Ensemble Data Assimilation (EnsDA): Improving Atmospheric Forecasts by Fusing Models with Observations
Department of Engineering Physics, Air Force Institute of Technology (May 15, 2025)
Gave an invited seminar to a (mostly) non-meteorologist audience on 1) how ensemble data assimilation converts observations into forecast corrections, 2) the immense flexibility of EnsDA methods, and 3) a novel method to improve high-dimensional uncertainty quantification.
Ensemble Data Assimilation (EnsDA): Creating Weather Forecasts by Marrying Ensembles and Observations
29th Annual Weather, Water, and Climate Symposium, The Ohio State University (Mar 21, 2025)
Gave a seminar to a general public audience on 1) forecast uncertainties grow with time due to chaos, 2) how forecast model ensembles are used to quantify forecast uncertainties, and 3) how ensemble data assimilation is used to marry observations with models to improve forecasting.
Advancing the Geospatial Big Data Fusion of Observations and Forecast Models (click here to view recording)
Department of Scientific Computing, Florida State University (Aug 28, 2024)
Gave an invited seminar on 1) the data-degrading impacts of statistical artifacts resulting from Gaussian forecast assumption in the Ensemble Kalman Filter (EnKF), 2) enhancing the impacts of IR data assimilation using a novel and efficient bi-Gaussian EnKF, and 3) a novel, efficient, scalable, and easy-to-implement method to improve forecast uncertainty quantification (Probit-space Ensemble Size Expansion for Gaussian Copulas; PESE-GC).
Improving the Ensemble Data Assimilation of Geostationary Satellite Infrared Imagery
Department of Atmospheric Science, Colorado State University (Nov 16, 2023)
Gave an invited seminar on 1) a new high resolution Tropical Mesoscale Convective System Reanalysis (TMeCSR), 2) a novel, efficient, scalable, and easy-to-implement method to improve forecast uncertainty quantification (Probit-space Ensemble Size Expansion for Gaussian Copulas; PESE-GC), and 3) enhancing the impacts of IR data assimilation using a novel efficient bi-Gaussian EnKF.
Improving the analysis and forecasts of tropical mesoscale convective systems by advancing the ensemble data assimilation of satellite infrared imagery (click here to view recording)
Mesoscale and Microscale Meteorology Laboratory, National Center for Atmospheric Research, USA (June 2023)
Gave an invited seminar on 1) improving the analyses and predictions of tropical mesoscale convective systems through assimilating satellite IR observations, 2) a new high resolution Tropical Mesoscale Convective System Reanalysis (TMeCSR), and 3) enhancing the impacts of IR data assimilation using a novel and efficient bi-Gaussian EnKF
Improving the analysis and forecasts of tropical mesoscale convective systems by advancing the ensemble data assimilation of satellite infrared imagery
Naval Research Laboratory, USA (June 2023)
Gave an invited seminar on 1) improving the analyses and predictions of tropical mesoscale convective systems through assimilating satellite IR observations, 2) a new high resolution Tropical Mesoscale Convective System Reanalysis (TMeCSR), and 3) enhancing the impacts of IR data assimilation using a novel and efficient bi-Gaussian EnKF
The Bi-Gaussian Ensemble Kalman Filter (BGEnKF): A Cloud-Aware Ensemble Data Assimilation Method
Environmental Modeling Center, National Center for Environmental Prediction (Dec 2022)
Gave an invited seminar on advancing the data assimilation of geostationary satellite IR observations through advancing an efficient bi-Gaussian EnKF.
Improving the Analyses and Forecasts of Tropical Mesoscale Convective Systems by Advancing the Ensemble Data Assimilation of Geostationary Satellite Infrared Radiances
Center for Climate Research Singapore, Meteorological Service Singapore, Singapore (Nov 2022)
Gave an hour-long invited seminar on 1) improving the analyses and predictions of tropical mesoscale convective systems through assimilating satellite IR observations, and 2) enhancing these improvements through using a novel and efficient bi-Gaussian EnKF
Restraining Tropical Chaos with Satellite Observations
Special Programme in Science, National University of Singapore, Singapore (Sept 2021)
Gave an hour-long informal invited seminar on satellite data assimilation to a mixture of scientists and undergraduates studying life science, chemistry and physics.
