PUBLICATIONS

  • Krell, E., Mamalakis, A., King, S.A., Tissot, P., & Ebert-Uphoff, I. (2025) The Influence of Correlated Features on Neural Network Attribution Methods in Geoscience. Environmental Data Science, 4, e29. https://doi.org/10.1017/eds.2025.19.

  • Vicens-Miquel, M., Tissot, P., Williams, D. D., Colburn, K. F., Kastl, M., & Stephenson, S. (2024). A high-resolution spatiotemporal morphological dataset: Port Aransas beach, Texas. Data in Brief, 57, 110948. https://doi.org/10.1016/j.dib.2024.110948.

    Vicens-Miquel, M., Tissot, P., & Medrano, F. A. (2024). Exploring Deep Learning Methods for Short-Term Tide Gauge Water Level Predictions. Water 2024, 16(20), 2886. https://doi.org/10.3390/w16202886.

    Vicens-Miquel, M., Williams, D., & Tissot, P.E. (2024). Analysis of Sandy Beach Morphology Changes from a High Spatial Temporal Resolution Dataset. Journal of Coastal Research. https://doi.org/10.2112/JCOASTRES-D-24-00007.1.

    Vicens-Miquel, M.,Tissot, P., Williams, D., Colburn, K., Pilartes-Congo, J., Kastl, M., Stephenson, S., & Medrano, F.A. (2025). Machine Learning Predictions for Total Water Levels on a Sandy Beach. Journal of Coastal Research, 41(1), 57-72. https://doi.org/10.2112/JCOASTRES-D-24-00016.1.

    McGovern, A., Demuth, J., Bostrom, A., Wirz, C. D., Tissot, P. E., Cains, M. G., & Musgrave, K. D. (2024). The value of convergence research for developing trustworthy AI for weather, climate, and ocean hazards. npj Natural Hazards, 1, 13. https://doi.org/10.1038/s44304-024-00014-x.

    Zhong, W., Wang, J., Tissot, P., & Zhang, H. (2024). Exploring the Impacts of Future Subsidence on a Dem Using Insar, Airborne Lidar, and Deep Learning. Airborne Lidar, and Deep Learning. Airborne Lidar, and Deep Learning http://dx.doi.org/10.2139/ssrn.4875597.

    McGovern, A., Ebert-Uphoff, I., Barnes, E.A., Bostrom, A., Cains, M.G., Davis, P., Demuth, J.L., Diochnos, D.I., Fagg, A.H., Tissot, P., Williams, J.K., & Wirz. C.D. (2024). AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography. AI Magazine. https://doi.org/10.1002/aaai.12160.

    Qiao, X., Chu, T., Krell, E., Tissot, P., Holland, S., Ahmed, M., & Smilovsky, D. (2024). Interpretation and Attribution of Coastal Land Subsidence: An InSAR and Machine Learning Perspective. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. https://doi.org/10.1109/JSTARS.2024.3361391.

    McGovern, A., Tissot, P., & Bostrom, A. (2024). Developing trustworthy AI for weather and climate. Physics Today, 77(1), 26-31. https://doi.org/10.1063/PT.3.5379.


    White, M. C., Vicens-Miquel, M., Tissot, P., & Krell, E. (2024). A 10-Year Metocean Dataset for Laguna Madre, Texas, Including for the Study of Extreme Cold Events. Data in Brief, 52, 109828. https://doi.org/10.1016/j.dib.2023.109828.

  • Krell, E., Kamangir, H., Collins, W., King, S. A., & Tissot, P. (2023). Aggregation Strategies to Improve XAI for Geoscience Models that Use Correlated, High-Dimensional Rasters. Environmental Data Science, 2:e45. https://doi.org/10.1017/eds.2023.39.

    Qiao, X., Chu, T., Tissot, P., & Holland, S. (2023). Long-term vertical-land-motion investigation with space and terrestrial geodetic techniques near San Leon, Texas, USA. International Journal of Applied Earth Observation and Geoinformation, 125, 103580. https://doi.org/10.1016/j.jag.2023.103580.

