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Publications

Refereed Journal Articles

  1. Veillette, M. S., J. M. Kurdzo, P. M. Stepanian, J. Y. N. Cho, S. Samsi, J. McDonald, and N. Chisler, 2024: A benchmark dataset for tornado detection and prediction using full-resolution polarimetric weather radar data. Artificial Intelligence for the Earth Systems, submitted, https://doi.org/10.48550/arXiv.2401.16437.

  2. Rudlosky, S. D., J. Patton, E. Palagonia, J. Y. N. Cho, and J. M. Kurdzo, 2024: Radar outage costs and the value of alternate datasets. Weather and Forecasting, under revision.

  3. Kurdzo, J. M., B. J. Bennett, J. Y. N. Cho, and M. Donovan, 2023: Extended polarimetric observations of chaff using the WSR-88D weather radar network. IEEE Transactions on Radar Systems, 1, 181-192, https://doi.org/10.1109/TRS.2023.3288093.
     
  4. Veillette, M. S., J. M. Kurdzo, P. M. Stepanian, J. McDonald, S. Samsi, and J. Y. N. Cho, 2023: A deep learning-based velocity dealiasing algorithm derived from the WSR-88D open radar product generator. Artificial Intelligence for the Earth Systems, 2, e220084, https://doi.org/10.1175/AIES-D-22-0084.1.

  5. Palmer, R., D. Bodine, P. Kollias, D. Schvartzman, D. Zrnic, P. Kirstetter, G. Zhang, T.-Y. Yu, M. Kumjian, B. Cheong, S. Collis, S. Frasier, C. Fulton, K. Hondl, J. Kurdzo, T. Ushio, A. Rowe, J. Salazar-Cerreno, S. Torres, M. Weber, and M. Yeary, 2022: A primer on phased array radar technology for the atmospheric sciences. Bulletin of the American Meteorological Society, 103 (10), E2391-E2416, https://doi.org/10.1175/BAMS-D-21-0172.1.

  6. Kollias, P., R. Palmer, D. Bodine, T. Adachi, H. Bluestein, J. Y. N. Cho, C. Griffin, J. Houser, P. E. Kirstetter, M. R. Kumjian, J. M. Kurdzo, W. C. Lee, E. P. Luke, S. Nesbitt, M. Oue, A. Shapiro, A. Rowe, J. Salazar, R. Tanamachi, K. S. Tuftedal, X. Wang, and D. Zrnic, 2022: Science applications of phased array radars. Bulletin of the American Meteorological Society, 103 (10), E2370-E2390, https://doi.org/10.1175/BAMS-D-21-0173.1.

  7. Cho, J. Y. N., J. M. Kurdzo, B. J. Bennett, M. E. Weber, J. W. Dellicarpini, A. Loconto, and H. Frank, 2022: Impact of WSR-88D intra-volume low-level scans on severe weather warning performance. Weather and Forecasting, 37 (7), 1169-1189, https://doi.org/10.1175/WAF-D-21-0152.1.

  8. Weber, M. E., K. Hondl, N. Yussouf, Y. Jung, D. Stratman, B. Putnam, X. Wang, T. Schuur, C. Kuster, Y. Wen, J. Sun, J. Keeler, Z. Ying, J. Cho, J. Kurdzo, S. Torres, C. Curtis, D. Schvartzman, J. Boettcher, F. Nai, H. Thomas, D. Zrnic, I. Ivic, D. Mirkovic, C. Fulton, J. Salazar, G. Zhang, R. Palmer, M. Yeary, K. Cooley, M. Istok, and M. Vincent, 2021: Towards the next generation operational meteorological radar. Bulletin of the American Meteorological Society, 102 (7), E1357-E1383, https://doi.org/10.1175/BAMS-D-20-0067.1.

  9. Wienhoff, Z. B., H. B. Bluestein, D. W. Reif, R. M. Wakimoto, L. J. Wicker, and J. M. Kurdzo, 2020: Analysis of debris signature characteristics and evolution in the 24 May 2016 Dodge City, Kansas, Tornadoes. Monthly Weather Review, 148 (12), 5063-5086, https://doi.org/10.1175/MWR-D-20-0162.1.
     
  10. Kurdzo, J. M., E. F. Joback, P.-E. Kirstetter, and J. Y. N. Cho, 2020: Geospatial QPE accuracy dependence on weather radar network configurations. Journal of Applied Meteorology and Climatology, 59 (11), 1773-1792, https://doi.org/10.1175/JAMC-D-19-0164.1.
     
  11. Cho, J. Y. N. and J. M. Kurdzo, 2020: Weather radar network benefit model for nontornadic thunderstorm wind casualty cost reduction. Weather, Climate and Society, 12 (4), 789-804, https://doi.org/10.1175/WCAS-D-20-0063.1.
     
  12. Kurdzo, J. M., B. J. Bennett, D. J. Smalley, and M. F. Donovan, 2020: The WSR-88D inanimate hydrometeor class. Journal of Applied Meteorology and Climatology, 59 (5), 841-858, https://doi.org/10.1175/JAMC-D-19-0271.1.
     
  13. Wakimoto, R. M., Z. Wienhoff, H. B. Bluestein, D. J. Bodine, and J. M. Kurdzo, 2020: Mobile radar observations of the evolving debris field compared with a damage survey of the Shawnee, Oklahoma tornado of 19 May 2013. Monthly Weather Review, 148 (5), 1779-1803, https://doi.org/10.1175/MWR-D-19-0215.1.
     
  14. Cho, J. Y. N. and J. M. Kurdzo, 2020: Weather radar network benefit model for flash flood casualty reduction. Journal of Applied Meteorology and Climatology, 59 (4), 589-604, https://doi.org/10.1175/JAMC-D-19-0176.1.
     
  15. Cho, J. Y. N. and J. M. Kurdzo, 2019: Weather radar network benefit model for tornadoes. Journal of Applied Meteorology and Climatology, 58 (5), 971-987, https://doi.org/10.1175/JAMC-D-18-0205.1.
     
  16. Griffin, C. B., D. J. Bodine, J. M. Kurdzo, A. Mahre, and R. D. Palmer, 2019: High-temporal resolution observations of the 27 May 2015 Canadian, Texas, tornado using the atmospheric imaging radar. Monthly Weather Review, 147 (3), 873-891, https://doi.org/10.1175/MWR-D-18-0297.1.
     
  17. Mahre, A., J. M. Kurdzo, D. J. Bodine, C. B. Griffin, R. D. Palmer, and T.-Y. Yu, 2018: Analysis of the 16 May 2015 Tipton, Oklahoma, EF-3 tornado at high spatiotemporal resolution using the atmospheric imaging radar. Monthly Weather Review, 146 (7), 2103-2124, https://doi.org/10.1175/MWR-D-17-0256.1.
     
