Streamflow datasets from the high-resolution, multiscale, differentiable HBV hydrologic models

Song, Yalan; Shen, Chaopeng; Lonzarich, Leo; Ji, Haoyu; Bindas, Tadd

doi:10.5281/zenodo.15784945

Published Jan 1, 1980 – Dec 30, 2020 | Version v6

Dataset Open

Streamflow datasets from the high-resolution, multiscale, differentiable HBV hydrologic models

1. Pennsylvania State University

Contributors

Data manager:

Lonzarich, Leo¹

Producers:

Project leader:

Shen, Chaopeng¹

1. Pennsylvania State University

NEW: This dataset has now been moved from Microsoft OneDrive to an AWS S3 bucket for your convenience in downloading. Please use the download code we provided to pull data from the AWS S3 bucket without login credentials.

This dataset is from the high-resolution, multiscale, differentiable HBV hydrologic models, provided by the Multi-scale Hydrology, Processes, and Intelligence (MHPI) team from The Pennsylvania State University, led by Dr. Chaopeng Shen's group in Hydrologic Deep Learning and Modeling.

Please cite: Song, Y., Bindas, T., Shen, C., Ji, H., Knoben, W. J. M., Lonzarich, L., et al. (2025). High‐resolution national‐scale water modeling is enhanced by multiscale differentiable physics‐informed machine learning. Water Resources Research, 61, e2024WR038928. https://doi.org/10.1029/2024WR038928

The dataset is generated by High-resolution, multiscale, differentiable HBV hydrologic models, dHBV2.0UH and dHBV2.0dMC.

dHBV2.0UH is a high-resolution, multiscale model that uses unit hydrograph routing.

dHBV2.0dMC is a high-resolution, multiscale model that uses external Muskingum-Cunge routing.

Please use the link in the Readme.docx file to access the dataset. A link to the code for loading the dataset is also provided in Readme.docx.

The dHBV_streamflow_simulation_gages folder includes 40 years (1980–2020) of streamflow simulations at over 7,000 gage stations from GAGES-II, using both dHBV2.0UH and dHBV2.0dMC models. This data is useful for comparison with observations.

The MERIT_flux_states folder includes 40 years (1980–2020) of spatially seamless simulations of hydrologic variables over 180 thousand MERIT unit basins on CONUS from dHBV2.0UH, including baseflow, evapotranspiration (ET), soil moisture, snow water equivalent, and runoff.

The dHBV2.0_MERIT_river_network_simulation includes 40 years (1980-2020) of streamflow simulation on seamless MERIT river network by dHBV2.0dMC (New updates!).

The dHBV2.0UH code is available at mhpi/generic_deltaModel: High-resolution differentiable model, 𝛿HBV2.0. https://doi.org/10.5281/zenodo.14827983

Files

S3_dhbv2.0_dataset_tutorial_download.ipynb

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Readme.docx md5:150cc978f4fcb204baf51a6f6b9c2aed	18.9 kB	Download
S3_dhbv2.0_dataset_tutorial_download.ipynb md5:a2a64fd12a43026ce64695beee27d1f3	1.6 MB	Preview Download

Additional details

Is described by: Journal article: 0043-1397 (ISSN)

National Oceanic and Atmospheric Administration
The Cooperative Institute for Research to Operations in Hydrology (CIROH) NA22NWS4320003

Issued: 1980-01-01/2020-12-31

Repository URL: https://doi.org/10.5281/zenodo.14827983

Song, Y., Bindas, T., Shen, C., Ji, H., Knoben, W. J. M., Lonzarich, L., et al. (2025). High‐resolution national‐scale water modeling is enhanced by multiscale differentiable physics‐informed machine learning. Water Resources Research, 61, e2024WR038928. https://doi.org/10.1029/2024WR038928

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Zenodo

License: Creative Commons Attribution 4.0 International

The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more; Non-Commercial Software License Agreement

Non-Commercial Software License Agreement By downloading the hydroDL/hydroDL2 software and dataset (referred to as the 'Software' below), you agree to the following terms of use: Copyright (c) 2020, The Pennsylvania State University (“PSU”). All rights reserved. 1. PSU hereby grants to you a perpetual, nonexclusive and worldwide right, privilege and license to use, reproduce, modify, display, and create derivative works of Software for all non-commercial purposes only. You may not use Software for commercial purposes without prior written consent from PSU. Queries regarding commercial licensing should be directed to The Office of Technology Management at 814.865.6277 or otminfo@psu.edu. 2. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. 3. This software is provided for non-commercial use only. 4. Redistribution and use in source and binary forms, with or without modification, are permitted provided that redistributions must reproduce the above copyright notice, license, list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"; AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

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Created: July 1, 2025
Modified: July 1, 2025