Chalmers Cloud Ice Climatology

The Chalmers Cloud Ice Climatology (CCIC) is a cutting-edge dataset offering a deep-learning-based climate record of ice-particle concentrations within Earth's atmosphere. Developed by Geoscience and Remote Sensing at Chalmers University of Technology, this resource provides data at high spatial and temporal resolutions (0.07° / 3 h from 1983, 0.036° / 30 min from 2000), making it exceptionally valuable for detailed climate and weather research.

This open dataset is managed on the Registry of Open Data on AWS and is updated quarterly. It operates under a CC BY 4.0 license, ensuring broad accessibility and reusability. Comprehensive documentation is available via the project's Read the Docs page, and direct contact can be made through its GitHub repository.

Usage examples and tutorials are provided to assist users in interacting with the CCIC data, including guides for reading data and applications like storm tracking. These resources highlight the dataset's utility for researchers and modelers aiming to evaluate high-resolution weather and climate models or delve into specific weather phenomena. The data is accessible through Amazon S3, and associated software is available on PyPI.