Modeling and predicting climate-biosphere-hydrosphere interactions and feedbacks with Earth System Models (ESMs) by integrating theoretical understandings and observational capabilities.
Quantify the carbon budgets and variations of carbon stocks and fluxes at high resolution using ESMs. Ying’s lab is involved in a project aiming to provide carbon fluxes and storage products that can resolve the high spatial heterogeneity to inform policy making, together with thorough uncertainty assessments to ensure traceability, transparency, and accountability. In this project, Ying’s lab leads the “bottom-up” aspect of carbon budget quantification.
Incorporate crop genetics into ESMs to quantify the interactions and feedbacks among Food Production and Climate variability. Ying’s lab is working on developing mathematical frameworks to represent the improvement of crop genetics into ESMs and attribute its impact on crop productivity and regional climate in a geospatially explicit manner.