Community Earth System Model v2 Large Ensemble (CESM2 LENS)

atmosphere climate climate model geospatial ice land machine learning model oceans sustainability zarr


The US National Center for Atmospheric Research partnered with the IBS Center for Climate Physics in South Korea to generate the CESM2 Large Ensemble which consists of 100 ensemble members at 1 degree spatial resolution covering the period 1850-2100 under CMIP6 historical and SSP370 future radiative forcing scenarios. Data sets from this ensemble were made downloadable via the Climate Data Gateway on June 14th, 2021. NCAR has copied a subset (currently ~500 TB) of CESM2 LENS data to Amazon S3 as part of the AWS Public Datasets Program. To optimize for large-scale analytics we have represented the data as ~275 Zarr stores format accessible through the Python Xarray library. Each Zarr store contains a single physical variable for a given model run type and temporal frequency (monthly, daily).

Update Frequency

Rare. The LENS experiment is complete, but we may occasionally copy additional fields from NCAR to AWS, or fix problems discovered in the AWS copy.



Managed By

See all datasets managed by National Center for Atmospheric Research.


How to Cite

Community Earth System Model v2 Large Ensemble (CESM2 LENS) was accessed on DATE from

Usage Examples

Tools & Applications

Resources on AWS

  • Description
    Project data files
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    AWS Region
    AWS CLI Access (No AWS account required)
    aws s3 ls s3://ncar-cesm2-lens/ --no-sign-request

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