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In this project, we used an advanced statistical downscaling method that combines high-resolution observations with outputs from 16 different global climate models based on 4 future emission scenarios to generate the most comprehensive dataset of daily temperature and precipitation projections available for climate change impacts in the U.S. The gridded dataset covers the continental United States, southern Canada and northern Mexico at one-eighth degree resolution and Alaska at one-half degree resolution. The high-resolution projections produced by this work have been rigorously quality-controlled for both errors and biases in the global climate and statistical downscaling models. We also calculated projected future...
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In this project, we used an advanced statistical downscaling method that combines high-resolution observations with outputs from 16 different global climate models based on 4 future emission scenarios to generate the most comprehensive dataset of daily temperature and precipitation projections available for climate change impacts in the U.S. The gridded dataset covers the continental United States, southern Canada and northern Mexico at one-eighth degree resolution and Alaska at one-half degree resolution. The high-resolution projections produced by this work have been rigorously quality-controlled for both errors and biases in the global climate and statistical downscaling models. We also calculated projected future...
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These files contain spatial fields of simulated yearly thermosteric sea-level anomalies between 1951-2100 (referenced to year 1800) from a perturbed physics ensemble experiment using the University of Victoria Earth System Model (UVic). Thermosteric sea-level anomalies are derived from changes in density, which are calculated using the model's temperature and salinity fields. The ensemble varies 3 parameters controlling the model's equilibrium climate sensitivity (CS), background vertical diffusivity in the ocean (KV), and radiative effects of atmospheric sulfate aerosols (ASC). These parameters are varied over the following ranges: CS-(1.1, 1.6, 2.2, 2.6, 3.1, 4.0, 5.4, 6.5, 8.2, 11.2); KV-(0.1, 0.2, 0.3, 0.4,...
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This archive contains daily statistically downscaled climate projections for the United States and southern Canada east of the Rocky Mountains at 0.1 degree resolution. Further documentation is available here: http://djlorenz.github.io/downscaling2/main.html The downscaled variables are daily precipitation, daily maximum temperature and daily minimum temperature. The downscaling is based on 13 models from Phase 3 of the Coupled Model Inter-comparison Project (CMIP3), a critical source of data to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR4).
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This archive contains 234 projections of monthly BCSD CMIP5 projections of precipitation and monthly means of daily-average, daily maximum and daily minimum temperature over the contiguous United States. For more information visit http://gdo-dcp.ucllnl.org/downscaled_cmip_projections/
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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...
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This archive contains daily surface meteorological (METDATA) data for the Continental United States at 4-km (1/24-deg) resolution. The meteorological variables are maximum/minimum temperature, precipitation amount and duration, maximum/minimum relative humidity,downward shortwave solar radiation, wind speed and direction, and specific humidity. The method utilized here combines desirable spatial attributes of gridded climate data from PRISM and desirable temporal attributes of regional-scale reanalysis and daily gauge-based precipitation from NLDAS-2 to derive a spatially and temporally complete high resolution gridded dataset of surface meteorological variables for the continental US for 1979-2012. Validation of...
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This dataset is output from the Sea Level Affecting Marshes Model (SLAMM) for the South Atlantic Migratory Bird Initiative (SAMBI) geographic planning region. It represents 10 year increments (ranging from year 2000 - year 2100) for the climate change scenario A1B, A1FI, A2, or B1. The dataset was developed as one component for modeling landscape scale alterations of avian habitats due to climate change. It may also be used as a stand-alone product to illustrate potential changes in marsh and coastal environments due to longterm sea level rise. Model outputs from SLAMM are subject to constraints of the modeling process itself. The Biodiversity and Spatial Information Center (BaSIC) did not create the SLAMM modeling...
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This dataset represents the extent of urbanization (for the year indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Donato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University. Urban growth probability extents throughout the 21st century for the DSL-SAMBI, which encompasses the Atlantic Coastal Plain in the states of Alabama, Florida, Georgia, North Carolina, South Carolina and Virginia. This data set is not intended...
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This archive contains 234 projections of monthly BCSD CMIP5 projections of precipitation and monthly means of daily-average, daily maximum and daily minimum temperature over the contiguous United States. For more information visit http://gdo-dcp.ucllnl.org/downscaled_cmip_projections/
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This archive contains projections of daily BCCA CMIP3 and CMIP5 projections of precipitation, daily maximum, and daily minimum temperature over the contiguous United States. For more information visit http://gdo-dcp.ucllnl.org/downscaled_cmip_projections/ Corrections to the dry bias in precipitation have been applied to this dataset according the Errata here: http://gdo-dcp.ucllnl.org/downscaled_cmip_projections/techmemo/Errata.ClimateDownscalingDocumentation.130717.pdf The values in this archive will differ slightly from those in the gdp-dcp archive. These data have been rounded to the nearest 0.1 (mm or deg C) so will vary +/- 0.05 compared to the original data. This was done in an effort to compress / deflate...
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This dataset represents the extent of urbanization (for the year indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Donato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University. Purpose: Urban growth probability extents throughout the 21st century for the Southeast Regional Assessment Project, which encompasses the states of Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee...
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This archive contains projections of daily BCCA CMIP3 and CMIP5 projections of precipitation, daily maximum, and daily minimum temperature over the contiguous United States. For more information visit http://gdo-dcp.ucllnl.org/downscaled_cmip_projections/ Corrections to the dry bias in precipitation have been applied to this dataset according the Errata here: http://gdo-dcp.ucllnl.org/downscaled_cmip_projections/techmemo/Errata.ClimateDownscalingDocumentation.130717.pdf The values in this archive will differ slightly from those in the gdp-dcp archive. These data have been rounded to the nearest 0.1 (mm or deg C) so will vary +/- 0.05 compared to the original data. This was done in an effort to compress / deflate...
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These files contain spatial fields of simulated yearly thermosteric sea-level anomalies between 1951-2100 (referenced to year 1800) from a perturbed physics ensemble experiment using the University of Victoria Earth System Model (UVic). Thermosteric sea-level anomalies are derived from changes in density, which are calculated using the model's temperature and salinity fields. The ensemble varies 3 parameters controlling the model's equilibrium climate sensitivity (CS), background vertical diffusivity in the ocean (KV), and radiative effects of atmospheric sulfate aerosols (ASC). These parameters are varied over the following ranges: CS-(1.1, 1.6, 2.2, 2.6, 3.1, 4.0, 5.4, 6.5, 8.2, 11.2); KV-(0.1, 0.2, 0.3, 0.4,...
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This dataset is output from the Sea Level Affecting Marshes Model (SLAMM) for the South Atlantic Migratory Bird Initiative (SAMBI) geographic planning region. It represents 10 year increments (ranging from year 2000 - year 2100) for the climate change scenario A1B, A1FI, A2, or B1. The dataset was developed as one component for modeling landscape scale alterations of avian habitats due to climate change. It may also be used as a stand-alone product to illustrate potential changes in marsh and coastal environments due to longterm sea level rise. Model outputs from SLAMM are subject to constraints of the modeling process itself. The Biodiversity and Spatial Information Center (BaSIC) did not create the SLAMM modeling...
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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...
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The California Basin Characterization Model (CA-BCM 2014) dataset provides historical and projected climate and hydrologic surfaces for the region that encompasses the state of California and all the streams that flow into it (California hydrologic region ). The CA-BCM 2014 applies a monthly regional water-balance model to simulate hydrologic responses to climate at the spatial resolution of a 270-m grid. The model has been calibrated using a total of 159 relatively unimpaired watersheds for the California region. The historical data is based on 800m PRISM data spatially downscaled to 270 m using the gradient-inverse distance squared approach (GIDS), and the projected climate surfaces include five CMIP-3 (GFDL,...
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This archive contains fine spatial-resolution translations of 112 contemporary climate projections over the contiguous United States. The original projections are from the World Climate Research Programme's (WCRP's) Coupled Model Intercomparison Project phase 3 (CMIP3) multi-model dataset, which was referenced in the Intergovernmental Panel on Climate Change Fourth Assessment Report.
