Copernicus Climate Data Store
by ECMWF (Copernicus Climate Change Service)
EU climate data portal with ERA5 reanalysis, seasonal forecasts and climate projections retrieved through the cdsapi client.
- Category
- Public & Market Data
- Type
- Weather & climate
- Interface
- SDK
- Built with
- Connect Anything
- Credentials
- API key
02Data
What you can sync.
- Reanalysis
- Seasonal forecasts
- Climate projections
- Satellite climate data
Join Copernicus Climate Data Store reanalysis with your own figures, so plans and reports carry the market context they need.
Need more? Name any other Copernicus Climate Data Store data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An API key
Copernicus Climate Data Store uses an API key. You add the credentials once, when the AI asks for them, and it tells you where to create them in ECMWF (Copernicus Climate Change Service) if you need help.
04How it works
How it works in DataMind.
-
Pick Copernicus Climate Data Store.
Open Lake, pick Copernicus Climate Data Store in the source picker and name the connection. Connect Anything opens with a ready prompt that points the AI at the Copernicus Climate Data Store API docs.
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Answer a few questions.
The AI reads the Copernicus Climate Data Store documentation, then asks which credentials you will use, which data to sync (for example reanalysis and seasonal forecasts), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
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Your data lands in Lake.
The connector agent writes a Python connector for Copernicus Climate Data Store, tests it against the live API and shows you sample rows. Then the data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
05Related
