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Parameter values for the Precipitation Runoff Modeling System (PRMS) using the National Hydrologic Modeling (NHM) infrastructure. The contents of the attached zip folder are a direct download from the USGS bitbucket repository titled National Hydrologic Model Parameter Database (NhmParamDb) (https://my.usgs.gov/bitbucket/projects/MOWS/repos/nhmparamdb/browse). The NhmParamDb is stored using a Git version control system, which tracks modifications to the master dataset through 'commits'. Each commit has a unique code to allow for retroactive identification of any given component of the repository. The specific attributes of the download contained in this release are: Date: May 8, 2017 Commit: 6ccc41d5688 Filename:...
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The large, highly glacierized Copper River basin is an important water resource for the south‐central region of Alaska. Thus, information is needed on the reaction of its hydrologic timing and streamflow volumes to historical changes in climate, in order to assess the possible impact of future changes. However, the basin is remote, and therefore, it has proved difficult to collect field data in a frequent temporal and spatial manner. An extension of the distributed‐parameter, physical‐process code Precipitation Runoff Modeling System, PRMSglacier, has been specifically developed to simulate daily hydrology without requiring extensive input data. In this study, PRMSglacier was used to characterize the hydrology of...
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This study quantitatively explores whether land cover changes have a substantive impact on simulated streamflow within the tropical island setting of Puerto Rico. The Precipitation Runoff Modeling System (PRMS) was used to compare streamflow simulations based on five static parameterizations of land cover with those based on dynamically varying parameters derived from four land cover scenes for the period 1953-2012. The PRMS simulations based on static land cover illustrated consistent differences in simulated streamflow across the island. It was determined that the scale of the analysis makes a difference: large regions with localized areas that have undergone dramatic land cover change may show negligible difference...
Categories: Data,
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Types: Citation,
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OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Conservation NGOs,
Conservation planning,
Federal resource managers,
Informing Conservation Delivery,
Interested public, All tags...
LCC Network Science Catalog,
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This data release contains the D-score (version 0.1) daily streamflow performance benchmark results for the National Water Model (NWM) Retrospective version 2.1 computed at streamgage benchmark locations (version 1) as defined by Foks and others (2022). Model error was determined by evaluating predicted daily mean streamflow (aggregated from an hourly timestep) versus observed daily mean streamflow. Using those errors, the D-score performance benchmark computes the mean squared logarithmic error (MSLE), then decomposes the overall MSLE into orthogonal components such as bias, distribution, and sequence (Hodson and others, 2021). For easier interpretation, the MSLE components can be passed through a scoring function...
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