Publications

 

Journal Publications

 

Marzban, C., Liu, J., & Tissot, P. (2022). On Variability due to Local Minima and K-fold Cross-validation. Artificial Intelligence for the Earth Systems, 1-25. DOI: 10.1175/AIES-D-21-0004.1.

 

Liu, N., Liu, C., & Tissot, P. E. (2022). Relative importance of large-scale environmental variables to the world-wide variability of thunderstorms. Journal of Geophysical Research: Atmospheres, 127(17), e2021JD036065. DOI: 10.1029/2021JD036065.

 

McGovern, A., Bostrom, A., Davis, P., Demuth, J. L., Ebert-Uphof, I., He, R., Hickey, J., Gagne II, D.J., Snook, N., Stewart, J.Q., Thorncroft, C., Tissot, P., and Williams, J. K. (2022). NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES). Bulletin of the American Meteorological Society. DOI: 10.1175/BAMS-D-21-0020.1.

 

Kamangir, H., Krell, E., Collins, W., King, S.A., Tissot, P.E. (2022). Importance of 3D Convolution and Physics-based Feature Grouping in Atmospheric Predictions. Environmental Modelling & Software, 154, 105424, DOI: 10.1016/j.envsoft.2022.105424.

 

Vicens-Miquel, M., Medrano, A., Tissot, P., Starek, M., & Colburn, K. (2022). Deep Learning Automatic Detection of the Wet/Dry Shoreline at Fish Pass, Texas. In IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 1876-1879). IEEE. DOI: 10.1109/IGARSS46834.2022.9884633.

 

Kirk, K., Dusek, G., Tissot, P., Sweet, W. (2022). Wave Height Estimates from Acoustic Tide Gauges. Journal of Atmospheric and Oceanic Technology, accepted. DOI: 10.1175/JTECH-D-20-0212.

 

Haupt, Sue Ellen, David John Gagne, William W. Hsieh, Vladimir Krasnopolsky, Amy McGovern, Caren Marzban, William Moninger, Valliappa Lakshmanan, Philippe Tissot, and John K. Williams. (2022). The History and Practice of AI in the Environmental Sciences. Bulletin of the American Meteorological Society. 103, 5. DOI: 10.1175/BAMS-D-20-0234.1.

 

McColly, Q., Mace, R., Tissot, P., & Yoskowitz, D. (2021). Pricing Options on Water in Texas. Texas Water Journal, 12(1), 91–108. DOI: 10.21423/twj.v12i1.7121.

 

Kamangir, H., Collins, W., Tissot, P., King, S.A., Dinh, H., Durham, N., Rizzo, J. (2021). FogNet: A Multiscale 3D CNN with Double-Branch Dense Block and Attention Mechanism for Fog Prediction. Machine Learning with Applications, 5, 100038. DOI: 10.1016/j.mlwa.2021.100038.

 

Boukabara, S.-A., Krasnopolsky, V. M., Penny, S. G., Stewart, J. Q., McGovern, A., Hall, D., Hoeve, J. E. T., Hickey, J., Huang, H.-L. A., Williams, J., Ide, K., Tissot, P., Haupt, S. E., Casey, K. S., Oza, N., Geer, A., Maddy, E. S. and Hoffman, R. N. (2021). Outlook for exploiting artificial intelligence in Earth science. Bull. Am. Meteorol. Soc., 1-53. DOI: 10.1175/BAMS-D-20-0031.1.

 

    • Tissot, P.E., Reisinger, A., Zhong, W., Qiao, X., Chu, T., Zhang, H., Shinoda, T. and Rizzo, J. (2022). Global and Relative Sea Level Rise and Inundation. Invited presentation at the September 23, 2022, Workshop on Subsidence, Erosion, and Shoreline Retreat – Port Aransas, Tx.

    • Tissot, P.E., Williams, J., Collins, W., King, S., White, M., Wirz, C., Colburn, B. (2022). R2X and AI2ES: Discussion of Paths to Trustworthy AI Operational Models. Presentation at the 4th NOAA AI Workshop, September 9th 2022. https://noaaai2022.sched.com/

    • Tissot, P.E., Duff, C., White, M. (2022) The Texas Cold-Water Response Collaborative (TCRC) and AI2ES Institute: Predictive Modeling for Cold Stunning Events. Invited presentation at the 2022 Texas Parks and Wildlife KAST meeting, 6/23/2022, Corpus Christi, Texas.

