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Taverna_logo Biome-BGC CARBON 1.2
Ecosystem Modelling

BioVeL avatar

Biome-BGC is a process-based biogeochemical model that can be used to simulate carbon, nitrogen and water fluxes of different terrestrial ecosystems. A new version of the model, called Biome-BGC MuSo was developed to perform more realistic simulations in terms of soil hydrology, and improved ecosystem
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Uploaded 12 Feb 2014 03:17:05 UTC

Taverna_logo Biome-BGC ESI version 1.4.1
Ecosystem Modelling

BioVeL avatar

Biome-BGC is a process-based biogeochemical model that can be used to simulate carbon, nitrogen and water fluxes of different terrestrial ecosystems. The model can help us to quantify a broad range of ecosystem service indicators. These newly developed measures include: annual wood increment, yearly
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Uploaded 23 Feb 2014 07:49:59 UTC

Taverna_logo Biome-BGC GLUE 1.3
Ecosystem Modelling

BioVeL avatar

Biome-BGC is working with a lots of ‘a priori’ unknown and hard to obtain model parameters. Therefore the parameterization is a critical step of using the model. Parameteres can be estimated using inverse calibration techniques based on measurement data, which means that the model is being calibrated.
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Uploaded 26 May 2014 09:48:21 UTC

Taverna_logo Biome-BGC MCE 1.4.1
Ecosystem Modelling

BioVeL avatar

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
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Uploaded 3 Feb 2014 09:23:58 UTC

Taverna_logo Biome-BGC SA 1.3
Ecosystem Modelling

BioVeL avatar

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 have been implemented: the Biome-BGC v4.1.1 Max Planck Institute model, and the newly developed Biome-BGC MuSo 3.0 model. Performance, success
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Uploaded 24 Feb 2014 09:38:17 UTC
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BioVeL has received funding from the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 283359.

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