Characteristics of the ocean simulations in the Max Planck Institute Ocean Model (MPIOM) the ocean component of the MPI‐Earth system model

By Johann Jungclaus, N. Fischer, Helmuth Haak, K. Lohmann, Jochem Marotzke, D. Matei, Uwe Mikolajewicz, D. Notz, J. Storch. 2013

749 citations recorded by the source corpus.

MPI‐ESM is a new version of the global Earth system model developed at the Max Planck Institute for Meteorology. This paper describes the ocean state and circulation as well as basic aspects of variability in simulations contributing to the fifth phase of the Coupled Model Intercomparison Project (CMIP5). The performance of the ocean/sea‐ice model MPIOM, coupled to a new version of the atmosphere model ECHAM6 and modules for land surface and ocean biogeochemistry, is assessed for two model versions with different grid resolution in the ocean. The low‐resolution configuration has a nominal resolution of 1.5°, whereas the higher resolution version features a quasiuniform, eddy‐permitting global resolution of 0.4°. The paper focuses on important oceanic features, such as surface temperature and salinity, water mass distribution, large‐scale circulation, and heat and freshwater transports. In general, these integral quantities are simulated well in comparison with observational estimates, and improvements in comparison with the predecessor system are documented; for example, for tropical variability and sea ice representation. Introducing an eddy‐permitting grid configuration in the ocean leads to improvements, in particular, in the representation of interior water mass properties in the Atlantic and in the representation of important ocean currents, such as the Agulhas and Equatorial current systems. In general, however, there are more similarities than differences between the two grid configurations, and several shortcomings, known from earlier versions of the coupled model, prevail.

Subfields: Atmospheric Science, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/78b9abb921d63bf7147053a74d06dfd13badc41b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

In Global and Planetary Change

In Oceanography

Citations in the corpus

Towards multi-resolution global climate modeling with ECHAM6–FESOM. Part I: model formulation and mean climate (2015, methodology): “The GMST Smaller PI indicate better performance (see Appendix 3 for their computation) Model Arctic N. mid-lats Tropics Inner tropics S. mid-lats Antarctica E6-F REF (501–1500) 0.91± 0.02 0.97± 0.02 0.96± 0.02 0.97± 0.04 1.03± 0.03 1.03± 0.03 E6-F REF (1–500) 0.91± 0.02 0.98± 0.03 0.97± 0.07 1.00± 0”
Climate and carbon cycle changes from 1850 to 2100 in MPI‐ESM simulations for the Coupled Model Intercomparison Project phase 5 (2013, methodology): “Due to a too zonally oriented North Atlantic Current a cold bias occurs at the Atlantic subtropical gyre margins [Jungclaus et al., 2013].”
A universal Standardized Precipitation Index candidate distribution function for observations and simulations (2020, background): “, 2013) and an oceanic (MPIOM; Max Planck Institute Ocean Model) (Jungclaus et al., 2013) component.”
Causes of climate change over the historical record (2019, background): “Multi-decadal variations inNorth Atlantic climate illustrated by theMax-Planck Institute oceanmodel (MPIOM) (Jungclaus et al 2013) forcedwith century-long reanalysis ERA20C (Poli et al 2016) (see text; figure adapted afterMüller et al 2015).”
Developments in the MPI‐M Earth System Model version 1.2 (MPI‐ESM1.2) and Its Response to Increasing CO2 (2019, methodology): “Vertical mixing is realized by a 10.1029/2018MS001400 combination of the Richardson number-dependent scheme of Pacanowski and Philander (1981) and directly wind-driven turbulent mixing in the mixed layer (for details see Jungclaus et al., 2013; Marsland et al., 2003).”
Arctic sea‐ice evolution as modeled by Max Planck Institute for Meteorology's Earth system model (2013, methodology): “…that describe the atmospheric model component ECHAM6 [Stevens et al., 2013] the modeled climate variability [Giorgetta et al., 2013], the tuning of MPI-ESM [Mauritsen et al., 2012], the impact of sea-ice melt ponds [Roeckner et al., 2012], and the ocean model MPIOM [Jungclaus et al., 2013].”