PalMod2 MPI-M MPI-ESM1-2-CR Transient Simulations of the Last Deglaciation with prescribed ice sheets from ICE-6G reconstructions (r1i1p2f2)

Mikolajewicz, Uwe; Kapsch, Marie-Luise; Gayler, Veronika; Meccia, Virna Loana; Riddick, Thomas; Ziemen, Florian Andreas; Schannwell, Clemens

Deglaciation ECHAM6 Ice sheets JSBACH MPI-ESM MPI-ESM1-2-CR MPIOM Paleoclimatology PALMOD2 PMIP

Summary: The transient simulation was performed with the Max Planck Institute for Meteorology Earth System Model version 1.2 in coarse resolution (MPI-ESM-CR). The model includes the spectral atmospheric model ECHAM6.3 at T31 horizontal resolution (approx. 3.75°) and 31 vertical levels, the land surface vegetation model JSBACH3.2, and the primitive equation ocean model MPIOM1.6 with a nominal resolution of 3°. The applied setup was introduced in detail in Kapsch et al. (2021 and 2022).
For the experiment, the model was integrated from a glacial state at 26 ka to the year 1950 with prescribed atmospheric greenhouse gas concentrations (Köhler et al., 2017) and insolation (Berger & Loutre, 1991).
Ice sheets and surface topographies were prescribed from ICE-6G (Peltier et al., 2015) reconstructions. All forcing fields are updated every 10 years of the simulations and initiate changes in the topography, glacier mask, river pathways, ocean bathymetry, and land-sea mask. Meltwater from ice sheets is calculated as the temporal derivative of ice thickness at grid points covered by grounded ice sheets. The derived meltwater is then distributed by the hydrological discharge model and finally released into the ocean as freshwater.
The experiment was performed as part of a model ensemble that contains simulations differing in terms of their tuning parameters, parameterizations and bug fixes. The ensemble is described in detail in the Supplementary Material of Kapsch et al. (2022).
The current simulation refers to ICE6G_P2 in Kapsch et al. (2022) and is significantly colder during the glacial than model version P1, indicating a stronger sensitivity to greenhouse gas changes. The glacial cooling over the North Atlantic is more realistic in P2 and P3 than in P1. P2 and P3 are also more sensitive to small changes in the meltwater forcing than P1.
The experiment was performed as part of a model ensemble that contains simulations differing in terms of their tuning parameters, parameterizations, bug fixes and forcing. These differences are described according to the CMIP6 nomenclature, where r denotes the realization, i the initialization method, p differences in the physics and f in the forcing. The ensemble is described in detail in the Supplementary Material of Kapsch et al. (2022).
Project: PalMod2 (PalMod2)
Contact: Dr. Marie-Luise Kapsch (
marie-luise.kapsch@nullmpimet.mpg.de
0000-0001-9551-5370)
Dr. Uwe Mikolajewicz (
uwe.mikolajewicz@nullmpimet.mpg.de
)
Location(s): global
Spatial Coverage: Longitude 0 to 360 Latitude -90 to 90
Temporal Coverage: 25000-01-01 to 1-12-31 (time before present (1950=0))
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: 3.00 TiB (3295718723465 Byte)
Format: NetCDF
Status: completely archived
Creation Date: 2023-03-02
Future Review Date: 2033-03-04

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Cite as: Mikolajewicz, Uwe; Kapsch, Marie-Luise; Gayler, Veronika; Meccia, Virna Loana; Riddick, Thomas; Ziemen, Florian Andreas; Schannwell, Clemens (2023). PalMod2 MPI-M MPI-ESM1-2-CR Transient Simulations of the Last Deglaciation with prescribed ice sheets from ICE-6G reconstructions (r1i1p2f2). World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/PMMXMCRTDIP122

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Funding: Federal Ministry of Education and Research

Accuracy report

as consistent as the model MPI-ESM1-2-CR

Description: as consistent as the model MPI-ESM1-2-CR

FAIR

F-UJI result: total 66 %

Description: Summary:
Findable: 6 of 7 level;
Accessible: 2 of 3 level;
Interoperable: 3 of 4 level;
Reusable: 5 of 10 level
Method: F-UJI online v2.2.5 automated
Method Description: Checks performed by WDCC. Metrics documentation: https://doi.org/10.5281/zenodo.4081213 Metric Version: metrics_v0.5
Method Url: https://www.f-uji.net
Result Date: 2023-05-02

Scientific Quality Assurance (SQA)

SQA - Scientific Quality Assurance 'approved by author'

Result Date: 2023-05-11

Technical Quality Assurance (TQA)

TQA - Technical Quality Assurance 'approved by WDCC'

Description: 1. Number of data sets is correct and > 0: passed;
2. Size of every data set is > 0: passed;
3. The data sets and corresponding metadata are accessible: passed;
4. The data sizes are controlled and correct: passed;
5. The spatial-temporal coverage description (metadata) is consistent to the data: passed;
6. The format is correct: passed;
7. Variable description and data are consistent: passed
Method: WDCC-TQA checklist
Method Description: Checks performed by WDCC. The list of TQA metrics are documented in the 'WDCC User Guide for Data Publication' Chapter 8.1.1
Method Url: https://www.wdc-climate.de/docs/WDCC_User_Guide_Data_v1.pdf
Result Date: 2023-05-11