Advancing EnKF-based Infrared Radiance DA through Understanding and Mitigating Non-Gaussian Artefacts
American Meteorological Society's 29th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (2025)
A Dime a Hundred: Cost Effective Large Ensembles through Probit-space Ensemble Size Expansion for Gaussian Copulas (PESE-GC)
American Meteorological Society's Fourth Symposium on Community Modelling and Innovation (2025)
A high-resolution Tropical Mesoscale Convective System Reanalysis (TMeCSR; "tea-mixer")
American Meteorological Society's Second Symposium on the Future of Weather, Forecasting, and Practice (2024)
Mitigating the curse of small ensembles with Probit-space Ensemble Size Expansion for Gaussian Copulas (PESE-GC; “peace gee-see”)
American Meteorological Society's 28th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (2024)
A high-resolution Tropical Mesoscale Convective System Reanalysis (TMeCSR; "tea-mixer")
15th International Conference on Mesoscale Convective Systems (2023)
Mitigating the curse of small ensembles with Probit-space Ensemble Size Expansion for Gaussian Copulas (PESE-GC; “peace gee-see”; link to slides)
The 9th International Symposium for Data Assimilation (2023)
The Potential Benefits of Handling Mixture Statistics via a Bi-Gaussian EnKF: Tests with All-Sky Satellite Infrared Radiances (link to recording)
American Meteorological Society's 27th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (2023)
On the Importance of Parallel EnKFs for All-sky Infrared Data Assimilation
The 8th International Symposium for Data Assimilation (2022)
An Efficient Bi-Gaussian Ensemble Kalman Filter (BGEnKF) for Satellite Infrared Data Assimilation
The 8th International Symposium for Data Assimilation (2022)
On the Importance of Parallel EnKFs for All-sky Infrared Data Assimilation
American Meteorological Society's 35th Conference on Hurricanes and Tropical Meteorology (2022)
An Efficient Bi-Gaussian Ensemble Kalman Filter (BGEnKF) for Satellite Infrared Data Assimilation
American Meteorological Society's 26th Conference on Integrated Observing and Assimilation Systems for Atmosphere, Oceans and Land Surface (2022)
Improving Analyses and Forecasts of a Tropical Squall Line using Geostationary Infrared Observations
Asia Oceania Geosciences Society's Annual Meeting 2021
An Efficient Bi-Gaussian Ensemble Kalman Filter (BGEnKF) for Satellite Infrared Data Assimilation
American Meteorological Society's 25th Conference on Integrated Observing and Assimilation Systems for Atmosphere, Oceans and Land Surface (2021)
Improving Analyses and Forecasts of a Tropical Squall Line using Geostationary Infrared Observations (link to recording)
American Meteorological Society's 24th Conference on Satellite Meteorology, Oceanography and Climatology (2021)
Improving Analyses and Forecasts of a Tropical Squall Line using Geostationary Infrared Observations
Fourth Midwest Student Conference on Atmospheric Research, University of Illinois at Urbana-Champaign (2020)
All-sky Geostationary Infrared Data Assimilation over the Tropics
Ninth Annual Young Scientist Symposium on Atmospheric Research, Colorado State University (2019)
Potential impacts of assimilating All-Sky Satellite Infrared Radiances on Convention-Permitting Analysis and Prediction of Tropical Convection
Eighth American Meteorological Society Symposium on the Joint Center for Satellite Data Assimilation (JCSDA; 2019)
Joseph's PhD Dissertation Defense Presentation (click here)
Joseph's PhD Comprehensive Exam Presentation (click here)