The ORNL DAAC is pleased to announce the release of the data set CMS: Forest Biomass and Productivity, 1-degree and 5-km, Conterminous US, 2005 prepared by G.J. Collatz, C. Williams, B. Ghimire, S. Goward, and J. Masek.
This data set provides spatially-gridded estimates of above ground biomass, net primary productivity, and net ecosystem productivity for forested areas of the conterminous United States. The data were derived by using Forest Inventory and Analysis (FIA) data to constrain forest growth rates in a Carnegie-Ames-Stanford Approach (CASA) carbon-cycle process model, and provide a detailed estimate of carbon sources and sinks from recent forest disturbance and recovery across regions and forest types of the US.
The Carbon Monitoring System (CMS) is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System will use the full range of NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based/in situ data.
The ORNL DAAC is one of twelve NASA funded Earth Observing System Data and Information System (EOSDIS) Distributed Active Archive Centers (DAACs) and is responsible for archiving and distributing terrestrial ecology and biogeochemical dynamics data.