Contact type	Person	ORCID	Organization
Contact	Dr. Marie-Luise Kapsch	0000-0001-9551-5370	Max-Planck-Institut fuer Meteorologie
Contact	Dr. Uwe Mikolajewicz	-	Max-Planck-Institut fuer Meteorologie
Author	Dr. Uwe Mikolajewicz	-	Max-Planck-Institut fuer Meteorologie
Author	Dr. Marie-Luise Kapsch	0000-0001-9551-5370	Max-Planck-Institut fuer Meteorologie
Author	Veronika Gayler	-	Max-Planck-Institut fuer Meteorologie
Author	Dr. Virna Loana Meccia	-	Max Planck Institute for Meteorology
Author	Dr. Thomas Riddick	-	Max Planck Institute for Meteorology
Author	Dr. Florian Andreas Ziemen	0000-0001-7095-5740	Deutsches Klimarechenzentrum
Author	Clemens Schannwell	-	Max Planck Institute for Meteorology
Investigator	Dr. Uwe Mikolajewicz	-	Max-Planck-Institut fuer Meteorologie
Funder	-	-	Federal Ministry of Education and Research

References

[1] DOI Mauritsen, Thorsten; Bader, Jürgen; Becker, Tobias; Behrens, Jörg; Bittner, Matthias; Brokopf, Renate; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Esch, Monika; Fast, Irina; Fiedler, Stephanie; Fläschner, Dagmar; Gayler, Veronika; Giorgetta, Marco; Goll, Daniel S.; Haak, Helmuth; Hagemann, Stefan; Hedemann, Christopher; Hohenegger, Cathy; Ilyina, Tatiana; Jahns, Thomas; Jimenéz‐de‐la‐Cuesta, Diego; Jungclaus, Johann; Kleinen, Thomas; Kloster, Silvia; Kracher, Daniela; Kinne, Stefan; Kleberg, Deike; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; Möbis, Benjamin; Müller, Wolfgang A.; Nabel, Julia E. M. S.; Nam, Christine C. W.; Notz, Dirk; Nyawira, Sarah‐Sylvia; Paulsen, Hanna; Peters, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Popp, Max; Raddatz, Thomas Jürgen; Rast, Sebastian; Redler, Rene; Reick, Christian H.; Rohrschneider, Tim; Schemann, Vera; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina D.; Stein, Lukas; Stemmler, Irene; Stevens, Bjorn; Storch, Jin‐Song; Tian, Fangxing; Voigt, Aiko; Vrese, Philipp; Wieners, Karl‐Hermann; Wilkenskjeld, Stiig; Winkler, Alexander; Roeckner, Erich. (2019). Developments in the MPI-M Earth System Model version 1.2 (MPI-ESM1.2) and Its Response to Increasing CO2. doi:10.1029/2018ms001400

[2] DOI Müller, W. A.; Jungclaus, J. H.; Mauritsen, T.; Baehr, J.; Bittner, M.; Budich, R.; Bunzel, F.; Esch, M.; Ghosh, R.; Haak, H.; Ilyina, T.; Kleine, T.; Kornblueh, L.; Li, H.; Modali, K.; Notz, D.; Pohlmann, H.; Roeckner, E.; Stemmler, I.; Tian, F.; Marotzke, J. (2018). A Higher‐resolution Version of the Max Planck Institute Earth System Model (MPI‐ESM1.2‐HR). doi:10.1029/2017ms001217

[3] DOI Kapsch, Marie‐Luise; Mikolajewicz, Uwe; Ziemen, Florian; Schannwell, Clemens. (2022). Ocean Response in Transient Simulations of the Last Deglaciation Dominated by Underlying Ice‐Sheet Reconstruction and Method of Meltwater Distribution. doi:10.1029/2021gl096767

[4] DOI Meccia, Virna Loana; Mikolajewicz, Uwe. (2018). Interactive ocean bathymetry and coastlines for simulating the last deglaciation with the Max Planck Institute Earth System Model (MPI-ESM-v1.2). doi:10.5194/gmd-11-4677-2018

[5] DOI Riddick, Thomas; Brovkin, Victor; Hagemann, Stefan; Mikolajewicz, Uwe. (2018). Dynamic hydrological discharge modelling for coupled climate model simulations of the last glacial cycle: the MPI-DynamicHD model version 3.0. doi:10.5194/gmd-11-4291-2018

[6] DOI Kapsch, Marie-Luise; Mikolajewicz, Uwe; Ziemen, Florian A.; Rodehacke, Christian B.; Schannwell, Clemens. (2021). Analysis of the surface mass balance for deglacial climate simulations. doi:10.5194/tc-15-1131-2021

Is documented by

[1] DOI Köhler, Peter; Nehrbass-Ahles, Christoph; Schmitt, Jochen; Stocker, Thomas F.; Fischer, Hubertus. (2017). A 156 kyr smoothed history of the atmospheric greenhouse gases CO2, CH4 and N2O and their radiative forcing. doi:10.5194/essd-9-363-2017

[2] DOI Berger, A.; Loutre, M.F. (1991). Insolation values for the climate of the last 10 million years. doi:10.1016/0277-3791(91)90033-q

[3] DOI Peltier, W. R.; Argus, D. F.; Drummond, R. (2015). Space geodesy constrains ice age terminal deglaciation: The global ICE-6G_C (VM5a) model. doi:10.1002/2014jb011176

Parent

PalMod2 MPI-M MPI-ESM1-2-CR transient-deglaciation-prescribed-ice6g

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PalMod2