    Qiao, X., Chu, T., Tissot, P., & Holland, S. (2023). Sentinel-1 InSAR-derived land subsidence assessment along the Texas Gulf Coast. International Journal of Applied Earth Observation and Geoinformation, 125, 103544. https://doi.org/10.1016/j.jag.2023.103544.

    Bostrom, A., Demuth, J., Wirz, C., Cains, M., Schumacher, A., Madlambayan, D., Singh Bansal, A., Bearth, A., Chase, R., Crosman, K. M., Ebert-Uphoff, I., Gagne II, D. J., Guikema, S., Hoffman, R., Johnson, B. B., Kumler-Bonfanti, C., Lee, J.D., Lowe, A., McGovern, A., Radford, J., Roth, E., Sutter, C., Tissot, P., Roebber, P., Stewart, J. Q., White, M., & Williams, J. K. (2023). “Trust and Trustworthy Artificial Intelligence: A Research Agenda for AI in the Environmental Sciences”. Risk Analysis https://doi.org/10.1111/risa.14245.

    Pilartes-Congo, J., Kastl, M., Starek, M., Vicens-Miquel, M., & Tissot, P. (2023). Implementation of a Zed 2i Stereo Camera for High-Frequency Shoreline Change and Coastal Elevation Monitoring. International Geoscience and Remote Sensing Symposium (IGARSS), Pasadena, CA, USA, July 16-21. https//doi.org/10.1109/IGARSS52108.2023.10283203.

    Shinoda, T., Tissot, P.E., & Reisinger, A. (2022). Frontiers in Marine Science - Physical Oceanography Influence of Loop Current and Eddy Shedding on Subseasonal Sea Level Variability along the Western Gulf Coast https://doi.org/10.3389/fmars.2022.1049550.


    Qiao X., Chu, T., Tissot, P., Ali, I., & Ahmed, M. (2023). Vertical land motion monitored with satellite radar altimetry and tide gauge along the Texas coastline, USA, between 1993 and 2020. International Journal of Applied Earth Observation and Geoinformation, 117, 103222.  https://doi.org/10.1016/j.jag.2023.103222.

  • Vicens-Miquel, M., Medrano, F. A., Tissot, P. E., Kamangir, H. Starek, M. J., & Colburn, K. (2022). A Deep Learning Based Method to Delineate the Wet/Dry Shoreline and Compute its Elevation Using High-Resolution UAS Imagery, Remote Sensing 14(23), 5990. https://doi.org/10.3390/rs14235990.

    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. https://doi.org/10.1175/AIES-D-21-0004.1.

     

    Zhong, W., Chu, T., Tissot, P., Wu, Z., Chen, J., & Zhang, H., (2022). Integrated Coastal Subsidence Analysis Using InSAR, LiDAR, and Land Cover Data. Remote Sensing of the Environment, 282, 113297. https://doi.org/10.1016/j.rse.2022.113297.

     

    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. https://doi.org/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., & 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. https://doi.org/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, https://doi.org/10.1016/j.envsoft.2022.105424. 

    Qiao, X., Chu, T., Tissot, P., & Louis, J. (2022). Mapping and Evaluation of Land Deformation with InSAR and GNSS Measurements near Houston, Texas, USA. In IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 2478-2481). IEEE. https://doi.org/10.1109/IGARSS46834.2022.9883955.

    Vicens-Miquel, M., Medrano, F. A., Tissot, P., Kamangir, H., & Starek, M. (2022, July). 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. https://doi.org/10.1109/I-GARSS46834.2022.9884633.

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    Kirk, K., Dusek, G., Tissot, P., & Sweet, W. (2022). Wave Height Estimates from Acoustic Tide Gauges. Journal of Atmospheric and Oceanic Technology, 39(6), 721-738. https://doi.org/10.1175/JTECH-D-20-0212.1.

