LPJmL4 – a dynamic global vegetation model with managed land – Part 2: Model evaluation
The dynamic global vegetation model LPJmL4 is a process-based model that simulates climate and land use change impacts on the terrestrial biosphere, agricultural production, and the water and carbon cycle. Different versions of the model have been developed and applied to evaluate the role of natura...
Published in: | Geoscientific Model Development |
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Copernicus Publications (EGU)
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Online Access: | https://oceanrep.geomar.de/id/eprint/44299/ https://oceanrep.geomar.de/id/eprint/44299/1/gmd-11-1377-2018.pdf https://oceanrep.geomar.de/id/eprint/44299/2/gmd-11-1377-2018-supplement.pdf https://doi.org/10.5194/gmd-11-1377-2018 |
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ftoceanrep:oai:oceanrep.geomar.de:44299 2023-05-15T17:57:58+02:00 LPJmL4 – a dynamic global vegetation model with managed land – Part 2: Model evaluation Schaphoff, Sibyll Forkel, Matthias Müller, Christoph Knauer, Jürgen von Bloh, Werner Gerten, Dieter Jägermeyr, Jonas Lucht, Wolfgang Rammig, Anja Thonicke, Kirsten Waha, Katharina 2018-04-12 text https://oceanrep.geomar.de/id/eprint/44299/ https://oceanrep.geomar.de/id/eprint/44299/1/gmd-11-1377-2018.pdf https://oceanrep.geomar.de/id/eprint/44299/2/gmd-11-1377-2018-supplement.pdf https://doi.org/10.5194/gmd-11-1377-2018 en eng Copernicus Publications (EGU) https://oceanrep.geomar.de/id/eprint/44299/1/gmd-11-1377-2018.pdf https://oceanrep.geomar.de/id/eprint/44299/2/gmd-11-1377-2018-supplement.pdf Schaphoff, S., Forkel, M., Müller, C., Knauer, J., von Bloh, W., Gerten, D., Jägermeyr, J., Lucht, W., Rammig, A., Thonicke, K. and Waha, K. (2018) LPJmL4 – a dynamic global vegetation model with managed land – Part 2: Model evaluation. Open Access Geoscientific Model Development, 11 (4). pp. 1377-1403. DOI 10.5194/gmd-11-1377-2018 <https://doi.org/10.5194/gmd-11-1377-2018>. doi:10.5194/gmd-11-1377-2018 cc_by_3.0 info:eu-repo/semantics/openAccess Article PeerReviewed 2018 ftoceanrep https://doi.org/10.5194/gmd-11-1377-2018 2023-04-07T15:41:22Z The dynamic global vegetation model LPJmL4 is a process-based model that simulates climate and land use change impacts on the terrestrial biosphere, agricultural production, and the water and carbon cycle. Different versions of the model have been developed and applied to evaluate the role of natural and managed ecosystems in the Earth system and the potential impacts of global environmental change. A comprehensive model description of the new model version, LPJmL4, is provided in a companion paper (Schaphoff et al., 2018c). Here, we provide a full picture of the model performance, going beyond standard benchmark procedures and give hints on the strengths and shortcomings of the model to identify the need for further model improvement. Specifically, we evaluate LPJmL4 against various datasets from in situ measurement sites, satellite observations, and agricultural yield statistics. We apply a range of metrics to evaluate the quality of the model to simulate stocks and flows of carbon and water in natural and managed ecosystems at different temporal and spatial scales. We show that an advanced phenology scheme improves the simulation of seasonal fluctuations in the atmospheric CO2 concentration, while the permafrost scheme improves estimates of carbon stocks. The full LPJmL4 code including the new developments will be supplied open source through https://gitlab.pik-potsdam.de/lpjml/LPJmL. We hope that this will lead to new model developments and applications that improve the model performance and possibly build up a new understanding of the terrestrial biosphere. Article in Journal/Newspaper permafrost OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) Geoscientific Model Development 11 4 1377 1403 |
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OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) |
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English |
description |
