2026-04-11T21:31:08Zhttp://doidb.wdc-terra.org/oaip/oai

oai:doidb.wdc-terra.org:63592020-01-14T08:42:58ZDOIDBDOIDB.PIK

false4DOIDB.PIK 10.5880/pik.2018.002 Schaphoff (Ed.), Sibyll Sibyll Schaphoff (Ed.) 0000-0003-1677-8282 Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany von Bloh, Werner Werner von Bloh 0000-0002-7399-2704 Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany Thonicke, Kirsten Kirsten Thonicke Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany Biemans, Hester Hester Biemans Alterra, Wageningen University and Research, Wageningen, Netherlands Forkel, Matthias Matthias Forkel 0000-0003-0363-9697 Max Planck Institute for Biogeochemistry, Hans-Knöll-Str. 10, 07745 Jena, Germany Gerten, Dieter Dieter Gerten 0000-0002-6214-6991 Potsdam Institute for Climate Impact Research, Potsdam, Germany Humboldt Universität zu Berlin, Department of Geography, Berlin, Germany Heinke, Jens Jens Heinke Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany Jägermeyr, Jonas Jonas Jägermeyr Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany Müller, Christoph Christoph Müller 0000-0002-9491-3550 Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany Rolinski, Susanne Susanne Rolinski Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany Waha, Katharina Katharina Waha 0000-0002-8631-8639 Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany CSIRO Agriculture & Food, St. Lucia, Australia Stehfest, Elke Elke Stehfest PBL Netherlands Environmental Assessment Agency, the Netherlands de Waal, Liesbeth Liesbeth de Waal PBL Netherlands Environmental Assessment Agency, the Netherlands Heyder, Ursula Ursula Heyder Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany Gumpenberger, Marlies Marlies Gumpenberger Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany Beringer, Tim Tim Beringer Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany LPJmL4 Model Code GFZ Data Services 2018 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 1901-01-15/2011-12-15 en 10.5194/gmd-11-1343-2018 10.5194/gmd-11-1377-2018 10.5880/pik.2017.009 10.5880/PIK.2018.011 1446610 Bytes 4 Files application/x-gzip application/octet-stream application/octet-stream text/plain 4.0 GNU Affero General Public License, Version 3, 19 November 2007, Copyright Potsdam Institute for Climate Impact Research 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. -180 180 -90 90 global data in annual and monthly resolution and 0.5° spatial resolution