    • Tissot, P.E., Kamangir, H., Krell, E., Vicens-Miquel, M., White, M., Colburn, B., Estrada, B., Duff, C., Colburn, K., Collins, W., King, A.A., Medrano, A., Nguyen, S., Durham, N. (2022) . The AI2ES NSF AI Institute: Predictions and Coastal AI Research in the Coastal Bend. Presentation at the 6th Texas ASBPA Symposium, April 14, Corpus Christi, Tx,

    • Tissot, P.E., Reisinger, A., Zhong, W., Qiao, X., Chu, T., Zhang, H., Rizzo, J. (2022). RELATIVE sea level rise and increasing inundation frequencies: it’s all local. Invited Presentation at the National Tropical Weather Conference, April 6-9, South Padre Island, Tx.

    • P. Tissot, H. Kamangir, E. Krell, H. Dinh, S. King, W. Collins (2022) Comparison of Deep Learning Methods for the Prediction of Coastal Fog, Ocean Sciences Meeting, 2/24-3/4 https://osm2022.secure-platform.com/a/gallery/rounds/3/details/8742

    • W. Collins, Dinh, H.T.H., Kamangir, H., Tissot, P.E., and King, S.A. (2022) Use of Deep Learning to Predict Fog with Superior Performance than NWP Model Ensemble Prediction Systems: Economic Value and Potential Strategies to Improve Economic Value, AMS 102nd Annual Meeting. https://ams.confex.com/ams/102ANNUAL/meetingapp.cgi/Paper/392517

    • Shinoda, T., Tissot, P., Xie, F. and Espericueta, S. (2021). Influence of Loop Current and Eddy Shedding on Subseasonal Sea Level Variability Along the Western Gulf Coast. Presentation at the AGU Fall 2021, New Orleans, LS, December 13-17, 2021.

    • Tissot, P.E. (2021). The Texas Marine Cold-Water Response Collaborative (TCRC). Invited presentation at the area wide meeting, December 1st, 2021, Corpus Christi, TX.

    • Tissot, P.E. (2021). The NSF AI2ES Institute. Invited presentation at GeoAI 2021, Del Mar College, Corpus Christi, Texas, November 17, 2021.

    • Tissot, P.E. (2021). Mapping Current and Future Sea Level Rise for the Coastal Bend. Invited presentation at the Cape Climate Summit: Race to Save the Coastal Bend November 13, 2021.

    • Tissot. P.E. (2021). The Application of Artificial Intelligence to Mitigate Coastal Environmental Issues. Invited presentation at the Bethune Cookman Department of Integrated Environmental Science Seminar, November 1, 2021,

    • Tissot, P.E., McGovern, A., He, R., Kamangir, H., Krell, E. and King, S.A. (2021). Coastal AI and the AI2ES NSF AI Institute, Oral presentation at the ASBPA Coastal Conference, New Orleans, LS, 9/30/2021 (https://asbpa.org/2021-conference-program/).

    • Tissot, P.E. (2021). Cold Stunning Events in the Laguna Madre Voluntary Activities Interruptions & Predictions. Invited presentations at the 116th GICA Annual Seminar, August 5th 2021, New Orleans, Ls.

    • Tissot, P.E. (2021). Coastal AI Models, their General Settings and Early Efforts to Explain the Models and Bring Trust to Users. Presentation at the 2021 Trustworthy Artificial Intelligence for Environmental Science (TAI4ES) Summer School , organized by the National Center of Atmospheric Research and the NSF AI2ES Institute, July 26-29, 2021 (https://docs.google.com/document/d/1HVvBR_8DoHxRvUUYKL31LskK1tIjo2sByEEnTINyYEA/edit)

    • Tissot, P.E. (2021). Artificial Intelligence: History, Future and the Coastal Environment. Invited presentation to the University at Albany 2020-2021 DAES/ASRC Joint Colloquium March 28, 2021.April 22, 2021.

