Session 12 Data Assimilation Methodology Advancement for Numerical Weather Prediction

Wednesday, 15 January 2025: 4:30 PM-6:00 PM
222 (New Orleans Ernest N. Morial Convention Center)
Host: 29th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS)

Papers:
4:30 PM
12.1
Assimilating Real Observations with ML Models
Jeffrey S. Whitaker, NOAA/OAR/PSL, Boulder, CO; and L. Slivinski, T. Smith, and S. Frolov

4:45 PM
12.2
Assimilating Measurements with State-Dependent Non-Gaussian Errors
Jonathan Poterjoy, University of Maryland, College Park, MD

5:00 PM
12.3
A Hybrid Four-Dimensional Ensemble Variational (Hybrid-4DEnVar) Data Assimilation System for the Model for Prediction across Scales (MPAS)
Robert G. Nystrom, Iowa State University, Ames, IA; and C. Snyder, Z. Liu, B. J. Jung, J. Ban, and I. Banos

5:15 PM
12.4
Revisit the Observation Errors for All-Sky Microwave Radiance Observations
Chih-Chi Hu, Princeton University, East Windsor, NJ

5:30 PM
12.5
A Quadrature Technique for Ensemble Kalman Filtering with Efficient and Precise Covariance Localization
Robin John Armstrong, Cornell University, Ithaca, NY; and I. Grooms and C. Snyder

5:45 PM
12.6
Graph Theoretic Observation Thinning for Satellite Radiances
William F. Campbell, NRL, Monterey, CA; NRL, Monterey, CA

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- Indicates an Award Winner