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  • Authors: orcid bw Lasch-Born, Petra;
    Lasch-Born, Petra
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Lasch-Born, Petra in OpenAIRE
    orcid bw Suckow, Felicitas;
    Suckow, Felicitas
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Suckow, Felicitas in OpenAIRE
    orcid bw Gutsch, Martin;
    Gutsch, Martin
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Gutsch, Martin in OpenAIRE
    orcid bw Kollas, Chris;
    Kollas, Chris
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Kollas, Chris in OpenAIRE
    +7 Authors

    The model 4C (‘FORESEE’ - Forest Ecosystems in a Changing Environment) has been developed to describe long-term forest behaviour under changing environmental conditions. It describes processes on tree and stand level basing on findings from eco-physiological experiments, long term observations and physiological modelling. The model includes descriptions of tree species composition, forest structure, total ecosystem carbon content as well as leaf area index. The model shares a number of features with gap models, which have often been used for the simulation of long-term forest development. Establishment, growth and mortality of tree cohorts are explicitly modelled on a patch on which horizontal homogeneity is assumed.

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  • Authors: orcid bw Lasch-Born, Petra;
    Lasch-Born, Petra
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Lasch-Born, Petra in OpenAIRE
    orcid bw Suckow, Felicitas;
    Suckow, Felicitas
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Suckow, Felicitas in OpenAIRE
    orcid bw Gutsch, Martin;
    Gutsch, Martin
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Gutsch, Martin in OpenAIRE
    orcid bw Kollas, Chris;
    Kollas, Chris
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Kollas, Chris in OpenAIRE
    +7 Authors

    The model 4C (‘FORESEE’ - Forest Ecosystems in a Changing Environment) has been developed to describe long-term forest behaviour under changing environmental conditions. It describes processes on tree and stand level basing on findings from eco-physiological experiments, long term observations and physiological modelling. The model includes descriptions of tree species composition, forest structure, total ecosystem carbon content as well as leaf area index. The model shares a number of features with gap models, which have often been used for the simulation of long-term forest development. Establishment, growth and mortality of tree cohorts are explicitly modelled on a patch on which horizontal homogeneity is assumed.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: orcid bw Roca-Puigros, Marta;
    Roca-Puigros, Marta
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Roca-Puigros, Marta in OpenAIRE
    orcid bw Billy, Romain G.;
    Billy, Romain G.
    ORCID
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    Billy, Romain G. in OpenAIRE
    orcid bw Gerber, Andreas;
    Gerber, Andreas
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Gerber, Andreas in OpenAIRE
    orcid bw Wäger, Patrick;
    Wäger, Patrick
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Wäger, Patrick in OpenAIRE
    +1 Authors

    Python code and data for the Residential Building Stock Model (RBSM) described in the paper "Pathways toward a carbon-neutral Swiss residential building stock", authored by Marta Roca-Puigròs, Romain Guillaume Billy, Andreas Gerber, Patrick Wäger and Daniel Beat Müller and published in the journal "Buildings and Cities" (https://www.buildingsandcities.org/). Model based on ODYM (https://github.com/IndEcol/ODYM). Code and data also available on https://gitlab.com/mfa_indecol/residential-building-stock-model This work was supported by the Swiss National Science Foundation (SNSF) within the framework of the National Research Programme "Sustainable Economy: resource-friendly, future-oriented, innovative" (NRP 73) Grant-N° 407340_172402/1.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    Software . 2020
    Data sources: Datacite
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    Software . 2020
    Data sources: Datacite
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    Software . 2020
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      Software . 2020
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: orcid bw Roca-Puigros, Marta;
    Roca-Puigros, Marta
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Roca-Puigros, Marta in OpenAIRE
    orcid bw Billy, Romain G.;
    Billy, Romain G.
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Billy, Romain G. in OpenAIRE
    orcid bw Gerber, Andreas;
    Gerber, Andreas
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Gerber, Andreas in OpenAIRE
    orcid bw Wäger, Patrick;
    Wäger, Patrick
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Wäger, Patrick in OpenAIRE
    +1 Authors

