The Earth's terrestrial biosphere currently absorbs about one-third of anthropogenic CO2 emissions, thereby mitigating the impacts of climate change. Earth System Models project that the land will continue to act as a carbon sink, but the strength of this sink is subject to significant uncertainties. Reducing these uncertainties is essential, not only for scientific purposes but also for supporting global climate change policies. The rapid advancement in machine learning, coupled with accelerating computational speed and increasing global earth observations, creates new opportunities for advancing earth system modeling. Much of my group's research supports the evaluation and development of the Canadian Earth System Model.
