The TMS process requires use of data-assimilation techniques to combine (1) varied types and levels of information on natural and model systems, (2) response functions from climate change experiments, and (3) measurements from observatory sites. As descriptive, predictive, and heuristic tools, TMS techniques can explore critical scenarios and variables to provide insight for research strategies, test the adequacy of scientific understanding and models, and develop hypotheses. Theory, Modeling, and Simulation also can create a virtual accelerator of global change to support modeled simulations exploring possible implications of altered carbon management or biosequestration strategies under future climate change. To reflect potential impacts accurately, climate modeling requires that coupled component models be transparently integrated across scales and processes.
Credit or Source: Office of Biological and Environmental Research of the U.S. Department of Energy Office of Science. science.energy.gov/ber/
U.S. DOE. 2008. Carbon Cycling and Biosequestration: Report from the March 2008 Workshop, DOE/SC-108, U.S. Department of Energy Office of Science. (p. 15) (website)