Filters: Contacts: Samuel W. Saxe (X) > partyWithName: Central Midwest Water Science Center (X)
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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...
Categories: Data;
Tags: Hydrology,
Mean squared error,
Model evaluation,
Streamflow prediction,
USGS Science Data Catalog (SDC),
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