LPJmL4 model output for the publications in GMD: LPJmL4 - a dynamic global vegetation model with managed land: Part I – Model description and Part II – Model evaluation

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 parameter...

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Main Authors: Schaphoff Ed., Sibyll, von Bloh, Werner, Rammig, Anja, Thonicke, Kirsten, Biemans, Hester, Forkel, Matthias, Gerten, Dieter, Heinke, Jens, Jägermeyr, Jonas, Knauer, Jürgen, Langerwisch, Fanny, Lucht, Wolfgang, Müller, Christoph, Rolinski, Susanne, Waha, Katharina
Format: Dataset
Language:English
Published: GFZ Data Services 2018
Subjects:
Online Access:https://dx.doi.org/10.5880/pik.2017.009
http://dataservices.gfz-potsdam.de/pik/showshort.php?id=escidoc:2762899
id ftdatacite:10.5880/pik.2017.009
record_format openpolar
spelling ftdatacite:10.5880/pik.2017.009 2023-05-15T17:58:21+02:00 LPJmL4 model output for the publications in GMD: LPJmL4 - a dynamic global vegetation model with managed land: Part I – Model description and Part II – Model evaluation Schaphoff Ed., Sibyll von Bloh, Werner Rammig, Anja Thonicke, Kirsten Biemans, Hester Forkel, Matthias Gerten, Dieter Heinke, Jens Jägermeyr, Jonas Knauer, Jürgen Langerwisch, Fanny Lucht, Wolfgang Müller, Christoph Rolinski, Susanne Waha, Katharina 2018 application/pdf application/octet-stream https://dx.doi.org/10.5880/pik.2017.009 http://dataservices.gfz-potsdam.de/pik/showshort.php?id=escidoc:2762899 en eng GFZ Data Services https://dx.doi.org/10.5194/gmd-11-1343-2018 https://dx.doi.org/10.5194/gmd-11-1377-2018 https://dx.doi.org/10.5880/pik.2018.002 CC BY 4.0 http://creativecommons.org/licenses/by/4.0 CC-BY soil carbon vegetation carbon global carbon balance permafrost distribution discharge fractional burned area crop yields global dynamic vegetation model vegetation dynamics dataset Dataset 2018 ftdatacite https://doi.org/10.5880/pik.2017.009 https://doi.org/10.5194/gmd-11-1343-2018 https://doi.org/10.5194/gmd-11-1377-2018 https://doi.org/10.5880/pik.2018.002 2021-11-05T12:55:41Z 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). The data presented here represent some standard LPJmL4 model results for the land surface described in Schaphoff et al. (2017a,). Additionally, these results are evaluated in the companion paper of Schaphoff et al. (2017b, http://doi.org/10.5194/gmd-2017-146). The data collection includes some key output variables made with different model setups described by Schaphoff et al. (2017b). The data cover the entire globe with a spatial resolution of 0.5° and temporal coverage from 1901-2011 on an annual basis for soil, vegetation, aboveground and litter carbon as well as for vegetation distribution, crop yields, sowing dates, maximum thawing depth, and fire carbon emissions. Vegetation distribution is given for each plant functional type (PFT), crop yields, and sowing dates are given for each crop functional type (CFT), respectively. Monthly data are provided for the carbon fluxes (net primary production, gross primary production, soil respiration) and the water fluxes (transpiration, evaporation, interception, runoff, and discharge) and for absorbed photosynthetically active radiation (FAPAR) and albedo. The data are provided in one netcdf file for each variable and experiment described by Schaphoff et al. (2017b). Crop yields and sowing dates are not provided for the LPJmL4-GSI-GlobFIRE-PNV experiment as this represents natural vegetation only. An overview of all variables and the number of bands are given in the file inventory. Dataset permafrost DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic soil carbon
vegetation carbon
global carbon balance
permafrost distribution
discharge
fractional burned area
crop yields
global dynamic vegetation model
vegetation dynamics
spellingShingle soil carbon
vegetation carbon
global carbon balance
permafrost distribution
discharge
fractional burned area
crop yields
global dynamic vegetation model
vegetation dynamics
Schaphoff Ed., Sibyll
von Bloh, Werner
Rammig, Anja
Thonicke, Kirsten
Biemans, Hester
Forkel, Matthias
Gerten, Dieter
Heinke, Jens
Jägermeyr, Jonas
Knauer, Jürgen
Langerwisch, Fanny
Lucht, Wolfgang
