Copernicus Atmosphere Data Store
by ECMWF (Copernicus Atmosphere Monitoring Service)
CAMS data store with global and European air quality forecasts, reanalyses, greenhouse gases and aerosols via cdsapi.
- Category
- Public & Market Data
- Type
- Air quality
- Interface
- SDK
- Built with
- Connect Anything
- Credentials
- API key
02Data
What you can sync.
- Air quality forecasts
- Reanalyses
- Greenhouse gases
- Aerosols
Load Copernicus Atmosphere Data Store air quality forecasts on a schedule and keep every release in your Lake for trends over time.
Need more? Name any other Copernicus Atmosphere Data Store data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An API key
Copernicus Atmosphere 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 Atmosphere Monitoring Service) if you need help.
04How it works
How it works in DataMind.
-
Pick Copernicus Atmosphere Data Store.
Open Lake, pick Copernicus Atmosphere Data Store in the source picker and name the connection. Connect Anything opens with a ready prompt that points the AI at the Copernicus Atmosphere Data Store API docs.
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Answer a few questions.
The AI reads the Copernicus Atmosphere Data Store documentation, then asks which credentials you will use, which data to sync (for example air quality forecasts and reanalyses), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
The connector agent writes a Python connector for Copernicus Atmosphere 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.
