Dayflow-PR: High-Resolution Streamflow Reanalysis for Puerto Rico, Version 1.0
Abstract
This dataset presents a high-resolution historical streamflow reanalysis for NHDPlusV2 stream reaches across Puerto Rico (PR) spanning 1950 - 2019. The reanalysis is generated using the calibrated VIC-RAPID hydrologic modeling framework at the Hydrologic Unit Code Sub-basin (HUC08) scale, forced with sub-daily and daily meteorological forcings from Daymet. Runoff is simulated on 1- and 6-km grids, and the resulting total runoff is routed through the NHDPlusV2 river network using the RAPID routing model to produce Naturalized Streamflow Reanalysis. Where complete observational records are available over 1980 - 2019, streamflows are assimilated (substituted) and subsequently routed downstream through the river network to produce Assimilated Streamflow Reanalysis. The dataset includes streamflow outputs from eight distinct hydrologic modeling configurations along with key performanc evaluation metrics at daily and monthly scales, supporting a wide range of water resource applications. This dataset is derived to support the Non-Powered Dam Assessment, as well as 9505 Secure Water Assessment projects for the US Department of Energy (DOE) Water Power Technologies Office (WPTO). For further details, refer to Ghimire et al. (2023), Kao et al. (2024), and Ghimire et al. (2025).
- Authors:
-
- Oak Ridge National Laboratory
- Publication Date:
- DOE Contract Number:
- AC05-00OR22725
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- Water Power Technologies Office (WPTO)
- Subject:
- 13 HYDRO ENERGY; 42 ENGINEERING; 54 ENVIRONMENTAL SCIENCES; 58 GEOSCIENCES; 97 MATHEMATICS AND COMPUTING; Assimilation; Daymet; High-performance computing; Hydropower; Non-powered Dams; SECURE Water Act Section 9505 Assessment; VIC-RAPID Modeling Framework
- OSTI Identifier:
- 2583869
- DOI:
- https://doi.org/10.13139/OLCF/2583869
Citation Formats
Ghimire, Ganesh R, Gangrade, Sudershan, Kao, Shih-Chieh, Hansen, Carly H., and DeNeale, Scott. Dayflow-PR: High-Resolution Streamflow Reanalysis for Puerto Rico, Version 1.0. United States: N. p., 2025.
Web. doi:10.13139/OLCF/2583869.
Ghimire, Ganesh R, Gangrade, Sudershan, Kao, Shih-Chieh, Hansen, Carly H., & DeNeale, Scott. Dayflow-PR: High-Resolution Streamflow Reanalysis for Puerto Rico, Version 1.0. United States. doi:https://doi.org/10.13139/OLCF/2583869
Ghimire, Ganesh R, Gangrade, Sudershan, Kao, Shih-Chieh, Hansen, Carly H., and DeNeale, Scott. 2025.
"Dayflow-PR: High-Resolution Streamflow Reanalysis for Puerto Rico, Version 1.0". United States. doi:https://doi.org/10.13139/OLCF/2583869. https://www.osti.gov/servlets/purl/2583869. Pub date:Thu Nov 06 04:00:00 UTC 2025
@article{osti_2583869,
title = {Dayflow-PR: High-Resolution Streamflow Reanalysis for Puerto Rico, Version 1.0},
author = {Ghimire, Ganesh R and Gangrade, Sudershan and Kao, Shih-Chieh and Hansen, Carly H. and DeNeale, Scott},
abstractNote = {This dataset presents a high-resolution historical streamflow reanalysis for NHDPlusV2 stream reaches across Puerto Rico (PR) spanning 1950 - 2019. The reanalysis is generated using the calibrated VIC-RAPID hydrologic modeling framework at the Hydrologic Unit Code Sub-basin (HUC08) scale, forced with sub-daily and daily meteorological forcings from Daymet. Runoff is simulated on 1- and 6-km grids, and the resulting total runoff is routed through the NHDPlusV2 river network using the RAPID routing model to produce Naturalized Streamflow Reanalysis. Where complete observational records are available over 1980 - 2019, streamflows are assimilated (substituted) and subsequently routed downstream through the river network to produce Assimilated Streamflow Reanalysis. The dataset includes streamflow outputs from eight distinct hydrologic modeling configurations along with key performanc evaluation metrics at daily and monthly scales, supporting a wide range of water resource applications. This dataset is derived to support the Non-Powered Dam Assessment, as well as 9505 Secure Water Assessment projects for the US Department of Energy (DOE) Water Power Technologies Office (WPTO). For further details, refer to Ghimire et al. (2023), Kao et al. (2024), and Ghimire et al. (2025).},
doi = {10.13139/OLCF/2583869},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Nov 06 04:00:00 UTC 2025},
month = {Thu Nov 06 04:00:00 UTC 2025}
}