  • Haupt, S. E., Gagne, D. J., Hsieh, W. W.,  Krasnopolsky, V., McGovern, A., Marzban, C., Moninger, W., Lakshmanan, V., Tissot, P., & Williams, J. K. (2021). The History and Practice of AI in the Environmental Sciences. Bulletin of the American Meteorological Society. 103, 5. https://doi.org/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. https://doi.org/10.21423/twj.v12i1.7121.

    McGovern, A., Ebert-Uphoff, I., He, R., Tissot, P., Thorncroft, C., Bostrom, A., Demouth, J., Hickey, J., Williams, J., Boukabara, S., & Gagne, D. J. (2020). Artificial Intelligence and the Wicked Sustainability Problem, Eos, 101, https://doi.org/10.1029/2020EO147065.  

    Kamangir, H., Collins, W., Tissot, P., & King, S. A. (2020). A deep-learning model to predict thunderstorms within 400 km2 South Texas domains. Meteorol Appl. 2020;27:e1905. https://doi. org/10.1002/met.1905.


    Kamangir, H., Collins, W., Tissot, P., King, S. A., Dinh, H. T., 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. https://doi.org/10.1016/j.mlwa.2021.100038.

    Boukabara, S.-A., Krasnopolsky, V., Penny, S. G., Stewart, J. Q., McGovern, A., Hall, D., Ten Hoeve, J. E., Hickey, J., Allen Huang, H.-L., Williams, J. K., Ide, K., Tissot, P., Haupt, S. E., Casey, K. S., Oza, N., Geer, A. J., Maddy, E. S., & Hoffman, R. N. (2021). Outlook for Exploiting Artificial Intelligence in the Earth and Environmental Sciences. Bulletin of the American Meteorological Society, 102(5), E1016–E1032. https://doi.org/10.1175/bams-d-20-0031.1

    Thi, H., Hamid Kamangir, Collins, W. G., King, S. A., Tissot, P., Durham, N., & Rizzo, J. (2021, January 13). Deep Learning Predictions of Coastal Fog Using Autoencoders. AMS - 101st American Meteorological Society Annual Meeting; AMS. https://ams.confex.com/ams/101ANNUAL/meetingapp.cgi/Paper/380605

  • McGovern, A., Ebert-Uphoff, I., He, R., Tissot, P., Thorncroft, C., Bostrom, A., Demouth, J., Hickey, J., Williams, J., Boukabara, S., & Gagne, D. J. (2020). Artificial Intelligence and the Wicked Sustainability Problem, Eos, 101, https://doi.org/10.1029/2020EO147065

    Culver, M., Gibeaut, J. C., Shaver, D. J., Tissot, P., & Starek, M. (2020). Using Lidar Data to Assess the Relationship Between Beach Geomorphology and Kemp’s Ridley (Lepidochelys kempii) Nest Site Selection Along Padre Island, TX, United States. Frontiers in Marine Science, 7. https://doi.org/10.3389/fmars.2020.00214

    Kamangir, H., Collins, W., Tissot, P., & King, S. A. (2020). A deep‐learning model to predict thunderstorms within 400 km 2 South Texas domains. Meteorological Applications, 27(2). https://doi.org/10.1002/met.1905

  • Liu, N., Liu, C., & Tissot, P. E. (2019). A Bayesian‐Like Approach to Describe the Regional Variation of High‐Flash Rate Thunderstorms From Thermodynamic and Kinematic Environment Variables. Journal of Geophysical Research Atmospheres, 124(23), 12507–12522. https://doi.org/10.1029/2019jd031254

    Nguyen, C., Starek, M. J., Tissot, P., & Gibeaut, J. (2019). Unsupervised Clustering of Multi-Perspective 3D Point Cloud Data in Marshes: A Case Study. Remote Sensing, 11(22), 2715–2715. https://doi.org/10.3390/rs11222715

    Nguyen, C., Starek, M. J., Tissot, P. E., Cai, X., & Gibeaut, J. (2019). Ensemble Neural Networks for Modeling DEM Error. ISPRS International Journal of Geo-Information, 8(10), 444. https://doi.org/10.3390/ijgi8100444

