Description
Dayflow V1 is a historical streamflow reanalysis dataset reconstructed for a 36-year period (1980-2015). The dataset provides both daily and monthly scale streamflow information at about 2.7 million NHDPlusV2 stream reaches in the conterminous US (CONUS). Dayflow is the result of a nationally scalable modeling framework that integrates the simulated runoff from the Variable Infiltration Capacity (VIC) model with the Routing Application for Parallel computatIon of Discharge (RAPID) routing model. Two types of streamflow products, simulated streamflow with or without assimilation of historic US Geological Survey (USGS) streamflow observations, are provided in Dayflow V1. A comprehensive evaluation at 7,526 USGS National Water Information System (NWIS) gauges is performed for both types of streamflow products. The resulting key evaluation metrics are also included in the Dayflow V1 Dataset.
| Date made available | Mar 1 2022 |
|---|---|
| Publisher | Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States) |
Funding
AC05-00OR22725
Research output
- 2 Article
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Regional hydrologic response to climate change in the conterminous United States using high-resolution hydroclimate simulations
Naz, B. S., Kao, S. C., Ashfaq, M., Rastogi, D., Mei, R. & Bowling, L. C., Aug 1 2016, In: Global and Planetary Change. 143, p. 100-117 18 p.Research output: Contribution to journal › Article › peer-review
Open Access107 Scopus citations -
A large-scale, high-resolution hydrological model parameter data set for climate change impact assessment for the conterminous US
Oubeidillah, A. A., Kao, S. C., Ashfaq, M., Naz, B. S. & Tootle, G., Jan 7 2014, In: Hydrology and Earth System Sciences. 18, 1, p. 67-84 18 p.Research output: Contribution to journal › Article › peer-review
Open Access101 Scopus citations
Datasets
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Dayflow: CONUS Daily Streamflow Reanalysis, Version 2 (DayflowV2)
Ghimire, G. (Creator), Kao, S.-C. (Creator) & Gangrade, S. (Creator), Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), Dec 1 2023
Dataset
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