Biome-BGC MCE 1.4.1

Biome-BGC is a process-based biogeochemical model that can be used to simulate carbon, nitrogen and water fluxes of different terrestrial ecosystems. Two models were implemented: Biome-BGC 4.1.1 MPI (Trusilova et al. 2009) and Biome-BGC MuSo 3.0 (Hidy & Barcza 2014). Its has about 40 and 60 various parameters. The only way to estimate or set these parameters is "calibration" (data-model-harmonization or model-data-fusion), which demands a hugh amount of computational capacity. Monte Carlo Experiment (MCE) randomizes selected parameters of the model in a high number of replication, which provides pre-process results for further analysis, for example Sensitivity Analysis (SA), Generalized Likelihood Uncertainty Estimation (GLUE), etc.

The Biome-BGC MCE workflow starts a job on the ECOS server of MTA OK, which interacts with the EDGeS@Home Desktop Grid to distribute and execute the simulation task packages in many parallel instances.

Biome-BGC model simulations require several specific „parameter” datasets: spinup and normal initialization files (INI); daily meteorology dataset (METDATA); ecophysiological constants file (EPC); annual atmospheric CO2 concentration file (CO2 - optional); annual nitrogen deposition file (NDEP - optional); site parameters; output control of Biome-BGC variables; and Monte Carlo Experiment initialization file.

The Biome-BGC Projects Database & Management System was developed to easy prepare, manage and share all of the above mentioned datasets (files), investigations and provide interaction with Taverna workflows. Learn more about BBGCDB at http://ecos.okologia.mta.hu/bbgcdb/.