Articles | Volume 11, issue 4
https://doi.org/10.5194/gmd-11-1377-2018
© Author(s) 2018. 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-11-1377-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
LPJmL4 – a dynamic global vegetation model with managed land – Part 2: Model evaluation
Sibyll Schaphoff
CORRESPONDING AUTHOR
Potsdam Institute for Climate Impact Research, Telegraphenberg, P.O. Box 60 12 03, 14412 Potsdam, Germany
Matthias Forkel
TU Wien, Climate and Environmental Remote Sensing Group, Department of Geodesy and Geoinformation,
Gusshausstraße 25–29, 1040 Vienna, Austria
Christoph Müller
Potsdam Institute for Climate Impact Research, Telegraphenberg, P.O. Box 60 12 03, 14412 Potsdam, Germany
Jürgen Knauer
Max Planck Institute for Biogeochemistry, Hans-Knöll-Str. 10, 07745 Jena, Germany
Werner von Bloh
Potsdam Institute for Climate Impact Research, Telegraphenberg, P.O. Box 60 12 03, 14412 Potsdam, Germany
Dieter Gerten
Potsdam Institute for Climate Impact Research, Telegraphenberg, P.O. Box 60 12 03, 14412 Potsdam, Germany
Humboldt Universität zu Berlin, Department of Geography, Unter den Linden 6, 10099 Berlin, Germany
Jonas Jägermeyr
Potsdam Institute for Climate Impact Research, Telegraphenberg, P.O. Box 60 12 03, 14412 Potsdam, Germany
Wolfgang Lucht
Potsdam Institute for Climate Impact Research, Telegraphenberg, P.O. Box 60 12 03, 14412 Potsdam, Germany
Humboldt Universität zu Berlin, Department of Geography, Unter den Linden 6, 10099 Berlin, Germany
Anja Rammig
Technical University of Munich, School of Life Sciences Weihenstephan, 85354 Freising, Germany
Kirsten Thonicke
Potsdam Institute for Climate Impact Research, Telegraphenberg, P.O. Box 60 12 03, 14412 Potsdam, Germany
Katharina Waha
Potsdam Institute for Climate Impact Research, Telegraphenberg, P.O. Box 60 12 03, 14412 Potsdam, Germany
CSIRO Agriculture & Food, 306 Carmody Rd, St Lucia QLD 4067, Australia
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- A prototype Earth system impact metric that accounts for cross-scale interactions S. Lade et al. 10.1088/1748-9326/ac2db1
- The role of cover crops for cropland soil carbon, nitrogen leaching, and agricultural yields – a global simulation study with LPJmL (V. 5.0-tillage-cc) V. Porwollik et al. 10.5194/bg-19-957-2022
- Using long temporal reference units to assess the spatial accuracy of global satellite-derived burned area products M. Franquesa et al. 10.1016/j.rse.2021.112823
- Simulating functional diversity of European natural forests along climatic gradients K. Thonicke et al. 10.1111/jbi.13809
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- Physically constrained generative adversarial networks for improving precipitation fields from Earth system models P. Hess et al. 10.1038/s42256-022-00540-1
- LPJmL4 – a dynamic global vegetation model with managed land – Part 1: Model description S. Schaphoff et al. 10.5194/gmd-11-1343-2018
- Land management and climate change determine second‐generation bioenergy potential of the US Northern Great Plains K. Dolan et al. 10.1111/gcbb.12686
- Climate change critically affects the status of the land-system change planetary boundary A. Tobian et al. 10.1088/1748-9326/ad40c2
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- Projected landscape-scale repercussions of global action for climate and biodiversity protection P. von Jeetze et al. 10.1038/s41467-023-38043-1
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- Constraining modelled global vegetation dynamics and carbon turnover using multiple satellite observations M. Forkel et al. 10.1038/s41598-019-55187-7
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- Simulating the effect of tillage practices with the global ecosystem model LPJmL (version 5.0-tillage) F. Lutz et al. 10.5194/gmd-12-2419-2019
- Irrigation water consumption of irrigated cropland and its dominant factor in China from 1982 to 2015 L. Yin et al. 10.1016/j.advwatres.2020.103661
- African rainforest moisture contribution to continental agricultural water consumption M. Nyasulu et al. 10.1016/j.agrformet.2023.109867
- Options to model the effects of tillage on N2O emissions at the global scale F. Lutz et al. 10.1016/j.ecolmodel.2018.11.015
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- Implementing the nitrogen cycle into the dynamic global vegetation, hydrology, and crop growth model LPJmL (version 5.0) W. von Bloh et al. 10.5194/gmd-11-2789-2018
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- The global water resources and use model WaterGAP v2.2d: model description and evaluation H. Müller Schmied et al. 10.5194/gmd-14-1037-2021
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- The role of low temperatures, water availability and fire for the grassland biome border in South Africa M. Thavhana et al. 10.1016/j.sajb.2024.07.017
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- CO2 fertilization effect may balance climate change impacts on oil palm cultivation T. Beringer et al. 10.1088/1748-9326/accbd5
- Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models M. Forkel et al. 10.5194/bg-16-57-2019
- Potential yield simulated by global gridded crop models: using a process-based emulator to explain their differences B. Ringeval et al. 10.5194/gmd-14-1639-2021
- LandInG 1.0: a toolbox to derive input datasets for terrestrial ecosystem modelling at variable resolutions from heterogeneous sources S. Ostberg et al. 10.5194/gmd-16-3375-2023
- The perfect storm? Co-occurring climate extremes in East Africa D. Muheki et al. 10.5194/esd-15-429-2024
- Technical and Economic Irrigation Potentials Within Land and Water Boundaries F. Beier et al. 10.1029/2021WR031924
Latest update: 01 Nov 2024
Short summary
Here we provide a comprehensive evaluation of the now launched version 4.0 of the LPJmL biosphere, water, and agricultural model. The article is the second part to a comprehensive description of the LPJmL4 model. We have evaluated the model against various datasets of satellite observations, agricultural statistics, and in situ measurements by applying a range of metrics. We are able to show that the LPJmL4 model simulates many parameters and relations reasonably.
Here we provide a comprehensive evaluation of the now launched version 4.0 of the LPJmL...
Special issue