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Roland Viger

The output data in this collection is essentialy identical to that in version 1.0, but is more formally packaged. It includes reference to source data sets and software used to derived the output. Input data include two routing parameters from the NHM archive ("paramdb") of PRMS parameters: hru_segment_nhm and tosegment_nhm. hru_segment_nhm defines the stream segment to which the fluxes from each HRU arrives. tosegment_nhm defines the next downstream segment in the Geospatial Fabric. The values for both of these parameters reflect the national stream segment identifiers (as opposed to region-specific equivalents, hru_segment and tosegment). The software is provided in order to allow regeneration of the headwater...
The overall objective of the MoWS research group is to gain better understanding of the precipitation-runoff processes and use this knowledge to develop improved hydrologic models. The main research topics include: • Add functionality and improvements to the MoWS simulation models being developed and integrate with other hydrologic, hydraulic, and climate models. • Enhance the models to use the best and latest topographic, climate, geologic, and land-use data sets as direct input to process algorithms to increase the physical nature and temporal and spatial resolution of model input. • Develop national model structure and calibration strategy for national model application.
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This data release contains the standard statistical suite (version 1.0) daily streamflow performance benchmark results for the National Water Model Retrospective (v2.1) at streamflow benchmark locations defined by Foks and others (2022). Modeled hourly timesteps were converted to mean daily timesteps. Model error was determined by evaluating predicted daily mean streamflow versus observed daily mean streamflow using various statistics; the Nash-Sutcliffe efficiency (NSE), the Kling-Gupta efficiency (KGE), the logNSE, the Pearson correlation coefficient, the Spearman correlation coefficient, the ratio of the standard deviation, the percent bias, the percent bias in flow duration curve midsegment slope, the percent...
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Assessing the Drivers of Water Availability for Historic and Future Conditions in the South Central U.S.
Understanding the changes in the distribution and quantity of, and demand for, water resources in response to a changing climate is essential to planning for, and adapting to, future climatic conditions. In order to plan for future conditions and challenges, it is crucial that managers understand the limitations and uncertainties associated with the characterization of these changes when making management decisions. Changes in consumptive water use (water removed without return to a water resources system) will change streamflow, impacting downstream water users, their livelihoods, as well as aquatic ecosystems. Historical changes in available water may be attributed to changes in precipitation; but these changes...
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