GLOBIOM_FABLE

This website provides FABLE consortium members using GLOBIOM for partial equilibrium modeling with documentation, links to code repositories, a graphical user interface, and training presentations.

About GLOBIOM

The Global Biosphere Management Model (GLOBIOM) has been developed and used by the International Institute for Applied Systems Analysis (IIASA) since the late 2000s. The partial-equilibrium model represents various land use-based activities, including agriculture, forestry and bioenergy sectors. The model is built following a bottom-up setting based on detailed grid-cell information, providing the biophysical and technical cost information. This detailed structure allows a rich set of environmental parameters to be taken into account. Its spatial equilibrium modeling approach represents bilateral trade based on cost competitiveness. The model was initially developed for impact assessment of climate change mitigation policies in land-based sectors, including biofuels, and nowadays is also increasingly being implemented for agricultural and timber markets foresight, and economic impact analysis of climate change and adaptation, and a wide range of sustainable development goals.

GLOBIOM Documentation

The model documentation provides a detailed description of the main features of the GLOBIOM model, as present in the standard global version.

GLOBIOM resources

Note: the below links to the repositories are accessible only after having signed-in to your GitHub account, and after having requested and received access to the repositories.

GLOBIOM for FABLE is provided via three GitHub repositories:

Note: for now the development branches of GLOBIOM_FABLE and GLOBIOM_FABLE_Data hold the under-development GUI-support in GLOBIOM. Use git checkout development in the directories where you cloned these repositories to switch them to the development branch.

GLOBIOM is implemented in GAMS. To run the model, a GAMS license and licenses for the CONOPT and CPLEX solvers are required.

In addition, some R scripts are included. To learn more see Using R with GLOBIOM.

Acknowledgement

This documentation was generated using the GAMS stub project on Github.