ABSTRACT:

This resource contains a polyline shapefile of all Utah Streams. The associated data was pulled from the Utah GIS portal.

ABSTRACT:

This HydroShare resource contains all datasets, reproducible workflows, and Python/Jupyter Notebook scripts used in the manuscript “How Well Do U.S. National Water Model Short-Range Forecasts Predict Flood Event Timing and Magnitude?” (Maghami et al., 2025; under revision). The study evaluates the U.S. National Water Model (NWM) v2.1 short-range (0–18 hr) forecasts for 306 USGS stream gauges across 16 study areas in the continental United States, covering flood events occurring between April 2021 and September 2023.

The resource provides a complete end-to-end reproducible pipeline, including:

- identification and selection of USGS gauges and flood peaks,
- watershed delineation and integration of land-cover, climate-zone, regulation status, stream order, and drainage-area attributes,
- gauge-to-COMID matching using NHDPlus V2.1,
- extraction of short-range NWM forecasts and return-period estimates via the NWM BigQuery API,
- quality-control screening of USGS observations,
- multi-event flood selection using consistent peak-based criteria, and
- computation of evaluation metrics (scaled KGE, time-to-peak bias, peak-discharge ratio, and flow-volume ratio) across 18 lead times.

The workflows also generate the hydrographs, performance plots, and stratified analyses used in the manuscript (by return period, climate zone, imperviousness, stream order, and regulation status). The notebooks (JN1–JN10) and directory structure are fully documented to support transparency and reproducibility.

A README file is included with instructions for running each workflow, required software environments, and detailed descriptions of all input and output files. This resource will be made public upon manuscript acceptance and assigned a DOI to support citation, reproducibility, and long-term accessibility.

ABSTRACT:

This data is USGS streamflow data collected from the USGS gage 14162500 on the Mckenzie River in Oregon just east of Eugene, Oregon near Vida, OR and National Water Model forecast data. The data is listed in both cms and cfs. The data is being used in an ongoing study to develop a machine learning model to predict streamflow using National Water Model (NWM) forecasts in conjunction with USGS observed streamflow values to be able to predict streamflow and understand bias correction for NWM.

ABSTRACT:

Testing the functionality of web mapping services. We are adding a shapefile to visualize them and interact with them. This resource contains an Oregon counties shapefile, and Oregon gage station locations shapefile, and a geotiff of statewide imagery.

ABSTRACT:

This is an app that visualizes files from HydroShare resources. It is a simple html written code to retrieve a file from a HydroShare resource and visualize it using leaflet in a map window.

ABSTRACT:

This resource contains the Python script run within the Google Cloud Console to bias correct the NWM long-range forecasts.