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This dataset describes irrigation water use in Kansas in 2015. Volumes of water used, irrigated area, and average irrigation application depths are provided for three sets of subareas: (1) Irrigation water use analysis regions that include Groundwater Management Districts (GMDs) with the areas outside of GMDs divided into eastern, central, and western Kansas; (2) Regional Planning Areas (RPAs), which are 14 areas determined by the Kansas Water Office based on hydrologic and administrative boundaries, each with a set of goals outlined in the Kansas Water Vision (https://kwo.ks.gov/water-plan/water-vision); and (3) the 105 Kansas counties. Volumes of water used, irrigated area, and average application depths are also...
Abstract: The data in this data series represent a set of multi-band rasters, each containing 20 bioclimatic variables for the continental United States for the years 1895 - 2008.Staff at the U.S. Geological Survey, Fort Collins Science Center developed these raster layers using 4-km time series data developed by the PRISM Climate Group at Oregon State University. The original climate data for these rasters came from multiple climate station point measurements. Using these station measurements, the PRISM group produced interpolated climate grids which became the inputs in the algorithm used by the USGS to derive the bioclimatic variables. The values within each raster band were produced using an algorithmic...
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This dataset represents the average annual precipitation for each HUC5 watershed, simulated by the model MC1 for the 30-year period 1971-2000. Mean annual precipitation (in mm H2O yr-1), was determined for each HUC5 watershed by averaging values of original ~ 4 km raster data. Watersheds represent 5th level (HUC5, 10-digit) hydrologic unit boundaries and were acquired from the Natural Resources Conservation Service. Background: The dynamic global vegetation model MC1 (see Bachelet et al.2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget, and wild fire impacts for OR, WA, AZ and NM, for a project funded by the USDA Forest Service (PNW09-JV-11261900-003). The MC1...
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This set of 4 rasters shows mean annual precipitation (mm) for Western North America under the A2 Emissions Scenario from the Intergovernmental Panel on Climate Change (IPCC). One layer shows the historic period (1961 to 1990), and there are three layers of future climate projections representing the 2020s, the 2050s, and the 2080s. These future layers are ensemble averages across all 23 CMIP3 AOGCMs (Coupled Model Intercomparison Project 3 Atmosphere-Ocean General Circulation Models). All layers have a resolution of 1 km, and are designed to capture climate gradients, temperature inversions, and rain shadows in the mountainous landscape of western North America.
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This dataset represents the average annual precipitation for each HUC5 watershed, simulated by the model MC1 for the 30-year period 1971-2000. Mean annual precipitation (in mm H2O yr-1), was determined for each HUC5 watershed by averaging values of original ~ 4 km raster data. Watersheds represent 5th level (HUC5, 10-digit) hydrologic unit boundaries and were acquired from the Natural Resources Conservation Service. Background: The dynamic global vegetation model MC1 (see Bachelet et al.2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget, and wild fire impacts for OR, WA, AZ and NM, for a project funded by the USDA Forest Service (PNW09-JV-11261900-003). The MC1...
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This U.S. Geological Survey (USGS) Data Release represents geospatial and tabular data on irrigation water use in Kansas. The data release was produced in compliance with open data requirements. The dataset consists of 3 separate items with similar attributes aggregated to different geographic extents: 1. Kansas counties; 2. Kansas regional planning areas used in the Kansas Water Plan; and 3. Kansas irrigation water-use analysis regions. Reported 2014 water withdrawn for irrigation, acres irrigated, and application rates along with the published application rate statistics from the previous 4 years (2010–13) are shown with the 2014 statistics and are used to calculate a 5-year average. The 2014 annual total...
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This set of 4 rasters shows mean annual precipitation (mm) for Western North America under the A1B Emissions Scenario from the Intergovernmental Panel on Climate Change (IPCC). One layer shows the historic period (1961 to 1990), and there are three layers of future climate projections representing the 2020s, the 2050s, and the 2080s. These future layers are ensemble averages across all 23 CMIP3 AOGCMs (Coupled Model Intercomparison Project 3 Atmosphere-Ocean General Circulation Models). All layers have a resolution of 1 km, and are designed to capture climate gradients, temperature inversions, and rain shadows in the mountainous landscape of western North America.
Abstract: This data set represents a multi-band raster containing 20 bioclimatic variables for the continental United States for the years 1971-2000. Staff at the U.S. Geological Survey, Fort Collins Science Center developed these raster layers using 800 m normals data developed by the PRISM Climate Group at Oregon State University. The original climate data for this raster came from multiple climate station point measurements. Using these station measurements, the PRISM group produced interpolated climate grids which became the inputs in the algorithm used by the USGS to derive the bioclimatic variables. The values within each raster band were produced using an algorithmic calculation that is performed on a cell-by-cell...