Müller, Christoph
Rolinski, Susanne
Waha, Katharina
LPJmL4 model output for the publications in GMD: LPJmL4 - a dynamic global vegetation model with managed land: Part I – Model description and Part II – Model evaluation
topic_facet soil carbon
vegetation carbon
global carbon balance
permafrost distribution
discharge
fractional burned area
crop yields
global dynamic vegetation model
vegetation dynamics
description 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). The data presented here represent some standard LPJmL4 model results for the land surface described in Schaphoff et al. (2017a,). Additionally, these results are evaluated in the companion paper of Schaphoff et al. (2017b, http://doi.org/10.5194/gmd-2017-146). The data collection includes some key output variables made with different model setups described by Schaphoff et al. (2017b). The data cover the entire globe with a spatial resolution of 0.5° and temporal coverage from 1901-2011 on an annual basis for soil, vegetation, aboveground and litter carbon as well as for vegetation distribution, crop yields, sowing dates, maximum thawing depth, and fire carbon emissions. Vegetation distribution is given for each plant functional type (PFT), crop yields, and sowing dates are given for each crop functional type (CFT), respectively. Monthly data are provided for the carbon fluxes (net primary production, gross primary production, soil respiration) and the water fluxes (transpiration, evaporation, interception, runoff, and discharge) and for absorbed photosynthetically active radiation (FAPAR) and albedo. The data are provided in one netcdf file for each variable and experiment described by Schaphoff et al. (2017b). Crop yields and sowing dates are not provided for the LPJmL4-GSI-GlobFIRE-PNV experiment as this represents natural vegetation only. An overview of all variables and the number of bands are given in the file inventory.
format Dataset
author Schaphoff Ed., Sibyll
von Bloh, Werner
Rammig, Anja
Thonicke, Kirsten
Biemans, Hester
Forkel, Matthias
Gerten, Dieter
Heinke, Jens
Jägermeyr, Jonas
Knauer, Jürgen
Langerwisch, Fanny
Lucht, Wolfgang
Müller, Christoph
Rolinski, Susanne
Waha, Katharina
author_facet Schaphoff Ed., Sibyll
von Bloh, Werner
Rammig, Anja
Thonicke, Kirsten
Biemans, Hester
Forkel, Matthias
Gerten, Dieter
Heinke, Jens
Jägermeyr, Jonas
Knauer, Jürgen
Langerwisch, Fanny
Lucht, Wolfgang
Müller, Christoph
Rolinski, Susanne
Waha, Katharina
author_sort Schaphoff Ed., Sibyll
title LPJmL4 model output for the publications in GMD: LPJmL4 - a dynamic global vegetation model with managed land: Part I – Model description and Part II – Model evaluation
title_short LPJmL4 model output for the publications in GMD: LPJmL4 - a dynamic global vegetation model with managed land: Part I – Model description and Part II – Model evaluation
title_full LPJmL4 model output for the publications in GMD: LPJmL4 - a dynamic global vegetation model with managed land: Part I – Model description and Part II – Model evaluation
title_fullStr LPJmL4 model output for the publications in GMD: LPJmL4 - a dynamic global vegetation model with managed land: Part I – Model description and Part II – Model evaluation
title_full_unstemmed LPJmL4 model output for the publications in GMD: LPJmL4 - a dynamic global vegetation model with managed land: Part I – Model description and Part II – Model evaluation
title_sort lpjml4 model output for the publications in gmd: lpjml4 - a dynamic global vegetation model with managed land: part i – model description and part ii – model evaluation
publisher GFZ Data Services
publishDate 2018
url https://dx.doi.org/10.5880/pik.2017.009
http://dataservices.gfz-potsdam.de/pik/showshort.php?id=escidoc:2762899
genre permafrost
genre_facet permafrost
op_relation https://dx.doi.org/10.5194/gmd-11-1343-2018
https://dx.doi.org/10.5194/gmd-11-1377-2018
https://dx.doi.org/10.5880/pik.2018.002
op_rights CC BY 4.0
http://creativecommons.org/licenses/by/4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.5880/pik.2017.009
https://doi.org/10.5194/gmd-11-1343-2018
https://doi.org/10.5194/gmd-11-1377-2018
https://doi.org/10.5880/pik.2018.002
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