ModE-Sim - A medium size AGCM ensemble to study climate variability during the modern era (1420 to 2009)

Experiment
Summary
ModE-Sim (short for Modern Era Simulations) is a medium-size ensemble of model simulations using the ECHAM6 atmosphere general circulation model (model version 6.3.5p2, doi:10.17617/2.1810480). Its setup is based on the PMIP4 experiments, but uses a forced AGCM rather than a fully coupled model.

ModE-Sim was originally designed to form the a-priori state for a climate reconstruction (Modern Era Reanalysis, ModE-RA, to be found as separate experiment within this WDC project) that uses an offline data assimilation technique to combine the output of ModE-Sim with historical climate information. However, beyond its original purpose ModE-Sim on its own can be used as a tool to study climate variability, providing a high number of posible climate states that are physically plausible under the given forcings and boundary conditions. This might include, e.g. the separation of internal variability from the response to externally forced signals, understanding of teleconnection patterns, or the study of extreme events.

The ensemble uses observed/reconstructed forcings and boundary conditions, while accounting in uncertainties in these. For 1420 to 1850 we provide a 60 member ensemble grouped in three subsets using SST and sea ice reconstructions as boundary conditions. Two of these subsets use PMIP4 radiative forcings, while a third one uses a 20-member ensemble of perturbed volcanic forcings from the easy volcanic aerosol (EVA) model to account for uncertainties in the strength and the timing of volcanic eruptions. For 1850 to 2009 ModE-Sim offers 36 members grouped in two subsets, all using PMIP4 radiative forcings. As ocean boundary conditions 20 of the simulations use different realizations of HadISST2, while the remaining 16 members use linear combinations of the latter.

Reference for ModE-Sim:
Hand, Ralf; Samakinwa, Eric; Lipfert, Laura; Brönnimann, Stefan. (2023). ModE-Sim – a medium-sized atmospheric general circulation model (AGCM) ensemble to study climate variability during the modern era (1420 to 2009). doi:10.5194/gmd-16-4853-2023
Project
ModE (A Reanalysis (ModE-RA) and a medium-size AGCM ensemble (ModE-Sim) to study climate variability in the modern era (1420 to 2009))
Contact
Dr. Ralf Hand (
 ralf.hand@nullgiub.unibe.ch
0000-0003-4169-5016)

Prof. Dr. Stefan Brönnimann (
 stefan.broennimann@nullgiub.unibe.ch
0000-0001-9502-7991)
Spatial Coverage
Longitude -180 to 180 Latitude -90 to 90
Temporal Coverage
1420-01-01 to 2009-12-31 (gregorian)
Use constraints
Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Size
431.61 GiB (463439624454 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2033-02-25
Cite as
There is no citation information available on this level, please see the associated parent or child entry (if available) for citation details.
Funding
European Commission - Horizon 2020 Framework Programme
Grant/Award No: 787574 - PA Palaeoreanalysis To Understand Decadal Climate Variability (PALAEO-RA)
Contact typePersonORCIDOrganization
-

Is documented by

[1] DOI Giorgetta, Marco; Roeckner, Erich; Mauritsen, Thorsten; Bader, Jurgen; Crueger, Traute; Esch, Monika; Rast, Sebastian; Kornblueh, Luis; Schmidt, Hauke; Kinne, Stefan; Hohenegger, Cathy; Möbis, Benjamin; Krismer, Thomas; Wieners, Karl-Hermann; Stevens, Bjorn. (2013). The atmospheric general circulation model ECHAM6 - Model description . doi:10.17617/2.1810480
[2] DOI Jungclaus, Johann H.; Bard, Edouard; Baroni, Mélanie; Braconnot, Pascale; Cao, Jian; Chini, Louise P.; Egorova, Tania; Evans, Michael; González-Rouco, J. Fidel; Goosse, Hugues; Hurtt, George C.; Joos, Fortunat; Kaplan, Jed O.; Khodri, Myriam; Klein Goldewijk, Kees; Krivova, Natalie; LeGrande, Allegra N.; Lorenz, Stephan J.; Luterbacher, Jürg; Man, Wenmin; Maycock, Amanda C.; Meinshausen, Malte; Moberg, Anders; Muscheler, Raimund; Nehrbass-Ahles, Christoph; Otto-Bliesner, Bette I.; Phipps, Steven J.; Pongratz, Julia; Rozanov, Eugene; Schmidt, Gavin A.; Schmidt, Hauke; Schmutz, Werner; Schurer, Andrew; Shapiro, Alexander I.; Sigl, Michael; Smerdon, Jason E.; Solanki, Sami K.; Timmreck, Claudia; Toohey, Matthew; Usoskin, Ilya G.; Wagner, Sebastian; Wu, Chi-Ju; Yeo, Kok Leng; Zanchettin, Davide; Zhang, Qiong; Zorita, Eduardo. (2017). The PMIP4 contribution to CMIP6 – Part 3: The last millennium, scientific objective, and experimental design for the PMIP4 <i>past1000</i> simulations. doi:10.5194/gmd-10-4005-2017

Is cited by

[1] DOI Hand, Ralf; Samakinwa, Eric; Lipfert, Laura; Brönnimann, Stefan. (2023). ModE-Sim – a medium-sized atmospheric general circulation model (AGCM) ensemble to study climate variability during the modern era (1420 to 2009). doi:10.5194/gmd-16-4853-2023

Attached Dataset Groups ( 5 )

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[Entry acronym: ModE-Sim] [Entry id: 3969868]