    Python code and data for the Residential Building Stock Model (RBSM) described in the paper "Pathways toward a carbon-neutral Swiss residential building stock", authored by Marta Roca-Puigròs, Romain Guillaume Billy, Andreas Gerber, Patrick Wäger and Daniel Beat Müller and published in the journal "Buildings and Cities" (https://www.buildingsandcities.org/). Model based on ODYM (https://github.com/IndEcol/ODYM). Code and data also available on https://gitlab.com/mfa_indecol/residential-building-stock-model This work was supported by the Swiss National Science Foundation (SNSF) within the framework of the National Research Programme "Sustainable Economy: resource-friendly, future-oriented, innovative" (NRP 73) Grant-N° 407340_172402/1.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    Software . 2020
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Software . 2020
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    ZENODO
    Software . 2020
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      Software . 2020
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      Software . 2020
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  • Authors: Merkli, Sandro;
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  • Authors: Merkli, Sandro;
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: orcid bw Gomarasca, Ulisse;
    Gomarasca, Ulisse
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Gomarasca, Ulisse in OpenAIRE

    Code to reproduce the analysis described in: Gomarasca, U., Migliavacca, M., Kattge, J., Nelson, J. A., Niinemets, Ü., Wirth, C., Cescatti, A., Bahn, M., Nair, R., Acosta, A. T. R., Arain, M. A., Beloiu, M., Black, T. A., Bruun, H. H., Bucher, S. F., Buchmann, N., Byun, C., Carrara, A., Conte, A., … Reichstein, M. (2023). Leaf-level coordination principles propagate to the ecosystem scale. Nature Communications, 14(1), Article 1. https://doi.org/10.1038/s41467-023-39572-5

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    Software . 2023
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    Data sources: Datacite
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    ZENODO
    Software . 2023
    License: CC BY
    Data sources: Datacite
    ZENODO
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      ZENODO
      Software . 2023
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: orcid bw Gomarasca, Ulisse;
    Gomarasca, Ulisse
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Gomarasca, Ulisse in OpenAIRE

    Code to reproduce the analysis described in: Gomarasca, U., Migliavacca, M., Kattge, J., Nelson, J. A., Niinemets, Ü., Wirth, C., Cescatti, A., Bahn, M., Nair, R., Acosta, A. T. R., Arain, M. A., Beloiu, M., Black, T. A., Bruun, H. H., Bucher, S. F., Buchmann, N., Byun, C., Carrara, A., Conte, A., … Reichstein, M. (2023). Leaf-level coordination principles propagate to the ecosystem scale. Nature Communications, 14(1), Article 1. https://doi.org/10.1038/s41467-023-39572-5

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    Software . 2023
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    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    CropSuite Model Version 1.3.4 CropSuite is an open-source crop suitability model developed to support sustainable agricultural planning under changing climate. It assesses the suitability of different crop by combining climate, soil and elevation data. CropSuite is able to consider interannual climate fluctuations, which makes it particularly robust for evaluations in regions with highly variable weather conditions. Using a fuzzy logic membership function approach, the model provides realistic and continuous suitability assessments that reflect the complex interactions between crops and environmental conditions. As an empirical and statistical model, CropSuite combines established crop-climate relationships with data-driven thresholds to provide transparent, interpretable results. The model provides full control via an intuitive graphical user interface (GUI) that allows users to configure settings, manage input data and run simulations without writing code. A built-in data viewer allows visualization and comparison of model results directly in the application. CropSuite supports flexible spatial input and output resolutions, enabling both comprehensive regional assessments and high-resolution local analysis. CropSuite is compatible with user-defined datasets and is highly customizable through easily editable .ini configuration files. In addition to assessing crop suitability, CropSuite computes the optimal sowing dates for each crop - and can even do this for multiple crop cycles within a year, including crop rotations. Version 1.3.4: Download includes setup scripts, source code, graphical user interface, user manual and files required for using CropSuite. Designed for researchers, policy makers, practitioners and educators, CropSuite provides a powerful toolkit for assessing agricultural potential, improving food security and guiding climate adaptation strategies around the world. Zabel, F., Knüttel, M., & Poschlod, B. (2025). CropSuite v1.0 – a comprehensive open-source crop suitability model considering climate variability for climate impact assessment. Geosci. Model Dev., 18(4), 1067-1087. 10.5194/gmd-18-1067-2025.

