Global maps of Forel-Ule index, hue angle and Secchi disk depth from ESA Ocean Colour CCI
21-year global dataset (1997-2018) of monthly Secchi disk depth, hue angle, and Forel-Ule index over global oceans at ~4 km resolution from ESA Ocean Colour Climate Change Initiative.
doi.org
At a glance
- Region
- Global
- Coverage
- Global
- Access
- Free
- Category
- Research
- Last updated
- 2021
What's inside
- Hydrological Data
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: Hydrological Data
- 02
Low flows
Set environmental flows and check what is left in the river in a dry year.
- 03
Risk screening
Screen projects and assets for climate risk.
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
Bias correction
Correct and downscale climate model output for a site.
Machine access and documentation
Data paper
Global maps of Forel-Ule index, hue angle and Secchi disk depth from ESA Ocean Colour CCI
Earth System Science Data 2021
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