Session 8 Advances in Data Assimilation Methodology for Nonlinear Multiscale Problems

Tuesday, 30 January 2024: 4:30 PM-6:00 PM
Key 9 (Hilton Baltimore Inner Harbor)
Host: 28th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Ocean, and Land Surface
Cochairs:
Zhaoxia Pu, University of Utah, Department of Atmospheric Sciences, Salt Lake City, UT and Mark Buehner, Environment and Climate Change Canada (Dorval), Dorval, QC

Papers:
4:30 PM
8.1
Ensemble Kalman filters with self exclusion
Chris Snyder, NCAR, Boulder, CO; and J. Guerrette

4:45 PM
8.2
A Quantile Conserving Ensemble Filtering Framework for Tracer Concentration and Source Estimation and Parameters
Jeffrey Anderson, NCAR, Boulder, CO

5:00 PM
8.3
Improving Ensemble Data Assimilation with Probit-space Ensemble Size Expansion for Gaussian Copulas (PESE-GC)
Man-Yau (Joseph) Chan, The Ohio State University, Columbus, OH

5:15 PM
8.4
Convolutional Neural Network based Adaptive Localization for an Ensemble Kalman Filter
Lili Lei, Nanjing University, Nanjing, Jiangsu, China; and Z. Wang, J. Anderson, Z. M. Tan, and Y. zhang

5:30 PM
8.5
A Comparative Study of Innovation-based Methods for Estimating Observation Uncertainty During Data Assimilation
Henry Santer, University of Maryland, College Park, Beltsville, MD; and J. Poterjoy

5:45 PM
8.6
Non-Gaussian based Maximum Likelihood Ensemble Smoothers
Steven J. Fletcher, CIRA, Fort Collins, CO; and S. Van Loon and M. Zupanski

Recorded Presentation
- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
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