Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Try the next-generation Data Catalog at catalog-beta.data.gov and help shape it with your feedback.

  • Feedback

    • Demonstration of LoA Method For Hydrologic Model Evaluation

    Metadata Updated: April 24, 2025

    These are hydrometeorological datasets obtained from US national data repositories as inputs to a hydrologic model and model simulations over the St. Joseph River Watershed (SJRW) for both gauged and hypothetical ungauged scenarios. The datasets purpose is to demonstrate the applicability of the machine learning-based Limits of Acceptability (LoA) method and hydrologic signatures to evaluate the Sacramento Soil Moisture Accounting (SAC-SMA).

    This dataset is associated with the following publication: Gupta, A., M.M. Hantush, and R.S. Govindaraju. Evaluation of hydrological models at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures. JOURNAL OF HYDROLOGY. Elsevier Science Ltd, New York, NY, USA, 641: 131774, (2024).

    Access & Use Information

    Public: This dataset is intended for public access and use. License: See this page for license information.

    Downloads & Resources

    References

    https://doi.org/10.1016/j.jhydrol.2024.131774

    Dates

    Metadata Created Date April 24, 2025
    Metadata Updated Date April 24, 2025

    Metadata Source

    Harvested from EPA ScienceHub

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date April 24, 2025
    Metadata Updated Date April 24, 2025
    Publisher U.S. EPA Office of Research and Development (ORD)
    Maintainer
    Identifier https://doi.org/10.23719/1531956
    Data Last Modified 2024-06-03
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Harvest Object Id 86b3378a-985a-4831-8b1a-823dab21daeb
    Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
    Harvest Source Title EPA ScienceHub
    License https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html
    Program Code 020:000
    Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
    Related Documents https://doi.org/10.1016/j.jhydrol.2024.131774
    Source Datajson Identifier True
    Source Hash 457b85692016601a48918c3d1c453f9004bd11b97ff3370703d71c6225d23109
    Source Schema Version 1.1

    Didn't find what you're looking for? Suggest a dataset here.