Community Earth System Model Large Ensemble (CESM LENS) Data Sets on AWS¶
The National Center for Atmospheric Research (NCAR) Community Earth System Model Large Ensemble (CESM LENS) dataset includes a 40-member ensemble of climate simulations for the period 1920-2100. All model runs were subject to the same radiative forcing scenario: historical up to 2005, and RCP8.5 thereafter. (RCP8.5 - Representative Concentration Pathway 8.5 - refers to the worst-case scenario considered in the Fifth Assessment Report of the Intergovernmental Panel on Climate Change - IPCC). Each of the 40 runs begins from a slightly different initial atmospheric state (created by randomly perturbing temperatures at the level of round-off error). The data comprise both surface (2D) and volumetric (3D) variables in the atmosphere, ocean, land, and ice domains.
The total LENS data volume is ~500 TB, and is traditionally accessible through the NCAR Climate Data Gateway (CDG) for download or via web services. A subset (currently ~70 TB compressed) including the most useful variables is now freely available on AWS S3 thanks to the AWS Public Dataset Program.
Slides from an informational briefing about this dataset are available here.
Accessing CESM LENS on AWS¶
S3 bucket name: ncar-cesm-lens
Region: us-west-2 region
Amazon resource name: arn:aws:s3:::ncar-cesm-lens
Bucket contents list: https://ncar-cesm-lens.s3.amazonaws.com/
Zarr format: The LENS data on AWS are structured according to the
Zarr storage format. There are
independent Zarr stores for each component, frequency, experiment, and variable.
The naming convention is:
component= atm (atmosphere), lnd (land), ocn (ocean), ice_nh or ice_sh (ice, northern and southern hemispheres)
frequency= monthly, daily, or hourly6-startYear-endYear (6-hourly data are available for distinct periods)
experiment= 20C (20th century runs), RCP85 (RCP 8.5 runs), HIST (historical run), CTRL (fully-coupled control run), CTRL_AMIP (atmosphere-only control run), CTRL_SLAB (slab-ocean control run)
variable= one of the variable names listed in the tables below
A Jupyter Notebook illustrating how to read the LENS data on AWS, and reproducing Figures 2 and 4 from Kay et al. (2015), has been developed. This Notebook and other resources on GitHub will be gradually improved and augmented.
AWS-hosted subset: doi:10.26024/wt24-5j82 de La Beaujardière, J., Banihirwe, A., Shih, C.-F., Paul, K., and Hamman, J., (2019), “NCAR CESM LENS Cloud-Optimized Subset,” UCAR/NCAR Computational and Informations Systems Lab
Original dataset: doi:10.5065/d6j101d1 Kay, J. and Deser, C. (2016). “The Community Earth System Model (CESM) Large Ensemble Project” UCAR/NCAR Climate Data Gateway.
Kay et al. (2015) paper: doi:10.5065/d6j101d1 Kay, J. E., Deser, C., Phillips, A., Mai, A., Hannay, C., Strand, G., Arblaster, J., Bates, S., Danabasoglu, G., Edwards, J., Holland, M. Kushner, P., Lamarque, J.-F., Lawrence, D., Lindsay, K., Middleton, A., Munoz, E., Neale, R., Oleson, K., Polvani, L., and M. Vertenstein (2015), “The Community Earth System Model (CESM) Large Ensemble Project: A Community Resource for Studying Climate Change in the Presence of Internal Climate Variability,” Bulletin of the American Meteorological Society, 96, 1333-1349