models’ expression of evaporative demand (E0), which is not a direct climate model output but has been traditionally estimated using several different formulations. Here we analyze daily output from two CMIP5 GCMs to evaluate how differences in E0 formulation, treatment of meteorological driving data, choice of GCM,... Categories: Publication; Types: Citation; Tags: Drought, Drought, Drought, Fire and Extreme Weather, North Central CASC 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 Downscaled climate projections at 800m spatial resolution for the north central United States based on the Multivariate Adaptive Constructed Analog (MACA) method from selective CMIP5 models 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... Tags: Drought, Drought, Fire and Extreme Weather, Multivariate Adaptive Constructed Analog (MACA), North Central CASC, downscaled climate projections, All tags... land surface climate variables, 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 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 CanESM2: 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 Canadian Centre for Climate Modeling and Analysis model, CanESM2, 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 CCSM4: 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 Center of Atmospheric Research (USA) model, CCSM4, simulations (r6i1p1) 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