ABSTRACT:

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

ABSTRACT:

This resource contains a series of Python-based Jupyter Notebooks used to evaluate the performance of short-range flood forecasts from the National Water Model (NWM) across 17 major U.S. flood events between 2021 and 2022. The workflows include gage selection, watershed delineation, land cover and topographic analysis, NWM forecast retrieval via API, and forecast performance evaluation using peak flow, timing, volume, and Kling-Gupta Efficiency metrics. These notebooks support the analyses presented in the mansucript "Comprehensive Evaluation of Short-Range Flood Forecasts in the U.S. National Water Model: A Multi-Region Analysis of Flood Timing, Magnitude, and Basin Influences" submitted to the journal and are intended to promote reproducibility and transparency in large-scale hydrologic model evaluation.

Note: The resource is currently discoverable only. Upon publication of the manuscript, the full dataset will be made accessible and the resource will be published with a DOI.

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.