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Folders: ROOT > ScienceBase Catalog > USGS Colorado Water Science Center > Monthly Water Balance Model Futures ( Show all descendants )

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This dataset consists of time series and evaluation metrics (in comma-separated value format [.csv]) which are described in the Bock and others (2018) Advances in Water Resources research article “Quantifying uncertainty in simulated streamflow and runoff from a continental-scale monthly water balance model.” In this paper, uncertainty was quantified in simulated monthly runoff produced by a monthly water balance model for gaged and ungaged locations across the conterminous United States. The compressed folder UI_byGage.zip contains two files. The file UI_byGage.csv contains the monthly time-step uncertainty intervals and measured and simulated time series of streamflow developed at 1,575 streamgages across the...
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This dataset includes nine files (in comma-separated value format [.csv]) which contain metrics that are described in the Bock and others 2018 Earth Interactions article “Do downscaled general circulation models reliably simulate historical climatic conditions?” Three files contain p-values from the two-sided Kolmogorov-Smirnov Test that compared distributions of three variables (precipitation [CONUS_KS_PPT.csv], temperature [CONUS_KS_TAVE.csv], and runoff [CONUS_KS_RUN.csv]) derived from statistically-downscaled general circulation models (SD GCM) with distributions of the three variables derived from gridded station data (GSD) for historical conditions (1950 through 2005). Three files contain the x-axis value...


    map background search result map search result map Do downscaled general circulation models reliably simulate historical climatic conditions? Uncertainty Intervals and Evaluation Metrics for Simulated Streamflow and Runoff from a Continental-Scale Monthly Water Balance Model Uncertainty Intervals and Evaluation Metrics for Simulated Streamflow and Runoff from a Continental-Scale Monthly Water Balance Model Do downscaled general circulation models reliably simulate historical climatic conditions?