معرفی
Dr. Di Tian is an Associate Professor of Agroclimatology in the Department of Crop, Soil, and Environmental Sciences at Auburn University's College of Agriculture. His research focuses on integrating climate science, remote sensing, and machine learning to address environmental challenges in agriculture and water resources. Key areas include climate extremes modeling, drought prediction, and sustainable irrigation strategies.
Education details are not explicitly stated in the provided text, but his work emphasizes advanced computational methods applied to agricultural systems. Research interests span agroclimatology, hydrological processes, and the application of deep learning to environmental data analysis.
Recent publications emphasize subseasonal forecasting of soil moisture and flash droughts, climate model bias correction, and the use of remote sensing (e.g., ECOSTRESS) for evapotranspiration monitoring. His work bridges climate science with actionable insights for agriculture and water management.
Dr. Tian leads the Hydroclimate Research Group, offering research opportunities for undergraduate and graduate students, postdocs, and visiting scholars. He provides research assistantships and nominates outstanding candidates for fellowships like the Presidential Graduate Research Award. Postdoctoral opportunities prioritize candidates with backgrounds in hydrology, climatology, or data science.
Labs and teams include the Hydroclimate Research Group, which develops frameworks for climate impact assessment and integrates numerical weather predictions with satellite data. Current projects focus on compound climate extremes, irrigation strategies under climate change, and improving crop resilience through data-driven approaches.
