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Chalmers Cloud Ice Climatology

atmosphere climate deep learning environmental exploration geophysics geoscience geospatial global ice planetary satellite imagery zarr


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



CC BY 4.0


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.


How to Cite

Chalmers Cloud Ice Climatology was accessed on DATE from Please refer to for instructions on how to cite the CCIC data.

Usage Examples

Tools & Applications

Resources on AWS

  • Description
    CCIC total ice water path and 2D cloud probability in Zarr format
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    AWS Region
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://chalmerscloudiceclimatology/
    Browse Bucket

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