Articles | Volume 13, issue 1
https://doi.org/10.5194/gmd-13-185-2020
© Author(s) 2020. 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-13-185-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
27 Jan 2020
Development and technical paper |
| 27 Jan 2020
| 27 Jan 2020
Accounting for forest age in the tile-based dynamic global vegetation model JSBACH4 (4.20p7; git feature/forests) – a land surface model for the ICON-ESM
Julia E. M. S. Nabel
CORRESPONDING AUTHOR
Max Planck Institute for Meteorology, 20146 Hamburg, Germany
Kim Naudts
Max Planck Institute for Meteorology, 20146 Hamburg, Germany
now at: Department of Earth Sciences, VU University Amsterdam, Amsterdam, the Netherlands
Julia Pongratz
Max Planck Institute for Meteorology, 20146 Hamburg, Germany
now at: Ludwig-Maximilians-Universität München, Munich, Germany
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Cited
21 citations as recorded by crossref.
- Evaluating two soil carbon models within the global land surface model JSBACH using surface and spaceborne observations of atmospheric CO<sub>2</sub> T. Thum et al. 10.5194/bg-17-5721-2020
- A review of forest carbon cycle models on spatiotemporal scales J. Zhao et al. 10.1016/j.jclepro.2022.130692
- Effects of Increased Drought in Amazon Forests Under Climate Change: Separating the Roles of Canopy Responses and Soil Moisture H. Wey et al. 10.1029/2021JG006525
- Assessment of JSBACHv4.30 as a land component of ICON-ESM-V1 in comparison to its predecessor JSBACHv3.2 of MPI-ESM1.2 R. Schneck et al. 10.5194/gmd-15-8581-2022
- Modeling atmosphere–land interactions at a rainforest site – a case study using Amazon Tall Tower Observatory (ATTO) measurements and reanalysis data A. Schmitt et al. 10.5194/acp-23-9323-2023
- A Review of Machine Learning Applications in Land Surface Modeling S. Pal & P. Sharma 10.3390/earth2010011
- Integration of a Deep‐Learning‐Based Fire Model Into a Global Land Surface Model R. Son et al. 10.1029/2023MS003710
- Improving scalability of Earth system models through coarse-grained component concurrency – a case study with the ICON v2.6.5 modelling system L. Linardakis et al. 10.5194/gmd-15-9157-2022
- Biotic and Abiotic Factors Controlling Spatial Variation of Mean Carbon Turnover Time in Forest Soil J. Wang et al. 10.1029/2023JG007438
- Dynamic Global Vegetation Models: Searching for the balance between demographic process representation and computational tractability A. Argles et al. 10.1371/journal.pclm.0000068
- How to measure the efficiency of bioenergy crops compared to forestation S. Egerer et al. 10.5194/bg-21-5005-2024
- Implementing a dynamic representation of fire and harvest including subgrid-scale heterogeneity in the tile-based land surface model CLASSIC v1.45 S. Curasi et al. 10.5194/gmd-17-2683-2024
- Ecosystem age-class dynamics and distribution in the LPJ-wsl v2.0 global ecosystem model L. Calle & B. Poulter 10.5194/gmd-14-2575-2021
- The ICON Earth System Model Version 1.0 J. Jungclaus et al. 10.1029/2021MS002813
- Evaluation of the coupling of EMACv2.55 to the land surface and vegetation model JSBACHv4 A. Martin et al. 10.5194/gmd-17-5705-2024
- Land Use Effects on Climate: Current State, Recent Progress, and Emerging Topics J. Pongratz et al. 10.1007/s40641-021-00178-y
- Future methane fluxes of peatlands are controlled by management practices and fluctuations in hydrological conditions due to climatic variability V. Tyystjärvi et al. 10.5194/bg-21-5745-2024
- Advances in Land Surface Modelling E. Blyth et al. 10.1007/s40641-021-00171-5
- Global climate change below 2 °C avoids large end century increases in burned area in Canada S. Curasi et al. 10.1038/s41612-024-00781-4
- Increasing the Depth of a Land Surface Model. Part I: Impacts on the Subsurface Thermal Regime and Energy Storage J. González-Rouco et al. 10.1175/JHM-D-21-0024.1
- Biophysical climate impact of forests with different age classes in mid- and high-latitude North America Z. Zhang et al. 10.1016/j.foreco.2021.119327
21 citations as recorded by crossref.
