OPS 3-8
Long-term observations and analysis for an integrated carbon observing system
Results/Conclusions: Multiple synthesis and analysis approaches have been developed and applied with observations from the long-term AmeriFlux network and tall towers. For example, a data-driven approach was used to upscale eddy covariance flux data to the continent by integration flux observations, meteorology, stand age, aboveground biomass and a proxy for canopy nitrogen concentrations as well as remote sensing observations from a variety of products from MODIS satellite sensors (Xiao et al. 2014). Here, the main source of interannual variability in carbon fluxes were drought and disturbances. In addition, the accuracy of predicted fluxes can be improved using inverse modeling with atmospheric CO2 from tall towers, aircraft, and satellites. In land models such as CLM4.5, parameterization with canopy observations for dominant forest species in place of plant functional types improves model sensitivity to drought and disturbances. Thus, integration of observations in a variety of modeling frameworks can reduce uncertainty in projections of status and trends in carbon cycling. Consistent long-term observations and reducing uncertainty are essential for the scale of policy-relevance.