Jonathan Poterjoy Data Assimilation · University of Maryland

Invited talks

Invited presentations at conferences, workshops, universities, research laboratories, and summer schools.

Conferences and workshops

17 talks
  1. 2026Operator-Free Data Assimilation for Complex Measurement Processes, Minisymposium on Uncertainty Quantification in Data Assimilation Methods, SIAM Conference on Uncertainty Quantification (UQ26), Minneapolis, MN
  2. 2026Panelist, Town Hall on Artificial Intelligence for Data Assimilation, Forecast Improvement Group, 106th AMS Annual Meeting, Houston, TX
  3. 2025Practical Approaches to Assimilating Observations That Exhibit State-Dependent, Non-Gaussian Errors in Earth-System Models, Data Meets Dynamics: Workshop on Data Assimilation for Complex Systems and Applications, Madison, WI
  4. 2022Progress and Long-Term Obstacles for Tropical Cyclone Data Assimilation and Prediction, 35th AMS Conference on Hurricanes and Tropical Meteorology, New Orleans, LA
  5. 2022Panelist, Young Career Workforce and Student Panel, NOAA Unifying Innovations in Forecasting Capabilities Workshop, College Park, MD
  6. 2021High-Dimensional Data Assimilation Using Regularization and Iterative Resampling With the Local Particle Filter, International Symposium on Data Assimilation – Online (virtual)
  7. 2021Tempered and Hybrid Particle Filter Methodology for Geophysical Data Assimilation, 25th AMS Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface, 101st AMS Annual Meeting (virtual)
  8. 2019Particle Filter-Based Data Assimilation for Numerical Weather Prediction, 1st International Workshop in Data Assimilation, Medellín, Colombia (virtual)
  9. 2019Benefits of a Localized Particle Filter Explored Using the AOML-UMD Ensemble Prediction System, International Union of Geodesy and Geophysics General Assembly, Montréal, QC, Canada
  10. 2018Regional Weather Prediction Using the Local Particle Filter in an Experimental HWRF Modeling System, 2nd ADAPT Symposium on “Advanced Understanding, Monitoring and Prediction of Weather, Climate and Environmental Systems,” State College, PA
  11. 2018Regional Weather Forecasting Using the Local Particle Filter, 5th International Workshop on Nonhydrostatic Models, Tokyo, Japan
  12. 2018Toward the Application of Particle Filters for Numerical Weather Prediction and Research, 8th EnKF Data Assimilation Workshop, Sainte-Adèle, QC, Canada
  13. 2017Localized Particle Filters for Weather Prediction and Research, National Strategic Computing Initiative Workshop, Arlington, VA
  14. 2017Storm-Scale Weather Analysis and Prediction at the NOAA National Severe Storms Laboratory Using a Non-Gaussian Filter, 3rd RIKEN International Symposium on Data Assimilation, Kobe, Japan
  15. 2016Probabilistic Weather Analysis and Prediction Using the Local Particle Filter, Advances in Data Assimilation, Predictability, and Uncertainty Quantification, American Geophysical Union Fall Meeting, San Francisco, CA
  16. 2016Efficient Assimilation of Observations via a Localized Particle Filter in High-Dimensional Geophysical Systems, Perspectives on Model-Informed Data Assimilation, SIAM Conference on Uncertainty Quantification, Lausanne, Switzerland
  17. 2014Hybrid Four-Dimensional Data Assimilation With and Without Tangent Linear Model Operators, 6th EnKF Data Assimilation Workshop, Buffalo, NY