    Moss, R. H., Avery, S., Baja, K., Burkett, M., Chischilly, A. M., Dell, J., Fleming, P. A., Geil, K., Jacobs, K., Jones, A., Knowlton, K., Koh, J., Lemos, M. C., Melillo, J., Pandya, R., Richmond, T. C., Scarlett, L., Snyder, J., Stults, M., & Waple, A. (2019). A Framework for Sustained Climate Assessment in the United States. Bulletin of the American Meteorological Society, 100(5), 897–907. https://doi.org/10.1175/bams-d-19-0130.1

  • D. Williams (2012). Monitoring, Analysis and GIS Interpretation of Hydrodynamic and Sediment Transport Systems for Inlets on the Central Texas Coast. Surfrider Foundation, Texas Coastal Bend Chapter. https://www.coastaldynamicslab.org/s/2012Packery-Surfrider-Foundation-Presentation.pdf


    Warner, N. N., & Tissot, P. E. (2012). Storm flooding sensitivity to sea level rise for Galveston Bay, Texas. Ocean Engineering, 44, 23–32. https://doi.org/10.1016/j.oceaneng.2012.01.011

    Reid, S. K., & Tissot, P. E. (2012). Performance of the Coastal Modeling System for Various Conditions in the Navigational Waters of the South Texas Coastal Bend. Estuarine and Coastal Modeling, 496–509. https://doi.org/10.1061/9780784412411.00029

    Tissot, P., & Warner, N. N. (2012). Reply to Alberto A. Boretti’s “Discussion of Natalya N. Warner, Philippe E. Tissot., 2012. Storm flooding sensitivity to sea level rise for Galveston Bay, Texas. Ocean Engineering 44, 23–32.” Ocean Engineering, 55, 238–239. https://doi.org/10.1016/j.oceaneng.2012.06.029

    D. Williams (2012). Trends, Surprises and Pre-Dredge Status at Packery Channel. Surfrider Foundation, Texas Coastal Bend Chapter. https://www.coastaldynamicslab.org/s/2012Packery-Surfrider-Foundation-Presentation.pdf

  • Williams, D. D., Kraus, N. C.  (2011).  “Seasonal Change in Nearshore and Channel Morphology at Packery Channel, A New Inlet Serving Corpus Christi, Texas.”  Journal of Coastal Research, Special Issue 59 (Spring 2011) pp. 86-97.

  • J. Kennedy & P. Tissot (2010). Coastal Bend Workshop on Streaming Atmospheric and Oceanographic Environmental Data. Report provided to participants of the August 27 workshop of the same name and the Texas General Land office, September 20, 2010.

    https://www.coastaldynamicslab.org/s/2010Coastal_Bend_Workshop.pdf

    Simoniello, C., Tissot, P., McKee, D., Adams, J., Ball, R., & Butler, R. (2010). A Cooperative Approach to Resource Management: Texas Game Fish Win. Marine Technology Society Journal, 44(5), 5–9. https://doi.org/10.4031/mtsj.44.5.5

    P.E. Tissot, Doug Martin and Lori Busch. (2010). Determining the Tidal or Non-Tidal Nature of Florida Keys Water Level Stations. Final report submitted to Cooner and Associates, Land O’Lakes, Florida and the Florida Department of Environmental Protection, Tallahassee, Florida. Report reviewed by the NOAA National Ocean Service Center for Operational Oceanographic Products and Services. The full report will be included in the surveying database LABINS or Land Boundary Information System, the on-line survey and maps information system for the state of Florida. The report will be used by land surveyors working in the Florida Keys. description

  • D. Williams (2008). Corpus Christi Beach (North Beach) Geology, Challenges, and Beach Nourishment. https://www.coastaldynamicslab.org/s/2008CC_Beach_Presentation.pdf

    Zimmer, G., Tissot, P., Sadovski, A., & Sterba-Boatwright, B. (2008). Monte Carlo Simulations and Factor Analysis to Optimize Neural Network Input Selections and Architectures. Intelligent Engineering Systems through Artificial Neural Networks Volume 18, 501–507. https://doi.org/10.1115/1.802823.paper63

  • Williams, D. D., Kraus, N. C., & Anderson, C. M. (2007). Morphologic Response to a New Inlet, Packery Channel, Corpus Christi, Texas. Coastal Sediments. https://doi.org/10.1061/40926(239)118

    Collins, Waylon & Tissot, Philippe. (2007). Use of an artificial neural network to forecast thunderstorm location. 87th AMS Annual Meeting.