Abstract: The data in this data series represent a set of multi-band rasters, each containing 20 bioclimatic variables for the continental United States for the years 1980 - 2009. Staff at the U.S. Geological Survey, Fort Collins Science Center developed these raster layers using 2-km time series data created by Climate Source, Inc. and Spatial Climate Analysis Service (SCAS) at Oregon State University. The original climate data for these rasters came from multiple climate station point measurements. Using these station measurements, Climate Source/SCAS produced interpolated climate grids which became the inputs in the algorithm used by the USGS to derive the bioclimatic variables. The values within each raster...
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This set of 4 rasters shows mean annual precipitation (mm) for Western North America under the A1B Emissions Scenario from the Intergovernmental Panel on Climate Change (IPCC). One layer shows the historic period (1961 to 1990), and there are three layers of future climate projections representing the 2020s, the 2050s, and the 2080s. These future layers are ensemble averages across all 23 CMIP3 AOGCMs (Coupled Model Intercomparison Project 3 Atmosphere-Ocean General Circulation Models). All layers have a resolution of 1 km, and are designed to capture climate gradients, temperature inversions, and rain shadows in the mountainous landscape of western North America. These data, originally published here, were converted...
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This dataset contains RegCM3 Climate Change modeled annual precipitation (mm) data for the Northwest Plains Ecoregion. This dataset represents the change in precipitation between the current and future climate scenarios (1980-1999 and 2050-2069). These data differ from the ann_dngp_rt only in that the data were masked as described in the REA report. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. The User is encouraged to carefully consider the content of the metadata file associated with...
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This U.S. Geological Survey (USGS) Data Release provides derivative county-level statistics of water used by Kansas irrigators in 2014. The published county-level application rate statistics from the previous 4 years (2010–13) are shown with the 2014 statistics and are used to calculate a 5-year average. The 2014 annual total precipitation and the current 30-year climatic normal (based on 1981–2010) are also shown by county. Other data published in this data release include the amount of water used, irrigated acres, and application rates by crop type and the amount of water used and number of irrigated acres for each irrigation method. Total reported irrigation water use in 2014 was 3.3 million acre-feet of water...
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This dataset represents the average annual precipitation for each HUC5 watershed, simulated by the model MC1 for the 30-year period 1971-2000. Mean annual precipitation (in mm H2O yr-1), was determined for each HUC5 watershed by averaging values of original ~ 4 km raster data. Watersheds represent 5th level (HUC5, 10-digit) hydrologic unit boundaries and were acquired from the Natural Resources Conservation Service. Background: The dynamic global vegetation model MC1 (see Bachelet et al.2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget, and wild fire impacts for OR, WA, AZ and NM, for a project funded by the USDA Forest Service (PNW09-JV-11261900-003). The MC1 model...
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This U.S. Geological Survey (USGS) Data Release provides derivative 2014 statistics of water used by Kansas irrigators in the 14 regional planning areas used in the Kansas Water Plan. The published application rate from 2013 is shown with the 2014 statistics. A 5-year average will be calculated with 2017 data. The 2014 annual total precipitation and the current 30-year climatic normal (based on 1981–2010) are also shown by regional planning area.
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This set of 4 rasters shows mean annual precipitation (mm) for Western North America under the B1 Emissions Scenario from the Intergovernmental Panel on Climate Change (IPCC). One layer shows the historic period (1961 to 1990), and there are three layers of future climate projections representing the 2020s, the 2050s, and the 2080s. These future layers are ensemble averages across all 23 CMIP3 AOGCMs (Coupled Model Intercomparison Project 3 Atmosphere-Ocean General Circulation Models). All layers have a resolution of 1 km, and are designed to capture climate gradients, temperature inversions, and rain shadows in the mountainous landscape of western North America. These data, originally published here, were converted...
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Percent change in the average annual precipitation for each HUC5 watershed between historical (1971-2000) and future (2071-2100) time periods. The MC1 dynamic vegetation model was run under the CSIRO, MIROC, and Hadley climate change projections and the A2 anthropogenic emissions scenario. Simulated mean annual precipitation (in mm H2O yr-1), was determined for each HUC5 watershed by averaging values of original ~ 4 km raster data. Watersheds represent 5th level (HUC5, 10-digit) hydrologic unit boundaries and were acquired from the Natural Resources Conservation Service. Background: The dynamic global vegetation model MC1 (see Bachelet et al. 2001) was used to simulate vegetation dynamics, associated carbon and...