    • Tissot, P.E. (2020). Leveraging NWP for Operational Machine Learning Predictions for Coastal and Environmental Stakeholder. Presentation at the 2nd Workshop on Leveraging AI in the Exploitation of Satellite Earth Observations & Numerical Weather Prediction (NWP). October 22, 2020. Workshop in Slow Motion organized by NOAA Center for Weather and Climate Prediction, College Park, Md, remote presentation.

    • Davis, P., Tissot, P.E., Nelson, J., Caruso, K., Best, D., King, S., McGovern, A. (2020). Broadening the AI Workforce through a Community College Program. 27th National Advanced Technological Education (ATE) Conference, American Association of Community Colleges (AACC), Spotlight Session and Oral Presentation, 10/19-23/2020.

    • Kamangir, H., Collins, W., Tissot, P., King, S.A., Dinh, H., Durham, N., and Rizzo, J. (2020). 3D Convolutional Deep Learning for Coastal Fog Predictions. NOAA 2nd Workshop on Leveraging AI in Environmental Sciences, poster virtual presentation, 9/29/2020, NOAA Center for Weather and Climate Prediction, College Park, MD. https://www.star.nesdis.noaa.gov/star/documents/meetings/2020AI/presentations/202009/20200929_Kamangir.pdf

    • Duff, C., Woodall, J., Tissot, P.E., White, M., and Vicens-Miquel, M. (2022) Utilizing Long Short-Term Memory to Predict Water Temperature for Cold Stunning Events. Presentations at the August 5, 2022 TAMUCC REU symposium and the July AI2ES site wide meeting, Corpus Christi, TX.

    • Dante Ramirez, Ashley Marines, P.E. Tissot, M. Vicens-Miquel, M. White (2022). AI Predictions of Water Levels. Presentations at the August 5, 2022 TAMUCC REU symposium and the July AI2ES site wide meeting, Corpus Christi, TX.

    • Vicens-Miquel, Marina; Medrano, Antonio; Tissot, Philippe; Kamangir, Hamid; Starek, Michael (2022) “Deep Learning Generalized Model for Wet/Dry Shoreline Detection”, 6th Texas ASBPA Symposium, Corpus Christi, TX, April 14, 2022.

    • Krell, E., Kamangir, H., Fries, J., Judge, J., Collins, W., King, S.A., Tissot, P. (2022). The influence of grouping features on explainable artificial intelligence for a complex fog prediction deep learning model. Presentation at the TAMU-CC 2022 Spring Student Research Symposium, April 8, 2022. *The presentation was awarded third place in the overall meeting student competition

    • Vicens-Miquel, Marina; Medrano, Antonio; Tissot, Philippe; Kamangir, Hamid; Starek, Michael (2022) “Georeferenced AI Wet/Dry Shoreline Detection using UAV Imagery”, ESRI Imagery and Remote Sensing Summit. March 31, 2022.

    • Vicens-Miquel, Marina; Medrano, Antonio; Tissot, Philippe; Kamangir, Hamid; Starek, Michael (2022) “Automated Wet/Dry Shoreline Delineation Using Deep Learning”, American Association of Geographers Annual Meeting, Feb 25 – March 1, 2022.

    • Vicens-Miquel, M., A. Medrano, P. Tissot, H. Kamangir, M. Starek (2022) Deep learning wet/dry shoreline detection using UAV imagery, AMS 102nd Annual Meeting. https://ams.confex.com/ams/102ANNUAL/meetingapp.cgi/Paper/397365

    • E. Krell, H. Kamangir, J. Friesand, J. Judge, W. Collins, S.A. King, and P. Tissot (2022) Explaining Complex 3D Atmospheric CNNs Using SHAP-Based Channel-wise XAI Techniques with Interactive 3D Visualization, AMS 102nd Annual Meeting. https://ams.confex.com/ams/102ANNUAL/meetingapp.cgi/Paper/397409

    • H. Kamangir, Krell, E., Collins, W., King, S.A., and Tissot, P.E. (2022) Importance of 3D Convolution- and Physics-Based Modeling of Atmospheric Predictions: Fog Forecasting Case Study, AMS 102nd Annual Meeting. https://ams.confex.com/ams/102ANNUAL/meetingapp.cgi/Paper/395207. *The presentation was awarded honorable mention in the student competition

