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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/
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These daily gridded observations at 1/8 degree spatial resolution (about 12 km) are a baseline dataset to be compered to downscaled climate predictions. The grid used is the same as has been used by other 1/8th degree spatial resolution downscaling projects. Before using this dataset, please review the material summarized here: https://my.usgs.gov/confluence/display/GeoDataPortal/2014/04/16/Notice%3A+Evaluation+of+Maurer+gridded+observational+datasets+and+their+impacts+on+downscaled+products
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NOTICE: Given the large size of the MACAv2METDATA dataset, and a known issue with the data server being used to host it, initial load times may take a very long time and / or time out. Subsequent requests should be faster due to caching, but the cache clears periodically and the dataset must be rescanned prior to access. We are working on a fix for this issue. In the mean time, please use the dataset with care and make sureyou've reviewed the GDP scalability guidelines. https://my.usgs.gov/confluence/display/GeoDataPortal/Geo+Data+Portal+Scalability+Guidelines This archive contains daily downscaled meteorological and hydrological projections for the Conterminous United States at 1/24-deg resolution utilizing the...
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This archive contains daily downscaled meteorological and hydrological projections for the Columbia Basin in the United States at 1/16-deg resolution utilizing 9 different downscaling methods. The downscaled meteorological variables are maximum/minimum temperature(tasmax/tasmin), precipitation amount(pr), downward shortwave solar radiation(rsds), wind speed(was), and specific humidity(huss). The downscaling is based on the CCSM3e model from Phase 3 of the Coupled Model Inter-comparison Project (CMIP3) utlizing the historical 20C3M (1971-1999) and future SRESA2(2041-2070) scenarios. The downscaling methods include 3 statistical downscaling methods: Multivariate Adaptive Constructed Analogs (MACA) and monthly(and...
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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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TR-33: Maps are presented showing the areal distribution in the contiguous 48 states of evaporation (1) observed from Class A pans from from May through October, (2) estimated for a free water surface (FWS) and (3) estimated for an FWS for the entire year. A map is presented of the coefficients to convert from pan evaporation to FWS evaporation. Sources of data, analyses of the maps, and limitation on their use are described. TR-34: This publication is a compilation of monthly, seasonal, and annual averages of estimated pan evaporation based on observations from Class A pans and on meteorological measurements by the National Weather Service (NWS) and cooperating agencies. It replace Technical Paper No. 13 (U.S....
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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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We created ADAPT to help partners make science-informed decisions related to species and habitat prioritization across the Southwest United States. We used Integrated Nested Laplace Approximation (INLA) to analyze the data at a 1-km resolution. We used climate and land use change data generated from CMIP 6 climate models. Count data were from eBird surveys and converted to presence/absence data for analysis. Our model consisted of fixed effects of elevation, land cover type, and effort with random effects for year and site as well as a spatial random effect. We implemented the effect of relative humidity as a spatially-varying coefficient such that the effect of relative humidity on occupancy can vary at each grid...
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Reclassed areas of just sagebrush (1) and no sagebrush (0, areas with originally no sagebrush or recently burned areas). Landfire codes were: 2080, 2125, 2126, 2220, 2064, 2072, 2079, 2124) This layer is an intermediate layer used to create a sagebrush landscape cover layer using a moving window analysis. See Landfire metadata for an assessment of that data. See WFDSS, GEOMAC and MTBS fire metadata for more information on those data
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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...
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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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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/
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These daily gridded observations at 1/8 degree spatial resolution (about 12 km) are a baseline dataset to be compered to downscaled climate predictions. The grid used is the same as has been used by other 1/8th degree spatial resolution downscaling projects. The updated data were processed exactly as in the reference above with the single exception of the precipitation time-of-observation adjustment. For this updated dataset, if a meteorological station has a time of observation before noon, the precipitation is assigned to the prior day, otherwise no adjustment is made. Before using this dataset, please review the materials here: https://my.usgs.gov/confluence/display/GeoDataPortal/2014/04/16/Notice%3A+Evaluation+of+Maurer+gridded+observational+datasets+and+their+impacts+on+down...
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This data set provides Daymet Version 3 model output data as gridded estimates of daily weather parameters for North America and Hawaii: including Canada, Mexico, the United States of America, Puerto Rico, and Bermuda. The island areas of Hawaii and Puerto Rico are available as files separate from the continental land mass. Daymet output variables include the following parameters: minimum temperature, maximum temperature, precipitation, shortwave radiation, vapor pressure, snow water equivalent, and day length. The data set covers the period from January 1, 1980 to December 31 of the most recent full calendar year. Each subsequent year is processed individually at the close of a calendar year. Daymet variables are...
