Articles | Volume 14, issue 6
https://doi.org/10.5194/gmd-14-4117-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-14-4117-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
CM2Mc-LPJmL v1.0: biophysical coupling of a process-based dynamic vegetation model with managed land to a general circulation model
Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, 14412 Potsdam, Germany
Humboldt University of Berlin, Department of Physics,
12489 Berlin, Germany
Werner von Bloh
Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, 14412 Potsdam, Germany
Stefan Petri
Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, 14412 Potsdam, Germany
Boris Sakschewski
Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, 14412 Potsdam, Germany
Sibyll Schaphoff
Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, 14412 Potsdam, Germany
Matthias Forkel
Institute of Photogrammetry and Remote Sensing, Dresden University of Technology, 01069 Dresden, Germany
Willem Huiskamp
Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, 14412 Potsdam, Germany
Georg Feulner
Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, 14412 Potsdam, Germany
Kirsten Thonicke
Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, 14412 Potsdam, Germany
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Latest update: 15 Oct 2024
Short summary
In this study, we couple the well-established and comprehensively validated state-of-the-art dynamic LPJmL5 global vegetation model to the CM2Mc coupled climate model (CM2Mc-LPJmL v.1.0). Several improvements to LPJmL5 were implemented to allow a fully functional biophysical coupling. The new climate model is able to capture important biospheric processes, including fire, mortality, permafrost, hydrological cycling and the the impacts of managed land (crop growth and irrigation).
In this study, we couple the well-established and comprehensively validated state-of-the-art...
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