AGU is fighting for science.
Keep up with AGU’s latest news to be the first to know when new releases and updates go live.
Learn More
  1. AGU Members
  2. Tiantian Yang
Member Since 2012
Tiantian Yang
University of Michigan Ann Arbor
View All Research
Professional Experience
University of Michigan Ann Arbor
2026 - Present
University of Oklahoma
Associate Professor
2024 - 2026
University of Oklahoma
Assistant Professor
2018 - 2024
Deltares USA
Hydrologist/ Research Scientist
2015 - 2018
University of California Irvine
Grad Student
2010 - 2015
University of California Irvine
Scientist
Show All Professional Experience
Show Less Professional Experience
Education
University of California Irvine
Doctorate
2015
University of California Irvine
Masters
2011
Tsinghua University
Bachelors
2009
Show All Education
Show Less Education
Tiantian's AGU Research
Filters
Clear All
Remote Sensing-based Soil Moisture Estimation in the Irrigation District by Integrating Crop-Specific Differences through a Hybrid Deep Learning-based Approach
REMOTE SENSING OF SOIL PROCESSES POSTER
hydrology | 18 december 2025
Large-Scale Retrospective Streamflow Performance Comparison of the National Water Model v3.0 and v2.1 Across CONUS
NEW DEVELOPMENTS AND FUTURE DIRECTIONS IN COMMUNITY WATER RESOURCES MODELING: SYNERGY AT THE INTERFACE OF PROCESS UNDERSTANDING, ARTIFICIAL INTELLIGENCE, COMPUTER SCIENCE, OPERATIONS, AND DECISION-MAKING IV POSTER
hydrology | 18 december 2025
Comparative AI Techniques for Reservoir Outflow Prediction: Hyperparameter Tuning and Large-Scale Validation across 441 Dams in CONUS
WATER AND SOCIETY: LEVERAGING DIGITAL TWINS, AI, AND OTHER EMERGING TECHNOLOGIES TO SUPPORT MANAGEMENT AND GOVERNANCE OF COUPLED HUMAN-WATER SYSTEMS II POSTER
hydrology | 18 december 2025
Comparative Analysis of ML and DL Models for Reservoir Outflow Prediction: Hyperparameter Tuning and Feature Selection Across 441 CONUS Dams
ADVANCING WATER SCIENCE THROUGH ARTIFICIAL INTELLIGENCE: LESSONS, STRATEGIES, AND NEW FRONTIERS II POSTER
hydrology | 18 december 2025
A Deep State Space Model for Rainfall-Runoff Simulations
FRONTIER AI MODELS TRANSFORMING WATER SCIENCE II POSTER
hydrology | 17 december 2025
Are AI/DL models’ performance in streamflow simulation comparable to the skills of operational hydrologic model in River Forecast Centers’ real-world setting?
NEW DEVELOPMENTS AND FUTURE DIRECTIONS IN COMMUNITY WATER RESOURCES MODELING: SYNERGY AT THE INTERFACE OF PROCESS UNDERSTANDING, ARTIFICIAL INTELLIGENCE, COMPUTER SCIENCE, OPERATIONS, AND DECISION-MAKING II ORAL
hydrology | 17 december 2025
A Deep State Space Model for Daily Reservoir Release Simulation Over the CONUS
ADVANCING WATER SCIENCE THROUGH ARTIFICIAL INTELLIGENCE: LESSONS, STRATEGIES, AND NEW FRONTIERS I ORAL
hydrology | 17 december 2025
A Physics-Enhanced Conservation-Augmented Net (PECAN) for distributed hydrologic modeling
ADVANCING PREDICTION, THEORY, AND CAUSAL UNDERSTANDING IN GEOSCIENCES THROUGH AI AND BIG DATA I GEOBURST
hydrology | 16 december 2025
Honors & Awards
Hydrologic Sciences Early Career Award
Received December 2025