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    CropSuite Model Version 1.3.4 CropSuite is an open-source crop suitability model developed to support sustainable agricultural planning under changing climate. It assesses the suitability of different crop by combining climate, soil and elevation data. CropSuite is able to consider interannual climate fluctuations, which makes it particularly robust for evaluations in regions with highly variable weather conditions. Using a fuzzy logic membership function approach, the model provides realistic and continuous suitability assessments that reflect the complex interactions between crops and environmental conditions. As an empirical and statistical model, CropSuite combines established crop-climate relationships with data-driven thresholds to provide transparent, interpretable results. The model provides full control via an intuitive graphical user interface (GUI) that allows users to configure settings, manage input data and run simulations without writing code. A built-in data viewer allows visualization and comparison of model results directly in the application. CropSuite supports flexible spatial input and output resolutions, enabling both comprehensive regional assessments and high-resolution local analysis. CropSuite is compatible with user-defined datasets and is highly customizable through easily editable .ini configuration files. In addition to assessing crop suitability, CropSuite computes the optimal sowing dates for each crop - and can even do this for multiple crop cycles within a year, including crop rotations. Version 1.3.4: Download includes setup scripts, source code, graphical user interface, user manual and files required for using CropSuite. Designed for researchers, policy makers, practitioners and educators, CropSuite provides a powerful toolkit for assessing agricultural potential, improving food security and guiding climate adaptation strategies around the world. Zabel, F., Knüttel, M., & Poschlod, B. (2025). CropSuite v1.0 – a comprehensive open-source crop suitability model considering climate variability for climate impact assessment. Geosci. Model Dev., 18(4), 1067-1087. 10.5194/gmd-18-1067-2025.

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    Authors: Simone Perazzoli; Aastha Joshi; Sayana Ajayan; José Pedro de Santana Neto;

    This dataset refers to the bibliometric analysis of ESG-related publications. Here you can find the discussions related to the dataset analysis: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4244534

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    Authors: Simone Perazzoli; Aastha Joshi; Sayana Ajayan; José Pedro de Santana Neto;

    This dataset refers to the bibliometric analysis of ESG-related publications. Here you can find the discussions related to the dataset analysis: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4244534

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    Authors: Schubiger, Alain; Hammer, Florian; orcid bw Barber, Sarah;
    Barber, Sarah
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Barber, Sarah in OpenAIRE

    This tool contains the script for carrying out Wind Resource Assessment using ANSYS Fluent based on the Wind Energy Science paper "The wide range of factors contributing to Wind Resource Assessment accuracy in complex terrain" (https://doi.org/10.5194/wes-2021-158)

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    Authors: Schubiger, Alain; Hammer, Florian; orcid bw Barber, Sarah;
    Barber, Sarah
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Barber, Sarah in OpenAIRE

    This tool contains the script for carrying out Wind Resource Assessment using ANSYS Fluent based on the Wind Energy Science paper "The wide range of factors contributing to Wind Resource Assessment accuracy in complex terrain" (https://doi.org/10.5194/wes-2021-158)

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    Authors: orcid Tröndle, Tim;
    Tröndle, Tim
    ORCID
    Harvested from ORCID Public Data File

    Tröndle, Tim in OpenAIRE

    Code to reproduce results of Tröndle et al (2019) --- "Home-made or imported: on the possibility for renewable electricity autarky on all scales in Europe". This repository contains the entire research project, including code and report. The philosophy behind this repository is that no intermediary results are included, but all results are computed from raw data and code. To learn how results can be replicated see ./README.md. This repository is released under the MIT license, see ./LICENSE.

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    ZENODO
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    Authors: orcid Tröndle, Tim;
    Tröndle, Tim
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    Code to reproduce results of Tröndle et al (2019) --- "Home-made or imported: on the possibility for renewable electricity autarky on all scales in Europe". This repository contains the entire research project, including code and report. The philosophy behind this repository is that no intermediary results are included, but all results are computed from raw data and code. To learn how results can be replicated see ./README.md. This repository is released under the MIT license, see ./LICENSE.

