LPJmL4 Model Code
Abstract LPJmL4 is a process-based model that simulates climate and land-use change impacts on the terrestrial biosphere, the water and carbon cycle and on agricultural production. The LPJmL4 model combines plant physiological relations, generalized empirically established functions and plant trait...
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GFZ Data Services
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Online Access: | https://doi.org/10.5880/pik.2018.002 |
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ftgfzpotsdamdata:oai:doidb.wdc-terra.org:6359 2023-05-15T17:58:13+02:00 LPJmL4 Model Code Schaphoff (Ed.), Sibyll von Bloh, Werner Thonicke, Kirsten Biemans, Hester Forkel, Matthias Gerten, Dieter Heinke, Jens Jägermeyr, Jonas Müller, Christoph Rolinski, Susanne Waha, Katharina Stehfest, Elke de Waal, Liesbeth Heyder, Ursula Gumpenberger, Marlies Beringer, Tim -180 180 -90 90 global data in annual and monthly resolution and 0.5° spatial resolution 2018 1446610 Bytes 4 Files application/x-gzip application/octet-stream text/plain https://doi.org/10.5880/pik.2018.002 en eng GFZ Data Services doi:10.5194/gmd-11-1343-2018 doi:10.5194/gmd-11-1377-2018 doi:10.5880/pik.2017.009 doi:10.5880/PIK.2018.011 http://dx.doi.org/10.5880/pik.2018.002 doi:10.5880/pik.2018.002 GNU Affero General Public License, Version 3, 19 November 2007, Copyright Potsdam Institute for Climate Impact Research https://www.gnu.org/licenses/agpl soil carbon vegetation carbon global carbon balance permafrost distribution discharge fractional burned area crop yields global dynamic vegetation model vegetation dynamics LPJmL4 EARTH SCIENCE > AGRICULTURE > PLANT COMMODITIES > FIELD CROP PRODUCTS EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > RUNOFF EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > FIRE ECOLOGY > FIRE OCCURRENCE EARTH SCIENCE > BIOSPHERE > VEGETATION > CARBON EARTH SCIENCE > BIOSPHERE > VEGETATION > BIOMASS EARTH SCIENCE SERVICES > MODELS > HYDROLOGIC AND TERRESTRIAL WATER CYCLE MODELS EARTH SCIENCE SERVICES > MODELS > DYNAMIC VEGETATION/ECOSYSTEM MODELS Software 2018 ftgfzpotsdamdata https://doi.org/10.5880/pik.2018.002 https://doi.org/10.5194/gmd-11-1343-2018 https://doi.org/10.5194/gmd-11-1377-2018 https://doi.org/10.5880/pik.2017.009 https://doi.org/10.5880/PIK.2018.011 2022-03-10T11:14:39Z Abstract LPJmL4 is a process-based model that simulates climate and land-use change impacts on the terrestrial biosphere, the water and carbon cycle and on agricultural production. The LPJmL4 model combines plant physiological relations, generalized empirically established functions and plant trait parameters. The model incorporates dynamic land use at the global scale and is also able to simulate the production of woody and herbaceous short-rotation bio-energy plantations. Grid cells may contain one or several types of natural or agricultural vegetation. A comprehensive description of the model is given by Schaphoff et al. (2017a, http://doi.org/10.5194/gmd-2017-145).We here present the LPJmL4 model code described and used by the publications in GMD: LPJmL4 - a dynamic global vegetation model with managed land: Part I – Model description and Part II – Model evaluation (Schaphoff et al. 2018a and b, http://doi.org/10.5194/gmd-2017-145 and http://doi.org/10.5194/gmd-2017-146).The model code of LPJmL4 is programmed in C and can be run in parallel mode using MPI. Makefiles are provided for different platforms. Further informations on how to run LPJmL4 is given in the INSTALL file. Additionally to the publication a html documentation and man pages are provided. Additionally, LPJmL4 can be download from the Gitlab repository: https://gitlab.pik-potsdam.de/lpjml/LPJmL. Further developments of LPJmL will be published through this Gitlab repository regularly. Software permafrost GFZ Data Services (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) |
institution |
Open Polar |
collection |
GFZ Data Services (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) |
op_collection_id |
ftgfzpotsdamdata |
language |
English |
topic |
soil carbon vegetation carbon global carbon balance permafrost distribution discharge fractional burned area crop yields global dynamic vegetation model vegetation dynamics LPJmL4 EARTH SCIENCE > AGRICULTURE > PLANT COMMODITIES > FIELD CROP PRODUCTS EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > RUNOFF EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > FIRE ECOLOGY > FIRE OCCURRENCE EARTH SCIENCE > BIOSPHERE > VEGETATION > CARBON EARTH SCIENCE > BIOSPHERE > VEGETATION > BIOMASS EARTH SCIENCE SERVICES > MODELS > HYDROLOGIC AND TERRESTRIAL WATER CYCLE MODELS EARTH SCIENCE SERVICES > MODELS > DYNAMIC VEGETATION/ECOSYSTEM MODELS |
spellingShingle |