Abstract: This data set represents a multi-band raster containing 20 bioclimatic variables for the continental United States for the averaged climate years 1971-2000. Staff at the U.S. Geological Survey, Fort Collins Science Center developed these raster layers using 400 m climate normals data created by Climate Source, Inc. and Spatial Climate Analysis Service (SCAS) at Oregon State University. The original climate data for this raster came from multiple climate station point measurements. Using these station measurements, Climate Source/SCAS produced interpolated climate grids which became the inputs in the algorithm used by the USGS to derive the bioclimatic variables. The values within each raster band were...
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This set of 4 rasters shows mean annual precipitation (mm) for Western North America under the A2 Emissions Scenario from the Intergovernmental Panel on Climate Change (IPCC). One layer shows the historic period (1961 to 1990), and there are three layers of future climate projections representing the 2020s, the 2050s, and the 2080s. These future layers are ensemble averages across all 23 CMIP3 AOGCMs (Coupled Model Intercomparison Project 3 Atmosphere-Ocean General Circulation Models). All layers have a resolution of 1 km, and are designed to capture climate gradients, temperature inversions, and rain shadows in the mountainous landscape of western North America. These data, originally published here, were converted...
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This set of 4 rasters shows mean annual precipitation (mm) for Western North America under the B1 Emissions Scenario from the Intergovernmental Panel on Climate Change (IPCC). One layer shows the historic period (1961 to 1990), and there are three layers of future climate projections representing the 2020s, the 2050s, and the 2080s. These future layers are ensemble averages across all 23 CMIP3 AOGCMs (Coupled Model Intercomparison Project 3 Atmosphere-Ocean General Circulation Models). All layers have a resolution of 1 km, and are designed to capture climate gradients, temperature inversions, and rain shadows in the mountainous landscape of western North America.


map background search result map search result map Montana Average Annual Precipitation, 1961-1990 Simulated historical annual precipitation (1971-2000) for OR and WA, USA Mean Annual Precipitation under the A2 Emissions Scenario (Western North America, 23 AOGCM Ensemble) Mean Annual Precipitation under the A1B Emissions Scenario (Western North America, 23 AOGCM Ensemble) Mean Annual Precipitation under the B1 Emissions Scenario (Western North America, 23 AOGCM Ensemble) Mean Annual Precipitation under the A2 Emissions Scenario (Western North America, 23 AOGCM Ensemble) Mean Annual Precipitation under the A1B Emissions Scenario (Western North America, 23 AOGCM Ensemble) Mean Annual Precipitation under the B1 Emissions Scenario (Western North America, 23 AOGCM Ensemble) Simulated historical annual precipitation (1971-2000) for AZ and NM, USA Simulated percent change in annual precipitation between historical and future time periods under three climate change projections for OR and WA, USA Simulated historical annual precipitation (1971-2000) for OR and WA, USA Irrigation water use in Kansas, 2014 Reported 2014 water withdrawn for irrigation, acres irrigated, and application rates in Kansas counties (spatial and tabular data). Reported 2014 water withdrawn for irrigation, acres irrigated, and application rates in Kansas regional planning areas used in the Kansas Water Plan (spatial and tabular data). Irrigation water use in Kansas, 2015 BLM REA NWP 2011 Current (1980-1999) and Future (2050-2069) Total Annual Precipitation Irrigation water use in Kansas, 2014 Irrigation water use in Kansas, 2015 Reported 2014 water withdrawn for irrigation, acres irrigated, and application rates in Kansas counties (spatial and tabular data). Reported 2014 water withdrawn for irrigation, acres irrigated, and application rates in Kansas regional planning areas used in the Kansas Water Plan (spatial and tabular data). Montana Average Annual Precipitation, 1961-1990 Simulated historical annual precipitation (1971-2000) for AZ and NM, USA Simulated historical annual precipitation (1971-2000) for OR and WA, USA Simulated percent change in annual precipitation between historical and future time periods under three climate change projections for OR and WA, USA Simulated historical annual precipitation (1971-2000) for OR and WA, USA BLM REA NWP 2011 Current (1980-1999) and Future (2050-2069) Total Annual Precipitation Mean Annual Precipitation under the A2 Emissions Scenario (Western North America, 23 AOGCM Ensemble) Mean Annual Precipitation under the A1B Emissions Scenario (Western North America, 23 AOGCM Ensemble) Mean Annual Precipitation under the B1 Emissions Scenario (Western North America, 23 AOGCM Ensemble) Mean Annual Precipitation under the A2 Emissions Scenario (Western North America, 23 AOGCM Ensemble) Mean Annual Precipitation under the A1B Emissions Scenario (Western North America, 23 AOGCM Ensemble) Mean Annual Precipitation under the B1 Emissions Scenario (Western North America, 23 AOGCM Ensemble)