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FreeResearch InstituteBrazil, South America

CAMELS-BR: 897 catchments in Brazil (Sextant/Ifremer record)

CAMELS-BR: daily observed streamflow from 3,679 gauges, meteorological forcing (precipitation, evapotranspiration, temperature) for 897 selected catchments, and 65 attributes spanning topography, climate, hydrology, land cover, geology, soil and human intervention. Catalogued on the Sextant (Ifremer) geonetwork data catalogue.

sextant.ifremer.fr

At a glance

Region
Brazil (South America)
Coverage
897 catchments (Brazil)
Access
Free
Category
Research Institute
Last updated
2020

What's inside

  • streamflow
  • meteorological forcing
  • catchment attributes
  • time series

Terms explained

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: streamflow

  2. 02

    Low flows

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

  3. 03

    Design storms

    Build rainfall intensity-duration-frequency curves for drainage design.

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

    Downscaling

    Turn coarse rainfall grids into field or ward scale estimates.

Machine access and documentation

Open API

GeoNetwork CSW / records API at sextant.ifremer.fr/geonetwork/srv

Licence: Open data

Listed in our registry of open water APIs, which WaterDataGPT can query live.

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