Dayflow: CONUS Daily Streamflow Reanalysis, Version 2 (DayflowV2)
- ORNL-OLCF
The DayflowV2 dataset provides multiple meteorologic forcings driven daily and monthly scale streamflow information at about 2.7 million NHDPlusV2 stream reaches in the conterminous US (CONUS). DaymetV4, Stage-IV, and Analysis of Period of Record for Calibration (AORC) forcings and their corresponding hybrids drive a nationally scalable modeling framework integrating the simulated runoff from the Variable Infiltration Capacity (VIC) model with the Routing Application for Parallel computatIon of Discharge (RAPID) routing model. Streamflow with (Assimilated) and without (Naturalized) streamflow assimilation at US Geological Survey (USGS) streamflow monitoring sites are included in DayflowV2. A comprehensive evaluation of streamflow at 7,526 USGS gauges is performed for both streamflow types. The resulting key evaluation metrics are also included in the Dayflow Dataset. The reanalysis data are available for variable periods; 36 years (1980 â 2015) for DaymetV4 (DayflowV1), 18 years (2002 â 2019) for Stage-IV and its hybrids, and 40 years (1980-2019) for AORC and its hybrids.
- Research Organization:
- 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)
- Sponsoring Organization:
- Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W); Office of Science (SC)
- Contributing Organization:
- Oak Ridge National Laboratory
- OSTI ID:
- 2222888
- Report Number(s):
- 7
- Country of Publication:
- United States
- Language:
- English
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Dayflow: CONUS Daily Streamflow Reanalysis, Version 1 (V1)
Insights From Dayflow: A Historical Streamflow Reanalysis Dataset for the Conterminous United States
Dataset
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Mon Feb 28 23:00:00 EST 2022
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OSTI ID:1847639
Insights From Dayflow: A Historical Streamflow Reanalysis Dataset for the Conterminous United States
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Sun Jan 29 19:00:00 EST 2023
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OSTI ID:1922544