  18. Kurdzo, J. M., E. R. Williams, D. J. Smalley, B. J. Bennett, D. C. Patterson, M. S. Veillette, and M. F. Donovan, 2018: Polarimetric observations of chaff using the WSR-88D network. Journal of Applied Meteorology and Climatology, 57 (5), 1063-1081, https://doi.org/10.1175/JAMC-D-17-0191.1.
     
  19. Kurdzo, J. M., F. Nai, D. J. Bodine, T. A. Bonin, B. Isom, R. D. Palmer, B. L. Cheong, J. Lujan, A. Mahre, and A. D. Byrd, 2017: Observations of severe local storms and tornadoes with the atmospheric imaging radar. Bulletin of the American Meteorological Society, 98 (5), 915-935, https://doi.org/10.1175/BAMS-D-15-00266.1.
     
  20. Mahre, A., T.-Y. Yu, R. D. Palmer, and J. M. Kurdzo, 2017: Observations of a cold front at high spatiotemporal resolution using an X-band phased array imaging radar. Atmosphere, 8 (2), 30, https://doi.org/10.3390/atmos8020030.
     
  21. Kurdzo, J. M., D. J. Bodine, B. L. Cheong, and R. D. Palmer, 2015: High-temporal resolution polarimetric X-band Doppler radar observations of the 20 May 2013 Moore, Oklahoma tornado. Monthly Weather Review, 143 (7), 2711-2735, https://doi.org/10.1175/MWR-D-14-00357.1.
     
  22. Kurdzo, J. M., B. L. Cheong, R. D. Palmer, G. Zhang, and J. B. Meier, 2014: A pulse compression waveform for improved-sensitivity weather radar observations. Journal of Atmospheric and Oceanic Technology, 31 (12), 2713-2731, https://doi.org/10.1175/JTECH-D-13-00021.1.
     
  23. Yeary, M., B. L. Cheong, J. M. Kurdzo, T.-Y. Yu, and R. D. Palmer, 2014: A brief overview of weather radar technologies and instrumentation. IEEE Instrumentation and Measurement Magazine, 17 (5), 10-15, https://doi.org/10.1109/MIM.2014.6912194.
     
  24. Kurdzo, J. M. and R. D. Palmer, 2012: Objective optimization of weather radar networks for low-level coverage using a genetic algorithm.  Journal of Atmospheric and Oceanic Technology, 29 (6), 807-821, https://doi.org/10.1175/JTECH-D-11-00076.1.
     
  25. Zhang, S.-R., J. M. Holt, and J. Kurdzo, 2011: Millstone Hill ISR observations of upper atmospheric long-term changes: Height dependency. Journal of Geophysical Research, 116 (A2), A00H05, https://doi.org/10.1029/2010JA016414.

Refereed Conference Papers

  1. Kurdzo, J. M., M. F. Donovan, J. Y. N. Cho, and B. J. Bennett, 2024: Impact of WSR-88D MESO-SAILS usage on MRMS-based quantitative precipitation estimation. Proc. 2024 IEEE Radar Conference, Denver, CO, USA, accepted.
     
  2. McDonald, J., J. M. Kurdzo, P. M. Stepanian, M. Veillette, D. Bestor, M. Jones, V. Gadepally, and S. Samsi, 2022: Performance estimation for efficient image segmentation training of weather radar algorithms. Proc. 2022 IEEE High Performance Extreme Computing Conference, Virtual, https://doi.org/10.1109/HPEC55821.2022.9926400.
     
  3. Bodine, D. J., J. M. Kurdzo, C. B. Griffin, R. D. Palmer, B. Isom, F. Nai, A. Mahre, M. Yeary, and T.-Y. Yu, 2022: Overview of a decade of field experiments with the atmosperic imaging radar.  Proc. 2022 IEEE Radar Conference, New York, NY, USA, https://doi.org/10.1109/RadarConf2248738.2022.9764270.
     
  4. Salazar, J. L., T.-Y. Yu, M. McCord, J. Diaz, J. Ortiz, C. Fulton, M. Yeary, R. Palmer, B.-L. Cheong, H. Bluestein, J. M. Kurdzo, and B. Isom, 2019: An ultra-fast scan C-band polarimetric atmospheric imaging radar (PAIR).  Proc. 2019 IEEE International Symposium on Phased Array Systems and Technology, Waltham, MA, USA, https://doi.org/10.1109/PAST43306.2019.9021042.
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  5. Kurdzo, J. M., J. Y. N. Cho, B. L. Cheong, and R. D. Palmer, 2019: A neural network approach for waveform generation and selection with multi-mission radar.  Proc. 2019 IEEE Radar Conference, Boston, MA, USA, https://doi.org/10.1109/RADAR.2019.8835803.
     
  6. Kurdzo, J. M., E. F. Clemons, J. Y. N. Cho, P. L. Heinselman, and N. Yussouf, 2018: Quantification of radar QPE performance based on SENSR network design possibilities. Proc. 2018 IEEE Radar Conference, Oklahoma City, OK, USA, https://doi.org/10.1109/RADAR.2018.8378551.
     
  7. Kurdzo, J. M., R. D. Palmer, B. L. Cheong, and M. E. Weber, 2015: Adaptive waveform design for multi-sector array isolation. European Radar Conference, Paris, France, https://doi.org/10.1109/EuRAD.2015.7346245.
     
  8. Kurdzo, J. M., R. D. Palmer, F. Nai, D. J. Bodine, and B. L. Cheong, 2015: Meteorological data results from the atmospheric imaging radar. Proc. 2015 IEEE International Radar Conference, Arlington, VA, USA, https://doi.org/10.1109/RADAR.2015.7131105.
     
  9. Kurdzo, J. M., B. L. Cheong, R. D. Palmer, and G. Zhang, 2014: Optimized NLFM pulse compression waveforms for high-sensitivity radar observations. International Radar Conference 2014, Lille, France, 349, https://doi.org/10.1109/RADAR.2014.7060249.
     
  10. Kurdzo, J. M., and R. D. Palmer, 2011: On the use of genetic algorithms for optimization of a multi-band, multi-mission radar network. Proc. 2011 IEEE Radar Conference, Kansas City, MO, USA, https://doi.org/10.1109/RADAR.2011.5960534.

Book Chapters

  1. M. E. Weber, J. Y. N. Cho, H. G. Thomas, and J. M. Kurdzo, 2023: An Integrated Future U.S. Weather Radar Architecture for Aviation. In Bringi, Mishra, and Thurai (Ed.), Advances in Weather Radar. Volume 1: Precipitation Sensing Platforms. IET Radar, Sonar and Navigation, IET Digital Library, https://doi.org/10.1049/SBRA557F_ch10.
     
