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MPI Grand Ensemble

The Max Planck Institute for Meteorology (MPI-M) Grand Ensemble (MPI-GE) is the largest ensemble of a single state-of-the-art comprehensive climate model currently available. The Grand Ensemble consists of five Large Ensembles of 100 simulations each under different forcing scenarios. This ensemble allows the separation of the forced signal from the model internal variability. It allows us to address questions that could not be answered in the past, such as: Does internal variability change under different forcing conditions? The Figure to the bottom shows many possible realisations of the Earth under multiple scenarios. Please visit the project page for more information.

The data is licensed under Creative Commons Attribution-ShareAlike 4.0 (CC BY-SA 4.0). By using the data you agree to the terms and conditions of this license

The left hand side of the webpage can be used to search for variables as can the bar at the top. For example to search for precipitation in the RCP8.5 scenario one can put 'pr AND RCP8.5' into the search bar. The most efficient way to download the whole ensemble is to search for the data that you want then click 'Add all displayed results to Data Cart. From here go into the Data Cart and click 'Select All Datasets' then create a wget script for that download. To run the wget script the following command can be used: $ bash -H

The data will be available for 10 years from publication (end of 2028).

Please cite the following publication when using the data.

Maher, N., Milinski, S., Suarez-Gutierrez, L., Botzet, M., Dobrynin, M.,
Kornblueh, L., Kröger, J., Takano, Y., Ghosh, R., Hedemann, C., Li, C.,
Li, H., Manzini, E., Notz, N., Putrasahan, D., Boysen, L., Claussen, M.,
Ilyina, T., Olonscheck, D., Raddatz, T., Stevens, B. and Marotzke, J.
(2019). The Max Planck Institute Grand Ensemble: Enabling the
Exploration of Climate System Variability./Journal of Advances in
Modeling Earth Systems//, 11,/

Please send an email to if you publish a paper using the data, find any errors or bugs in the data or would like to request data that is not currently available.

The data is currently available on the native grid. We recommend CDO as a tool for regridding, selecting subregions, selecting time periods and  much more. It is fast, efficient and can be used in scripting languages (bash, python) to easily loop over ensemble members. CDO can be found  here:

                                                                                                Figure credit: Michael Boettinger (DKRZ) and Jochem Marotzke (MPI-M)


Last Update: Dec. 21, 2023, 7:26 a.m. by Admin User
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