Alternativer Identifier:
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Verwandter Identifier:
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Ersteller/in:
Butterbach-Bahl, Klaus https://orcid.org/0000-0001-9499-6598 [Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)]

Grote, Rüdiger [Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)]

Haas, Edwin https://orcid.org/0000-0003-0664-642X [Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)]

Kiese, Ralf https://orcid.org/0000-0002-2814-4888 [Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)]

Klatt, Steffen [Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)]

Kraus, David https://orcid.org/0000-0003-2485-8389 [Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)]
Beitragende:
(Researcher)
Boos, Carolin [Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)]

(Researcher)
Denk, Tobias [Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)]

(Researcher)
Fuchs, Kathrin https://orcid.org/0000-0003-1776-283X [Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)]

(Researcher)
Havermann, Felix https://orcid.org/0000-0001-8849-0195 [Ludwig Maximilians University Munich (LMU), Department of Geography]

(Researcher)
Petersen, Krischan [Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)]

(Researcher)
Rahimi, Jaber https://orcid.org/0000-0002-2754-2358 [Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)]

(Researcher)
Scheer, Clemens https://orcid.org/0000-0001-5396-2076 [Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)]

(Researcher)
Smerald, Andrew https://orcid.org/0000-0003-2026-273X [Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)]

(Researcher)
Werner, Christian https://orcid.org/0000-0001-7032-8683 [Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)]

(Researcher)
Wolf, Benjamin [Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)]
Titel:
LandscapeDNDC (v1.30.4)
Weitere Titel:
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Beschreibung:
(Abstract) LandscapeDNDC is a simulation framework for terrestrial ecosystem simulation on site, regional and global scale (Haas et al. 2013). LandscapeDNDC emerged from the MoBiLE framework (Grote et al. 2009b), which originated from the 1-D process-oriented Arable-DNDC and Forest-DNDC models (Li et al. 1992a, b, 1994, 2000; Stange et al. 2000). The modular design of LandscapeDNDC allows plugging in any process descriptions for simulating microclimate, water-, carbon- and nitrogen balances, as well as plant growth and yield of natural, semi-natural and agricultural ecosystems. Thus, also enabling consistent representation of land-use change by using different vegetation modules together with the same soil module. One important technical feature of LandscapeDNDC is its capability to run over many sites (i.e. simulating many grid cells) with a single program invocation. If running in such a mode, all cells are time-synchronized, which is highly significant for model coupling (Haas et al. 2013; Klatt et al. 2017). LandscapeDNDC is parallelized using MPI allowing the deployment on High Performance Computer (HPC) environments.
Schlagworte:
LandscapeDNDC, Biogeochemistry, Ecosystems, Modeling
Zugehörige Informationen:
-
Sprache:
Englisch
Herausgeber/in:
Karlsruhe Institute of Technology (KIT)
Erstellungsjahr:
Fachgebiet:
Geological Science
Environmental Science and Ecology
Objekttyp:
Software
Datenquelle:
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Verwendete Software:
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Datenverarbeitung:
-
Erscheinungsjahr:
Rechteinhaber/in:
Karlsruhe Institute of Technology (KIT)
Förderung:
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Status:
Publiziert
Eingestellt von:
871893860b7f52e7214215615a0c1fcf
Erstellt am:
Archivierungsdatum:
2021-05-25
Archivgröße:
24,3 MB
Archiversteller:
871893860b7f52e7214215615a0c1fcf
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