  2. Bodine, D. J. and J. M. Kurdzo, 2018: Ground-based Radar Technologies for Tornado Observations. In C. Andronache (Ed.), Remote Sensing of Clouds and Precipitation. Springer Remote Sensing/Photogrammetry. Springer, Cham., https://doi.org/10.1007/978-3-319-72583-3_3.

Project Reports and Memos

  1. Williams, E. R., M. F. Donovan, D. J. Smalley, J. M. Kurdzo, and B. J. Bennett, 2020: The 2017 Buffalo Area Icing and Radar Study (BAIRS II). MIT Lincoln Laboratory Project Report, ATC-447, 210 pp. (PDF)
     
  2. Kurdzo, J. M., and J. Y. N. Cho, 2020: National Weather Service TDWR Surveys for Tornado and Severe Thunderstorm Warning Guidance. MIT Lincoln Laboratory Memo, 43PM-Wx-0191, 24 pp. (PDF)
     
  3. Cho, J. Y. N. and J. M. Kurdzo, 2019: Monetized Weather Radar Network Benefits for Tornado Cost Reduction. MIT Lincoln Laboratory Project Report, NOAA-35, 74 pp. (PDF)

Grants and Awards

  1. Kurdzo, J. M., M. Istok, B. J. Bennett, and T. Clark, 2021: Development and Deployment of a Sea Clutter Class within the Operational WSR-88D Hydrometeor Classification Algorithm. National Oceanic and Atmospheric Administration, $413,346, 9/1/2021-8/31/2023.
     
  2. Yu, T., J. Salazar, C. Fulton, H. Bluestein, R. D. Palmer, B. L. Cheong, M. Biggerstaff, B. Isom, J. M. Kurdzo, R. J. Doviak, X. Wang, and M. Yeary, 2015: MRI: Development of C-band Mobile Polarimetric Imaging Radar. National Science Foundation, $3,163,677, 8/1/2015-7/31/2020.

Intellectual Property and Patents

  1. Kurdzo, J. M., B. L. Cheong, R. D. Palmer, and G. Zhang, 2012: Optimized Pulse Compression Waveforms for High-Sensitivity Radar Observations. OU Intellectual Property Disclosure.

Non-Refereed Papers, Reports, and Datasets

  1. Cheong, B. L., J. M. Kurdzo, and D.J. Bodine, 2015: PX-1000 PECAN Dataset. The Plains Elevated Convection at Night Field Project, July 2015, https://doi.org/10.5065/D6X928GR.
     
  2. R. Palmer and J. Kurdzo, 2015: The future of weather radar technology. Meteorological Technology International, August 2015, 14-18.

Conference Presentations

  1. Kurdzo, J. M., F. Nai, S. M. Torres, and C. D. Curtis, 2024: Adaptive beamforming for weather observations using a constrained Capon method and the advanced technology demonstrator at NSSL. 40th Conference on Environmental Information Processing Technologies, Baltimore, MD, USA, Amer. Meteor. Soc., accepted.
     
  2. Kurdzo, J. M., B. J. Bennett, and M. F. Donovan, 2024: Incorporating smoke into the sea clutter and chaff classes for an enhanced WSR-88D hydrometeor classification algorithm. 40th Conference on Environmental Information Processing Technologies, Baltimore, MD, USA, Amer. Meteor. Soc., accepted.
     
  3. M. S. Veillette, J. M. Kurdzo, S. Samsi, P. M. Stepanian, J. McDonald, and J. Y. N. Cho, 2024: Tornado detection using deep neural networks and full-resolution polarimetric weather radar data.  23rd Conference on Artificial Intelligence for Environmental Science, Baltimore, MD, USA, Amer. Meteor. Soc., accepted.
     
  4. Kurdzo, J. M., M. S. Veillette, S. Samsi, P. M. Stepanian, J. McDonald, and J. Y. N. Cho, 2023: A tornado detection algorithm using deep neural networks, full-resolution polarimetric weather radar data, and explainable AI. 40th Conference on Radar Meteorology, Minneapolis, MN, USA, Amer. Meteor. Soc.
     
  5. Kurdzo, J. M., B. J. Bennett, M. F. Donovan, A. L. Millard, M. Istok, and T. Clark, 2023: A performance evaluation of sea clutter and chaff classes for the WSR-88D hydrometeor classification algorithm. 40th Conference on Radar Meteorology, Minneapolis, MN, USA, Amer. Meteor. Soc.
     
  6. Kurdzo, J. M., M. F. Donovan, J. Y. N. Cho, and B. J. Bennett, 2023: Impact of WSR-88D MESO-SAILS usage on MRMS-based quantitative precipitation estimation accuracy. 40th Conference on Radar Meteorology, Minneapolis, MN, USA, Amer. Meteor. Soc.
     
  7. Nai, F., J. M. Kurdzo, S. M. Torres, and C. D. Curtis, 2023: Novel adaptive beamforming technique for weather observations using the advanced technology demonstrator at NSSL. 40th Conference on Radar Meteorology, Minneapolis, MN, USA, Amer. Meteor. Soc.
     
  8. Cho, J. Y. N., J. M. Kurdzo, B. J. Bennett, and A. Anderson-Frey, 2023: Impact of WSR-88D intra-volume low-level scans on tornado warning performance parsed by storm type. 40th Conference on Radar Meteorology, Minneapolis, MN, USA, Amer. Meteor. Soc.
     
  9. Kurdzo, J. M., B. J. Bennett, M. F. Donovan, and A. L. Millard, 2023: Development and performance of a sea clutter class for the WSR-88D Hydrometeor Classification Algorithm using support vector machines. 39th Conference on Environmental Information Processing Technologies, Denver, CO, USA, Amer. Meteor. Soc.
     
  10. Millard, A. L., J. M. Kurdzo, B. J. Bennett, and M. F. Donovan, 2023: A dual-polarimetric statistical analysis of sea clutter using a large database of human-truthed cases from the WSR-88D network. 39th Conference on Environmental Information Processing Technologies, Denver, CO, USA, Amer. Meteor. Soc.
     
  11. Veillette, M. S., J. M. Kurdzo, P. M. Stepanian, J. McDonald, and S. Samsi, 2023: Replicating the WSR-88D Level-III dealiasing algorithm with a deep convolutional neural network. 22nd Conference on Artificial Intelligence for Environmental Science, Denver, CO, USA, Amer. Meteor. Soc.
     
  12. Kurdzo, J. M., M. S. Veillette, and R. Haskar, 2022: The next evolution of the Storm EVent ImageRy (SEVIR) dataset for deep learning applications in meteorology. 21st Conference on Artificial Intelligence for Environmental Science, Houston, TX, USA, Amer. Meteor. Soc.
     
