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Rain over Africa

agriculture analysis ready data atmosphere climate deep learning earth observation geophysics geoscience hydrology machine learning precipitation satellite imagery weather zarr

Description

The Rain over Africa (RoA) dataset consists of spaceborn estimates of precipitation of Rain over Africa using only geostationary imagery and obtained through a convolutional and quantile regression neural network. The dataset also contains some uncertainty estimates.

Update Frequency

At most, yearly

License

CC BY 4.0

Documentation

https://github.com/SEE-GEO/roa

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/roa

How to Cite

Rain over Africa was accessed on DATE from https://registry.opendata.aws/roa. Please refer to https://github.com/SEE-GEO/roa#5-how-to-cite for instructions on how to cite the RoA data.

Usage Examples

Tutorials
Publications

Resources on AWS

  • Description
    RoA expected rain rate and quantiles at levels 5%, 16%, 25%, 50%, 75%, 84%, and 95% in Zarr format
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::rainoverafrica
    AWS Region
    us-west-2
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://rainoverafrica/
  • Description
    Notifications for new Rain over Africa data
    Resource type
    SNS Topic
    Amazon Resource Name (ARN)
    arn:aws:sns:us-west-2:261854712492:rainoverafrica-object_created
    AWS Region
    us-west-2

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