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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
CRS,
California,
Climate,
Colorado,
Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
CRS,
California,
Climate,
Colorado,
Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
CRS,
California,
Climate,
Colorado,
Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
CRS,
California,
Climate,
Colorado,
Raster dataset showing saturated thickness (in feet) of the alluvium in the Lower Arkansas River Valley, Southeast Colorado, June 1 - November 30, 2015 (hereafter defined as "fall"). Saturated thickness values based on water levels measured in the study area and median lake level at John Martin Reservoir during this time period. Surface interpolations for water-table altitude were done using Inverse Distance Weighting using coordinate and altitude data from "Wells and water-level altitude in the alluvium in the Lower Arkansas River Valley, Southeast Colorado, Spring and Fall 2002, 2008, and 2015" (see cross reference section in metadata), and surface interpolation of bedrock was done using Topo to Raster using elevation...
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arkansas River,
Bent County,
Crowley County,
Groundwater Level,
Hydrogeology,
Raster showing change in water-table altitude between Spring of 2008 and Spring of 2015 in the alluvium in the Lower Arkansas River Valley, Southeast Colorado. Hereafter "spring" is defined as the periods of January 1 to May 31, and December 1 to December 31. All interpolation and geoprocessing was done using ArcGIS Desktop v10 (Environmental Systems Research Institute, 2011).
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arkansas River,
Bent County,
Crowley County,
Otero County,
Prowers County,
Raster dataset showing saturated thickness (in feet) of the alluvium in the Lower Arkansas River Valley, Southeast Colorado, January 1 - May 31, 2008 and December 1 - 31, 2008 (hereafter defined as "spring"). Saturated thickness values based on water levels measured in the study area and median lake level at John Martin Reservoir during this time period. Surface interpolations for water-table altitude were done using Inverse Distance Weighting using coordinate and altitude data from "Wells and water-level altitude in the alluvium in the Lower Arkansas River Valley, Southeast Colorado, Spring and Fall 2002, 2008, and 2015" (see cross reference section in metadata), and surface interpolation of bedrock was done using...
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arkansas River,
Bent County,
Crowley County,
Groundwater Level,
Hydrogeology,
4 aerial photographs were taken along the Little Missouri River in 1982. All images were geo-referenced to the 1995 digital orthophoto quarter quadrangles as described by Miller and Friedman (2009). Both the flood plain and active channel of the river were delineated on the 1995 digital orthophoto quadrangles and overlaid on rectified photos. ArcGIS was used to draw the polygons that delineate the flood plain and active channel; the delineation was saved as a SHP file. The separate images (geoTIFFs) can be viewed as a composite along with that year's channel delineation (SHP file) using a geographic information system (GIS) application. Reference: Miller, J.R., and J.M. Friedman. 2009. Influence of flow variability...
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Raster,
Shapefile;
Tags: Central US,
Little Missouri River,
McKenzie County,
ND,
North Dakota,
Separate data for floodplain elevation and bathymetry were collected on the Upper Mississippi River System (UMRS) by the US Army Corps of Engineers (USACE), Upper Mississippi River Restoration (UMRR) program. While many information needs can be met by using these data separately, in many cases seamless elevation data across the river and its floodplain are needed. This seamless elevation surface was generated by merging lidar (i.e., floodplain elevation) and bathymetry data. Merging the data required special processing in the areas of transition between the two sources of data.
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Illinois,
Iowa,
Mississippi River,
Navigational Pool 18,
Upper Mississippi River,
Separate data for floodplain elevation and bathymetry were collected on the Upper Mississippi River System (UMRS) by the US Army Corps of Engineers (USACE), Upper Mississippi River Restoration (UMRR) program. While many information needs can be met by using these data separately, in many cases seamless elevation data across the river and its floodplain are needed. This seamless elevation surface was generated by merging lidar (i.e., floodplain elevation) and bathymetry data. Merging the data required special processing in the areas of transition between the two sources of data.
Categories: Data,
Publication;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Iowa,
Minnesota,
Mississippi River,
Navigation Pool 03,
Navigational Pool 09,
Separate data for floodplain elevation and bathymetry were collected on the Upper Mississippi River System (UMRS) by the US Army Corps of Engineers (USACE), Upper Mississippi River Restoration (UMRR) program. While many information needs can be met by using these data separately, in many cases seamless elevation data across the river and its floodplain are needed. This seamless elevation surface was generated by merging lidar (i.e., floodplain elevation) and bathymetry data. Merging the data required special processing in the areas of transition between the two sources of data.
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Iowa,
Mississippi River,
Navigational Pool 10,
Upper Mississippi River,
Wisconsin,
Separate data for floodplain elevation and bathymetry were collected on the Upper Mississippi River System (UMRS) by the US Army Corps of Engineers (USACE), Upper Mississippi River Restoration (UMRR) program. While many information needs can be met by using these data separately, in many cases seamless elevation data across the river and its floodplain are needed. This seamless elevation surface was generated by merging lidar (i.e., floodplain elevation) and bathymetry data. Merging the data required special processing in the areas of transition between the two sources of data.
Categories: Data,
Publication;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Minnesota,
Mississippi River,
Navigation Pool 03,
Navigational Pool 05,
Upper Mississippi River,
This part of DS 781 presents the seafloor-character map of Monterey Canyon and Vicinity, California. The raster data file is included in "SeafloorCharacter_2m_MontereyCanyon.zip," which is accessible from https://doi.org/10.3133/ds781. These data accompany the pamphlet and map sheets of Dartnell, P., Maier, K.L., Erdey, M.D., Dieter, B.E., Golden, N.E., Johnson, S.Y., Hartwell, S.R., Cochrane, G.R., Ritchie, A.C., Finlayson, D.P., Kvitek, R.G., Sliter, R.W., Greene, H.G., Davenport, C.W., Endris, C.A., and Krigsman, L.M. (P. Dartnell and S.A. Cochran, eds.), 2016, California State Waters Map Series—Monterey Canyon and Vicinity, California: U.S. Geological Survey Open-File Report 2016–1072, 48 p., 10 sheets, scale...
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Acoustic Reflectivity,
Bathymetry,
CMGP,
Coastal and Marine Geology Program,
Continental/Island Shelf,
This part of DS 781 presents data for the acoustic-backscatter map of Monterey Canyon and Vicinity map area, California. Backscatter data are provided as separate grids depending on mapping system and processing method. These metadata describe acoustic-backscatter data collected and processed by the U.S. Geological Survey. The raster data files are included in "BackscatterA_USGS_SWATH_MontereyCanyon.zip," which is accessible from https://doi.org/10.3133/ds781. These data accompany the pamphlet and map sheets of Dartnell, P., Maier, K.L., Erdey, M.D., Dieter, B.E., Golden, N.E., Johnson, S.Y., Hartwell, S.R., Cochrane, G.R., Ritchie, A.C., Finlayson, D.P., Kvitek, R.G., Sliter, R.W., Greene, H.G., Davenport, C.W.,...
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Acoustic Reflectivity,
CMGP,
Coastal and Marine Geology Program,
Continental/Island Shelf,
Marine Nearshore Subtidal,
Orthorectified image from aerial photograph of wetlands T3, T4, T5, and T6 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.
Orthorectified image from aerial photograph of wetland P1 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.
Orthorectified image from aerial photograph of wetland P2 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.
Orthorectified image from aerial photograph of wetland P6 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.
Orthorectified image from aerial photograph of wetland T2 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.
Orthorectified image from aerial photograph of wetland P2 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.
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