  13. Kurdzo, J. M., J. Y. N. Cho, B. J. Bennett, and M. E. Weber, 2022: Impact of WSR-88D SAILS usage on MRMS quantitative precipitation estimation accuracy. 38th Conference on Environmental Information Processing Technologies, Houston, TX, USA, Amer. Meteor. Soc.
     
  14. Cho, J. Y. N., J. M. Kurdzo, B. J. Bennett, M. E. Weber, J. W. Dellicarpini, A. Loconto, and H. Frank, 2022: WSR-88D SAILS impacts on severe weather warning performance. 38th Conference on Environmental Information Processing Technologies, Houston, TX, USA, Amer. Meteor. Soc.
     
  15. Weber, M., H. Thomas, J. Cho, and J. Kurdzo, 2022: Analysis of requirements for the future national operational weather radar: phased array alternative. 38th Conference on Environmental Information Processing Technologies, Houston, TX, USA, Amer. Meteor. Soc.
     
  16. Kurdzo, J. M., J. Y. N. Cho, and B. J. Bennett, 2021: Impact of WSR-88D SAILS usage on quantitative precipitation estimation accuracy. 37th Conference on Environmental Information Processing Technologies, New Orleans, LA, USA, Amer. Meteor. Soc.
     
  17. J. Y. N. Cho, J. M. Kurdzo, and B. J. Bennett, 2021: Impact of WSR-88D SAILS usage on NWS severe weather warning performance. 37th Conference on Environmental Information Processing Technologies, New Orleans, LA, USA, Amer. Meteor. Soc.
     
  18. J. Y. N. Cho and J. M. Kurdzo, 2021: How much are weather radars worth? A geospatial econometric benefit analysis. 16th Symposium on Societal Applications: Policy, Research and Practice, New Orleans, LA, USA, Amer. Meteor. Soc.
     
  19. Kurdzo, J. M., J. Y. N. Cho, B. L. Cheong, and R. D. Palmer, 2020: NLFM radar waveform generation using a neural network approach to rapidly predict Bezier curve shape. 36th Conference on Environmental Information Processing Technologies, Boston, MA, USA, Amer. Meteor. Soc.
     
  20. Kurdzo, J. M., Y. Wen, C. M. Kuster, J. Y. N. Cho, and T. J. Schuur, 2020: Investigating the impact of radar observation height on streamflow modeling: The 31 May 2013 El Reno/Oklahoma City, OK flash flood case. 36th Conference on Environmental Information Processing Technologies, Boston, MA, USA, Amer. Meteor. Soc.
     
  21. Kurdzo, J. M., B. J. Bennett, D. J. Smalley, M. F. Donovan, and E. R. Williams, 2020: The WSR-88D chaff detection algorithm utilizing a support vector machine based on human truthing. 19th Conference on Artificial Intelligence for Environmental Science, Boston, MA, USA, Amer. Meteor. Soc.
     
  22. Cho, J. Y. N. and J. M. Kurdzo, 2020: Estimating the value of weather radars in reducing flash flood casualties. 36th Conference on Environmental Information Processing Technologies, Boston, MA, USA, Amer. Meteor. Soc.
     
  23. Wang, E. Y., D. J. Bodine, J. M. Kurdzo, J. Barham, C. Bowman, and P. Pietrycha, 2020: Polarimetric characteristics of tornadic debris fallout during the 28 May 2019 Lawrence/Kansas City, KS tornado. Severe Local Storms Symposium, Boston, MA, USA, Amer. Meteor. Soc. (PDF)
     
  24. Smalley, D. J., M. F. Donovan, E. R. Williams, B. J. Bennett, J. M. Kurdzo, and R. F. Ferris, 2020: NEXRAD dual polarimetric hazard products for aviation. 20th Conference on Aviation, Range, and Aerospace Meteorology, Boston, MA, USA, Amer. Meteor. Soc.
     
  25. Donovan, M. F., D. J. Smalley, E. R. Williams, J. M. Kurdzo, and B. J. Bennett, 2020: Comparison of aircraft observations to assess cloud phase conditions during the BAIRS II campaign. 20th Conference on Aviation, Range, and Aerospace Meteorology, Boston, MA, USA, Amer. Meteor. Soc.
     
  26. Pittman, K., A. Mahre, C. Griffin, D. Bodine, J. Kurdzo, and V. Gensini, 2020: Analysis of tornadogenesis failure using rapid-scan data from the atmospheric imaging radar. Severe Local Storms Symposium, Boston, MA, USA, Amer. Meteor. Soc.
     
  27. Wen, Y. B., J. Kurdzo, T. J. Schuur, and C. Kuster, 2019: Advancing flash flood early warnings using a proxy of polarimetric PAR observations. AGU Fall Meeting 2019, San Francisco, CA, USA, Amer. Geo. Union.
     
  28. Griffin, C. B., D. J. Bodine, A. Mahre, J. Lujan, J. M. Kurdzo, and R. D. Palmer, 2019: High-temporal resolution observations of tornadogenesis using the atmospheric imaging radar. 39th International Conference on Radar Meteorology, Nara, Japan, Amer. Meteor. Soc.
     
  29. Wen, Y. B., T. Schuur, H. Vergara, C. Kuster, and J. M. Kurdzo, 2019: Advancing flash flooding early warning using rapid-scan polarimetric radar observations. 39th International Conference on Radar Meteorology, Nara, Japan, Amer. Meteor. Soc.
     
  30. Kurdzo, J. M., E. F. Clemons, J. Y. N. Cho, and G. R. McGillick, 2019: QPE performance benefits for candidate SENSR network designs. 35th Conference on Environmental Information Processing Technologies, Phoenix, AZ, USA, Amer. Meteor. Soc.
     
  31. Cho, J. Y. N. and J. M. Kurdzo, 2019: Tornado-related benefit modeling for weather radar networks. 35th Conference on Environmental Information Processing Technologies, Phoenix, AZ, USA, Amer. Meteor. Soc.
     
  32. Bodine, D. J., J. M. Kurdzo, C. B. Griffin, A. Mahre, J. Lujan, R. D. Palmer, T.-Y. Yu, and B. M. Isom, 2019: Overview of the atmospheric imaging radar and seven years of phased array radar field experiments. Phased Array Radar Symposium, Phoenix, AZ, USA, Amer. Meteor. Soc.
     
  33. Mahre, A., C. B. Griffin, D. J. Bodine, J. M. Kurdzo, R. D. Palmer, and T.-Y. Yu, 2019: Using the atmospheric imaging radar to study vortex dynamics and debris processes. Phased Array Radar Symposium, Phoenix, AZ, USA, Amer. Meteor. Soc.
     
  34. Griffin, C. B., D. J. Bodine, A. Mahre, J. Lujan, J. M. Kurdzo, and R. D. Palmer, 2019: High-temporal resolution observations of tornadogenesis and tornado decay using the atmospheric imaging radar. Phased Array Radar Symposium, Phoenix, AZ, USA, Amer. Meteor. Soc.
     
