2 datasets found
  1. u

    Data from: Community Earth System Model v2 Large Ensemble (CESM2 LENS)

    • data.ucar.edu
    • oidc.rda.ucar.edu
    • +1more
    zarr
    Updated Nov 11, 2024
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    Danabasoglu, Gokhan; Deser, Clara; Rodgers Axel Timmermann, Keith (2024). Community Earth System Model v2 Large Ensemble (CESM2 LENS) [Dataset]. https://data.ucar.edu/dataset/community-earth-system-model-v2-large-ensemble-cesm2-lens
    Explore at:
    zarrAvailable download formats
    Dataset updated
    Nov 11, 2024
    Dataset provided by
    Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
    Authors
    Danabasoglu, Gokhan; Deser, Clara; Rodgers Axel Timmermann, Keith
    Time period covered
    Jan 1, 1850 - Dec 31, 2014
    Description

    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).

  2. o

    Data from: Community Earth System Model v2 Large Ensemble (CESM2 LENS)

    • registry.opendata.aws
    Updated Dec 7, 2021
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    National Center for Atmospheric Research (2021). Community Earth System Model v2 Large Ensemble (CESM2 LENS) [Dataset]. https://registry.opendata.aws/ncar-cesm2-lens/
    Explore at:
    Dataset updated
    Dec 7, 2021
    Dataset provided by
    <a href="https://ncar.ucar.edu/">National Center for Atmospheric Research</a>
    Description

    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).

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Danabasoglu, Gokhan; Deser, Clara; Rodgers Axel Timmermann, Keith (2024). Community Earth System Model v2 Large Ensemble (CESM2 LENS) [Dataset]. https://data.ucar.edu/dataset/community-earth-system-model-v2-large-ensemble-cesm2-lens

Data from: Community Earth System Model v2 Large Ensemble (CESM2 LENS)

Related Article
Explore at:
zarrAvailable download formats
Dataset updated
Nov 11, 2024
Dataset provided by
Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Authors
Danabasoglu, Gokhan; Deser, Clara; Rodgers Axel Timmermann, Keith
Time period covered
Jan 1, 1850 - Dec 31, 2014
Description

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).

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