The dynamic global vegetation model LPJmL4 is a process-based model that simulates climate and land use change impacts on the terrestrial biosphere, agricultural production, and the water and carbon cycle. Different versions of the model have been developed and applied to evaluate the role of natural and managed ecosystems in the Earth system and the potential impacts of global environmental change. A comprehensive model description of the new model version, LPJmL4, is provided in a companion paper (Schaphoff et al., 2018c). Here, we provide a full picture of the model performance, going beyond standard benchmark procedures and give hints on the strengths and shortcomings of the model to identify the need for further model improvement. Specifically, we evaluate LPJmL4 against various datasets from in situ measurement sites, satellite observations, and agricultural yield statistics. We apply a range of metrics to evaluate the quality of the model to simulate stocks and flows of carbon and water in natural and managed ecosystems at different temporal and spatial scales. We show that an advanced phenology scheme improves the simulation of seasonal fluctuations in the atmospheric CO2 concentration, while the permafrost scheme improves estimates of carbon stocks. The full LPJmL4 code including the new developments will be supplied open source through https://gitlab.pik-potsdam.de/lpjml/LPJmL. We hope that this will lead to new model developments and applications that improve the model performance and possibly build up a new understanding of the terrestrial biosphere. |
format |
Article in Journal/Newspaper |
author |
Schaphoff, Sibyll Forkel, Matthias Müller, Christoph Knauer, Jürgen von Bloh, Werner Gerten, Dieter Jägermeyr, Jonas Lucht, Wolfgang Rammig, Anja Thonicke, Kirsten Waha, Katharina |
spellingShingle |
Schaphoff, Sibyll Forkel, Matthias Müller, Christoph Knauer, Jürgen von Bloh, Werner Gerten, Dieter Jägermeyr, Jonas Lucht, Wolfgang Rammig, Anja Thonicke, Kirsten Waha, Katharina LPJmL4 – a dynamic global vegetation model with managed land – Part 2: Model evaluation |
author_facet |
Schaphoff, Sibyll Forkel, Matthias Müller, Christoph Knauer, Jürgen von Bloh, Werner Gerten, Dieter Jägermeyr, Jonas Lucht, Wolfgang Rammig, Anja Thonicke, Kirsten Waha, Katharina |
author_sort |
Schaphoff, Sibyll |
title |
LPJmL4 – a dynamic global vegetation model with managed land – Part 2: Model evaluation |
title_short |
LPJmL4 – a dynamic global vegetation model with managed land – Part 2: Model evaluation |
title_full |
LPJmL4 – a dynamic global vegetation model with managed land – Part 2: Model evaluation |
title_fullStr |
LPJmL4 – a dynamic global vegetation model with managed land – Part 2: Model evaluation |
title_full_unstemmed |
LPJmL4 – a dynamic global vegetation model with managed land – Part 2: Model evaluation |
title_sort |
lpjml4 – a dynamic global vegetation model with managed land – part 2: model evaluation |
publisher |
Copernicus Publications (EGU) |
publishDate |
2018 |
url |
https://oceanrep.geomar.de/id/eprint/44299/ https://oceanrep.geomar.de/id/eprint/44299/1/gmd-11-1377-2018.pdf https://oceanrep.geomar.de/id/eprint/44299/2/gmd-11-1377-2018-supplement.pdf https://doi.org/10.5194/gmd-11-1377-2018 |
genre |
permafrost |
genre_facet |
permafrost |
op_relation |
https://oceanrep.geomar.de/id/eprint/44299/1/gmd-11-1377-2018.pdf https://oceanrep.geomar.de/id/eprint/44299/2/gmd-11-1377-2018-supplement.pdf Schaphoff, S., Forkel, M., Müller, C., Knauer, J., von Bloh, W., Gerten, D., Jägermeyr, J., Lucht, W., Rammig, A., Thonicke, K. and Waha, K. (2018) LPJmL4 – a dynamic global vegetation model with managed land – Part 2: Model evaluation. Open Access Geoscientific Model Development, 11 (4). pp. 1377-1403. DOI 10.5194/gmd-11-1377-2018 <https://doi.org/10.5194/gmd-11-1377-2018>. doi:10.5194/gmd-11-1377-2018 |
op_rights |
cc_by_3.0 info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/gmd-11-1377-2018 |
container_title |
Geoscientific Model Development |
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11 |
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4 |
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