  35. Kurdzo, J. M., E. F. Clemons, and J. Y. N. Cho, 2018: Modeling radar quantitative precipitation estimation performance based on SENSR network design. ISR Systems and Technology Workshop, Lexington, MA, USA, MIT Lincoln Laboratory.
     
  36. Williams, E., D. Smalley, M. Donovan, J. Kurdzo, A. Korolev, and M. Wolde, 2018: Stacked layers of dendrites and needles linked with supercooled cloud water in winter storms. 15th Conference on Cloud Physics, Vancouver, Canada, Amer. Meteor. Soc.
     
  37. Kurdzo, J. M., J. Y. N. Cho, and E. F. Clemons, 2018: Modeling radar QPE performance based on SENSR network design possibilities. 34th Conference on Environmental Information Processing Technologies, Austin, TX, USA, Amer. Meteor. Soc.
     
  38. Kurdzo, J. M., B. J. Bennett, D. J. Smalley, E. R. Williams, and M. F. Donovan, 2018: A new inanimate class for the WSR-88D hydrometeor classification algorithm. 34th Conference on Environmental Information Processing Technologies, Austin, TX, USA, Amer. Meteor. Soc.
     
  39. Bodine, D. J., J. M. Kurdzo, B. L. Cheong, and K. L. Rasmussen, 2018: PX-1000 observations of mesoscale convective systems during PECAN.  Special Symposium on Plains Elevated Convection at Night (PECAN), Austin, TX, USA, Amer. Meteor. Soc.
     
  40. Mahre, A., J. M. Kurdzo, D. J. Bodine, C. B. Griffin, R. D. Palmer, and T.-Y. Yu, 2018: Analysis of the 16 May 2015 Tipton, Oklahoma EF-3 tornado at high spatiotemporal resolution using the atmospheric imaging radar. 34th Conference on Environmental Information Processing Technologies, Austin, TX, USA, Amer. Meteor. Soc.
     
  41. Griffin, C. B., D. J. Bodine, J. M. Kurdzo, and R. D. Palmer, 2018: High-temporal resolution observations of the 27 May 2015 Canadian, Texas, tornado using the atmospheric imaging radar.  34th Conference on Environmental Information Processing Technologies, Austin, TX, USA, Amer. Meteor. Soc.
     
  42. Griffin, C. B., D. J. Bodine, J. Lujan, A. Mahre, J. M. Kurdzo, and R. D. Palmer, 2018: High-temporal resolution observations from the 2017 atmospheric imaging radar field campaign.  34th Conference on Environmental Information Processing Technologies, Austin, TX, USA, Amer. Meteor. Soc.
     
  43. Kurdzo, J. M., E. R. Williams, D. J. Smalley, B. J. Bennett, D. C. Patterson, M. S. Veillette, and M. F. Donovan, 2017: The polarimetric characteristics of chaff using the WSR-88D network.  38th Conference on Radar Meteorology, Chicago, IL, USA, Amer. Meteor. Soc.
     
  44. Kurdzo, J. M., M. S. Veillette, B. J. Bennett, D. J. Smalley, E. R. Williams, and M. F. Donovan, 2017: Development of a new inanimate class for the WSR-88D hydrometeor classification algorithm.  38th Conference on Radar Meteorology, Chicago, IL, USA, Amer. Meteor. Soc. (PDF)
     
  45. Williams, E. R., D. J. Smalley, M. F. Donovan, J. M. Kurdzo, and B. J. Bennett, 2017: In situ verification of aircraft clear icing conditions involving drizzle and supercooled raindrops in winter storms.  38th Conference on Radar Meteorology, Chicago, IL, USA, Amer. Meteor. Soc.
     
  46. Williams, E. R., J. M. Kurdzo, D. C. Patterson, D. J. Smalley, and M. F. Donovan, 2017: Electric field orientation of radar chaff: Implications for dual-polarimetric radar observations.  38th Conference on Radar Meteorology, Chicago, IL, USA, Amer. Meteor. Soc.
     
  47. Smalley, D. J., M. F. Donovan, E. R. Williams, J. M. Kurdzo, and B. J. Bennett, 2017: BAIRS II: The second Buffalo area icing and radar study.  38th Conference on Radar Meteorology, Chicago, IL, USA, Amer. Meteor. Soc.
     
  48. Weber, M., C. Curtis, I. Ivic, F. Nai, T. Schuur, S. Torres, D. Wasielewski, N. Yussof, A. Zahari, P. Heinselman, K. Hondl, L. Wicker, D. Zrnic, C. Fulton, R. Palmer, J. Salazar, G. Zhang, Y. Zhang, Y. Jung, M. Xue, X. Wang, J. Cho, D. Conway, J. Kurdzo, H. Thomas, and T. Wallace, 2017: Assessing the weather observation capabilities of a spectrum efficient national surveillance radar (SENSR).  38th Conference on Radar Meteorology, Chicago, IL, USA, Amer. Meteor. Soc.
     
  49. Mahre, A., J. M. Kurdzo, D. J. Bodine, C. B. Griffin, R. D. Palmer, and T.-Y. Yu, 2017: Analysis of the 16 May 2015 Tipton, Oklahoma EF-3 tornado at high spatiotemporal resolution using the atmospheric imaging radar.  38th Conference on Radar Meteorology, Chicago, IL, USA, Amer. Meteor. Soc.
     
  50. Bodine, D. J., J. M. Kurdzo, B. L. Cheong, and K. L. Rasmussen, 2017: PX-1000 observations of mesoscale convective systems during PECAN.  38th Conference on Radar Meteorology, Chicago, IL, USA, Amer. Meteor. Soc.
     
  51. Griffin, C. B., D. J. Bodine, J. M. Kurdzo, A. Mahre, R. D. Palmer, J. Lujan, and A. D. Byrd, 2017: High-temporal resolution observations of the 27 May 2015 Canadian, Texas, tornado using the atmospheric imaging radar.  38th Conference on Radar Meteorology, Chicago, IL, USA, Amer. Meteor. Soc.
     
  52. Salazar, J. L., T.-Y. Yu, C. Fulton, M. McCord, R. D. Palmer, H. Bluestein, B. L. Cheong, M. Biggerstaff, B. Isom, J. M. Kurdzo, R. J. Doviak, X. Wang, and M. Yeary, 2017: Development of a mobile C-band polarimetric atmospheric imaging radar (PAIR).  38th Conference on Radar Meteorology, Chicago, IL, USA, Amer. Meteor. Soc.
     
