MMLEAv2#
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
Location:#
This dataset is located at:
/g/data/su28/MMLEAv2
The data is then divided up into sub-categories with the following options:
/g/data/su28/MMLEAv2/<domain>/<frequency>/<variable>/<model>
domain - atm, ocn, seaice
frequency - monthly, daily
variable - evspsbl, pr, psl, tas, tauu, tauv, zg500, ts, Rx1day, TNn, TXx, mlotst, sos, tos, zos, siconc, observations
model - ACCESS-ESM1-5, CanESM5, CESM2, E3SM-1-0, EC-Earth3, IPSL-CM6A-LR, MIROC-ES2L, UKESM1-0-LL, CanESM2, CESM1-CAM5, CSIRO-Mk3-6-0, E3SMv2, GFDL-ESM2M, MIROC6, MPI-ESM
Each domain type has thje following variables:
atm_mon = [‘evspsbl’, ‘pr’, ‘psl’, ‘tas’, ‘tauu’, ‘tauv’, ‘zg500’, ‘ts’]
atm_daily = [‘Rx1day’, ‘TNn’, ‘TXx’]
ocn_mon = [‘mlotst’, ‘sos’, ‘tos’, ‘zos’]
seaice_mon = [‘siconc’]
obs = [‘observations’]
Data Contributers:#
UCAR/NCAR/CGD
Publication:#
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).
Extra:#
Please see NCAR’s Research Data Archive for more information about this dataset.