-
Di Tian
Auburn UniversityMeeting roles in:
Explainable transformer-based deep learning improves hourly precipitation estimates in observation-sparse regions
Integrating Supervised and Self-Supervised Deep Learning to Develop Gap-Free Daytime and Nighttime Land Surface Temperature at 100-M Resolution
Explainable Deep Learning Reveals Climate Change Impacts on River Discharge across Gulf Coast Watersheds
Spatiotemporal Propagations of Subseasonal Droughts over the Contiguous United States
Leveraging Machine Learning and MCMC to Optimize Community Land Model Parameters for Accurate Gross Primary Productivity Estimates
An AI-Based Dynamical System Framework for Early Warning of Flash Drought Onsets
Enter Note
Go to previous page in this tab
Author/Chair
