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Met Office UK Earth System Model (UKESM1) ARISE-SAI geoengineering experiment data

Provided by: Met Office , part of the Amazon Sustainability Data Initiative

Met Office UK Earth System Model (UKESM1) ARISE-SAI geoengineering experiment data

Provided by: Met Office , part of the Amazon Sustainability Data Initiative

This product is part of the Amazon Sustainability Data Initiative and contains data sets that are publicly available for anyone to access and use. No subscription is required. Unless specifically stated in the applicable data set documentation, data sets available through the Amazon Sustainability Data Initiative are not provided and maintained by AWS.

Description

Data from the UK Earth System Model (UKESM1) ARISE-SAI experiment. The UKESM1 ARISE-SAI experiment explores the impacts of geoengineering via the injection of sulphur dioxide (SO2) into the stratosphere in order to keep global mean surface air temperature near 1.5 C above the pre-industrial climate. Data includes a five member ensemble of simulations with SO2 injection plus a five member ensemble of SSP2-4.5 simulations from CMIP6 to serve as a reference data set

License

CMIP6 data included is licensed under CC-BY 4.0 (see here . Additional ARISE-SAI data is licenced under the Open Government Licence v3 

Documentation

(https://github.com/MetOffice/arise-cmor-tables )

How to cite

Met Office UK Earth System Model (UKESM1) ARISE-SAI geoengineering experiment data was accessed on DATE from https://registry.opendata.aws/met-office-ukesm1-arise .

Update frequency
Rare once complete
Support information

Managed by: Met Office 

Contact: https://github.com/MetOffice/arise-cmor-tables/issues 

General AWS Data Exchange support
Contact Us 

Resources on AWS

Description

CMIP6 standards-compliant netCDF data

Resource type
S3 Bucket
Amazon Resource Name (ARN)
arn:aws:s3:::met-office-ukesm1-arise
AWS Region
eu-west-2

AWS CLI Access (No AWS account required)

aws s3 ls --no-sign-request s3://met-office-ukesm1-arise/
Explore

Usage examples

Tutorials

Links

View this dataset on Github 

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