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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...
This data set serves to archive the data, analysis and models of the associated publication entitled “Calibration of the USGS National Hydrologic Model in Ungauged Basins Using Statistical At-Site Streamflow Simulations” as published in the Journal of Hydrologic Engineering. The input data files included here as comma-separated values contain measured streamflow, streamflow simulated by the Precipitation-Runoff Modeling System calibrated to measured streamflow, streamflow simulated by the Precipitation-Runoff Modeling System calibrated to streamflow simulated by pooled ordinary kriging, and streamflow simulated by pooled ordinary kriging at 1,410 streamgage locations across the United States. These data sets, built...
Categories: Data;
Tags: USGS Science Data Catalog (SDC),
United States,
Water Resources,
streamflow simulation
This data release contains inputs for and outputs from hydrologic simulations of the southeastern U.S. using the Monthly Water Balance Model, the Precipitation Runoff Modeling System (PRMS), and statistically-based methods. These simulations were developed to provide estimates of water availability and statistics of streamflow for historical and potential future conditions for an area of approximately 1.16 million square miles. These model input and output data are intended to accompany a U.S. Geological Survey Scientific Investigations Report (LaFontaine and others, 2019); they include four types of data: 1) model input parameters, 2) model output statistics, 3) GIS files of the model hydrologic response units...
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