Monday, 26 January 2026
30th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS).
Session 2: “Data-driven” Assimilation and Numerical Weather Prediction with AI
(10:45am) Conor John Lewellyn: Generative Data Assimilation for High-Resolution Weather State Estimation in Data Sparse Areas (Invited Presentation)
(11:00am) Ryan Keisler: AIDA: Operational AI Data Assimilation from Level 1 Observations (Invited Presentation)
(11:15am) Xuguang Wang: Advancing Multiscale Data Assimilation with Machine Learning
(11:30am) Peter Jan van Leeuwen: Leveraging data-assimilation ideas and tools in machine learning
(11:45am) Yongming Wang: MAPCast: A Convection Allowing Emulator for Multi-scale Data Assimilation
Joint Session with the 30th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS) and 25th Conference on Artificial Intelligence for Environmental Science
Joint Session J3 – Machine Learning and Artificial Intelligence in Data Assimilation and Next Generation of Weather Forecasting
(2:45pm) Zhihong Chen: Investigation of data driven background ensemble covariance from Graphcast toward Hurricane data assimilation and prediction
Tuesday, 27 January 2026
30th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS).
Session J5: Multi-University Consortium for Advanced Data Assimilation Research and Education
(8:30am) Xingchao Chen: Improving Ensemble-Based Assimilation of All-Sky Infrared Radiances via Background-Error Covariance Enhancement
(8:45am) Henry Santer: Non-parametric Estimates of Sea Ice Concentration Observation Errors using CICE6 and Kernel Embeddings of Conditional Distributions
(9:00am) Max Carl Johncox: Assessing the Role of Snow Data Assimilation in Improving S2S Weather Forecasts and Extreme Event Prediction with UFS and JEDI
(9:15am) Joshua Wei Chen: Learning Multivariate Non-Gaussian Observation Error Models and Assessing their Impact on Iterative Data-Assimilation Methods
(9:30am) Aaron Johnson: Convection-allowing Ensemble-based Land-atmosphere Coupled Background Error Covariance and its Sampling Error: A Dryline Case Study
(9:45am) Yunji Zhang: Examining Correlation Structure using a Large GEFS Ensemble: An Example with Planetary Boundary Layer Height
Joint Session with the 30th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS) and Fifth Symposium on Community Modeling and Innovation
Joint Session J7 – Multi-University Consortium for Advanced Data Assimilation Research and Education – Part II
(1:45pm) Ethan Michael Schaefer: Exploring the Sensitivity of Heavy Snowfall Prediction in Northeast U.S. Winter Storms to JEDI Data Assimilation and Microphysics Parameters in MPAS
(2:00pm) Haotong Jing: Soil Moisture Data Impact in Coupled Land–Atmosphere Data Assimilation with UFS and JEDI
(2:15pm) Yu-Shin Kim: Impact of Assimilating Atmospheric Boundary Layer Observations on the Rapid Intensification of Hurricane Idalia (2023) in Self-cycled HAFS-JEDI System
(2:30pm) Daniel Lee Kubalek: Using U-NET-based Emulator to Increase Background Ensemble Members for Cost-Effectively Improving MLGETKF Cycling Data Assimilation
(2:45pm) Hyun-Sook Kim: Assessment of Ocean Observation Impacts on Coupled Hurricane Forecasts
3pm Poster Session
Braedon Stouffer: Assimilating Boundary Layer Depths Observed by WSR-88Ds to Improve the Prediction of a Derecho
Jacob Peace: State Dependent Bias Correction Within Convection-Allowing Ensemble Systems using Random Forests
Maria Nikolaitchik: DAPyR: An Open-Source Python Package for Data Assimilation Education and Research
Chandler Michael Pruett: Improving Tropical Cyclogenesis Prediction Using All-Sky Water-Vapor-Channel Infrared Radiance Data Assimilation
Ayoola Olumide Abe: Evaluating UFS and MPAS Forecast Performance of a High Impact Severe Storm Initiated by Dryline Cold Front Interaction