Adding planette's C3S archive

datasets/planette_c3s_seasonal_forecast_data.yaml

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+Name: 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. 
+Documentation: https://github.com/PlanetteAI/planette_c3s_archive/blob/main/README.md
+Contact: aodhan.sweeney@planette.ai
+ManagedBy: Planette.ai
+UpdateFrequency: Monthly
+Collabs:
+  ASDI:
+    Tags:
+      - climate
+      - weather
+      - forecast
+Tags:
+  - aws-pds
+  - climate
+  - weather
+  - earth observation
+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
+Citation: |
+  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
+Resources:
+  - Description: C3S Seasonal Forecast Hindcasts and Forecasts (Zarr format)
+    ARN: arn:aws:s3:::planettebaikal/forecast_models/seasonal/seas5/
+    Region: us-east-2
+    Type: S3 Bucket
+    Explore:
+    - '[Browse Dataset](https://planettebaikal.s3.amazonaws.com/index.html#forecast_models/seasonal/)'
+DataAtWork:
+  Tutorials:
+    - Title: Accessing C3S Seasonal Forecast Data with Python
+      URL: https://github.com/PlanetteAI/planette_c3s_archive/blob/main/c3s_seasonal_forecast_tutorial.ipynb
+      AuthorName: "Aodhan Sweeney-Jaramillo"
+      AuthorURL: https://github.com/AodhanSweeney
+  Tools & Applications:
+    - Title: xarray
+      URL: https://docs.xarray.dev/
+      AuthorName: xarray Developers
+    - Title: zarr-python
+      URL: https://zarr.dev/
+      AuthorName: zarr Developers
+    - Title: icechunk
+      URL: https://github.com/earth-mover/icechunk
+      AuthorName: earth-mover
+  Publications:
+    - Title: "SEAS5: The new ECMWF seasonal forecast system"
+      URL: https://doi.org/10.5194/gmd-12-1087-2019
+      AuthorName: Johnson, S. J., et al.
+    - Title: "C3S Seasonal Forecasts Documentation"
+      URL: https://climate.copernicus.eu/seasonal-forecasts
+      AuthorName: Copernicus Climate Change Service
+DeprecatedNotice:
+ADXCategories:
+  - Environmental Data