Seminars and lectures

31 talks
  1. 2026A Research Framework for Sea Ice Data Assimilation in the Presence of Complex Observation Processes, NASA Jet Propulsion Laboratory, Center for Climate Sciences Friday Seminar, Pasadena, CA (virtual)
  2. 2026Kernel and Generative Strategies for Handling Complex Observation Processes in Geophysical Data Assimilation, University of Maryland, Baltimore County, Department of Mathematics and Statistics Colloquium, Baltimore, MD
  3. 2026Kernel and Generative Strategies for Handling Complex Observation Processes in Geophysical Data Assimilation, University of Maryland, Applied Mathematics & Statistics, and Scientific Computation (AMSC) Seminar, College Park, MD
  4. 2025Assimilating Earth System Measurements With Unknown or Error-Prone Measurement Operators, University of Reading, Data Assimilation Research Centre (DARC)–CADRE Joint Seminar, Reading, UK (virtual)
  5. 2023Designing Fully Non-Parametric State and Parameter Estimation Methods for the UFS, NOAA National Severe Storms Laboratory, Forecast Research and Development Division, Norman, OK
  6. 2023Toward Fully Non-Parametric State and Parameter Estimation for Earth-System Models, IBM Research (virtual)
  7. 2023Bridging Basic and Applied Data Assimilation Research for Earth System Models, Pennsylvania State University, Department of Meteorology and Atmospheric Science Colloquium, University Park, PA
  8. 2023The Mathematics, Science, and “Art” of Data Assimilation for Environmental Prediction, Millersville University, Department of Meteorology, Millersville, PA
  9. 2019Big Data, Very Big Computers, and the Endless Pursuit for an “Honest” Weather Prediction System, University of Delaware, Department of Geography, Newark, DE
  10. 2019Bayesian Data Assimilation Within a Regional Modeling Framework, Environment and Climate Change Canada, Meteorological Research Division, Dorval, QC, Canada
  11. 2019Bayesian Data Assimilation Within a Regional Modeling Framework, Deutscher Wetterdienst (German Meteorological Service), Offenbach, Germany
  12. 2019From Toy Models to NWP: Leveraging HWRF for Data Assimilation Development, NOAA Hurricane Weather Research and Forecasting Model Seminar, College Park, MD
  13. 2019Big Data, Very Big Computers, and the Endless Pursuit for an “Honest” Weather Prediction System, Millersville University, Department of Meteorology, Millersville, PA
  14. 2019Progress in the Development of a Localized Particle Filter for Weather Prediction, University of Maryland, Earth System Science Interdisciplinary Center, College Park, MD
  15. 2018Progress in the Development of a Localized Particle Filter for Regional Weather Prediction, NASA Goddard Space Flight Center, Global Modeling and Assimilation Office, Greenbelt, MD
  16. 2018Progress in the Development of a Localized Particle Filter for Numerical Weather Prediction and Research, Japan Meteorological Agency, Meteorological Research Institute, Tokyo, Japan
  17. 2017Nonlinear Data Assimilation for Geophysical Analysis, Prediction, and Research, North Carolina State University, Department of Marine, Earth, and Atmospheric Sciences, Raleigh, NC
  18. 2017Progress in the Development of a Localized Particle Filter for Atmospheric Analysis, Prediction, and Research, University of Maryland, Department of Atmospheric and Oceanic Science, College Park, MD
  19. 2017Nonparametric Data Assimilation for Weather Research and Forecasting, University of Miami, Department of Computer Science, Miami, FL
  20. 2016Storm-Scale Weather Analysis and Prediction Using a Nonparametric Filter, University of Arizona, Department of Mathematics, Tucson, AZ
  21. 2016Progress Toward the Development of a Nonlinear Filter for High-Dimensional Data Assimilation in Geoscience, Pennsylvania State University, Center for Advanced Data Assimilation and Predictability Techniques, University Park, PA
  22. 2016Hybrid and Coupling of Ensemble and Variational Data Assimilation: An Informative Comparison of Adjoint- and Ensemble-Based Four-Dimensional Strategies, Pennsylvania State University, Center for Advanced Data Assimilation and Predictability Techniques, University Park, PA
  23. 2016Probabilistic Storm-Scale Analysis and Prediction Using a Nonparametric Ensemble Filter: Implications for Tropical Cyclone Forecasting, NOAA Atlantic Oceanographic and Meteorological Laboratory, Miami, FL
  24. 2016An Efficient Nonparametric Data Assimilation Method for Atmospheric Research and Ensemble Forecasting, National Weather Center, Norman, OK
  25. 2016Efficient Nonparametric Data Assimilation for Atmospheric Research and Prediction, Florida State University, Department of Earth, Ocean and Atmospheric Science, Tallahassee, FL
  26. 2015A Localized Particle Filter for Large Dimensional State Estimation, 12th CAS-TWAS-WMO Forum: Coupled Data Assimilation Symposium, Beijing, China
  27. 2015Can We Do Better Than the Kalman Filter? A Localized Particle Filter for Large Dimensional State Estimation, Peking University, Department of Atmospheric and Oceanic Sciences, Beijing, China
  28. 2015A Localized Particle Filter for Large Dimensional State Estimation, Chinese Academy of Meteorological Sciences, Beijing, China
  29. 2015A Localized Particle Filter for High-Dimensional Nonlinear Systems, Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO
  30. 2014Ensemble Filtering for Large-Dimensional Nonlinear Systems, Pennsylvania State University, Department of Statistics, University Park, PA
  31. 2014Hybrid Data Assimilation for Tropical Cyclone Analysis and Prediction, Stony Brook University, Department of Marine and Atmospheric Sciences, Stony Brook, NY

Summer schools and training workshops

7 talks
  1. 2026A Bayesian Introduction to Data Assimilation, CADRE–EPIC Data Assimilation Training and Science Workshop, National Weather Center, Norman, OK
  2. 2026Particle Filters, CADRE–EPIC Data Assimilation Training and Science Workshop, National Weather Center, Norman, OK
  3. 2025Introduction to Bayes' Theorem and Connections to Modern Data Assimilation, CADRE–EPIC Data Assimilation Training Workshop, Colorado State University, Fort Collins, CO
  4. 2025Nonlinear Data Assimilation Methods: Particle Filters and Particle Flow Filters, CADRE–EPIC Data Assimilation Training Workshop, Colorado State University, Fort Collins, CO
  5. 2015A Localized Particle Filter for Data Assimilation in High-Dimensional Nonlinear Systems, STATMOS Summer School in Data Assimilation, Boulder, CO
  6. 2015Hybrid and Coupling of Ensemble and Variational Data Assimilation, 12th CAS-TWAS-WMO Forum: Data Assimilation Summer School, Beijing, China
  7. 2015Introduction to NCAR Data Assimilation Research Testbed (DART), 12th CAS-TWAS-WMO Forum: Data Assimilation Summer School, Beijing, China