Dai and Trenberth Global River Flow and Continental Discharge Dataset 

This dataset contains time series of all available monthly river flow rates observed at the farthest downstream station for the world's largest 925 rivers, plus long-term mean river flow rates and continental discharge into the individual and global oceans, produced originally by Dai and Trenberth (2002, JHM) and Dai et al. (2009, Journal of Climate), and updated by Dai (2016, AGU Monograph 221) and Dai (2021, Climate Dynamics).

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Temporal Range

  • Begin:  1900-01-01T000000+00
    End:  2018-12-31T000000+00

Keywords

Resource Type dataset
Temporal Range Begin 1900-01-01T000000+00
Temporal Range End 2018-12-31T000000+00
Temporal Resolution N/A
Bounding Box North Lat N/A
Bounding Box South Lat N/A
Bounding Box West Long N/A
Bounding Box East Long N/A
Spatial Representation N/A
Spatial Resolution N/A
Related Links

Related Resource #1 : Historical and Future Changes in Streamflow and Continental Runoff: A Review by Aiguo Dai
Additional Information N/A
Resource Format NetCDF
ASCII
Standardized Resource Format ASCII
NetCDF
Asset Size 25.581 MB
Legal Constraints

Creative Commons Attribution 4.0 International License
Access Constraints None
Software Implementation Language N/A

Resource Support Name N/A
Resource Support Email datahelp@ucar.edu
Resource Support Organization N/A
Distributor NSF NCAR Geoscience Data Exchange
Metadata Contact Name N/A
Metadata Contact Email datahelp@ucar.edu
Metadata Contact Organization NSF NCAR Geoscience Data Exchange

Author Dai, Aiguo
Publisher NSF National Center for Atmospheric Research
Publication Date 2017-05-04
Digital Object Identifier (DOI) https://doi.org/10.5065/D6V69H1T
Alternate Identifier d551000
Resource Version N/A
Topic Category environment
Progress completed
Metadata Date 2025-10-09T01:26:42Z
Metadata Record Identifier edu.ucar.gdex::d551000
Metadata Language eng; USA
Suggested Citation Dai, Aiguo. (2017). Dai and Trenberth Global River Flow and Continental Discharge Dataset. NSF National Center for Atmospheric Research. https://doi.org/10.5065/D6V69H1T. Accessed 04 November 2025.

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