Course Schedule and Catalog
Course Schedule - Fall Semester 2025
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
CEVE 543 001 (CRN: 15055)
STATPHYS HYDROCLIMATE EXTREMES
Long Title: STATISTICAL-PHYSICAL METHODS FOR HYDROCLIMATE EXTREMES AND CATASTROPHES
Department: Civil & Environmental Engr
Instructor: Doss-Gollin, James
Meeting: 1:00PM - 1:50PM MWF (25-AUG-2025 - 5-DEC-2025)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Section Max Enrollment: 20
Section Enrolled: 8
Enrollment data as of: 20-APR-2025 12:25PM
Final Exam: GR Course-Dept Schedules Exam
Description: This course explores the integration of physics-based and statistical (and machine learning) methods used to assess and model hydroclimate extremes and catastrophes, such as floods, droughts, and extreme rainfall. A central theme is quantifying uncertainty in extreme event probabilities, given the challenges posed by sparse observations and model biases.
Through hands-on programming assignments, students will gain experience applying these methods to real-world problems. Topics include extreme value theory, optimal sampling, synthetic weather generation, downscaling and bias correction, surrogate models, and data assimilation. Recommended Prerequisite(s): A background in Bayesian statistics (e.g., 525) and/or machine learning (e.g., ELEC 478/578) is strongly recommended, along with familiarity with programming (e.g., Python, Julia, or R).