J2 Applications of Artificial Intelligence to the Coastal Environment I

Monday, 13 January 2025: 10:45 AM-12:00 PM
218 (New Orleans Ernest N. Morial Convention Center)
Hosts: (Joint between the 23rd Symposium on the Coastal Environment; and the 24th Conference on Artificial Intelligence for Environmental Science )
Submitters:
Gregory Dusek, NWS, Silver Spring, MD; Douglas Rao, NOAA, NESDIS/NCEI, Asheville, NC and Yun Qian, PNNL, Richland, WA
Cochairs:
Philippe E. Tissot and John A Callahan, University of Delaware, Newark, DE

Proposed Topic Description: This session will explore Machine Learning and Big Data applications in the coastal environment. Abstracts are invited on the following topics: the collection of novel, large data sets for data-driven modeling; descriptive modeling of data in the coastal environment, including processing, quality control and event detection or classification; predictive modeling in the coastal environment, including time series, deep learning, tree-based, neural network, and related approaches; the development and application of explainable AI methods and the development and assessment of trust in coastal AI methods.

Papers:
11:00 AM
J2.2
Total Water Level Predictions for a Sandy Beach: Camera-Based Measurements and an Operational Machine-Learning Model
Marina Vicens-Miquel, Texas A&M University-Corpus Christi, Corpus Christi, TX; and P. E. Tissot, K. Colburn, D. D. Williams, M. J. Starek, J. A. Pilartes-Congo, M. A. Kastl, S. L. Stephenson, and A. Medrano, PhD

11:15 AM
J2.3
Leveraging AI and Rasterized UAS-Photogrammetry/LiDAR Data for High-Resolution Coastal Mapping
Mohammad Pashaei, Texas A&M University - Corpus Christi, Corpus Christi, TX; and M. J. Starek and J. Berryhill

11:30 AM
J2.4
Machine Learning Inland Compound Flooding Predictions for Corpus Christi, Texas
Felix Fuentes III, Texas A&M Univ.-Corpus Christi, Corpus Christi, TX; and M. Vicens-Miquel and P. E. Tissot

11:45 AM
J2.5
Physics Informed Machine Learning for Rapid and Enhanced Tropical Cyclone Forecasts
Mark Stephan Bartlett Jr., The Water Institute, Baton Rouge, LA; and N. Geldner, N. Howes, Z. Cobell, and R. Luettich

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner