Raczynski, K., & Dyer, J. (2024). HOST: Harmonic Oscillator Seasonal-trend Model for Analyzing the Reoccurring Nature of Extreme Events. SoftwareX. 27, 101771. DOI:10.1016/j.softx.2024.101771. [Abstract] [Document Site]

Raczynski, K., & Dyer, J. (2024). Utilizing Waveform Synthesis in Harmonic Oscillator Seasonal Trend Model for Short- and Long-term Streamflow Drought Modeling and Forecasting. Journal of Hydroinformatics. 26(4), 800-818. DOI:https://doi.org/10.2166/hydro.2024.229. [Abstract] [Document Site]

Raczynski, K., & Dyer, J. (2023). Changes in Streamflow Drought and Flood Distribution Over Poland Using Trend Decomposition. Acta Geophysica. 2023, 22. DOI:10.1007/s11600-023-01188-0. [Abstract] [Document Site]

Raczynski, K., & Dyer, J. (2023). Quantifying Patterns of Streamflow Peaks over the Southeastern United States Using a Long-term Retrospective Data Set. Hydrological Processes. 37(8), e14960. DOI:10.1002/hyp.14960. [Abstract] [Document Site]

Raczynski, K., & Dyer, J. (2023). Harmonic Oscillator Seasonal Trend (HOST) Model for Hydrological Drought Pattern Identification and Analysis. Journal of Hydrology. 620(B), 129514. DOI:10.1016/j.jhydrol.2023.129514. [Abstract] [Document Site]

Raczynski, K., & Dyer, J. (2022). Variability of Annual and Monthly Streamflow Droughts over the Southeastern United States. Water. 14(23), 3848. DOI:10.3390/w14233848. [Abstract] [Document Site]

Raczynski, K., & Dyer, J. (2022). Development of an Objective Low Flow Identification Method Using Breakpoint Analysis. Water. 14(14), 2212. DOI:10.3390/w14142212. [Abstract] [Document Site]

Dyer, J., Mercer, A., & Raczynski, K. (2022). First_page Settings Order Article Reprints Open AccessArticle Identifying Spatial Patterns of Hydrologic Drought over the Southeast US Using Retrospective National Water Model Simulations. Water. 14(10), 1525. DOI:10.3390/w14101525. [Abstract] [Document Site]

Raczynski, K., & Dyer, J. (2020). Multi-annual and Seasonal Variability of Low-flow River Conditions in Southeastern Poland. Hydrological Sciences Journal. 65, 2561-2576. DOI:10.1080/02626667.2020.1826491. [Abstract] [Document Site]

Raczynski, K., & Dyer, J. (2020). Simulating Low Flows over a Heterogeneous Landscape in Southeastern Poland. Hydrological Processes. 35(8), e14322. DOI:10.1002/hyp.14322. [Abstract] [Document Site]

Omer, A. R., Dyer, J., Prince Czarnecki, J. M., Kroger, R., & Allen, P. J. (2018). Development of a Water Budget for Tailwater Recovery Systems. Journal of Irrigation and Drainage Engineering. 144(6), 05018001-1-0501. DOI:10.1061/ (ASCE)IR.1943-4774.0001302. [Abstract]

Prince Czarnecki, J. M., Omer, A. R., & Dyer, J. (2017). Quantifying Capture and Use of Tailwater Recovery Systems. Journal of Irrigation and Drainage Engineering. 143(1), 05016010-1-6. DOI:10.1061/(ASCE)IR.1943-4774.0001124.

Zarzar, C., Dyer, J., Dash, P., Moorhead, R. J., & Turnage, G. (2016). Understanding Coastal Changes Using High Resolution Imagery from Unmanned Aerial Systems. 2016 State of the Coast Conference. New Orleans, LA.

Zarzar, C., Dash, P., Moorhead, R. J., Dyer, J., & Turnage, G. (2016). Defining Surface Land Cover Features Using High Resolution Imagery from Unmanned Aerial Systems. 2016 Gulf of Mexico Oil Spill & Ecosystem Science Conference Proceedings. Tampa, FL: GOMRI. [Abstract]

Zarzar, C. M., Dash, P., Dyer, J., Turnage, G., & Moorhead, R. J. (2015). Application of Unmanned Aerial Systems (UAS) in Aquatic Plant Identification. Midsouth Aquatic Plant Society Meeting. Mobile, AL. [Abstract]

Van Horn, J. W., Dyer, J., Dash, P., Hathcock, L. A., & Moorhead, R. J. (2015). Potential of Unmanned Aerial Systems Imagery Relative to Landsat-8 Imagery. AAG Annual Meeting. Chicago, IL: AAG. [Abstract]

Zarzar, C., Dash, P., Dyer, J., Hathcock, L. A., & Moorhead, R. J. (2015). Development of Spectral-based Classification Schemes Using Unmanned Aerial System Imagery. AAG Annual Meeting. Chicago, IL: AAG. [Abstract]

Dyer, J., Wasson, L. L., & Moorhead, R. J. (2016). Boundary Layer Measurements Over Land Use/Cover Discontinuities Using a Small UAS. ASE-07/ATIO.ATM-09. Characterization of the Atmospheric Environment using UAS, AIAA Aviation and Aeronautics Forum and Exposition 2016. Washington, DC: AIAA. [Document]

Sanyal, J., Amburn, P., Zhang, Z., Dyer, J., Fitzpatrick, P. J., & Moorhead, R. J. (2008). User Experience of Hurricane Visualization in an Immersive 3D Environment. In G. Bebis, R. Boyle, B. Parvin, D. Koracin, D. Koracin, P. Remagnino, F. Porkli, J .Peters, J. Klosowski, L. Arns, Y. K. Chun, T.-M. Rhyne, L. Monroe (Eds.), Proceedings of the International Symposium on Visual Computing 2008. Advances in Visual Computing, Las Vegas, NV: Springer-Verlag. 5358, 867-878. DOI:10.1007/978-3-540-89639-5_83. [Abstract] [Document Site]

Anreddy, S., Zhang, S., Mercer, A., Dyer, J., & Swan II, J. E. (2015). Visual Scalability of Spatial Ensemble Uncertainty. Short Papers and Posters, Proceedings of IEEE VIS 2015. Chicago, Illinois, USA: IEEE. DOI:10.1109/VAST.2015.7347671.

Zarzar, C., Dyer, J., Dash, P., Moorhead, R. J., & Turnage, G. (2016). Defining Surface Land Cover Features Using High Resolution Unmanned Aerial System Imagery. 2016 Southeast Severe Storms Symposium. Starkville, MS.

Zarzar, C., Dash, P., Dyer, J., Turnage, G., & Moorhead, R. J. (2016). Defining Surface Land Cover Features Using High Resolution Imagery from Unmanned Aerial Systems. 96th AMS Annual Meeting. New Orleans, LA: AMS. [Abstract]

Dyer, J., Wasson, L. L., & Moorhead, R. J. (2016). Exploring the Use of Unmanned Aerial Systems for Local-Scale Boundary Layer Observations in a Coastal Environment. 96th AMS Annual Meeting. New Orleans, LA: AMS. [Abstract]