Chalmers Cloud Ice Climatology

Description

The Chalmers Cloud Ice Climatology (CCIC) is a novel, deep-learning-based climate record of ice-particle concentrations in the atmosphere. CCIC results are available at high spatial and temporal resolution (0.07° / 3 h from 1983, 0.036° / 30 min from 2000) and thus ideally suited for evaluating high-resolution weather and climate models or studying individual weather systems.

Update Frequency

Quarterly

License

CC BY 4.0

Documentation

https://ccic.readthedocs.io

Managed By

Geoscience and Remote Sensing at Chalmers University of Technology

See all datasets managed by Geoscience and Remote Sensing at Chalmers University of Technology.

Contact

https://github.com/see-geo/ccic

How to Cite

Chalmers Cloud Ice Climatology was accessed on DATE from https://registry.opendata.aws/ccic. Please refer to https://ccic.readthedocs.io/en/latest/intro.html#citing-ccic for instructions on how to cite the CCIC data.

Usage Examples

Tutorials

• Reading CCIC data by Adrià Amell & Simon Pfreundschuh
  Amazon S3
• Storm tracking with CCIC by Julia Kukulies
  Amazon S3

Tools & Applications

• CCIC on PyPI -- software for training and processing the CCIC retrievals and to read CCIC Zarr files by Simon Pfreundschuh
  

Publications

• The Chalmers Cloud Ice Climatology: Retrieval implementation and validation by Adrià Amell, Simon Pfreundschuh, and Patrick Eriksson