2024-03-29T09:48:19Zhttp://doidb.wdc-terra.org/oaip/oaioai:doidb.wdc-terra.org:63602023-10-27T13:53:16ZDOIDBDOIDB.PIK
doi:10.5880/pik.2017.009
eng
GFZ German Research Centre for Geosciences
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2018-11-27
urn:ogc:def:crs:EPSG:4326
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
2018-11-27
revision
doi:10.5880/pik.2017.009
Schaphoff (Ed.), Sibyll
Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany
author
von Bloh, Werner
Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany
author
Rammig, Anja
Technical University of Munich, School of Life Sciences, Munich, Germany
author
Thonicke, Kirsten
Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany
author
Biemans, Hester
Alterra, Wageningen University and Research, Wageningen, Netherlands
author
Forkel, Matthias
TU Wien, Climate and Environmental Remote Sensing Group, Department of Geodesy and Geoinformation, Vienna, Austria
author
Gerten, Dieter
Potsdam Institute for Climate Impact Research, Potsdam, Germany / Humboldt Universität zu Berlin, Department of Geography, Berlin, Germany
author
Heinke, Jens
Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany
author
Jägermeyr, Jonas
Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany
author
Knauer, Jürgen
Max Planck Institute for Biogeochemistry, Jena, Germany
author
Langerwisch, Fanny
Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany
author
Lucht, Wolfgang
Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany / Humboldt Universität zu Berlin, Department of Geography, Berlin, Germany
author
Müller, Christoph
Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany
author
Rolinski, Susanne
Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany
author
Waha, Katharina
Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany / CSIRO Agriculture & Food, St. Lucia, Australia
author
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.
Complete
Schaphoff (Ed.), Sibyll
Potsdam Institute for Climate Impact Research, Telegraphenberg, PO Box 60 12 03, 14412 Potsdam, Germany
scientific researcher
sibylls@pik-potsdam.de
https://www.pik-potsdam.de/members/sibylls
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soil carbon
vegetation carbon
global carbon balance
permafrost distribution
discharge
fractional burned area
crop yields
global dynamic vegetation model
vegetation dynamics
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
NASA/GCMD Earth Science Keywords
publication
CC BY 4.0
CC BY 4.0
10.5194/gmd-11-1343-2018
DOI
IsSupplementTo
10.5194/gmd-11-1377-2018
DOI
IsSupplementTo
10.5880/pik.2018.002
DOI
References
eng
global data in annual and monthly resolution and 0.5° spatial resolution
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180
-90
90
1901-01-15
2011-12-15
http://dx.doi.org/doi:10.5880/pik.2017.009
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