Multi-Model Large Ensemble Archive version 2

d651039
 
Abstract:

The Multi-Model Large Ensemble Archive version 2 (MMLEAv2) was compiled as an extension of the original archive. It includes 18 models (12 CMIP6 and 6 CMIP5) and 15 monthly variables. While a consistent RCP8.5 future forcing scenario was available for the CMIP5 class models, the CMIP6 class models use one or both of the historical plus SSP370 or SSP585 scenarios. Observational reference products are also included in this archive. All data is provided remapped to a common 2.5 x 2.5 degree grid.

NetCDF output from the Climate Variability Diagnostics Package version 6 (CVDP v6) run on the model for the time periods 1950-2022 and 2027-2099 is provided for both detrended and non-detrended MMLEAv2 data. The CVDP output can be found on the MMLEAv2 website.

Temporal Range:
1950-01 to 2099-12
Variables:
Geopotential Height Maximum/Minimum Temperature Ocean Mixed Layer Rain
Salinity Sea Ice Concentration Sea Surface Height Sea Surface Temperature
Wind Stress
Data Types:
Grid
Data Contributors:
UCAR/NCAR/CGD
Climate and Global Dynamics Division, National Center for Atmospheric Research, University Corporation for Atmospheric Research
Publications:
Maher, N., A. S. Phillips, C. Deser, R. C. J. Wills, F. Lehner, J. Fasullo, J. M. Caron, L. Brunner, and U. Beyerle, 2024: The updated Multi-Model Large Ensemble Archive and the Climate Variability Diagnostics Package: New tools for the study of climate variability and change. EGUsphere, 2024, 3684 (DOI: 10.5194/egusphere-2024-3684).
Total Volume:
2.16 TB (Entire dataset) Volume details by dataset product
Data Formats:
Metadata Record:
Data License:
Citation counts are compiled through information provided by publicly-accessible APIs according to the guidelines developed through the https://makedatacount.org/ project. If journals do not provide citation information to these publicly-accessible services, then this citation information will not be included in RDA citation counts. Additionally citations that include dataset DOIs are the only types included in these counts, so legacy citations without DOIs, references found in publication acknowledgements, or references to a related publication that describes a dataset will not be included in these counts.