Planette C3S Seasonal Forecast Data

Description

The C3S seasonal forecast dataset provides global, daily, probabilistic forecasts of the Earth system, enabling users to assess the likelihood of future climate states. These forecasts are particularly valuable for studying slowly evolving climate patterns such as El Niño, La Niña, and the North Atlantic Oscillation (NAO), which can be predicted with greater skill than the chaotic atmosphere. This dataset is derived from the Copernicus Climate Change Service (C3S) archive and includes SEAS5 hindcasts (1981-2016) and forecasts (2017-present) at 1°x1° global resolution. More models from the C3S archive will be updated as they are processed into cloud native format. The planette C3S archive stores this data in cloud native format for easy access and analysis.

Update Frequency

Monthly

License

Copernicus Licence (similar to CC-BY-4.0): You are free to share and adapt the material for any purpose, even commercially, provided that you give appropriate credit. https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf

Documentation

https://github.com/PlanetteAI/planette_c3s_archive/blob/main/README.md

Managed By

Planette.ai

See all datasets managed by Planette.ai.

Contact

aodhan.sweeney@planette.ai

How to Cite

Planette C3S Seasonal Forecast Data was accessed on DATE from https://registry.opendata.aws/planette_c3s_seasonal_forecast_data. Copernicus Climate Change Service (C3S) (2017): C3S seasonal forecast data. Copernicus Climate Change Service, Climate Data Store (CDS). https://cds.climate.copernicus.eu/cdsapp#!/dataset/seasonal-original-single-levels

Usage Examples

Tutorials

• Accessing C3S Seasonal Forecast Data with Python by Aodhan Sweeney-Jaramillo
  

Tools & Applications

• icechunk by earth-mover
  
• xarray by xarray Developers
  
• zarr-python by zarr Developers
  

Publications

• C3S Seasonal Forecasts Documentation by Copernicus Climate Change Service
  
• SEAS5: The new ECMWF seasonal forecast system by Johnson, S. J., et al.