Carbon Cycle Modeling
We inspect how Earth surface processes responded to carbon cycle perturbations in the geological past. Specifically, we integrate multiple proxy records and apply numerical modeling to quantify the carbon sources (e.g., volcanic degassing) and sinks (e.g., rock weathering and associated carbonate precipitation in the ocean) during these perturbation events.
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River-Land Dataset
We aim to build a coherent database that harmonizes a suite of geo-datasets related to river chemistry and Earth surface properties at regional or global scales. This dataset serves as the foundation to apply numerical modeling and machine learning to quantify the surface rock weathering fluxes, variation in coastal biogeochemical conditions, and carbon flow involved in river-land-atmosphere interaction.
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Enhanced Rock Weathering
Higher CO2 levels lead to global warming and multidimensional environmental and socioeconomic crises. We investigate how we could implement enhanced rock weathering (ERW) on land surface to help tackle the ongoing climate change.
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