Hosted by DKRZ logo ISENES logo Powered by ESGF logo
Welcome, Guest. | Login | Create Account
MPI-Edriven-LE logo
You are at the ESGF-DATA.DKRZ.DE node
 

MPI-M Emission-driven Large Ensemble

The Max Planck Institute for Meteorology (MPI-M) Emission-driven Large Ensemble (MPI-Edriven-LE) is based on the Earth system model MPI-ESM1-2-LR. This ensemble is forced by CO2 emissions in representing the interactive carbon cycle instead of the conventional prescribed CO2 concentration. In this emission-driven ensemble, the atmospheric CO2 concentration evolves in response to the strength of ocean and land carbon sink interactively (Li et al., 2021). This emission-driven ensemble simulations enable investigation of the global carbon cycle and the climate changes in the presence of internal variabilities of the Earth system. The following video illustrates that the atmospheric CO2 varies from seasonal to long-term scale in response to the emission and climate change https://www.dkrz.de/en/communication/galerie/Vis/esm/seasonal-variations-of-co2-under-climate-change

By using the configuration forced with CO2 emissions allowing interactive carbon cycle, MPI-ESM1-2-LR’s CMIP6 CovidMIP simulations are unique in comparing to other models’ simulations with prescribed atmospheric CO2 concentration. As presented in Jones et al. (2021), the radiative and climate responses of MPI-ESM1-2-LR are within the range of multi-model simulation results. The baseline simulations (ssp245-cov-baseline, publish in this page) should be used as a reference in pair with the CovidMIP simulations (ssp245-covid, ssp245-cov-fossil, ssp245-cov-strgreen, and ssp245-cov-modgreen, published under CMIP6 CovidMIP) to investigate the effects of COVID-19 induced emission reductions on global carbon cycle, climate change and feedbacks. Here f99 is used in the file name *r*i1p1f99* of all CovidMIP simulations because of the updated aerosol forcing (Fiedler et al. 2021).

The data are licensed under the Creative Commons Attribution-ShareAlike 4.0 license (https://creativecommons.org/licenses/by-sa/4.0/).

The left hand side of the webpage can be used to search for variables as can the bar at the top. 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 wget-xxx.sh -d



References:

[1] Fiedler, S.; Wyser, K.; Rogelj, J. & van Noije, T. (2021): Radiative effects of reduced aerosol emissions during the COVID-19 pandemic and the future recovery, Atmospheric Research, 264, 105866, https://doi.org/10.1016/j.atmosres.2021.105866

[2] Jones, C. D., Hickman, J. E., Rumbold, S. T., Walton, J., Lamboll, R. D., Skeie, R. B., ... & Ziehn, T. (2021). The climate response to emissions reductions due to COVIDÔÇÉ19: Initial results from CovidMIP. Geophysical research letters, 48(8), e2020GL091883.

[3] Li, H., T. Ilyina, T. Loughran, J. Pongratz (2021): Reconstructions and predictions of the global carbon cycle with an emission-driven Earth System Model. https://doi.org/10.1002/essoar.10508552.1


 

Last Update: Dec. 8, 2021, 2:57 a.m. by Admin User
Browse Projects
 
 
 
 
Start typing, or use the 'Delete' key to show all available tags.
MPI-Edriven-LE Tags: None