Synthetic Streamflow Datasets Derived from DOE 9505 for Select Texas Basins

Bonney, Kirk; Ferencz, Stephen; Bracken, Cameron; Valdez, Raquel; Gunda, Thushara; Jackson, Nicole

doi:10.57931/3000440

Title: Synthetic Streamflow Datasets Derived from DOE 9505 for Select Texas Basins

Dataset
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Abstract

This dataset is generated using a Bayesian Hidden Markov Model trained on the DOE 9505 streamflow projection ensemble. A set of 21,000 streamflow realizations are generated for the Colorado, Sabine, and Trinity river basins in Texas. Separate models are trained either using the full 9505 ensemble or a subset based on three hyperparameters: bias correction, downscaling, and hydrological model.

Authors:

;

Sandia National Laboratories California
Pacific Northwest National Laboratory

Publication Date:: Thu Oct 30 04:00:00 UTC 2025

DOE Contract Number:: AC05-76RL01830

Research Org.:: Pacific Northwest National Lab (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Subject:: Water; drought; hidden markov model; streamflow; watersheds

OSTI Identifier:: 3000440

DOI:: https://doi.org/10.57931/3000440

Citation Formats


                    Bonney, Kirk, Ferencz, Stephen, Bracken, Cameron, Valdez, Raquel, Gunda, Thushara, and Jackson, Nicole. Synthetic Streamflow Datasets Derived from DOE 9505 for Select Texas Basins.  United States: N. p., 2025. 
        Web.  doi:10.57931/3000440.

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                    Bonney, Kirk, Ferencz, Stephen, Bracken, Cameron, Valdez, Raquel, Gunda, Thushara, & Jackson, Nicole. Synthetic Streamflow Datasets Derived from DOE 9505 for Select Texas Basins.  United States.  doi:https://doi.org/10.57931/3000440

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                    Bonney, Kirk, Ferencz, Stephen, Bracken, Cameron, Valdez, Raquel, Gunda, Thushara, and Jackson, Nicole. 2025.  
"Synthetic Streamflow Datasets Derived from DOE 9505 for Select Texas Basins".  United States.  doi:https://doi.org/10.57931/3000440.  https://www.osti.gov/servlets/purl/3000440. Pub date:Thu Oct 30 04:00:00 UTC 2025

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@article{osti_3000440,

  title        = {Synthetic Streamflow Datasets Derived from DOE 9505 for Select Texas Basins},

  author       = {Bonney, Kirk and Ferencz, Stephen and Bracken, Cameron and Valdez, Raquel and Gunda, Thushara and Jackson, Nicole},

  abstractNote = {This dataset is generated using a Bayesian Hidden Markov Model trained on the DOE 9505 streamflow projection ensemble. A set of 21,000 streamflow realizations are generated for the Colorado, Sabine, and Trinity river basins in Texas. Separate models are trained either using the full 9505 ensemble or a subset based on three hyperparameters: bias correction, downscaling, and hydrological model.},

  doi          = {10.57931/3000440},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu Oct 30 04:00:00 UTC 2025},

  month        = {Thu Oct 30 04:00:00 UTC 2025}

}

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DOI: https://doi.org/10.57931/3000440

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