Synthetic Streamflow Datasets Derived from DOE 9505 for Select Texas Basins

Dataset · Thu Oct 30 00:00:00 EDT 2025

DOI:https://doi.org/10.57931/3000440· OSTI ID:3000440

Bonney, Kirk ^[1]; Ferencz, Stephen ^[2]; Bracken, Cameron ^[2]; Valdez, Raquel ^[1]; Gunda, Thushara ^[1]; Jackson, Nicole ^[1]

---

1. Sandia National Laboratories California
2. Pacific Northwest National Laboratory

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.

• Research Organization: Pacific Northwest National Lab (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Biological and Environmental Research (BER)
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 3000440
• Country of Publication: United States
• Language: English

Related Subjects

Water
drought
hidden markov model
streamflow
watersheds