Fall 2026 · HWRS 696F · Advanced Topics in Hydrological Modeling
An Information Theory Perspective
Regents Professor, Hydrology & Atmospheric Sciences, University of Arizona · hoshin@arizona.edu
Nine topic collections. Open any one to see its primary and supporting readings, or use the keyword filter to cut across all of them at once.
Models are descriptions encoded using language
Hoshin Gupta
What role does hydrological science have in the age of machine learning?
Jack & Chloe
Where in the modeling workflow can an agent actually help?
Maria & Anik
The IntelliCal agent
Abdul & Sahar
Equation hypothesis generation
Aldo & Jingxuan
Architecture hypothesis generation
Nabin & Jiahui
What are metrics, anyway?
Jawad & Ahmad, then Hoshin
Readings to be announced
Group discussion
ML-augmented interpretable physical-conceptual modeling
What the course is about, its goals, and the conceptual through-line from the opening lectures.
All seventeen weeks, with each teaching week linked to its readings.
77 entries across 9 topics, filterable by keyword, type and format.
2 class sessions recorded on Zoom, playable in the page.
Syllabus, the instructor's lecture notes, the learning prompt, and a full file index.
Hoshin's generic prompt for learning any topic from first principles.