Archiving environmental numeric data model products has become recognized as a vital research practice because it improves our ability to reproduce results, to perform additional analyses, and to synthesize results while investigating new hypotheses (Thornton et al 2005).

The ORNL DAAC compiles, archives, and distributes numerical models including the source code, input data, and output results in two tiers. The first tier supports the storage and retrieval of benchmark model versions, and the second tier supports the association of published research results with specific model implementations. Model products include:

• Biogeochemical process models
• Biosphere simulation models
• Ecosystem process and response models
• Land surface models
• Scalable vegetation models

Biogeochemical Process Models are ecosystem process models that estimate fluxes and storage of energy, water, carbon, and nitrogen for the vegetation and soil components of terrestrial ecosystems (Biome-BGC); and include:

• BIOME-BGC: Modeling Carbon Storage and Flux of Ponderosa Pine (Law et al. 2003)
• BIOME-BGC: Modeling Effects of Disturbance and Climate (Thornton et al. 2002)
• BIOME-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1
• PNET-BGC: Modeling Biogeochemical Processes (Gbondo-Tugbawa et al. 2001)

Biosphere simulation models provide a comprehensive model of the terrestrial biosphere, and include:

• Integrated Biosphere Simulator Model (IBIS), Version 2.5

Ecosystem process and response models model carbon, water, and nutrient dynamics for ecosystems; and include:

• CENTURY: Modeling Ecosystem Responses to Climate Change, Version 4 (VEMAP 1995)
• PNET Models: Carbon, Nitrogen, Water Dynamics in Forest Ecosystem (Vers. 4 and 5)

Land surface models examine biogeophysical and biogeochemical land-atmosphere interactions and include:

• Land Surface Model (LSM 1.0) for Ecological, Hydrological, Atmospheric Studies

Scalable vegetation models model landscapes at both regional and global scales, and include:

• Land Surface Model (LSM 1.0) for Ecological, Hydrological, Atmospheric Studies