Session 11 Data Assimilation Methodology Advancement for Numerical Weather Prediction II

Wednesday, 31 January 2024: 1:45 PM-3:00 PM
Key 9 (Hilton Baltimore Inner Harbor)
Host: 28th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Ocean, and Land Surface
Cochairs:
Xuguang Wang, University of Oklahoma, School of Meteorology, Norman, OK and Kathryn J. Sellwood, AOML, Atmospheric Science, Miami, FL

Papers:
1:45 PM
11.1
Incorporating non-Gaussian observation errors into variational methods
Chih-Chi Hu, Princeton University, East Windsor, NJ; and P. J. van Leeuwen and A. Geer

2:00 PM
11.2
Foundations for Universal Non-Gaussian Data Assimilation
Senne Van Loon, CIRA, Fort Collins, CO; and S. J. Fletcher

2:15 PM
11.3
All-Sky Assimilation of GOES-16 Water Vapor Channels with Accounting Cloud-Dependent Variations of Inter-Channel Correlations
Chengfeng Feng, The Univ. of Utah, Salt Lake City, UT; and Z. Pu

2:30 PM
11.4
Scalable Bias Correction Techniques Investigated with a Low-Dimensional Model
Joseph Knisely, Univ. of Maryland, College Park, MD; and J. Poterjoy, E. Satterfield, and W. F. Campbell

2:45 PM
11.5
Assessing a Technique for Integrated Data Assimilation and Machine Learning with a Hybrid Atmospheric Model
Istvan Szunyogh, Texas A&M Univ., College Station, TX; and D. Elliott, A. P. Wikner, T. Arcomano, B. Hunt, and E. Ott

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- Indicates paper has been withdrawn from meeting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