  53. Kurdzo, J. M., B. J. Bennett, M. S. Veillette, D. J. Smalley, E. R. Williams, and M. F. Donovan, 2017: WSR-88D chaff detection and characterization using an optimized hydrometeor classification algorithm. 18th Conference on Aviation, Range, and Aerospace Meteorology, Seattle, WA, USA, Amer. Meteor. Soc.(PDF)
     
  54. Kurdzo, J. M., D. J. Bodine, A. Mahre, C. B. Griffin, and R. D. Palmer, 2017: Filling the vertical gap in severe local storms research: New opportunities using vertically continuous radar imaging. Special Symposium on Severe Local Storms: Observation Needs to Advance Research, Prediction, and Communication, Seattle, WA, USA, Amer. Meteor. Soc.
     
  55. Salazar, J. L., T.-Y. Yu, C. Fulton, M. McCord, R. D. Palmer, H. Bluestein, B. L. Cheong, M. Biggerstaff, B. Isom, J. M. Kurdzo, R. J. Doviak, X. Wang, and M. Yeary, 2017: Development of a mobile C-band polarimetric atmospheric imaging radar (PAIR). AMS Annual Meeting, Seattle, WA, USA, Amer. Meteor. Soc.
     
  56. Griffin, C. B., D. J. Bodine, J. M. Kurdzo, A. Mahre, R. D. Palmer, J. Lujan, and A. D. Byrd, 2017: High-temporal resolution observations of severe convective storms using the atmospheric imaging radar. Special Symposium on Severe Local Storms: Observation Needs to Advance Research, Prediction, and Communication, Seattle, WA, USA, Amer. Meteor. Soc.
     
  57. Mahre, A., T.-Y. Yu, R. D. Palmer, and J. M. Kurdzo, 2017: Observations of a cold front at high spatiotemporal resolution using imaging radar. 33rd Conference on Environmental Information Processing Technologies, Seattle, WA, USA, Amer. Meteor. Soc.
     
  58. Griffin, C. B., D. J. Bodine, J. M. Kurdzo, A. Mahre, R. D. Palmer, J. Lujan, and A. D. Byrd, 2016: High-temporal resolution observations of the 23 May 2016 Woodward, Oklahoma tornadic supercell using the atmospheric imaging radar. 28th Conference on Severe Local Storms, Portland, OR, USA, Amer. Meteor. Soc.
     
  59. Bodine, D. J., J. M. Kurdzo, C. B. Griffin, and R. D. Palmer, 2016: High-temporal resolution observations of the 27 May 2015 Canadian, Texas tornado using the atmospheric imaging radar. 28th Conference on Severe Local Storms, Portland, OR, USA, Amer. Meteor. Soc.
     
  60. Kurdzo, J. M., D. J. Bodine, and R. D. Palmer, 2016: X-band radar observations of the 16 May 2015 Tipton, Oklahoma EF3 tornado using the atmospheric imaging radar. 28th Conference on Severe Local Storms, Portland, OR, USA, Amer. Meteor. Soc.
     
  61. Kurdzo, J. M., F. Nai, D. J. Bodine, R. D. Palmer, B. L. Cheong, J. Lujan, A. Mahre, and A. D. Byrd, 2016: High-resolution X-band observations of spring 2015 tornadoes with the atmospheric imaging radar. 32nd Conference on Environmental Information Processing Technologies, New Orleans, LA, USA, Amer. Meteor. Soc.
     
  62. Mahre, A., R. D. Palmer, T. Yu, and J. M. Kurdzo, 2016: A study of high temporal and spatial resolution RHIs through outflow boundaries and squall lines using the atmospheric imaging radar. 32nd Conference on Environmental Information Processing Technologies, New Orleans, LA, USA, Amer. Meteor. Soc.
     
  63. Kurdzo, J. M., F. Nai, D. J. Bodine, R. D. Palmer, B. L. Cheong, J. Lujan, A. Mahre, and A. D. Byrd, 2015: High temporal and spatial resolution X-band observations of tornadoes with the atmospheric imaging radar. 4th International Symposium on Earth-Science Challenges (ISEC), Norman, OK, USA.
     
  64. Kurdzo, J. M., R. D. Palmer, D. J. Bodine, F. Nai, and B. L. Cheong, 2015: Observations of severe local storms and tornadoes with the atmospheric imaging radar. 37th Conference on Radar Meteorology, Norman, OK, USA, Amer. Meteor. Soc.
     
  65. Kurdzo, J. M., R. D. Palmer, B. L. Cheong, and M. E. Weber, 2015: Multi-waveform design for enhanced phased array isolation. 37th Conference on Radar Meteorology, Norman, OK, USA, Amer. Meteor. Soc.
     
  66. Kurdzo, J. M., B. L. Cheong, and R. D. Palmer, 2015: Weather observations using pulse compression waveforms. 36th Progress in Electromagnetics Research Symposium (PIERS), Prague, Czech Republic.
     
  67. Kurdzo, J. M., R. D. Palmer, B. L. Cheong, R. Kelley, and C. Fulton, 2015: Adaptive waveform design applications for a multi-sector MPAR. 31st Conference on Environmental Information Processing Technologies, Phoenix, AZ, USA, Amer. Meteor. Soc.
     
  68. Kurdzo, J. M., D. J. Bodine, B. L. Cheong, and R. D. Palmer, 2015: Polarimetric X-band radar observations of a failed occlusion in the 20 May 2013 Moore, Oklahoma EF5 tornado. 31st Conference on Environmental Information Processing Technologies, Phoenix, AZ, USA, Amer. Meteor. Soc.
     
  69. Kurdzo, J. M., D. J. Bodine, B. L. Cheong, and R. D. Palmer, 2014: High temporal resolution polarimetric radar observations of the 20 May 2013 Newcastle-Moore, Oklahoma EF-5 tornado using the PX-1000. 27th Conference on Severe Local Storms, Madison, WI, USA, Amer. Meteor. Soc, 11A.3.
     
  70. Kurdzo, J. M., B. L. Cheong, and R. D. Palmer, 2014: Pulse compression waveform design considerations for extreme weather observations. 8th European Conference on Radar in Meteorology and Hydrology, Garmisch-Partenkirchen, Germany.
     
  71. Kurdzo, J. M., B. L. Cheong, R. D. Palmer, F. Nai, D. J. Bodine, G. Zhang, and S. M. Torres, 2014: Waveform design applications for observations of severe local storms and tornadoes. 30th Conference on Environmental Information Processing Technologies, Atlanta, GA, USA, Amer. Meteor. Soc., 5.6.
     
  72. Kurdzo, J. M., B. L. Cheong, D. J. Bodine, and R. D. Palmer, 2014: The 20 May Newcastle-Moore, Oklahoma EF-5 tornado: High temporal resolution observations using the PX-1000. Special Symposium on Severe Local Storms: The Current State of the Science and Understanding Impacts, Atlanta, GA, USA, Amer. Meteor. Soc., 824.
     
