Dayflow: CONUS Daily Streamflow Reanalysis, Version 2 (DayflowV2)

10.13139/OLCF/2222888

The DayflowV2 dataset provides multiple meteorologic forcings driven hourly streamflow information for approximately 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 (1980-2015) for DaymetV4 (DayflowV1), 18 years (2002-2019) for Stage-IV and its hybrids, and 40 years (1980-2019) for AORC and its hybrids.

Published: 2023-12-01 07:17:57 Download Dataset

Dataset Properties

Field Value
Authors
  • Ghimire, Ganesh Oak Ridge National Laboratory
  • Kao, Shih-Chieh Oak Ridge National Laboratory
  • Gangrade, Sudershan Oak Ridge National Laboratory
Project Identifier ATM112
Dataset Type ND Numeric Data
Subjects
  • 13 HYDRO ENERGY
  • 54 ENVIRONMENTAL SCIENCES
  • 97 MATHEMATICS AND COMPUTING
Keywords
  • Streamflow Reanalysis
  • VIC-RAPID Modeling Framework
  • AORC
  • STAGE4
  • National Water Model
  • Extremes
  • High-performance computing
Originating Organizations Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organizations DOE Water Power Technologies Office
DOE Contract NA
Related Identifiers
  • IsNewVersionOf (DOI) 10.21951/Dayflow/1847639

Acknowledgements

Papers using this dataset are requested to include the following text in their acknowledgements:

*Support for 10.13139/OLCF/2222888 is provided by the U.S. Department of Energy, project ATM112 under Contract NA. This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility.