Community Earth System Model v2 Large Ensemble (CESM2 LENS) Zarr Subset

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Quick Access:
# Search for a variable above to get a specific filename
import xarray
ds = xarray.open_dataset('filename', engine='kerchunk')
ds[varname]
Abstract:

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 14, 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).

Temporal Range:
1850-01-01 to 2014-12-31
Variables:
Air Temperature U/V Wind Components
Data Types:
Grid
Data Contributors:
KR/ICCP
IBS Center for Climate Physics, Republic of Korea
 |  UCAR/NCAR/CGD
Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, University Corporation for Atmospheric Research
Total Volume:
340.7 TB (Entire dataset) Volume details by dataset product
Data Formats:
Zarr
Metadata Record:
Data License:
Data LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.
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