Design for the LGM run

You will find on this page information about the experiment design for the PMIP4 Last Glacial Maximum experiment.

Please make sure to read the Associated publications before setting up your experiments or using the output data, and read any how-to sections associated with specific boundary conditions.

Get in touch with the following people if you have questions:

Masa Kageyama Scientific questions
Jean-Yves Peterschmitt Technical questions or missing data

Associated publication

The PMIP4 contribution to CMIP6 – Part 4: Scientific objectives and experimental design of the PMIP4-CMIP6 Last Glacial Maximum experiments and PMIP4 sensitivity experiments, GMD, Kageyama et al, under review, doi:

[ Supplementary material ]

Specifications

PMIP4-CMIP6 specifications
PMIP4-CMIP6 name lgm
Astronomical parameters eccentricity = 0.018994
obliquity = 22.949°
perihelion-180° = 114.42°
Date of vernal equinox : March 21 at noon
Trace gases CO2 = 190 ppm
CH4 = 375 ppb
N2O = 200 ppb
CFC = 0
O3 = same as in CMIP6 piControl
Solar activity Same as in CMIP6 piControl
Ice sheets Modified
Access to data
Topography and coastlines Modified
Access to data
Volcanic activity Same as in CMIP6 piControl
Aerosols Modified sources, atmospheric concentrations or radiative forcing, depending on model complexity and model configuration used for DECK and historical experiments
cf. documenting papers: Kageyama et al, in prep and Kageyama et al, subm.
Access to data
Vegetation Depending on model complexity and model configuration used for DECK and historical experiments:
Interactive vegetation or Interactive carbon cycle (LAI) or Prescribed to present-day values or mid-Holocene values computed from off-line vegetation model
The methodology to represent vegetation should be the same as for the CMIP6 piControl simulation
cf. documenting papers: Kageyama et al, in prep and Kageyama et al, subm.

Supplementary material

The scripts used for generating the LGM boundary conditions for the IPSL model, following the steps detailed in the Kageyama et al paper, can be dowloaded from LSCE. Get in touch with Jean-Yves Peterschmitt if you need to access this material.