Constraining the Carbon Cycle with Tree-Ring-Derived Estimates of Aboveground Biomass.

Project Overview
Project Abstract: 
We present a research plan to improve land surface models (LSMs) using new and existing data collections and modeling infrastructure that we have helped to develop. To achieve this goal, we will build upon a data assimilation system under development for the Community Land Model (CLM) and augment the available carbon and water flux observations with data products derived from (1) a network of already installed phenology monitoring webcams (2) seasonal measurements of tree growth and (3) tree-ring based estimates of primary productivity. We will use these data to constrain short (intra daily), medium (seasonal to intra-annual) and long (inter annual to decadal) term processes in the model This research will build on established data collection and data assimilation capabilities to constrain land surface processes using ensemble techniques. The constrained model will be used to test hypotheses related to the utility of observations representing different timescales to constrain seasonal, interannual, and decadal carbon dynamics. Finally, carbon uptake and storage and associated uncertainty constrained by observations will be produced and validated at a regional scale.
Investigator Info
Funding agency: 
Department of Energy