The Terrestrial Systems Modelling Platform (TSMP) is an open source framework implementing a scale-consistent, highly modular, massively parallel regional Earth system model. It represents transport and feedback processes of mass, energy and momentum across geo-ecosystem compartments and scales.
The Terrestrial System Modeling Platform (TSMP or TerrSysMP) is a scale-consistent, highly modular, massively parallel, fully integrated soil-vegetation-atmosphere modeling system.
TSMP implements a physically-based representation of transport processes of water, energy and momentum across scales down to sub-km resolution including explicit feedbacks between groundwater, the land surface and atmosphere with a focus on the terrestrial hydrological and energy cycles. TSMP currently comprises three component models: The Consortium for Small-scale Modeling (COSMO) atmospheric model, the Comunity Land Model (CLM), and the hydrologic model ParFlow. These components are coupled via the OASIS3-MCT coupler and data assimilation capabilities are implemented through the Parallel Data Assimilation Framework (PDAF).
TSMP is extensively used for idealized and real data process and sensitivity studies in water cycle research, for climate change simulations, data assimilation studies including reanalyses, as well as experimental real time forecasting and monitoring simulations, ranging from individual catchments to continental model domains.
TSMP is maintained by the HPSC TerrSys competence centre of Geoverbund ABC/J.
Dr. Daniel Caviedes-Voullième
Institute of Bio- and Geosciences: Agrosphere, Forschunszentrum Jülich
Simulation and Data Lab. Terrestrial Systems, Jülich Supercomputing Centre, Forschunszentrum Jülich
HPSC Terrestrial Systems Competence Centre, Geoverbund ABC/J
e-mail: d.caviedes.voullieme@fz-juelich.de
Prof. Dr. Harrie-Jan Hendricks-Franssen
Institute of Bio- and Geosciences: Agrosphere, Forschunszentrum Jülich
HPSC Terrestrial Systems Competence Centre, Geoverbund ABC/J
e-mail: h.hendricks-franssen@fz-juelich.de
Prof. Dr. Stefan Kollet
Institute of Bio- and Geosciences: Agrosphere, Forschunszentrum Jülich
HPSC Terrestrial Systems Competence Centre, Geoverbund ABC/J
e-mail: s.kollet@fz-juelich.de
PDAF - the Parallel Data Assimilation Framework is a software framework for interdisciplinary data assimilation. PDAF provides support for ensemble modeling and fully implemented data assimilation methods to merge models and observational data which let models learn from observations.