TY  - JOUR
A1  - Jungclaus, J. H.
A1  - Lorenz, S. J.
A1  - Schmidt, H.
A1  - Brovkin, V.
A1  - Brüggemann, N.
A1  - Chegini, F.
A1  - Crüger, T.
A1  - De‐Vrese, P.
A1  - Gayler, V.
A1  - Giorgetta, M. A.
A1  - Gutjahr, O.
A1  - Haak, H.
A1  - Hagemann, S.
A1  - Hanke, M.
A1  - Ilyina, T.
A1  - Korn, P.
A1  - Kröger, J.
A1  - Linardakis, L.
A1  - Mehlmann, C.
A1  - Mikolajewicz, U.
A1  - Müller, W. A.
A1  - Nabel, J. E. M. S.
A1  - Notz, D.
A1  - Pohlmann, H.
A1  - Putrasahan, D. A.
A1  - Raddatz, T.
A1  - Ramme, L.
A1  - Redler, R.
A1  - Reick, C. H.
A1  - Riddick, T.
A1  - Sam, T.
A1  - Schneck, R.
A1  - Schnur, R.
A1  - Schupfner, M.
A1  - von Storch, J.‐S.
A1  - Wachsmann, F.
A1  - Wieners, K.‐H.
A1  - Ziemen, F.
A1  - Stevens, B.
A1  - Marotzke, J.
A1  - Claussen, M.
T1  - The ICON Earth System Model Version 1.0
Y1  - 2022-04-09
VL  - 14
IS  - 4
JF  - Journal of Advances in Modeling Earth Systems
DO  - 10.1029/2021MS002813
PB  - 
N2  - This work documents the ICON‐Earth System Model (ICON‐ESM V1.0), the first coupled model based on the ICON (ICOsahedral Non‐hydrostatic) framework with its unstructured, icosahedral grid concept. The ICON‐A atmosphere uses a nonhydrostatic dynamical core and the ocean model ICON‐O builds on the same ICON infrastructure, but applies the Boussinesq and hydrostatic approximation and includes a sea‐ice model. The ICON‐Land module provides a new framework for the modeling of land processes and the terrestrial carbon cycle. The oceanic carbon cycle and biogeochemistry are represented by the Hamburg Ocean Carbon Cycle module. We describe the tuning and spin‐up of a base‐line version at a resolution typical for models participating in the Coupled Model Intercomparison Project (CMIP). The performance of ICON‐ESM is assessed by means of a set of standard CMIP6 simulations. Achievements are well‐balanced top‐of‐atmosphere radiation, stable key climate quantities in the control simulation, and a good representation of the historical surface temperature evolution. The model has overall biases, which are comparable to those of other CMIP models, but ICON‐ESM performs less well than its predecessor, the Max Planck Institute Earth System Model. Problematic biases are diagnosed in ICON‐ESM in the vertical cloud distribution and the mean zonal wind field. In the ocean, sub‐surface temperature and salinity biases are of concern as is a too strong seasonal cycle of the sea‐ice cover in both hemispheres. ICON‐ESM V1.0 serves as a basis for further developments that will take advantage of ICON‐specific properties such as spatially varying resolution, and configurations at very high resolution.
N2  - Plain Language Summary: ICON‐ESM is a completely new coupled climate and earth system model that applies novel design principles and numerical techniques. The atmosphere model applies a non‐hydrostatic dynamical core, both atmosphere and ocean models apply unstructured meshes, and the model is adapted for high‐performance computing systems. This article describes how the component models for atmosphere, land, and ocean are coupled together and how we achieve a stable climate by setting certain tuning parameters and performing sensitivity experiments. We evaluate the performance of our new model by running a set of experiments under pre‐industrial and historical climate conditions as well as a set of idealized greenhouse‐gas‐increase experiments. These experiments were designed by the Coupled Model Intercomparison Project (CMIP) and allow us to compare the results to those from other CMIP models and the predecessor of our model, the Max Planck Institute for Meteorology Earth System Model. While we diagnose overall satisfactory performance, we find that ICON‐ESM features somewhat larger biases in several quantities compared to its predecessor at comparable grid resolution. We emphasize that the present configuration serves as a basis from where future development steps will open up new perspectives in earth system modeling.
N2  - Key Points: This work documents ICON‐ESM 1.0, the first version of a coupled model based on the ICON framework. Performance of ICON‐ESM is assessed by means of CMIP6 Diagnosis, Evaluation, and Characterization of Klima experiments at standard CMIP‐type resolution. ICON‐ESM reproduces the observed temperature evolution. Biases in clouds, winds, sea‐ice, and ocean properties are larger than in MPI‐ESM.
UR  - http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/10070
ER  -