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...
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Online Access: | https://doi.org/10.5194/gmd-11-1377-2018 https://hdl.handle.net/1959.7/uws:66319 |
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ftunivwestsyd:oai:researchdirect.westernsydney.edu.au:uws_66319 2023-05-15T17:58:01+02:00 LPJmL4 - A dynamic global vegetation model with managed land - Part 2: Model evaluation Schaphoff, Sybill Forkel, Matthias Müller, Christoph Knauer, Jurgen (R18991) von Bloh, Werner Gerten, Dieter Jägermeyr, Jonas Lucht, Wolfgang Rammig, Anja Thonicke, Kirsten Waha, Katharina 2018 print 27 https://doi.org/10.5194/gmd-11-1377-2018 https://hdl.handle.net/1959.7/uws:66319 eng eng Germany, Copernicus Geoscientific Model Development--1991-959X--1991-9603 Vol. 11 Issue. 4 No. pp: 1377-1403 © Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/ 4.0/). CC-BY XXXXXX - Unknown journal article 2018 ftunivwestsyd https://doi.org/10.5194/gmd-11-1377-2018 2022-08-08T22:25:22Z 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 University of Western Sydney (UWS): Research Direct Geoscientific Model Development 11 4 1377 1403 |
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University of Western Sydney (UWS): Research Direct |
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English |
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XXXXXX - Unknown Schaphoff, Sybill Forkel, Matthias Müller, Christoph Knauer, Jurgen (R18991) 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 |
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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, Sybill Forkel, Matthias Müller, Christoph Knauer, Jurgen (R18991) von Bloh, Werner Gerten, Dieter Jägermeyr, Jonas Lucht, Wolfgang Rammig, Anja Thonicke, Kirsten Waha, Katharina |
author_facet |
Schaphoff, Sybill Forkel, Matthias Müller, Christoph Knauer, Jurgen (R18991) von Bloh, Werner Gerten, Dieter Jägermeyr, Jonas Lucht, Wolfgang Rammig, Anja Thonicke, Kirsten Waha, Katharina |
author_sort |
Schaphoff, Sybill |
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 |
Germany, Copernicus |
publishDate |
2018 |
url |
https://doi.org/10.5194/gmd-11-1377-2018 https://hdl.handle.net/1959.7/uws:66319 |
genre |
permafrost |
genre_facet |
permafrost |
op_relation |
Geoscientific Model Development--1991-959X--1991-9603 Vol. 11 Issue. 4 No. pp: 1377-1403 |
op_rights |
© Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/ 4.0/). |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/gmd-11-1377-2018 |
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Geoscientific Model Development |
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11 |
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4 |
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1377 |
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1403 |
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1766166538307502080 |