  73. Kurdzo, J. M., J. Y. N. Cho, and R. S. Frankel, 2014: Velocity estimation improvements for the ASR-9 weather systems processor. 30th Conference on Environmental Information Processing Technologies, Atlanta, GA, USA, Amer. Meteor. Soc., 10. (PDF)
     
  74. Cheong, B. L., J. M. Kurdzo, G. Zhang, and R. D. Palmer, 2013: The quality of RhoHV using a multilag moment processor on a solid-state weather radar. 3rd International Symposium on Earth-Science Challenges (ISEC), Kyoto, Japan.
     
  75. Kurdzo, J. M., B. L. Cheong, R. D. Palmer, and D. J. Bodine, 2013: High temporal resolution radar observations of the 20 May 2013 Newcastle-Moore, Oklahoma EF-5 tornado using the PX-1000. 3rd International Symposium on Earth-Science Challenges (ISEC), Kyoto, Japan.
     
  76. Cheong, B. L., J. M. Kurdzo, G. Zhang, and R. D. Palmer, 2013: The impacts of multi-lag moment processor on a solid-state polarimetric weather radar. 36th Conference on Radar Meteorology, Breckenridge, CO, USA, Amer. Meteor. Soc., 2B.2. (PDF)
     
  77. Nai, F., J. M. Kurdzo, D. Bodine, R. Palmer, and S. Torres, 2013: Weather observations using the Atmospheric Imaging Radar and adaptive beamforming. 36th Conference on Radar Meteorology, Breckenridge, CO, USA, Amer. Meteor. Soc., 4B.2.
     
  78. Kurdzo, J. M., R. D. Palmer, B. L. Cheong, and G. Zhang, 2013: An optimized pulse compression waveform for high-sensitivity weather radar observations. University of Oklahoma Student Research and Performance Day, Norman, OK, USA.
     
  79. Kurdzo, J. M., B. L. Cheong, R. D. Palmer, G. Zhang, and J. B. Meier, 2013: An optimized pulse compression waveform for high-sensitivity weather radar observations. 29th Conference on Environmental Information Processing Technologies, Austin, TX, USA, Amer. Meteor. Soc., 7B.4.
     
  80. Kurdzo, J. M., F. Nai, D. J. Bodine, R. D. Palmer, and S. M. Torres, 2013: Volumetric supercell and tornado analysis with six-second temporal resolution using the Atmospheric Imaging Radar. 29th Conference on Environmental Information Processing Technologies, Austin, TX, USA, Amer. Meteor. Soc, 18.
     
  81. Nai, F., R. D. Palmer, S. M. Torres, J. M. Kurdzo, and D. J. Bodine, 2013: High-resolution tornado observations using the Atmospheric Imaging Radar. 29th Conference on Environmental Information Processing Technologies, Austin, TX, USA, Amer. Meteor. Soc., 7B.3.
     
  82. Cheong, B., R. Kelley, R. Palmer, Y. Zhang, M. Yeary, T.-Y. Yu, J. Kurdzo, and G. Zhang, 2012: PX-1000: A solid-state polarimetric X-band radar. NSF Community Workshop on Radar Technologies, Boulder, CO, USA, National Science Foundation.
     
  83. Nai, F., R. Palmer, S. Torres, J. Kurdzo, and D. Bodine, 2012: The Atmospheric Imaging Radar – Ubiquitous Radar. NSF Community Workshop on Radar Technologies, Boulder, CO, USA, National Science Foundation.
     
  84. Kurdzo, J. M., R. D. Palmer, B. L. Cheong, G. Zhang, and J. B. Meier, 2012: Optimal waveform design for pulse compression with weather radar using a genetic algorithm.  University of Oklahoma Student Research and Performance Day, Norman, OK, USA.
     
  85. Kurdzo, J. M., J. B. Meier, R. D. Palmer, B. L. Cheong, and G. Zhang, 2012: Pulse compression observations using the Rapid X-band Dual-Polarimetric (RaXpol) mobile radar.  28th Conference on International Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, New Orleans, LA, USA, Amer. Meteor. Soc., 7B.6.
     
  86. Kurdzo, J. M., and R. D. Palmer, 2011: Optimization of weather radar networks using a genetic algorithm. 2nd International Symposium on Earth-Science Challenges (ISEC), Norman, OK, USA.
     
  87. Kurdzo, J. M., and R. D. Palmer, 2011: Optimization of a multi-band, multi-mission phased array radar network using a genetic algorithm. 27th Conference on International Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, Seattle, WA, USA, Amer. Meteor. Soc., 13B.3.
     
  88. Kurdzo, J. M., and R. D. Palmer, 2010: Using a genetic algorithm to optimize a multi-band, multi-mission phased array radar network in the United States. The Sixth European Conference on Radar Meteorology and Hydrology, Sibiu, Romania, National Meteorological Administration of Romania, 25.
     
  89. Kurdzo, J. M., and R. D. Palmer, 2010: A multi-band, multi-mission phased array radar network in the CONUS. University of Oklahoma Student Research and Performance Day, Norman, OK, USA.
     
  90. Kurdzo, J. M., and R. D. Palmer, 2010: A multi-band, multi-mission phased array radar network in the CONUS. 26th Conference on International Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, Atlanta, GA, USA, Amer. Meteor. Soc., 390. (PDF)
     
  91. Kurdzo, J. M., R. A. Brown, and P. L. Heinselman, 2009: Evolutionary characteristics of a tornadic supercell thunderstorm: Comparisons of 1.0-min phased array radar and 4.2-min WSR-88D measurements. 34th Annual Northeastern Storm Conference, Springfield, MA, USA.
     
  92. Brown, R. A., J. M. Kurdzo, and P. L. Heinselman, 2009: Progress report on the evolutionary characteristics of a tornadic supercell thunderstorm: Comparisons of 1.0-min phased array radar and 4.2-min WSR-88D measurements. 25th Conference on International Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, Phoenix, AZ, USA, Amer. Meteor. Soc, 9B.3. (PDF)
     
  93. States, S., R. Junod, S. Cecelski, B. Kerschner, R. Carp, J. Kurdzo, K. Ketchell, S. Yalda, and R. Clark, 2009: An interactive instructional pathway to LEAD portal data and tools, Eighth Annual AMS Student Conference, Phoenix, AZ, USA, Amer. Meteor. Soc., P1.56.
     
  94. Kurdzo, J. M., R. A. Brown, and P. L. Heinselman, 2008: Evolution of a tornadic supercell thunderstorm. Part I: Preparation of one-minute phased array radar measurements for analysis. 3rd NOAA Ernest F. Hollings Scholar Presentations, Silver Spring, MD, USA.
     
  95. Kurdzo, J. M., J. M. Holt, and S. Zhang, 2008: Analysis of long-term temperature trends in the upper atmosphere over Millstone Hill. StormFest 2008, Pittsburgh, PA, USA.
     
