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This dataset contains the predicted probability of occurrence for modeled distributions of rainbow trout.
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This dataset contains the predicted probability of occurrence for modeled distributions of gizzard shad.
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This dataset contains the predicted probability of occurrence for modeled distributions of bonytail chub.
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This dataset contains the predicted probability of occurrence for modeled distributions of brook stickleback.
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These data are derived from the Basin Characterization Model (BCM) and used as input to a total dissolved solids SPARROW model for the Upper Colorado River Basin. The BCM mechanistically models the pathways of precipitation into evapotranspiration, infiltration into soils, runoff, or percolation below the root zone to recharge groundwater (Flint and others, 2013). The dataset is composed of twelve, 270-meter resolution raster layers representing mean total annual values for water years 1985 - 2012 of actual evapotranspiration (aet), climatic water deficit (cwd), excess water (exc), snowmelt (mlt), snowpack (pck), potential evapotranspiration (pet), precipitation (ppt), recharge (rch), runoff (run), sublimation (sbl),...
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Our objective was to model intermittency (perennial, weakly intermittent, or strongly intermittent) on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate.We used a random forest modeling approach to model the relation between intermittency on gaged streams (115 gages) and environmental variables. We then projected intermittency status to ungaged reaches in the Upper Colorado...
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Our objective was to model minimum flow coefficient of variation (CV) on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate. We used a random forest modeling approach to model the relation between minimum flow CV (the standard deviation of annual minimum flows times 100 divided by the mean of annual minimum flows) on gaged streams (115 gages) and environmental variables....
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The Roaring Fork Watershed, located in the Rocky Mountains 150 miles west of Denver, Colorado, has seen rapid development and population growth in recent years. Water-quality data for the Roaring Fork Watershed have been gathered together so that interested citizens can evaluate historical changes and current quality of stream water and well water within the watershed.
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This dataset contains the predicted probability of occurrence for modeled distributions of mountain whitefish.
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This dataset contains the predicted probability of occurrence for modeled distributions of redside shiner.
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Our objective was to model intermittency (perennial, weakly intermittent, or strongly intermittent) on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate.We used a random forest modeling approach to model the relation between intermittency on gaged streams (115 gages) and environmental variables. We then projected intermittency status to ungaged reaches in the Upper Colorado...
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Our objective was to model frequency of low-pulse events on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate. We used a random forest modeling approach to model the relation between frequency of low-pulse events on gaged streams (115 gages) and environmental variables. We then projected frequency of low-pulse events to ungaged reaches in the Upper Colorado River Basin...
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The raster datasets in this release are maps of soil surface properties that were used in analyzing different approaches for digital soil mapping. They include maps of soil pH, electrical conductivity, soil organic matter, and soil summed fine and very fine sand contents that were created using both 2D and 3D modeling strategies. For each property a map was created using both 2D and 3D approaches to compare the mapped results.


map background search result map search result map Roaring Fork Water-Quality Data Brook Stickleback Predicted Probability of Distribution Gizzard Shad Predicted Probability of Distribution Bonytail Chub Predicted Probability of Distribution Rainbow Trout Predicted Probability of Distribution Mountain Whitefish Predicted Probability of Distribution Redside Shiner Predicted Probability of Distribution Predicted intermittency of small streams in the Upper Colorado River Basin based on historic flow data Predicted intermittency Predicted frequency of low-flow pulse events Predicted minimum flow coefficient of variation Selected Basin Characterization Model Parameters for the Upper Colorado River Basin Predictive maps of 2D and 3D surface soil properties and associated uncertainty for the Upper Colorado River Basin, USA Roaring Fork Water-Quality Data Brook Stickleback Predicted Probability of Distribution Gizzard Shad Predicted Probability of Distribution Bonytail Chub Predicted Probability of Distribution Rainbow Trout Predicted Probability of Distribution Mountain Whitefish Predicted Probability of Distribution Redside Shiner Predicted Probability of Distribution Selected Basin Characterization Model Parameters for the Upper Colorado River Basin Predicted intermittency Predicted frequency of low-flow pulse events Predicted minimum flow coefficient of variation Predicted intermittency of small streams in the Upper Colorado River Basin based on historic flow data Predictive maps of 2D and 3D surface soil properties and associated uncertainty for the Upper Colorado River Basin, USA