Articles | Volume 15, issue 22
https://doi.org/10.5194/gmd-15-8581-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-8581-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
24 Nov 2022
Model evaluation paper |
| 24 Nov 2022
| 24 Nov 2022
Assessment of JSBACHv4.30 as a land component of ICON-ESM-V1 in comparison to its predecessor JSBACHv3.2 of MPI-ESM1.2
Rainer Schneck
CORRESPONDING AUTHOR
Max Planck Institute for Meteorology, Hamburg, Germany
Veronika Gayler
Max Planck Institute for Meteorology, Hamburg, Germany
Julia E. M. S. Nabel
Max Planck Institute for Meteorology, Hamburg, Germany
Max Planck Institute for Biogeochemistry, Jena, Germany
Thomas Raddatz
Max Planck Institute for Meteorology, Hamburg, Germany
Christian H. Reick
Max Planck Institute for Meteorology, Hamburg, Germany
Reiner Schnur
Max Planck Institute for Meteorology, Hamburg, Germany
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Cited
16 citations as recorded by crossref.
- Evaluation of the coupling of EMACv2.55 to the land surface and vegetation model JSBACHv4 A. Martin et al. https://doi.org/10.5194/gmd-17-5705-2024
- Modeling mustard water use and its effects on soil water content and subsequent maize performance under projected climate scenarios U. Ahmad et al. https://doi.org/10.1016/j.eja.2025.127971
- Extreme surface solar ultraviolet radiation events reduce maize yields in China H. Guan et al. https://doi.org/10.1038/s43247-025-02432-9
- Effects of land surface model resolution on fluxes and soil state in the Arctic M. Schickhoff et al. https://doi.org/10.1088/1748-9326/ad6019
- Implementing deep soil and dynamic root uptake in Noah-MP (v4.5): impact on Amazon dry-season transpiration C. Bieri et al. https://doi.org/10.5194/gmd-18-3755-2025
- Dynamic parameterization of global land surface albedo components: Bare soil, non-photosynthetic vegetation, and photosynthetic vegetation A. Jia et al. https://doi.org/10.1016/j.rse.2025.114943
- Harmonizing nature’s timescales in ecosystem models V. Groner et al. https://doi.org/10.1016/j.tree.2025.03.011
- Dynamic interaction between lakes, climate, and vegetation across northern Africa during the mid-Holocene N. Specht et al. https://doi.org/10.5194/cp-20-1595-2024
- The overestimated negative temperature sensitivity of the carbon sink in ecosystem models S. Zhu et al. https://doi.org/10.1007/s11707-025-1174-x
- The new plant functional diversity model JeDi-BACH (version 1.0) in the ICON Earth System Model (version 1.0) P. Hu et al. https://doi.org/10.5194/gmd-19-6357-2026
- Integration of a Deep‐Learning‐Based Fire Model Into a Global Land Surface Model R. Son et al. https://doi.org/10.1029/2023MS003710
- Evaluation of representation of seasonally frozen ground characteristics in Land Surface Models: JSBACH and CLM M. Parmar et al. https://doi.org/10.5194/tc-20-4157-2026
- First Analysis of Climate Forcing and Response to Updated Historical Anthropogenic Aerosol With the New CMIP7 Model ICON XPP S. Fiedler et al. https://doi.org/10.1029/2025MS005067
- Best practices in software development for robust and reproducible geoscientific models based on insights from the Global Carbon Budget's dynamic vegetation models K. Gregor et al. https://doi.org/10.5194/gmd-19-2407-2026
- The ICON-based Earth System Model for climate predictions and projections (ICON XPP v1.0) W. Müller et al. https://doi.org/10.5194/gmd-18-9385-2025
- Advances in Permafrost Representation: Biophysical Processes in Earth System Models and the Role of Offline Models H. Matthes et al. https://doi.org/10.1002/ppp.2269
16 citations as recorded by crossref.
- Evaluation of the coupling of EMACv2.55 to the land surface and vegetation model JSBACHv4 A. Martin et al. https://doi.org/10.5194/gmd-17-5705-2024
- Modeling mustard water use and its effects on soil water content and subsequent maize performance under projected climate scenarios U. Ahmad et al. https://doi.org/10.1016/j.eja.2025.127971
- Extreme surface solar ultraviolet radiation events reduce maize yields in China H. Guan et al. https://doi.org/10.1038/s43247-025-02432-9
- Effects of land surface model resolution on fluxes and soil state in the Arctic M. Schickhoff et al. https://doi.org/10.1088/1748-9326/ad6019
- Implementing deep soil and dynamic root uptake in Noah-MP (v4.5): impact on Amazon dry-season transpiration C. Bieri et al. https://doi.org/10.5194/gmd-18-3755-2025
- Dynamic parameterization of global land surface albedo components: Bare soil, non-photosynthetic vegetation, and photosynthetic vegetation A. Jia et al. https://doi.org/10.1016/j.rse.2025.114943
- Harmonizing nature’s timescales in ecosystem models V. Groner et al. https://doi.org/10.1016/j.tree.2025.03.011
- Dynamic interaction between lakes, climate, and vegetation across northern Africa during the mid-Holocene N. Specht et al. https://doi.org/10.5194/cp-20-1595-2024
- The overestimated negative temperature sensitivity of the carbon sink in ecosystem models S. Zhu et al. https://doi.org/10.1007/s11707-025-1174-x
- The new plant functional diversity model JeDi-BACH (version 1.0) in the ICON Earth System Model (version 1.0) P. Hu et al. https://doi.org/10.5194/gmd-19-6357-2026
- Integration of a Deep‐Learning‐Based Fire Model Into a Global Land Surface Model R. Son et al. https://doi.org/10.1029/2023MS003710
- Evaluation of representation of seasonally frozen ground characteristics in Land Surface Models: JSBACH and CLM M. Parmar et al. https://doi.org/10.5194/tc-20-4157-2026
- First Analysis of Climate Forcing and Response to Updated Historical Anthropogenic Aerosol With the New CMIP7 Model ICON XPP S. Fiedler et al. https://doi.org/10.1029/2025MS005067
- Best practices in software development for robust and reproducible geoscientific models based on insights from the Global Carbon Budget's dynamic vegetation models K. Gregor et al. https://doi.org/10.5194/gmd-19-2407-2026
- The ICON-based Earth System Model for climate predictions and projections (ICON XPP v1.0) W. Müller et al. https://doi.org/10.5194/gmd-18-9385-2025
- Advances in Permafrost Representation: Biophysical Processes in Earth System Models and the Role of Offline Models H. Matthes et al. https://doi.org/10.1002/ppp.2269
Saved (final revised paper)
Latest update: 11 Aug 2026
Short summary
The versions of ICON-A and ICON-Land/JSBACHv4 used for this study constitute the first milestone in the development of the new ICON Earth System Model ICON-ESM. JSBACHv4 is the successor of JSBACHv3, and most of the parameterizations of JSBACHv4 are re-implementations from JSBACHv3. We assess and compare the performance of JSBACHv4 and JSBACHv3. Overall, the JSBACHv4 results are as good as JSBACHv3, but both models reveal the same main shortcomings, e.g. the depiction of the leaf area index.
The versions of ICON-A and ICON-Land/JSBACHv4 used for this study constitute the first milestone...