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    Authors: orcid bw Bauer, Victoria M.;
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    orcid bw Zibell, Jan;
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    orcid bw Zhang, Jingzhi;
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    orcid Portmann, Raphael;
    Portmann, Raphael
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    Portmann, Raphael in OpenAIRE
    +3 Authors

    These are the scripts used for the analyses performed in Bauer, V., Schemm, S., Portmann, R., Zhang, J., Eirund, G. K., de Hertog, S. J., & Zibell, J. (2025). Impacts of North American forest cover changes on the North Atlantic ocean circulation.

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    Bauer, Victoria M. in OpenAIRE
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    Zhang, Jingzhi
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    orcid Portmann, Raphael;
    Portmann, Raphael
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    These are the scripts used for the analyses performed in Bauer, V., Schemm, S., Portmann, R., Zhang, J., Eirund, G. K., de Hertog, S. J., & Zibell, J. (2025). Impacts of North American forest cover changes on the North Atlantic ocean circulation.

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  • Authors: Shu, David Yang; Reinert, Christiane; Mannhardt, Jacob; Leenders, Ludger; +3 Authors

    Referencing If you use our software or any part of it, please cite Shu et al. (2023). The full information on the publication is also shown below: Shu, D.Y. *; Reinert, C. *; Mannhardt, J.*; Leenders, L.; Lüthje, J.; Mitsos, A.; and Bardow, A. (2023): "Overcoming the Central Planner Approach – Bilevel Optimization of the European Energy Transition". Accepted in iScience. *Equal contribution. Since the publication above and this repository mainly describe the extensions compared to the linear SecMOD, please also refer to Reinert et al. (2022) for further information. The full information on the SecMOD publication is also shown below: Reinert, C.; Schellhas, L.; Mannhardt, J.; Shu, D.; Kämper, A.; Baumgärtner, N.; Deutz, S., and Bardow, A. (2022): "SecMOD: An open-source modular framework combining multi-sector system optimization and life-cycle assessment". Frontiers in Energy Research. DOI: https://doi.org/10.3389/fenrg.2022.884525. Documentation and Support Please find the full documentation of the SecMOD LP framework here. You can further find a video about SecMOD and some example applications here. In case you need help using Git, please refer to the git documentation here. Installation A brief instruction to install SecMOD can also be found below: Clone a copy of the whole repository to your computer: git clone git@git-ce.rwth-aachen.de:ltt/secmod-bilevel.git Open a terminal with a python enviroment (e.g. Anaconda promt) and install the secmod package with: pip install --user -e '' The path should point to the directory where secmod is saved (repository folder). Make sure that the setup.py file is located in your repository folder. You can use this installation for several projects in multiple working directories. For further installation instruction please go here. The code was tested with Python 3.7.5.

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  • Authors: Shu, David Yang; Reinert, Christiane; Mannhardt, Jacob; Leenders, Ludger; +3 Authors

    Referencing If you use our software or any part of it, please cite Shu et al. (2023). The full information on the publication is also shown below: Shu, D.Y. *; Reinert, C. *; Mannhardt, J.*; Leenders, L.; Lüthje, J.; Mitsos, A.; and Bardow, A. (2023): "Overcoming the Central Planner Approach – Bilevel Optimization of the European Energy Transition". Accepted in iScience. *Equal contribution. Since the publication above and this repository mainly describe the extensions compared to the linear SecMOD, please also refer to Reinert et al. (2022) for further information. The full information on the SecMOD publication is also shown below: Reinert, C.; Schellhas, L.; Mannhardt, J.; Shu, D.; Kämper, A.; Baumgärtner, N.; Deutz, S., and Bardow, A. (2022): "SecMOD: An open-source modular framework combining multi-sector system optimization and life-cycle assessment". Frontiers in Energy Research. DOI: https://doi.org/10.3389/fenrg.2022.884525. Documentation and Support Please find the full documentation of the SecMOD LP framework here. You can further find a video about SecMOD and some example applications here. In case you need help using Git, please refer to the git documentation here. Installation A brief instruction to install SecMOD can also be found below: Clone a copy of the whole repository to your computer: git clone git@git-ce.rwth-aachen.de:ltt/secmod-bilevel.git Open a terminal with a python enviroment (e.g. Anaconda promt) and install the secmod package with: pip install --user -e '' The path should point to the directory where secmod is saved (repository folder). Make sure that the setup.py file is located in your repository folder. You can use this installation for several projects in multiple working directories. For further installation instruction please go here. The code was tested with Python 3.7.5.

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