MPI-ESM-1.2 output of LAMACLIMA work package 1 (WP1): idealized global land-use scenarios, including cropland expansion, re-/afforestation, irrigation, wood harvest, and reference control

DOI

This dataset comprises MPI-ESM-1.2 output from WP1 scenarios of the LAMACLIMA project. In LAMACLIMA, we analyzed the role of land use for global mitigation and local adaptation strategies and its impacts on local and remote climate and the carbon cycle across Earth system models (ESMs). Work package 1 (WP1) simulations of LAMACLIMA project consist of land-use-induced climate and carbon change sensitivity experiments. The scenarios do not represent realistic or policy relevant realizations. Instead, they simulate globally idealized constant land-use changes under present-day environmental conditions. This approach offers two main advantages. First, large-scale land-use simulations enhance the signal-to-noise ratio, enabling a clearer evaluation of the upper bound of potential impacts, despite their idealized nature. Second, applying global rather than regionally constrained changes permits a more comprehensive and comparative assessment of land-use impacts worldwide. The WP1 simulations consist of the five scenarios (CTL, CROP, FRST, IRR, and HARV); for example, “MPI-ESM-1.2 output of LAMACLIMA work package 1 (WP1): idealized constant global re-/afforestation (FRST) under present-day environmental conditions”.

                We use the MPI-ESM-1.2-LR climate model, which includes the following model components:
                - Atmosphere model: ECHAM6.3 (Triangular truncation: T63, approx. 1.88°×1.88°, 200 km; 47 vertical levels)
                - Land model: JSBACH3.2 (Triangular truncation: T63, approx. 1.88°×1.88°, 200 km)
                - Ocean dynamical model: MPIOM1.6 (GR1.5, approx. 150 km; 40 vertical levels)
                - Ocean biogeochemistry model: HAMOCC6
                - Coupler: OASIS3-MCT
                We ran the land model JSBACH3.2 with the following options:
                - use_dynveg = false
                - use_disturbance = true
                - lcc_forcing_type = transitions
                - lcc_scheme = 2
                The MPI-ESM output from the different model components was post-processed using the Climate Model Output Rewriter (CMOR) in accordance with CMIP data conventions.
                For further details, see:
                Mauritsen et al., 2019: https://doi.org/10.1029/2018MS001400
Identifier
DOI https://doi.org/10.26050/WDCC/LC_WP1_MP
Metadata Access https://dmoai.cloud.dkrz.de/oai/provider?verb=GetRecord&metadataPrefix=iso19115&identifier=oai:wdcc.dkrz.de:iso_5285585
Provenance
Creator Suqi Guo; Felix Havermann; Steven De Hertog; Fei Luo; Iris Manola; Wim Thiery; Quentin Lejeune; Dr. Carl-Friedrich Schleussner; Prof. Julia Pongratz; Gereon Seeberg
Publisher World Data Center for Climate (WDCC)
Publication Year 2025
Funding Reference info:eu-repo/grantAgreement/BMBF//01LS1905B/DE//AXIS: Landmanagementstrategien zur Klimavermeidung und Klimaanpassung (LAMACLIMA) - Teilprojekt 2: Integrierte Analyse der sektorübergreifenden Wechselwirkungen info:eu-repo/grantAgreement/BMBF//01LS1905C/DE//AXIS: Landmanagementstrategien zur Klimavermeidung und Klimaanpassung (LAMACLIMA) - Teilprojekt 3: Agrar-ökonomische Modellierung und integrierte Analyse info:eu-repo/grantAgreement/not filled//300478/NO//LAnd MAnagement for CLImate Mitigation and Adaptation info:eu-repo/grantAgreement/BELSPO//B2%2F181%2FP1/BE//LAnd MAnagement for CLImate Mitigation and Adaptation (LAMACLIMA) info:eu-repo/grantAgreement/NWO//438.19.904/NL//LAnd MAnagement for CLImate Mitigation and Adaptation (LAMACLIMA) info:eu-repo/grantAgreement/EC/H2020/776608/BE//Assessment of Cross(X)-sectoral climate Impacts and pathways for Sustainable transformation info:eu-repo/grantAgreement/BMBF//01LS1905A/DE//AXIS: Landmanagementstrategien zur Klimavermeidung und Klimaanpassung (LAMACLIMA) - Teilprojekt 1: Koordination, Stakeholder-Einbindung, Emulator- und Szenarien-Entwicklung
Rights CC-BY-4.0: Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact not filled; https://www.ugent.be/en; https://www.vu.nl/en; http://climateanalytics.org
Representation
Language English
Resource Type collection ; collection
Format NetCDF
Size 27906282 MB
Version 1
Discipline Environmental Research; Geosciences; Land Use; Natural Sciences
Spatial Coverage (-180.000W, -90.000S, 180.000E, 90.000N)
Temporal Coverage Begin 2015-01-01T00:00:00Z
Temporal Coverage End 2175-12-31T00:00:00Z