Dein Suchergebnis zum Thema: Model
Meintest du modell?
FireMIP | Senckenberg Gesellschaft für Naturforschung https://www.senckenberg.de/de/institute/sbik-f/ag-quantitative-biogeographie/projekte/firemip/
At the core of the project are standardized model simulations of modelling groups
FireMIP: Available simulation output | Senckenberg Gesellschaft für Naturforschung https://www.senckenberg.de/de/institute/sbik-f/ag-quantitative-biogeographie/projekte/firemip/firemip-available-simulation-output/
performed to determine the importance of fire disturbance within each vegetation model
FireMIP: Participating modelling groups | Senckenberg Gesellschaft für Naturforschung https://www.senckenberg.de/de/institute/sbik-f/ag-quantitative-biogeographie/projekte/firemip/firemip-participating-modelling-groups/
modelling groups © Freestock× FireMIP Participating modelling groups Model
Team: Quantitative Biogeographie | Senckenberg Gesellschaft für Naturforschung https://www.senckenberg.de/de/institute/sbik-f/ag-quantitative-biogeographie/team-quantitative-biogeographie/
Bayesian optimization of a light use efficiency model for the estimation of daily
FireMIP: Selected scientific project outcomes | Senckenberg Gesellschaft für Naturforschung https://www.senckenberg.de/de/institute/sbik-f/ag-quantitative-biogeographie/projekte/firemip/firemip-selected-scientific-project-outcomes/
FireMIP Selected scientific project outcomes The comparisons within the Fire Model
Edaphobase: Aufbauphase | Senckenberg Gesellschaft für Naturforschung https://www.senckenberg.de/de/edaphobase-aufbauphase/
A number of German partners were involved in developing the concepts, data model
GRADED: Project Team | Senckenberg Gesellschaft für Naturforschung https://www.senckenberg.de/de/graded-background-and-aims/graded-project-team/
risk, which includes the development of SEI’s hybrid multi-regional input output model
AG: Quantitative Biogeographie | Senckenberg Gesellschaft für Naturforschung https://www.senckenberg.de/de/institute/sbik-f/ag-quantitative-biogeographie/
Prof. Dr. Thomas Hickler, Dr. Mateus Dantas de Paula, Dr. Matthew Forrest, Dr. Hanno Seebens, Dr. Gitta Lasslop, Dr. Martin Thurner, Ricarda Prinz, Carola Martens, Wolfgang Pappa, Mouhammed Sohaib Younis
Global ecosystems and fire: Multi-model assessment of fire-induced tree-cover and
FURNACES | Senckenberg Gesellschaft für Naturforschung https://www.senckenberg.de/de/institute/sbik-f/ag-quantitative-biogeographie/projekte/furnaces/
The major uncertainty in the model projections is the representation of humans and