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GRADES Global Reach-scale A priori Discharge

Original GRADES model-derived daily river discharge for ~2.94 million global river reaches (1979-2013), generated with VIC land surface model and RAPID routing. Foundational a priori discharge dataset for the SWOT mission.

reachhydro.org

At a glance

Region
Global
Coverage
Global
Access
Free
Category
Academic
Last updated
2024

What's inside

  • river discharge
  • streamflow
  • modelled discharge

What you can do with it

Typical work that data of this type supports.

  1. 01

    Design flows

    Estimate 1-in-50 and 1-in-100 year floods for bridges, culverts and spillways.

    Because it has: river discharge

  2. 02

    Low flows

    Set environmental flows and check what is left in the river in a dry year.

  3. 03

    Model calibration

    Calibrate and test catchment models against observed flow.

Where AI adds value

Ideas for machine learning and AI agents built on this kind of data.

  1. 01

    Flow forecasting

    Train LSTM-style models on past records to forecast river levels and flow days ahead.

  2. 02

    Ungauged basins

    Combine with catchment data to estimate flow where there is no gauge.

  3. 03

    Automatic QC

    Flag gauge errors, shifts and gaps before they reach a report.

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