CAMELS-NZ: Hourly dataset for Aotearoa New Zealand
CAMELS-NZ: hourly hydrometeorological time series (streamflow, precipitation, temperature, relative humidity, PET) and static landscape attributes (land cover, soil, geology, topography, human impacts) for 369 catchments across New Zealand, 1972-2024. First large-sample catchment dataset for New Zealand with hourly resolution.
figshare.canterbury.ac.nz
At a glance
- Region
- New Zealand (Oceania)
- Coverage
- 369 catchments (New Zealand)
- Access
- Free
- Category
- Academic
- Last updated
- 2025
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.
- 01
Design flows
Estimate 1-in-50 and 1-in-100 year floods for bridges, culverts and spillways.
Because it has: streamflow
- 02
Low flows
Set environmental flows and check what is left in the river in a dry year.
- 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.
- 01
Flow forecasting
Train LSTM-style models on past records to forecast river levels and flow days ahead.
- 02
Ungauged basins
Combine with catchment data to estimate flow where there is no gauge.
- 03
Downscaling
Turn coarse rainfall grids into field or ward scale estimates.
Related water data
- Auckland Council Environment Data PortalOceania | Free
- CAMELS (US): Catchment Attributes and Meteorology for Large-sample StudiesNorth America | Free
- CAMELS-BR: 897 catchments in Brazil (Sextant/Ifremer record)South America | Free
- CAMELS-CH: 331 catchments in hydrologic Switzerland (DORA record)Europe | Free
- CAMELS-DE: 1582 catchments in GermanyEurope | Free
- CAMELS-DK: 3330 Danish catchments (incl. groundwater)Europe | Free
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