Output of two-phase Earth system model simulations for LAMACLIMA: idealized global land-use and high-ambition future mitigation land-use scenarios.

Acronym
LAMACLIMA
Name
Output of two-phase Earth system model simulations for LAMACLIMA: idealized global land-use and high-ambition future mitigation land-use scenarios.
Description
LAnd MAnagement for CLImate Mitigation and Adaptation (LAMACLIMA) enhances understanding of the coupled effects between climate and land cover/land management (LCLM), informing sustainable land-based adaptation and mitigation strategies. The project investigates both biogeophysical and biogeochemical impacts of LCLM on climate and economic outcomes.
Founder: JPI Climate - ERANET-Axis
Project website: https://climateanalytics.org/projects/lamaclima

Simulations are conducted in two phases using three ESMs: MPI-ESM-1.2, CESM2, and EC-Earth3-Veg (v3.3.3.1).

In Phase 1, simulations include four idealized global land-use scenarios and one reference control simulation (CTL). Simulations branch from the 2014 CMIP6 historical concentration-driven simulation and span 160 years, with anthropogenic and natural forcing held constant at 2014 levels. Four idealized global land-use scenarios include cropland expansion (CROP), re/afforestation (FRST), irrigation (IRR), and wood harvest (HARV). For further details, see:
De Hertog et al., 2023: https://doi.org/10.5194/esd-14-629-2023.
Guo et al., 2024 [preprint]: https://doi.org/10.5194/egusphere-2024-2387.

In Phase 2, simulations consist of four scenarios for each ESM: one present-day simulation (1980–2014) and three future simulations (2015–2100). Present-day simulations (presCTL) branch from in 1980 from the first three esm-hist simulations, producing three ensemble members per ESM. Future simulations (futCTL) are based on presCTL simulations under the RCP1.9 scenario, with land use held constant at the 2014 level. Two additional experiments with transient LUC are conducted under the RCP1.9 scenario, using land-use scenarios from Humpenöder et al. (2022): one following the inequality scenario (INEQ) and the other the sustainability scenario (SUST). For further details, see:
De Hertog et al., 2025: https://doi.org/10.1029/2024EF005021.
Humpenöder et al., 2022: https://doi.org/10.1038/s41467-022-35114-7.

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