Get the latest code from GitHub
Or Download Biome-BGC 4.2 from the NTSG FTP
This project page serves as a central place for model information and source code. Biome-BGC is an ecosystem process model that estimates storage and flux of carbon, nitrogen and water. Biome-BGC is a computer program that estimates fluxes and storage of energy, water, carbon, and nitrogen for the vegetation and soil components of terrestrial ecosystems.
We have been hard at work compiling a list of bug fixes and model enhancments into a new version of Biome-BGC. We are offereing this new beta model version under the downloads section of this site. We have been hard at working compiling a list of bug fixes and model enhancments into a new version of Biome-BGC. We are offereing this new beta model version under the downloads section of this site. This new version has a number of minor bug fixes and some increased functionality. The following is a list of relavant changes to this version.
Development Notes for Biome BGC. This file is a list of code/internal changes. ====== 4.2rc2 ======
====== 4.2rc1 ======
RHESSys = Regional Hydrological and Ecological Simulation System
RHESSys combines the terrestrial ecosystem process model Biome-BGC with spatially explicit meteorological information from MTCLIM or Daymet and the TOPMODEL hydrologic routing model to let us to make spatial and temporal predictions of carbon, water, and nitrogen dynamics over landscapes.
Input information derived from weather records, satellite imagery, digital terrain models, and soils maps are supplied to RHESSys via a geographic database. The computer models construct a climatic surface, and based on this and other input surfaces, simulate maps of various ecosystem properties including snowpack, soil moisture, streamflow, evaporation, and photosynthesis.
RHESSys is an important tool in understanding the effects of anthropogenic impacts on landscape-level processes. RHESSys is being implemented in a number of other lab projects to assess the impacts of land use and disturbances on stream hydrology and forest productivity.
Funding: National Aeronautics and Space Administration, National Biological Service
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