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Climate–ecosystem modelling made easy : The Land Sites Platform
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- Keetz, Lasse T. (författare)
- University of Oslo
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- Lieungh, Eva (författare)
- University of Oslo
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- Karimi-Asli, Kaveh (författare)
- University of Oslo
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- Geange, Sonya R. (författare)
- University of Bergen
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- Gelati, Emiliano (författare)
- University of Oslo
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- Tang, Hui (författare)
- Finnish Meteorological Institute,University of Oslo
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- Yilmaz, Yeliz A. (författare)
- University of Oslo
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- Aas, Kjetil S. (författare)
- CICERO Center for International Climate Research,University of Oslo
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- Althuizen, Inge H.J. (författare)
- NORCE Norwegian Research Centre
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- Bryn, Anders (författare)
- University of Oslo
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- Falk, Stefanie (författare)
- Ludwig-Maximilian University of Munich
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- Fisher, Rosie (författare)
- CICERO Center for International Climate Research,National Center for Atmospheric Research
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- Fouilloux, Anne (författare)
- Simula Research Laboratory
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- Horvath, Peter (författare)
- University of Oslo
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- Indrehus, Sunniva (författare)
- Norwegian Geotechnical Institute
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- Lee, Hanna (författare)
- Norwegian University of Science and Technology,NORCE Norwegian Research Centre
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- Lombardozzi, Danica (författare)
- National Center for Atmospheric Research
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- Parmentier, Frans Jan W. (författare)
- Lund University,Lunds universitet,MERGE: ModElling the Regional and Global Earth system,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,Institutionen för naturgeografi och ekosystemvetenskap,Centre for Environmental and Climate Science (CEC),Faculty of Science,Dept of Physical Geography and Ecosystem Science,University of Oslo
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- Pirk, Norbert (författare)
- University of Oslo
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- Vandvik, Vigdis (författare)
- University of Bergen
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- Vollsnes, Ane V. (författare)
- University of Oslo
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- Skarpaas, Olav (författare)
- University of Oslo
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- Stordal, Frode (författare)
- University of Oslo
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- Tallaksen, Lena M. (författare)
- University of Oslo
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(creator_code:org_t)
- 2023
- 2023
- Engelska 13 s.
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Ingår i: Global Change Biology. - 1354-1013. ; 29:15, s. 4440-4452
- Relaterad länk:
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http://dx.doi.org/10... (free)
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visa fler...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Dynamic Global Vegetation Models (DGVMs) provide a state-of-the-art process-based approach to study the complex interplay between vegetation and its physical environment. For example, they help to predict how terrestrial plants interact with climate, soils, disturbance and competition for resources. We argue that there is untapped potential for the use of DGVMs in ecological and ecophysiological research. One fundamental barrier to realize this potential is that many researchers with relevant expertize (ecology, plant physiology, soil science, etc.) lack access to the technical resources or awareness of the research potential of DGVMs. Here we present the Land Sites Platform (LSP): new software that facilitates single-site simulations with the Functionally Assembled Terrestrial Ecosystem Simulator, an advanced DGVM coupled with the Community Land Model. The LSP includes a Graphical User Interface and an Application Programming Interface, which improve the user experience and lower the technical thresholds for installing these model architectures and setting up model experiments. The software is distributed via version-controlled containers; researchers and students can run simulations directly on their personal computers or servers, with relatively low hardware requirements, and on different operating systems. Version 1.0 of the LSP supports site-level simulations. We provide input data for 20 established geo-ecological observation sites in Norway and workflows to add generic sites from public global datasets. The LSP makes standard model experiments with default data easily achievable (e.g., for educational or introductory purposes) while retaining flexibility for more advanced scientific uses. We further provide tools to visualize the model input and output, including simple examples to relate predictions to local observations. The LSP improves access to land surface and DGVM modelling as a building block of community cyberinfrastructure that may inspire new avenues for mechanistic ecosystem research across disciplines.
Ämnesord
- NATURVETENSKAP -- Geovetenskap och miljövetenskap -- Naturgeografi (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences -- Physical Geography (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Annan data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Other Computer and Information Science (hsv//eng)
Nyckelord
- Application Programming Interface (API)
- Community Land Model (CLM)
- Docker container
- Dynamic Global Vegetation Model (DGVM)
- ecological modelling
- Functionally Assembled Terrestrial Ecosystem Simulator (FATES)
- Graphical User Interface (GUI)
- Land Surface Model (LSM)
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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Till lärosätets databas
- Av författaren/redakt...
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Keetz, Lasse T.
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Lieungh, Eva
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Karimi-Asli, Kav ...
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Geange, Sonya R.
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Gelati, Emiliano
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Tang, Hui
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visa fler...
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Yilmaz, Yeliz A.
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Aas, Kjetil S.
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Althuizen, Inge ...
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Bryn, Anders
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Falk, Stefanie
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Fisher, Rosie
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Fouilloux, Anne
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Horvath, Peter
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Indrehus, Sunniv ...
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Lee, Hanna
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Lombardozzi, Dan ...
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Parmentier, Fran ...
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Pirk, Norbert
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Vandvik, Vigdis
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Vollsnes, Ane V.
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Skarpaas, Olav
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Stordal, Frode
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Tallaksen, Lena ...
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visa färre...
- Om ämnet
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- NATURVETENSKAP
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NATURVETENSKAP
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och Geovetenskap och ...
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och Naturgeografi
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- NATURVETENSKAP
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NATURVETENSKAP
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och Data och informa ...
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och Annan data och i ...
- Artiklar i publikationen
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Global Change Bi ...
- Av lärosätet
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Lunds universitet