soil carbon vegetation carbon global carbon balance permafrost distribution discharge fractional burned area crop yields global dynamic vegetation model vegetation dynamics LPJmL4 EARTH SCIENCE > AGRICULTURE > PLANT COMMODITIES > FIELD CROP PRODUCTS EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > RUNOFF EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > FIRE ECOLOGY > FIRE OCCURRENCE EARTH SCIENCE > BIOSPHERE > VEGETATION > CARBON EARTH SCIENCE > BIOSPHERE > VEGETATION > BIOMASS EARTH SCIENCE SERVICES > MODELS > HYDROLOGIC AND TERRESTRIAL WATER CYCLE MODELS EARTH SCIENCE SERVICES > MODELS > DYNAMIC VEGETATION/ECOSYSTEM MODELS Schaphoff (Ed.), Sibyll von Bloh, Werner Thonicke, Kirsten Biemans, Hester Forkel, Matthias Gerten, Dieter Heinke, Jens Jägermeyr, Jonas Müller, Christoph Rolinski, Susanne Waha, Katharina Stehfest, Elke de Waal, Liesbeth Heyder, Ursula Gumpenberger, Marlies Beringer, Tim LPJmL4 Model Code |
topic_facet |
soil carbon vegetation carbon global carbon balance permafrost distribution discharge fractional burned area crop yields global dynamic vegetation model vegetation dynamics LPJmL4 EARTH SCIENCE > AGRICULTURE > PLANT COMMODITIES > FIELD CROP PRODUCTS EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > RUNOFF EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > FIRE ECOLOGY > FIRE OCCURRENCE EARTH SCIENCE > BIOSPHERE > VEGETATION > CARBON EARTH SCIENCE > BIOSPHERE > VEGETATION > BIOMASS EARTH SCIENCE SERVICES > MODELS > HYDROLOGIC AND TERRESTRIAL WATER CYCLE MODELS EARTH SCIENCE SERVICES > MODELS > DYNAMIC VEGETATION/ECOSYSTEM MODELS |
description |
Abstract LPJmL4 is a process-based model that simulates climate and land-use change impacts on the terrestrial biosphere, the water and carbon cycle and on agricultural production. The LPJmL4 model combines plant physiological relations, generalized empirically established functions and plant trait parameters. The model incorporates dynamic land use at the global scale and is also able to simulate the production of woody and herbaceous short-rotation bio-energy plantations. Grid cells may contain one or several types of natural or agricultural vegetation. A comprehensive description of the model is given by Schaphoff et al. (2017a, http://doi.org/10.5194/gmd-2017-145).We here present the LPJmL4 model code described and used by the publications in GMD: LPJmL4 - a dynamic global vegetation model with managed land: Part I – Model description and Part II – Model evaluation (Schaphoff et al. 2018a and b, http://doi.org/10.5194/gmd-2017-145 and http://doi.org/10.5194/gmd-2017-146).The model code of LPJmL4 is programmed in C and can be run in parallel mode using MPI. Makefiles are provided for different platforms. Further informations on how to run LPJmL4 is given in the INSTALL file. Additionally to the publication a html documentation and man pages are provided. Additionally, LPJmL4 can be download from the Gitlab repository: https://gitlab.pik-potsdam.de/lpjml/LPJmL. Further developments of LPJmL will be published through this Gitlab repository regularly. |
format |
Software |
author |
Schaphoff (Ed.), Sibyll von Bloh, Werner Thonicke, Kirsten Biemans, Hester Forkel, Matthias Gerten, Dieter Heinke, Jens Jägermeyr, Jonas Müller, Christoph Rolinski, Susanne Waha, Katharina Stehfest, Elke de Waal, Liesbeth Heyder, Ursula Gumpenberger, Marlies Beringer, Tim |
author_facet |
Schaphoff (Ed.), Sibyll von Bloh, Werner Thonicke, Kirsten Biemans, Hester Forkel, Matthias Gerten, Dieter Heinke, Jens Jägermeyr, Jonas Müller, Christoph Rolinski, Susanne Waha, Katharina Stehfest, Elke de Waal, Liesbeth Heyder, Ursula Gumpenberger, Marlies Beringer, Tim |
author_sort |
Schaphoff (Ed.), Sibyll |
title |
LPJmL4 Model Code |
title_short |
LPJmL4 Model Code |
title_full |
LPJmL4 Model Code |
title_fullStr |
LPJmL4 Model Code |
title_full_unstemmed |
LPJmL4 Model Code |
title_sort |
lpjml4 model code |
publisher |
GFZ Data Services |
publishDate |
2018 |
url |
https://doi.org/10.5880/pik.2018.002 |
op_coverage |
-180 180 -90 90 global data in annual and monthly resolution and 0.5° spatial resolution |
genre |
permafrost |
genre_facet |
permafrost |
op_relation |
doi:10.5194/gmd-11-1343-2018 doi:10.5194/gmd-11-1377-2018 doi:10.5880/pik.2017.009 doi:10.5880/PIK.2018.011 http://dx.doi.org/10.5880/pik.2018.002 doi:10.5880/pik.2018.002 |
op_rights |
GNU Affero General Public License, Version 3, 19 November 2007, Copyright Potsdam Institute for Climate Impact Research https://www.gnu.org/licenses/agpl |
op_doi |
https://doi.org/10.5880/pik.2018.002 https://doi.org/10.5194/gmd-11-1343-2018 https://doi.org/10.5194/gmd-11-1377-2018 https://doi.org/10.5880/pik.2017.009 https://doi.org/10.5880/PIK.2018.011 |
_version_ |
1766166780865150976 |