As one major component of Earth system models, terrestrial ecosystem model substantially impacts future climate predictions via biogeochemical and biophysical feedbacks. However, recent studies have found large uncertainties in the simulations by major terrestrial ecosystem models in key biogeochemical and biophysical processes. Reducing such uncertainties is critical for improving our future projections, and will requires extensive and systematic evaluation of terrestrial component using field observations, which aims to identify key model deficiencies for future model improvement.
In this session, we welcome contributions on model evaluations against observations with aims of showing key model differences and identifying existing key knowledge gaps. We are especially interested in innovative approaches on model sharing, integration architectures and technologies that can be effectively used to integrate initiative resource-based models, even through the network, to track sources of model biases and reproduce complex ecosystem processes in order to improve model performance and accordingly results.