GRASSMIND3.0 is an individual-based mechanistic grassland model to simulate European species-rich grasslands under farmer management and location-specific site conditions.
Copyright (C) 2025 Helmholtz Centre for Environmental Research GmbH - UFZ, Germany
Licensed under the EUPL, Version 1.2 or - as soon they will be approved by the European Commission - subsequent versions of the EUPL (the "Licence"). You may not use this work except in compliance with the Licence.
You may obtain a copy of the Licence at: https://joinup.ec.europa.eu/software/page/eupl
Note that the GRASSMIND3.0 model is a recoded and restructured model version of the GRASSMIND2.0 model which has originally been derived and developed from the forest model FORMIND (https://formind.org/). GRASSMIND3.0 thus partly contains functions of the FORMIND model which fall under the respective copyright and license. We provide reference for the reused functions directly in the source code and in the model description of GRASSMIND3.0. For copyright and license of FORMIND, we refer to: https://formind.org/downloads/downloads-terms-and-conditions/
Note that the GRASSMIND3.0 model also partly contains recoded functions and modelling approaches of the CENTURY4.0 soil model which fall under the respective copyright and license. We provide reference for the reused functions directly in the source code and in the model description of GRASSMIND3.0. For copyright and license of the CENTURY soil model, we refer to: https://www.soilcarbonsolutionscenter.com/century-agreement and https://www2.nrel.colostate.edu/projects/irc/#.
To run model simulations, we refer to an exemplary batch script (https://github.com/BioDT/uc-grassland/blob/main/run_pipeline_uc_grassland.cmd) that uses input data generated by https://github.com/BioDT/uc-grassland, https://github.com/BioDT/general-soilgrids-soil-data and https://github.com/BioDT/general-copernicus-weather-data.
For updates on new model developments and the model description, please visit: https://www.ufz.de/index.php?en=48444
Developed within the BioDT project by Franziska Taubert (UFZ) with contributions by Thomas Banitz (UFZ) and Matthes Kantzenbach (UFZ).
This project has received funding from the European Union's Horizon Europe Research and Innovation Programme under grant agreement No 101057437 (BioDT project, https://doi.org/10.3030/101057437). The authors acknowledge the EuroHPC Joint Undertaking and CSC - IT Center for Science Ltd., Finland for awarding this project access to the EuroHPC supercomputer LUMI, hosted by CSC - IT Center for Science Ltd., Finland and the LUMI consortium through a EuroHPC Development Access call.