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Chalmers Cloud Ice Climatology

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

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

Daily or quarterly, depending on the product

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
Tools & Applications
Publications

Resources on AWS

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

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