LPJmL version 6.0.0, implementation of wetland and methane version

Source code of the LPJmL model version 6.0.0, which is a newly developed methane-enabled model version with dynamic wetlands ¹.
This version is based on version 5.10.2, built on the combination of LPJmL4 ² and LPJmL5 ³ and various model feature developments, including tillage ⁴, forest ⁵, tea ⁶, cotton ⁷, and oil palm ⁸ plantations, cover crops ⁹, livestock grazing ¹⁰, carbon-costly biological nitrogen fixation (BNF) ¹¹, and a fix to the nitrogen demand and uptake dynamics ¹².

See the CHANGELOG.md for latest version descriptions.

1. Schaphoff et al. in prep. ↩

2. Schaphoff et al. 2018: http://dx.doi.org/10.5194/gmd-11-1343-2018 ↩

3. von Bloh et al. 2018: http://dx.doi.org/10.5194/gmd-11-2789-2018 ↩

4. Lutz et al. 2019: http://dx.doi.org/10.5194/gmd-12-2419-2019 ↩

5. Braakhekke et al. 2019: http://dx.doi.org/10.5194/esd-10-617-2019 ↩

6. Beringer et al. 2020: http://dx.doi.org/10.1088/1748-9326/ab649b ↩

7. Jans et al. 2019: http://dx.doi.org/10.5194/hess-25-2027-2021 ↩

8. Beringer et al. 2023: https://doi.org/10.1088/1748-9326/accbd5 ↩

9. Porwollik et al. 2022: https://dx.doi.org/10.5194/bg-19-957-2022 ↩

10. Heinke et al. 2023: https://doi.org/10.5194/gmd-16-2455-2023 ↩

11. Wirth et al. 2024: https://doi.org/10.5194/gmd-17-7889-2024 ↩

12. Heinke et al. in prep. ↩

LPJmL version 5.10.0, master branch version, last release of version 5, basis for TRENDY simulations 2025

Source code of the LPJmL model version 5.10.0, which was used as the code basis for the Global Carbon Budget 2025 estimates ¹ with LPJmL.
This version is based on the combination of LPJmL4 ² and LPJmL5 ³ and various model feature developments, including tillage ⁴, forest ⁵, tea ⁶, cotton ⁷, and oil palm ⁸ plantations, cover crops ⁹, livestock grazing ¹⁰, carbon-costly biological nitrogen fixation (BNF) ¹¹, and a fix to the nitrogen demand and uptake dynamics ¹².

See the CHANGELOG.md for latest version descriptions.

1. Friedlingstein et al. 2025: https://doi.org/10.5194/essd-2025-659 ↩

2. Schaphoff et al. 2018: http://dx.doi.org/10.5194/gmd-11-1343-2018 ↩

3. von Bloh et al. 2018: http://dx.doi.org/10.5194/gmd-11-2789-2018 ↩

4. Lutz et al. 2019: http://dx.doi.org/10.5194/gmd-12-2419-2019 ↩

5. Braakhekke et al. 2019: http://dx.doi.org/10.5194/esd-10-617-2019 ↩

6. Beringer et al. 2020: http://dx.doi.org/10.1088/1748-9326/ab649b ↩

7. Jans et al. 2019: http://dx.doi.org/10.5194/hess-25-2027-2021 ↩

8. Beringer et al. 2023: https://doi.org/10.1088/1748-9326/accbd5 ↩

9. Porwollik et al. 2022: https://dx.doi.org/10.5194/bg-19-957-2022 ↩

10. Heinke et al. 2023: https://doi.org/10.5194/gmd-16-2455-2023 ↩

11. Wirth et al. 2024: https://doi.org/10.5194/gmd-17-7889-2024 ↩

12. Heinke et al. in prep. ↩

LPJmL v5.7.9, master branch version, which includes the C-costly BNF version used by Wirth et al. 2024

Source code of LPJmL as used the the C-costly BNF module description paper by Wirth et al. (2024) ¹.

See the CHANGELOG.md for latest version descriptions.

1. Wirth et al. 2024: https://doi.org/10.5194/egusphere-2023-2946 ↩

LPJmL v5.7.5 master branch basis for TRENDY 2023 simulations

Source code of the LPJmL model version 5.7.5, which was used as the code basis for the Global Carbon Budget 2023 estimates ¹ with LPJmL.
This version is based on the combination of LPJmL4 ² and LPJmL5 ³ and various model feature developments, including tillage ⁴, forest ⁵, tea ⁶, cotton ⁷, and oil palm ⁸ plantations, cover crops ⁹, livestock grazing ¹⁰, as well as carbon-costly biological nitrogen fixation (BNF) ¹¹.

See the CHANGELOG.md for latest version descriptions.

1. Friedlingstein et al. 2023: https://doi.org/10.5194/essd-15-5301-2023 ↩

2. Schaphoff et al. 2018: http://dx.doi.org/10.5194/gmd-11-1343-2018 ↩

3. von Bloh et al. 2018: http://dx.doi.org/10.5194/gmd-11-2789-2018 ↩

4. Lutz et al. 2019: http://dx.doi.org/10.5194/gmd-12-2419-2019 ↩

5. Braakhekke et al. 2019: http://dx.doi.org/10.5194/esd-10-617-2019 ↩

6. Beringer et al. 2020: http://dx.doi.org/10.1088/1748-9326/ab649b ↩

7. Jans et al. 2019: http://dx.doi.org/10.5194/hess-25-2027-2021 ↩

8. Beringer et al. 2023: https://doi.org/10.1088/1748-9326/accbd5 ↩

9. Porwollik et al. 2022: https://dx.doi.org/10.5194/bg-19-957-2022 ↩

10. Heinke et al. 2023: https://doi.org/10.5194/gmd-16-2455-2023 ↩

11. Wirth et al. 2024: submitted to GMD ↩

Original source code as used in Drüke et al. 2019, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-92

Original source code as used in Drüke et al. 2019, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-92

Reference:

• Drüke, M., Forkel, M., von Bloh, W., Sakschewski, B., Cardoso, M., Bustamante, M., Kurths, J., and Thonicke, K.: Improving the LPJmL4-SPITFIRE vegetation-fire model for South America using satellite data, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-92

bugfixes, Version 4.0.002

various bug-fixes made by the LPJmL group at PIK, most importantly for spitfire
also enabling JSON based config files

Original source code as described in Schaphoff et al. 2018, doi:10.5194/gmd-11-1343-2018

This is the original open-source code release of the LPJmL version 4.0 code, as described by Schaphoff et al. (2018a) and evaluated by Schaphoff et al. (2018b). For technical reasons, the repository was moved from https://gitlab.pik-potsdam.de to https://github.com/PIK-LPJmL/LPJmL.

References

• Schaphoff S, von Bloh W, Rammig A, Thonicke K, Biemans H, Forkel M, Gerten D, Heinke J, Jägermeyr J, Knauer J, Langerwisch F, Lucht W, Müller C, Rolinski S, and Waha K. 2018a, LPJmL4 – a dynamic global vegetation model with managed land – Part 1: Model description, Geosci. Model Dev., 11, 1343-1375, doi: 10.5194/gmd-11-1343-2018
• Schaphoff S, Forkel M, Müller C, Knauer J, von Bloh W, Gerten D, Jägermeyr J, Lucht W, Rammig A, Thonicke K, and Waha K. 2018b, LPJmL4 – a dynamic global vegetation model with managed land – Part 2: Model evaluation, Geosci. Model Dev., 11, 1377-1403, doi: 10.5194/gmd-11-1377-2018