MPI-ESM1.2-LR P2k+ with a deep version of JSBACH (MPI-ESM P2k+d)

This dataset corresponds to the following publication:

García-Pereira, F. et al. (2023): "First comprehensive assessment of industrial era land heat uptake from multiple sources". Submittted to Earth System Dynamics.

The dataset includes surface air temperature at 2 m (SAT) and subsurface temperature (soilTs) yearly information for a Past2k (0-1850) simulation extended to the historical period (1850-2014) and SSP585 climate change scenario (2015-2100, P2k+) conducted with a modified version of the CMIP6 low-resolution Earth System Model of the Max Planck Institute for Meteorology, the MPI-ESM1.2-LR (Mauritsen et al., 2019). MPI-ESM1.2 comprises the ocean model MPIOM1.6 and the atmosphere model ECHAM6.3 (Stevens et al., 2013). The latter is directly coupled to the Land Surface Model JSBACH3.2 (Reick et al., 2021) through the surface exchange of mass, momentum, and heat. The low-resolution configuration (MPI-ESM1.2-LR) has an atmospheric horizontal resolution truncated to T63, corresponding approximately to a 200-km grid cell size. This resolution is shared by the LSM. The standard shallow 5-layer vertical discretization of JSBACH3.2 (bottom boundary ca. 10 m)  is modified to a much deeper 12-layer configuration (bottom boundary ca. 1400 m), following González-Rouco et al. (2021).

Additionally to the SAT and soilTs data, the land mask, and the global gridded maps of soil volumetric heat capacity (soilhcap) and diffusivity (soilhdiff) used by JSBACH are included.

REFERENCES

González-Rouco, J. F., Steinert, N. J., García-Bustamante, E., Hagemann, S., de Vrese, P., Jungclaus, J. H., Lorenz, S. J., Melo-Aguilar, C., García-Pereira, F., and Navarro, J.: Increasing the Depth of a Land Surface Model. Part I: Impacts on the Subsurface Thermal Regime and Energy Storage, Journal of Hydrometeorology, 22, 3211 – 3230, https://doi.org/10.1175/JHM-D-21-0024.1, 2021.

Mauritsen, T., Bader, J., Becker, T., Behrens, J., Bittner, M., Brokopf, R., Brovkin, V., Claussen, M., Crueger, T., Esch, M., Fast, I., Fiedler, S., Fläschner, D., Gayler, V., Giorgetta, M., Goll, D. S., Haak, H., Hagemann, S., Hedemann, C., Hohenegger, C., Ilyina, T., Jahns, T., Jimenéz-de-la Cuesta, D., Jungclaus, J., Kleinen, T., Kloster, S., Kracher, D., Kinne, S., Kleberg, D., Lasslop, G., Kornblueh, L., Marotzke, J., Matei, D., Meraner, K., Mikolajewicz, U., Modali, K., Möbis, B., Müller, W. A., Nabel, J. E. M. S., Nam, C. C. W., Notz, D., Nyawira, S.-S., Paulsen, H., Peters, K., Pincus, R., Pohlmann, H., Pongratz, J., Popp, M., Raddatz, T. J., Rast, S., Redler, R., Reick, C. H., Rohrschneider, T., Schemann, V., Schmidt, H., Schnur, R., Schulzweida, U., Six, K. D., Stein, L., Stemmler, I., Stevens, B., von Storch, J.-S., Tian, F., Voigt, A., Vrese, P., Wieners, K.-H., Wilkenskjeld, S., Winkler, A., and Roeckner, E.: Developments in the MPI-M Earth System Model version 1.2 (MPI-ESM1.2) and Its Response to Increasing CO2, Journal of Advances in Modeling Earth Systems, 11, 998–1038, https://doi.org/10.1029/2018MS001400, 2019.

Reick, C. H., Gayler, V., Goll, D., Hagemann, S., Heidkamp, M., Nabel, J. E. M. S., Raddatz, T., Roeckner, E., Schnur, R., and Wilkenskjeld, S.: JSBACH 3 - The land component of the MPI Earth System Model: documentation of version 3.2, Hamburg: MPI für Meteorologie, https://doi.org/10.17617/2.3279802, 2021.

Stevens, B., Giorgetta, M., Esch, M., Mauritsen, T., Crueger, T., Rast, S., Salzmann, M., Schmidt, H., Bader, J., Block, K., Brokopf, R., Fast, I., Kinne, S., Kornblueh, L., Lohmann, U., Pincus, R., Reichler, T., and Roeckner, E.: Atmospheric component of the MPI-M Earth System Model: ECHAM6, Journal of Advances in Modeling Earth Systems, 5, 146–172, https://doi.org/10.1002/jame.20015, 2013.

For any questions regarding the dataset, please free feel to contact Félix García-Pereira (felgar03@ucm.es)

Acknowledgement

We thank the Deutsches Klimarechenzentrum (DKRZ) for the resources granted by its Scientific Steering Committee (WLA) to run MPI-ESM1.2-LR P2k+ deep simulation under project ID bm1026 (PI: Johann Jungclaus).