  96. Yalda, S., E. N. Wiziecki, R. D. Clark, E. C. Meyers, H. Gadde, T. Daley, R. Junod, S. States, S. Cecelski, and J. Kurdzo, 2008: Integrating LEAD research in education. 17th Symposium on Education, New Orleans, LA, USA, Amer. Meteor. Soc., 3.1.
     
  97. Kurdzo, J. M., J. M. Holt, and S. Zhang, 2008: Analysis of long-term temperature trends in the upper atmosphere over Millstone Hill. Fifth Symposium on Space Weather, New Orleans, LA, USA, Amer. Meteor. Soc., P1.4.
     
  98. Holt, J. M., S. Zhang, and J. M. Kurdzo, 2007: Long-term temperature trends in the thermosphere based on incoherent scatter radar data. AGU Fall Meeting 2007, San Francisco, CA, USA, Amer. Geo. Union, SA24A-02.
     
  99. Meyers, E., H. Gadde, J. Kurdzo, T. Daley, J. Vogt, R. Junod, E. N. Wiziecki, S. Yalda, and R. D. Clark, 2007: Integrating LEAD research in education, TeraGrid ’07, Madison, WI, USA. (PDF)

Theses and Dissertations

  1. Kurdzo, J. M., 2015: Pulse Compression Waveforms and Applications for Weather Radar.  Ph.D. Dissertation submitted to the University of Oklahoma Graduate College. (PDF)
     
  2. Kurdzo, J. M., 2011: Optimization of Weather Radar Networks using a Genetic Algorithm. M.S. Thesis submitted to the University of Oklahoma Graduate College. (PDF)

Invited Presentations and Interviews

  1. Kurdzo, J. M., 2023: Research Topics in Radar Meteorology. Millersville University Undergraduate Introduction to Earth Sciences Course, Virtual, October 12, 2023.
     
  2. Kurdzo, J. M., 2022: A Career in Radar/Severe Storms Meteorology Research. Millersville University Undergraduate Introduction to Earth Sciences Course, Virtual, October 18, 2022.
     
  3. Kurdzo, J. M., 2022: ITORPE: Intelligent Tornado Prediction Engine. Millersville University Undergraduate Radar Course Guest Lecture, Virtual, March 31, 2022.
     
  4. Kurdzo, J. M., D. J. Bodine, and C. Fulton, 2021: Nasty Math and Creepy Waves. WeatherBrains Podcast, Virtual, September 20, 2021.
     
  5. Kurdzo, J. M., 2021: The August 2021 Tornadoes in Central Massachusetts. WCVB Channel 5, Boston, MA, August 23, 2021.
     
  6. Kurdzo, J. M. and J. Y. N. Cho, 2019: Cost-Benefit Studies for Radar Network Design. AMS Phased Array Symposium Invited Panel, Phoenix, AZ, January 8, 2019.
     
  7. Kurdzo, J. M., 2018: Emerging Radar Technologies for Improved Weather Observations. Millersville University Annual AMS Banquet, Millersville, PA, April 27, 2018.
     
  8. Kurdzo, J. M., 2018: High Spatiotemporal Resolution Observations of Tornadoes at the University of Oklahoma. Millersville University Undergraduate Radar Course Guest Lecture, Millersville, PA, April 27, 2018.
     
  9. Kurdzo, J. M., 2018: Tools of the Trade: MATLAB in Meteorology. 17th Annual American Meteorological Society Student Conference, Austin, TX, January 7, 2018.
     
  10. Kurdzo, J. M., 2018: Detection of Sea Clutter and Chaff on the WSR-88D Weather Radar Network. MIT Lincoln Laboratory Division 4 Seminar, Lexington, MA, February 15, 2017.
     
  11. Kurdzo, J. M., 2015: Interview for S01E04 of No Caminho dos Tornados. TROPOSFERA – Associação Portuguesa de Meteorologia Amadora, Norman, OK, May 21, 2015.
     
  12. Kurdzo, J. M., T.-Y. Yu, and J. Salazar, 2015: NSF Grant for a Polarimetric Atmospheric Imaging Radar. Interview for KOKH-TV, Norman, OK, August 28, 2015.
     
  13. Kurdzo, J. M., B. Mcguire, and M. Yeary, 2015: The Atmospheric Imaging Radar. Live Interview for The Weather Channel, Norman, OK, April 7, 2015.
     
  14. Kurdzo, J. M., 2015: The Atmospheric Imaging Radar: Frontiers for New Tornado-Observing Science. University of Oklahoma School of Meteorology Graduate Weather Radar Applications Course Guest Lecture, Norman, OK, February 27, 2015.
     
  15. Kurdzo, J. M., 2014: Pulse Compression for Weather Radar: Waveforms, Sensitivity, and Observations. University of Oklahoma School of Meteorology Graduate Weather Radar Theory Course Guest Lecture, Norman, OK, November 10, 2014.
     
  16. Kurdzo, J. M., 2014: University of Oklahoma Dedicates 35,000 Square Foot, $15 Million Radar Lab. Recorded Interview for National Public Radio, Norman, OK, October 23, 2014.
     
  17. Kurdzo, J. M., 2014: Radar Observations of Severe Local Storms and Tornadoes: Emerging Technologies and Recent Science. Millersville University Department of Earth Sciences Seminar Series, Millersville, PA, April 10, 2014.
     
  18. Kurdzo, J. M., 2014: Polarimetric Observations in Tornadic Supercells: A Case Study of the 20 May 2013 Moore, Oklahoma EF-5 Tornado. Millersville University Undergraduate Radar Course Guest Lecture, Millersville, PA, April 10, 2014.
     
  19. Kurdzo, J. M., 2013: An Introduction to Weather Radar Theory. University of Oklahoma School of Meteorology Undergraduate Measurements Course Guest Lecture, Norman, OK, December 2/4, 2013.
     
  20. Kurdzo, J. M., 2013: Early Career Opportunities and Your Goals in the Earth Sciences. Millersville University Undergraduate Introduction to Earth Sciences Course, Millersville, PA, September 9, 2013.
     
  21. Kurdzo, J. M., 2012: An Introduction to Weather Radar Theory. University of Oklahoma School of Meteorology Undergraduate Measurements Course Guest Lecture, Norman, OK, November 26/28, 2012.
     
  22. Kurdzo, J. M., 2012: Doppler Radar Analysis: Use of Estimated Moments. University of Oklahoma School of Meteorology Undergraduate Introduction to Meteorology Course Guest Lecture, Norman, OK, April 26, 2012.
     
  23. Kurdzo, J. M. and D. J. Bodine, 2012: Recent Radar Observations at the Atmospheric Radar Research Center. Central Oklahoma Chapter of the AMS, Norman, OK, February 23, 2012.