IMPACTS

American Meteorological Society’s Annual Meeting

Across four different conferences hosted during the the American Meteorological Society’s Annual Meeting (AMS AI, AMS Coastal, AMS R2O, and AMS Societal Impact), members of the Coastal Dynamics Lab delivered and achieved:

  • over 100 student-led presentations (many more from the whole team)

  • Several poster and presentation awards across separate Annual Meetings

  • A respective number of peer reviewed journal publications

  • Funding for 50+ students to attend the AMS Annual Meeting

  • Description

    • Estrada Jr., B., Tissot, P.E., and King, S.A., 2026: Machine learning–based groundwater level predictions as a proxy for compound flooding events in Miami, Florida. Oral presentation, Joint Session of the 25th Conference on Artificial Intelligence for Environmental Science and the 24th Symposium on the Coastal Environment, 106th Annual Meeting of the American Meteorological Society, Houston, TX, USA, Jan 25–29, 2026. https://ams.confex.com/ams/106ANNUAL/meetingapp.cgi/Paper/473776 *This presentation was awarded first place in the 24th Symposium on the Coastal Environment oral presentations category.

    • Cattell, J., Tissot, P.E., Marrero Colominas, H.M., Taylor, A., Shelly, R., Glazer, B., and Mukai, K., 2026: Compound coastal flooding observations and predictions with low-cost water level sensors along the mid-Texas coast. Poster presentation, 24th Symposium on the Coastal Environment, 106th Annual Meeting of the American Meteorological Society, Houston, TX, USA, Jan 25–29, 2026. (Beto Estrada was part of Expand AI/FIU)
      https://ams.confex.com/ams/106ANNUAL/meetingapp.cgi/Paper/476109 *This presentation was awarded Second place in the 24th Symposium on the Coastal Environment poster presentations category. (Juliet Cattell is part of Expand AI/FIU)

    • White, M.C., Wirz, C.D., Cains, M.G., Flores, E., Demuth, J.L., and Tissot, P.E., 2026: How decision makers trust and use machine learning predictions for managing marine cold-stunning risks. Oral presentation, Joint Session of the 21st Symposium on Societal Applications: Policy, Research and Practice and the 14th Symposium on Building a Weather-Ready Nation, 106th Annual Meeting of the American Meteorological Society, Houston, TX, USA, Jan 25–29, 2026.
      https://ams.confex.com/ams/106ANNUAL/meetingapp.cgi/Paper/474402 *This presentation was awarded third place in the 2026 Societal Applications Symposium oral presentations category.

    • White, M.C., Tissot, P.E., Woodall, J.T., Duff, C., Marrero Colominas, H.M., King, S.A., Fagg, A.H., Sterba-Boatwright, B., Shotande, M.O., and Stewart, J.Q., 2026: AI machine learning uncertainty quantification for cold-stunning events. Oral presentation, Joint Session of the 24th Symposium on the Coastal Environment and the 25th Conference on Artificial Intelligence for Environmental Science, 106th Annual Meeting of the American Meteorological Society, Houston, TX, USA, Jan 25–29, 2026.
      https://ams.confex.com/ams/106ANNUAL/meetingapp.cgi/Paper/474540 *This presentation received an award in the 25thArtificial Intelligence Conference oral presentations category. (Miranda is part of AI2ES & NOAA CCME)

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