    • Estrada, B., B. Colburn, P. Tissot (2022) Interactive Visualizations of Water Level and Wave Height at Different Time Scales, AMS 102nd Annual Meeting. https://ams.confex.com/ams/102ANNUAL/meetingapp.cgi/Paper/400550

    • B. Colburn, Tissot, P.E., Williams, J., Nguyen, S., Durham, N., and King, S.A. (2022) Dynamic Real-Time Evaluation of Weather Forecast Models, AMS 102nd Annual Meeting. https://ams.confex.com/ams/102ANNUAL/meetingapp.cgi/Paper/397316

    • Duff, C., and P.E. Tissot (2022) Neural Network Predictions of Water Temperature for Cold Stunning Events, AMS 102nd Annual Meeting. https://ams.confex.com/ams/102ANNUAL/meetingapp.cgi/Paper/400344

    • H. Dinh, King, S.A., Collins, W.G., Kamangir, H., Williams, J., and Tissot, P.E. (2022) Variational Autoencoder For Coastal Fog Prediction Using the High-Resolution Rapid Refresh (HRRR) Dataset, AMS 102nd Annual Meeting. https://ams.confex.com/ams/102ANNUAL/meetingapp.cgi/Paper/399664

    • Vicens-Miquel, M., Medrano, A., Tissot, P.E., Kamangir, H., Starek, M. (2021). Wet/Dry Shoreline Detection Using Deep Learning. Oral Presentation. Presentation at the 2021 ASBPA Coastal Conference, New Orleans, LS, 10/1/2021 (https://asbpa.org/2021-conference-program/).

    • Kamangir, H. FogNet description including Physics groupings of predictors. Presentation at the 2021 Trustworthy Artificial Intelligence for Environmental Science (TAI4ES) Summer School , organized by the National Center of Atmospheric Research and the NSF AI2ES Institute, July 26-29, 2021 (https://docs.google.com/document/d/1HVvBR_8DoHxRvUUYKL31LskK1tIjo2sByEEnTINyYEA/edit).

    • Krell Evan. XAI methods applied to FogNet (2021). Presentation at the 2021 Trustworthy Artificial Intelligence for Environmental Science (TAI4ES) Summer School , organized by the National Center of Atmospheric Research and the NSF AI2ES Institute, July 26-29, 2021 (https://docs.google.com/document/d/1HVvBR_8DoHxRvUUYKL31LskK1tIjo2sByEEnTINyYEA/edit).

    • Duff, C. & Tissot, P.E. (2021). Sea turtle cold stunning event water temperature predictions for resource management using machine learning. Presentation at the 2021 Coastal Bend AI2ES Retreat, Corpus Christi, Texas, July 19.

    • Estrada, B., Presentation at the 2021 Coastal Bend AI2ES Retreat, Corpus Christi, Texas, July 19.

    • Dinh, H., Kamangir, H., Collins, W., King, S.A., Tissot, P., Durham, N., and Rizzo, J. (2021). Deep Learning Predictions of Coastal Fog Using Autoencoders. Oral Presentation at the 2021 American Meteorological Society Annual Meeting, New Orleans, Ls.. https://ams.confex.com/ams/101ANNUAL/meetingapp.cgi/Paper/380605. *The presentation was awarded honorable mention in the student competition (34 posters and presentations)

    • Kamangir, H., Tissot, P., Collins, W., King, S. A., Dinh, H., Durham, N. and Rizzo, J. (2021). FogNet: A Multiscale 3D CNN with an Attention Mechanism and a Dense Block for Fog Predictions. Oral Presentation at the 2021 American Meteorological Society Annual Meeting, New Orleans, Ls.. https://ams.confex.com/ams/101ANNUAL/meetingapp.cgi/Paper/382528. *The presentation was awarded the third prize of the student competition (34 posters and presentations)

    • Kamangir, H., Collins, W., Tissot, P., King, S.A., Dinh, H., Durham, N. and Rizzo, J. (2020). FogNet: A 3D Attention Convolutional Neural Network for Fog Prediction. Presentation at the 2020 YOUMARES 11 Conference, Deutsche Gesellschaft für Meeresforschung, Hamburg, Germany