- Evaluating two soil carbon models within the global land surface model JSBACH using surface and spaceborne observations of atmospheric CO<sub>2</sub> T. Thum et al. 10.5194/bg-17-5721-2020
- A review of forest carbon cycle models on spatiotemporal scales J. Zhao et al. 10.1016/j.jclepro.2022.130692
- Effects of Increased Drought in Amazon Forests Under Climate Change: Separating the Roles of Canopy Responses and Soil Moisture H. Wey et al. 10.1029/2021JG006525
- Assessment of JSBACHv4.30 as a land component of ICON-ESM-V1 in comparison to its predecessor JSBACHv3.2 of MPI-ESM1.2 R. Schneck et al. 10.5194/gmd-15-8581-2022
- Modeling atmosphere–land interactions at a rainforest site – a case study using Amazon Tall Tower Observatory (ATTO) measurements and reanalysis data A. Schmitt et al. 10.5194/acp-23-9323-2023
- A Review of Machine Learning Applications in Land Surface Modeling S. Pal & P. Sharma 10.3390/earth2010011
- Integration of a Deep‐Learning‐Based Fire Model Into a Global Land Surface Model R. Son et al. 10.1029/2023MS003710
- Improving scalability of Earth system models through coarse-grained component concurrency – a case study with the ICON v2.6.5 modelling system L. Linardakis et al. 10.5194/gmd-15-9157-2022
- Biotic and Abiotic Factors Controlling Spatial Variation of Mean Carbon Turnover Time in Forest Soil J. Wang et al. 10.1029/2023JG007438
- Dynamic Global Vegetation Models: Searching for the balance between demographic process representation and computational tractability A. Argles et al. 10.1371/journal.pclm.0000068
- How to measure the efficiency of bioenergy crops compared to forestation S. Egerer et al. 10.5194/bg-21-5005-2024
- Implementing a dynamic representation of fire and harvest including subgrid-scale heterogeneity in the tile-based land surface model CLASSIC v1.45 S. Curasi et al. 10.5194/gmd-17-2683-2024
- Ecosystem age-class dynamics and distribution in the LPJ-wsl v2.0 global ecosystem model L. Calle & B. Poulter 10.5194/gmd-14-2575-2021
- The ICON Earth System Model Version 1.0 J. Jungclaus et al. 10.1029/2021MS002813
- Evaluation of the coupling of EMACv2.55 to the land surface and vegetation model JSBACHv4 A. Martin et al. 10.5194/gmd-17-5705-2024
- Land Use Effects on Climate: Current State, Recent Progress, and Emerging Topics J. Pongratz et al. 10.1007/s40641-021-00178-y
- Future methane fluxes of peatlands are controlled by management practices and fluctuations in hydrological conditions due to climatic variability V. Tyystjärvi et al. 10.5194/bg-21-5745-2024
- Advances in Land Surface Modelling E. Blyth et al. 10.1007/s40641-021-00171-5
- Global climate change below 2 °C avoids large end century increases in burned area in Canada S. Curasi et al. 10.1038/s41612-024-00781-4
- Increasing the Depth of a Land Surface Model. Part I: Impacts on the Subsurface Thermal Regime and Energy Storage J. González-Rouco et al. 10.1175/JHM-D-21-0024.1
- Biophysical climate impact of forests with different age classes in mid- and high-latitude North America Z. Zhang et al. 10.1016/j.foreco.2021.119327
Latest update: 30 Jan 2025
Short summary
Models need to account for forest age structures when investigating land use influences on land–atmosphere feedbacks. We present a consolidated scheme to introduce forest age classes, combining age-dependent simulations of important processes with the possibility to trace forest age, and describe its implementation in JSBACH4, the land surface model of the ICON Earth system model. We evaluate simulations with and without age classes demonstrating the benefit of forest age classes in JSBACH4.
Models need to account for forest age structures when investigating land use influences on...
