ABSTRACT:

This HydroShare resource contains the data, Python scripts, and documentation used in the study “Evaluating the U.S. National Water Model Retrospective Evapotranspiration Simulation using Eddy-Covariance Flux Tower Measurements” (Chapagain et al., 2025, Journal of Hydrology: Regional Studies).The study evaluates National Water Model (NWM) evapotranspiration (ET) estimates across the contiguous United States (CONUS) using multi-year comparisons with AmeriFlux tower observations at 72 sites spanning diverse hydroclimatic settings.

The analysis assesses NWM ET performance at the site level and across categorical groupings based on National Weather Service River Forecast Centers (RFCs), Köppen–Geiger climate zones, and land cover types. It also examines temperature forcing accuracy and contrasts ET behavior under water- and energy-limited (P/PET) regimes.

Results reveal wide performance variability, with stronger agreement in cold climates and forested basins and lower skill in arid and agricultural regions. ET estimates tend to perform better under water-limited than energy-limited conditions, while temperature forcings show strong agreement with observations.

The resource includes:

- Preprocessed NWM and AmeriFlux ET and meteorological datasets.
- Python scripts for computing performance metrics (e.g., Scaled KGE, PBIAS).
- Group-based and regime-based analysis notebooks.
- Visualization workflows reproducing key figures from the paper.
- ArcGIS files for site-location mapping.

Most analyses were performed in Python, with ArcGIS Pro was used for spatial processing and visualization. These materials enable reproducibility of the paper’s results and facilitate further analysis of NWM ET performance across CONUS.

ABSTRACT:

This app connector is for map viewer page is displaying a Leaflet map using Open Street Map tiles as a base map. It is also able to load a WMS layer from a HydroShare Geoserver WMS service if the parameters "resourceid" and "layername" are specified from a valid HydroShare resource.

ABSTRACT:

THis is just a test

ABSTRACT:

This study evaluates the performance metrics of observed gauges worldwide on the GEOGloWS versions 1 and 2. The primary objective is to assess the accuracy of the basin identification (comid) assignment on version 2 for bias correction using SABER method. By calculating and comparing performance metrics with the findings from Jorges dissertation on version 1, the analysis aims to validate the comid assignments in GEOGloWS V2, which were determined through an automated process. The goal is to determine whether manual inspection of the approximately 18,000 global gauge stations is necessary to ensure accurate comid assignments, critical for effective bias correction.[EDITED]

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.