Terrestrial biosphere models can help identify physical processes that control carbon
dynamics, including land–atmosphere CO₂ fluxes, and have great potential to predict the terrestrial
ecosystem response to changing climate. The skill of models that provide continental-scale carbon flux
estimates, however, remains largely untested. This paper evaluates the performance of continental-scale...
Resolving the debate surrounding the nature and controls of seasonal variation in the structure and metabolism of Amazonian rainforests is critical to understanding their response to climate change. In situ studies have observed higher photosynthetic and evapotranspiration rates, increased litterfall and leaf flushing during the Sunlight-rich dry season. Satellite data...
Accurately simulating gross primary productivity (GPP) in terrestrial ecosystem models is critical because errors in simulated GPP propagate through the model to introduce additional errors in simulated biomass and other fluxes. We evaluated simulated, daily average GPP from 26 models against estimated GPP at 39 eddy covariance flux tower sites...