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

Ghimire, Ganesh; Kao, Shih-Chieh; Gangrade, Sudershan

doi:10.13139/OLCF/2222888

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

Dataset
Other Related Research

Abstract

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.

Authors:

Ghimire, Ganesh; Kao, Shih-Chieh; Gangrade, Sudershan

ORNL-OLCF

Publication Date:: Fri Dec 01 04:00:00 UTC 2023

Other Number(s):: 7

Research Org.:: 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 Org.:: Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W); Office of Science (SC)

Collaborations:: Oak Ridge National Laboratory

Subject:: 13 HYDRO ENERGY; 54 ENVIRONMENTAL SCIENCES; 97 MATHEMATICS AND COMPUTING; Streamflow Reanalysis, VIC-RAPID Modeling Framework, AORC, STAGE4, National Water Model, Extremes, High-performance computing

OSTI Identifier:: 2222888

DOI:: https://doi.org/10.13139/OLCF/2222888

Citation Formats


                    Ghimire, Ganesh, Kao, Shih-Chieh, and Gangrade, Sudershan. Dayflow: CONUS Daily Streamflow Reanalysis, Version 2 (DayflowV2).  United States: N. p., 2023. 
        Web.  doi:10.13139/OLCF/2222888.

Copy to clipboard


                    Ghimire, Ganesh, Kao, Shih-Chieh, & Gangrade, Sudershan. Dayflow: CONUS Daily Streamflow Reanalysis, Version 2 (DayflowV2).  United States.  doi:https://doi.org/10.13139/OLCF/2222888

Copy to clipboard


                    Ghimire, Ganesh, Kao, Shih-Chieh, and Gangrade, Sudershan. 2023.  
"Dayflow: CONUS Daily Streamflow Reanalysis, Version 2 (DayflowV2)".  United States.  doi:https://doi.org/10.13139/OLCF/2222888.  https://www.osti.gov/servlets/purl/2222888. Pub date:Fri Dec 01 04:00:00 UTC 2023

Copy to clipboard


                    
@article{osti_2222888,

  title        = {Dayflow: CONUS Daily Streamflow Reanalysis, Version 2 (DayflowV2)},

  author       = {Ghimire, Ganesh and Kao, Shih-Chieh and Gangrade, Sudershan},

  abstractNote = {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.},

  doi          = {10.13139/OLCF/2222888},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Fri Dec 01 04:00:00 UTC 2023},

  month        = {Fri Dec 01 04:00:00 UTC 2023}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.13139/OLCF/2222888

Save / Share:

Export Metadata

Save to My Library

Similar records in DOE Data Explorer and OSTI.GOV collections:

Dayflow: CONUS Daily Streamflow Reanalysis, Version 1 (V1)

Dataset Kao, Shih-Chieh ; Ghimire, Ganesh R. ; Hansen, Carly ; ...

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 USGSmore »« less
Dayflow-PR: High-Resolution Streamflow Reanalysis for Puerto Rico, Version 1.0

Dataset Ghimire, Ganesh ; Gangrade, Sudershan ; Kao, Shih-Chieh ; ...

This dataset provides a high-resolution historical streamflow reanalysis for NHDPlusV2 stream reaches across Puerto Rico (PR) spanning 1950–2019. The reanalysis is generated using the VIC-RAPID hydrologic modeling framework, forced with both 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, 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 hydrologicmore »« less
Dayflow-PR: High-Resolution Streamflow Reanalysis for Puerto Rico, Version 1.0

Dataset Ghimire, Ganesh R ; Gangrade, Sudershan ; Kao, Shih-Chieh ; ...

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 networkmore »« less
Pan-Arctic daily streamflow at 0.5-degree resolution

Dataset Zhou, Tian ; Solander, Kurt ; Schwenk, Jon

Data was derived using daily runoff from models participating in the Coupled Model Intercomparison Project, version 6 (CMIP6) that have been routed through the Model for Scale Adaptive River Transport (MOSART) routing model to represent streamflow at individual streamflow gage locations. Data from 750 streamflow gage locations are represented, which are indexed by gage id according to the metadata.csv file. Streamflow gage location sites were based on gage records downloaded from the United States Geological Survey (USGS), National Water Data (HYDAT) Archive from Canada, and the State Hydrological Institute of Russia. Data are available from 11 Earth System Models (ESMs)more »« less
Thermal Tolerance Metrics for Freshwater Fish, CONUS, Version 1

Dataset Welch, Jessica ; Jager, Henriette

This dataset is a compilation of 13 thermal response metrics for 834 freshwater fish species across the conterminous United States (CONUS). The data were extracted from six published sources, many of which are compilations of data from other sources. The data were harmonized for comparison, and additional variables were added to summarize the metrics. The dataset is presented as a spreadsheet containing 17 sheets. The first sheet (datasets) describes the data sources. Other sheets describe the source and compilation variables in detail.

Similar Records