PCIC offers statisically downscaled daily climate scenarios, at a gridded resolution of 300 arc-seconds (0.0833 degrees, or roughly 10 km) for the simulated period of 1950-2100. The variables available include minimum temperature, maximum temperature, and precipitation. These downscaling outputs are based on Global Climate Model (GCM) projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5) and historical daily gridded climate data for Canada. Statistical properties and spatial patterns of the downscaled scenarios are based on this gridded observational dataset, which represents one approximation of the actual historical climate. Gridded values may differ from climate stations and biases may be present at high elevations or in areas with low station density. Projected change from historical (1950-2005) in several indices of climate extremes under three Global Circulation Models for two time periods (2050s and 2080s) under RCP 8.5 is provided.

This archive contains daily dynamically downscaled climate projections and simulated land surface water and energy fluxes for the northwestern United States and part of southern British Columbia (N of about 38 degrees N and W of about 105 degrees W) at 1/16th (0.0625) degree resolution. Climate and hydrologic variables (21 total) are as follows: precipitation, temperature (avg./max./min.), outgoing longwave radiation, incoming shortwave radiation, relative humidity, vapor pressure deficit, evapotranspiration, runoff, baseflow, soil moisture (3-layers), snow water equivalent, snow depth, and potential evapotranspiration (5 vegetation references). The downscaling is based on the Weather Research and Forecasting (WRF) regional model. WRF was run using boundary conditions from the ECHAM5 global model and the SRES A1B emissions scenario, one of the models from Phase 3 of the Coupled Model Intercomparison Project (CMIP3), a critical source of data to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR4). Climate simulations were performed using an inner grid resolution of 12-km over the region and a 100-year (1970-2070) simulation. Documentation home: http://cses.washington.edu/cig/data/wus.shtml Reference: This research was sponsored by a grant from the Department of the Interior, CIDA NW Climate Science Center, a multi-institution DOI-funded project located at the University of Washington, Oregon State University, and the University of Idaho. We also acknowledge the modeling groups, the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and the WCRP's Working Group on Coupled Modelling (WGCM) for their roles in making available the WCRP CMIP3 multi-model dataset. Support of this dataset is provided by the Office of Science, U.S. Department of Energy.

This archive contains daily statistically downscaled climate projections and simulated land surface water and energy fluxes for the western United States and southern British Columbia at 1/16th (0.0625) degree resolution. Climate and hydrologic variables (21 total) are as follows: precipitation, temperature (avg./max./min.), outgoing longwave radiation, incoming shortwave radiation, relative humidity, vapor pressure deficit, evapotranspiration, runoff, baseflow, soil moisture (3-layers), snow water equivalent, snow depth, and potential evapotranspiration (5 vegetation references). The downscaling used is the Modified Delta approach (see Littell et al. 2011), based on 10 models from Phase 3 of the Coupled Model Intercomparison Project (CMIP3), a critical source of data to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR4). Documentation home: http://cses.washington.edu/cig/data/wus.shtml Note that time-stamps on these data are not in the future. See the statistical downscaling chapter from this report for more information. http://warm.atmos.washington.edu/2860/r7climate/study_report/CBCCSP_chap4_gcm_final.pdf Reference: This research was sponsored by a grant from the Department of the Interior, USGS NW Climate Science Center, a multi-institution DOI-funded project located at the University of Washington, Oregon State University, and the University of Idaho. We also acknowledge the modeling groups, the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and the WCRP's Working Group on Coupled Modelling (WGCM) for their roles in making available the WCRP CMIP3 multi-model dataset. Support of this dataset is provided by the Office of Science, U.S. Department of Energy.

This archive contains daily statistically downscaled climate projections and simulated land surface water and energy fluxes for the western United States and southern British Columbia at 1/16th (0.0625) degree resolution. Climate and hydrologic variables (21 total) are as follows: precipitation, temperature (avg./max./min.), outgoing longwave radiation, incoming shortwave radiation, relative humidity, vapor pressure deficit, evapotranspiration, runoff, baseflow, soil moisture (3-layers), snow water equivalent, snow depth, and potential evapotranspiration (5 vegetation references). The downscaling used is the Modified Delta approach (see Littell et al. 2011), based on 10 models from Phase 3 of the Coupled Model Intercomparison Project (CMIP3), a critical source of data to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR4). Documentation home: http://cses.washington.edu/cig/data/wus.shtml Note that time-stamps on these data are not in the future. See the statistical downscaling chapter from this report for more information. http://warm.atmos.washington.edu/2860/r7climate/study_report/CBCCSP_chap4_gcm_final.pdf Reference: This research was sponsored by a grant from the Department of the Interior, CIDA NW Climate Science Center, a multi-institution DOI-funded project located at the University of Washington, Oregon State University, and the University of Idaho. We also acknowledge the modeling groups, the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and the WCRP's Working Group on Coupled Modelling (WGCM) for their roles in making available the WCRP CMIP3 multi-model dataset. Support of this dataset is provided by the Office of Science, U.S. Department of Energy.

LOCA is a statistical downscaling technique that uses past history to add improved fine-scale detail to global climate models. We have used LOCA to downscale 32 global climate models from the CMIP5 archive at a 1/16th degree spatial resolution, covering North America from central Mexico through Southern Canada. The historical period is 1950-2005, and there are two future scenarios available: RCP 4.5 and RCP 8.5 over the period 2006-2100 (although some models stop in 2099). The variables currently available are daily minimum and maximum temperature, and daily precipitation. For more information visit: http://loca.ucsd.edu/

LOCA is a statistical downscaling technique that uses past history to add improved fine-scale detail to global climate models. We have used LOCA to downscale 32 global climate models from the CMIP5 archive at a 1/16th degree spatial resolution, covering North America from central Mexico through Southern Canada. The historical period is 1950-2005, and there are two future scenarios available: RCP 4.5 and RCP 8.5 over the period 2006-2100 (although some models stop in 2099). The variables currently available are daily minimum and maximum temperature, and daily precipitation. For more information visit: http://loca.ucsd.edu/

This collection contains three statistically downscaled time series (datasets) for the Red River Basin (South Central U.S.), and one dataset used as historical observations. In particular, three different Global Climate Models (MPI-ESM-LR, CCSM4 and MIROC5) were downscaled using three different quantile mapping methods (CDFt, EDQM and BCQM). We do not recommend the use of the BCQM method, as the CDFt method is considered an improvement of it. The datasets created using the BCQM method are published as a demonstration of the risks of using flawed methods. The variables of interest are: daily maximum and minimum temperature, and daily precipitation. The spatial resolution of the datasets in the collection is 1/10th of a degree (~ 11 km). The statistically downscaled datasets include local climate projections of three different Representative Concentration Pathways (RCPs - 2.6, 4.5 and 8.5) for the 21st century (2006 – 2099), and for the historical (1961-2005) period. The project was funded by the CIDA – South Central Climate Science Center.