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ccic.yaml
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ccic.yaml
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Name: 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.
Documentation: https://ccic.readthedocs.io
Contact: https://github.com/see-geo/ccic
ManagedBy: "[Geoscience and Remote Sensing at Chalmers University of Technology](https://www.chalmers.se/en/departments/see/research/geo)"
UpdateFrequency: Quarterly
Tags:
- atmosphere
- aws-pds
- climate
- deep learning
- environmental
- exploration
- geophysics
- geoscience
- geospatial
- global
- ice
- planetary
- satellite imagery
- zarr
License: "[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)"
Citation: "Please refer to https://ccic.readthedocs.io/en/latest/intro.html#citing-ccic for instructions on how to cite the CCIC data."
Resources:
- Description: CCIC total ice water path and 2D cloud probability in Zarr format
ARN: arn:aws:s3:::chalmerscloudiceclimatology
Region: us-west-2
Type: S3 Bucket
Explore:
- '[Browse Bucket](https://chalmerscloudiceclimatology.s3.amazonaws.com/index.html)'
DataAtWork:
Tutorials:
- Title: Reading CCIC data
URL: https://ccic.readthedocs.io/en/latest/getting_started.html#reading-ccic-data
AuthorName: Adrià Amell & Simon Pfreundschuh
Services:
- S3
- Title: Storm tracking with CCIC
URL: https://ccic.readthedocs.io/en/latest/applications/storm_tracking.html
AuthorName: Julia Kukulies
AuthorURL: https://juliakukulies.github.io/
Services:
- S3
Tools & Applications:
- Title: CCIC on PyPI -- software for training and processing the CCIC retrievals and to read CCIC Zarr files
URL: https://pypi.org/project/ccic/
AuthorName: Simon Pfreundschuh
AuthorURL: https://github.com/SEE-GEO/ccic
Publications:
- Title: "The Chalmers Cloud Ice Climatology: Retrieval implementation and validation"
URL: https://doi.org/10.5194/egusphere-2023-1953
AuthorName: Adrià Amell, Simon Pfreundschuh, and Patrick Eriksson