    Collins, Waylon & Tissot, Philippe. (2007). Use of an artificial neural network to forecast thunderstorm location: performance enhancement attempts. 87th AMS Annual Meeting. https://ams.confex.com/ams/pdfpapers/132577.pdf

    P.E. Tissot and J. Rodriguez. (2007). Coastal Navigational Safety in Texas: A study of the causes of navigational accidents along the Texas coast with comparisons with Florida, and the United States. Final report submitted to the National Oceanic and Atmospheric Administration Environmental Cooperative Science Center.

    P.E. Tissot, R. Ball and J.S. Adams. (2007). Monitoring and Predictive Modeling of Water Temperatures in the Laguna Madre. Final report to Texas Parks & Wildlife and the Coastal Conservation Association, Texas A&M University Corpus Christi, Conrad Blucher Institute for Surveying and Science, Corpus Christi, Texas. (link).

  • Williams, D., Kraus, N., Kelly, F. J., Smith, A., & Anderson, C. (2005). Baseline and Construction Monitoring of Packery Channel, Corpus Christi, Texas. Florida Shore and Beach Preservation Association. https://www.fsbpa.com/05Proceedings/13-Deidre%20Williams.pdf

    Steidley, C., Sadovski, A., Tissot, P., Bachnak, R. & Bowles, Zack. (2005). Water Level Prediction with Artificial Neural Network Models.

    P. Tissot, Study of a Possible Link between Drowning and Near-Drowning Events and Surf Conditions in South Texas. (2005) Texas Sea Grant. https://www.conradblucherinstitute.org/s/2005-09-Drowning-and-Surf-Conditions-Report.pdf

    D. Williams, Monitoring, Analysis and Interpretation of the Post-Construction Evolution of a Restored Beach at TAMU-CC (2005) Texas General Land Office Coastal Management Program.

    https://www.coastaldynamicslab.org/s/200501UHBeachMonitoring_Final.pdf

    2005 Proceedings, National Conference on Beach Preservation Technology, Florida Shore and Beach Preservation Association, 16p.

  • Tissot, P., Cox, D., Alexei Sadovski, Michaud, P., & Duff, S. (2004). Performance and Comparison of Water Level Forecasting Models for the Texas Ports and Waterways. Ports 2022. https://doi.org/10.1061/40727(2004)129

  • Cox, D. T., Tissot, P., & Michaud, P. (2002). Water Level Observations and Short-Term Predictions Including Meteorological Events for Entrance of Galveston Bay, Texas. Journal of Waterway, Port, Coastal, and Ocean Engineering, 128(1), 21–29. https://doi.org/10.1061/(asce)0733-950x(2002)128:1(21)

    Tissot, P. E., Cox, D. T., & Michaud, P. (2002). Neural Network Forecasting of Storm Surges along the Gulf of Mexico. Ocean Wave Measurement and Analysis (2001), 1535–1544. https://doi.org/10.1061/40604(273)155

    Nam, Y. J., Cox, D. T., Tissot, P., & Michaud, P. (2002). Observations and Predictions of Tides and Storm Surges along the Gulf of Mexico. Ocean Wave Measurement and Analysis. https://doi.org/10.1061/40604(273)164

  • G. Guannel, Tissot, P., Cox, D. T., & Michaud, P. (2001). Local and Remote Forcing of Subtidal Water Level and Setup Fluctuations in Coastal and Estuarine Environments. Coastal Dynamics. https://doi.org/10.1061/40566(260)45