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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...
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This dataset was created using the PRISM (Parameter-elevation Regressions on Independent Slopes Model) climate mapping system, developed by Dr. Christopher Daly, PRISM Climate Group director. PRISM is a unique knowledge-based system that uses point measurements of precipitation, temperature, and other climatic factors to produce continuous, digital grid estimates of monthly, yearly, and event-based climatic parameters. Continuously updated, this unique analytical tool incorporates point data, a digital elevation model, and expert knowledge of complex climatic extremes, including rain shadows, coastal effects, and temperature inversions. PRISM data sets are recognized world-wide as the highest-quality spatial climate...
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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 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...
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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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TR-33: Maps are presented showing the areal distribution in the contiguous 48 states of evaporation (1) observed from Class A pans from from May through October, (2) estimated for a free water surface (FWS) and (3) estimated for an FWS for the entire year. A map is presented of the coefficients to convert from pan evaporation to FWS evaporation. Sources of data, analyses of the maps, and limitation on their use are described. TR-34: This publication is a compilation of monthly, seasonal, and annual averages of estimated pan evaporation based on observations from Class A pans and on meteorological measurements by the National Weather Service (NWS) and cooperating agencies. It replace Technical Paper No. 13 (U.S....


map background search result map search result map Daily Statistically Downscaled Climate Projections for the US and southern Canada east of the Rocky Mountains. 4km Monthly Parameter-elevation Regressions on Independent Slopes Model Monthly Climate Data for the Continental United States. Mean Monthly Evaporation Atlas for the Contiguous 48 United States (1956-1970) Sea Level Rise Projections for DSL-SAMBI TopoWx: Topoclimatic Daily Air Temperature Dataset for the Conterminous United States Western US Hydroclimate Scenarios Project Observations and Statistically Downscaled Data Sagebrush MW5k Percent Projected Future LOCA Statistical Downscaling (Localized Constructed Analogs) Statistically downscaled CMIP5 climate projections for North America Statistically downscaled estimates of precipitation and temperature for the Red River basin (South Central U.S.A) Downscaled Future Projections Sea Level Rise Projections for DSL-SAMBI Western US Hydroclimate Scenarios Project Observations and Statistically Downscaled Data TopoWx: Topoclimatic Daily Air Temperature Dataset for the Conterminous United States Gridded Observed Meteorological Data: 1949-2010 Gridded Observed Meteorological Data, 1950-1999 Columbia River Basin Daily MACA-VIC Results Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 3 Multivariate Adaptive Constructed Analogs (MACA) CMIP5 Statistically Downscaled Data for Coterminous USA Projected Future LOCA Statistical Downscaling (Localized Constructed Analogs) Statistically downscaled CMIP5 climate projections for North America Mean Monthly Evaporation Atlas for the Contiguous 48 United States (1956-1970) At-risk species distribution analyzer for predicting trends Sea Level Rise Projections for DSL-SAMBI Sea Level Rise Projections for DSL-SAMBI Columbia River Basin Daily MACA-VIC Results Statistically downscaled estimates of precipitation and temperature for the Red River basin (South Central U.S.A) Downscaled Future Projections Western US Hydroclimate Scenarios Project Observations and Statistically Downscaled Data Western US Hydroclimate Scenarios Project Observations and Statistically Downscaled Data Sagebrush MW5k Percent At-risk species distribution analyzer for predicting trends Multivariate Adaptive Constructed Analogs (MACA) CMIP5 Statistically Downscaled Data for Coterminous USA Daily Statistically Downscaled Climate Projections for the US and southern Canada east of the Rocky Mountains. Mean Monthly Evaporation Atlas for the Contiguous 48 United States (1956-1970) Mean Monthly Evaporation Atlas for the Contiguous 48 United States (1956-1970) 4km Monthly Parameter-elevation Regressions on Independent Slopes Model Monthly Climate Data for the Continental United States. TopoWx: Topoclimatic Daily Air Temperature Dataset for the Conterminous United States TopoWx: Topoclimatic Daily Air Temperature Dataset for the Conterminous United States Gridded Observed Meteorological Data, 1950-1999 Gridded Observed Meteorological Data: 1949-2010 Projected Future LOCA Statistical Downscaling (Localized Constructed Analogs) Statistically downscaled CMIP5 climate projections for North America Projected Future LOCA Statistical Downscaling (Localized Constructed Analogs) Statistically downscaled CMIP5 climate projections for North America Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 3