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The California Basin Characterization Model (CA-BCM 2014) dataset provides historical and projected climate and hydrologic surfaces for the region that encompasses the state of California and all the streams that flow into it (California hydrologic region ). The CA-BCM 2014 applies a monthly regional water-balance model to simulate hydrologic responses to climate at the spatial resolution of a 270-m grid. The model has been calibrated using a total of 159 relatively unimpaired watersheds for the California region. The historical data is based on 800m PRISM data spatially downscaled to 270 m using the gradient-inverse distance squared approach (GIDS), and the projected climate surfaces include five CMIP-3 (GFDL,...
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This archive contains daily statistically downscaled climate projections for the United States and southern Canada east of the Rocky Mountains at 0.1 degree resolution. Further documentation is available here: http://djlorenz.github.io/downscaling2/main.html The downscaled variables are daily precipitation, daily maximum temperature and daily minimum temperature. The downscaling is based on 13 models from Phase 3 of the Coupled Model Inter-comparison Project (CMIP3), a critical source of data to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR4).


map background search result map search result map Urban Growth Projection for DSL-SAMBI Bias Corrected Spatially Downscaled Monthly Climate Predictions Bias Corrected Constructed Analogs V2 Daily Climate Projections University of Idaho Daily Meteorological data for continental US Half degree-Alaska Daily Downscaled Climate Projections by Katharine Hayhoe Daily Statistically Downscaled Climate Projections for the US and southern Canada east of the Rocky Mountains. Sea Level Rise Projections for DSL-SAMBI Bias Corrected Spatially Downscaled Monthly CMIP5 Climate Projections TopoWx: Topoclimatic Daily Air Temperature Dataset for the Conterminous United States Thermosteric Sea Level Rise Projections with Parametric Uncertainty California Basin Characterization Model Downscaled Climate and Hydrology Half degree-Alaska Daily Downscaled Climate Projections by Katharine Hayhoe Daily Statistically Downscaled Climate Projections for the US and southern Canada east of the Rocky Mountains. Sea Level Rise Projections for DSL-SAMBI Bias Corrected Spatially Downscaled Monthly CMIP5 Climate Projections Thermosteric Sea Level Rise Projections with Parametric Uncertainty TopoWx: Topoclimatic Daily Air Temperature Dataset for the Conterminous United States Urban Growth Projection for Southeast Regional Assessment Project Bias Corrected Constructed Analogs V2 Daily Climate Projections California Basin Characterization Model Downscaled Climate and Hydrology Sea Level Rise Projections for DSL-SAMBI Sea Level Rise Projections for DSL-SAMBI Urban Growth Projection for DSL-SAMBI Urban Growth Projection for Southeast Regional Assessment Project California Basin Characterization Model Downscaled Climate and Hydrology California Basin Characterization Model Downscaled Climate and Hydrology Half degree-Alaska Daily Downscaled Climate Projections by Katharine Hayhoe Half degree-Alaska Daily Downscaled Climate Projections by Katharine Hayhoe University of Idaho Daily Meteorological data for continental US Daily Statistically Downscaled Climate Projections for the US and southern Canada east of the Rocky Mountains. Daily Statistically Downscaled Climate Projections for the US and southern Canada east of the Rocky Mountains. TopoWx: Topoclimatic Daily Air Temperature Dataset for the Conterminous United States TopoWx: Topoclimatic Daily Air Temperature Dataset for the Conterminous United States Bias Corrected Spatially Downscaled Monthly Climate Predictions Bias Corrected Constructed Analogs V2 Daily Climate Projections Bias Corrected Constructed Analogs V2 Daily Climate Projections Bias Corrected Spatially Downscaled Monthly CMIP5 Climate Projections Bias Corrected Spatially Downscaled Monthly CMIP5 Climate Projections Thermosteric Sea Level Rise Projections with Parametric Uncertainty Thermosteric Sea Level Rise Projections with Parametric Uncertainty