J7 Multi-University Consortium for Advanced Data Assimilation Research and Education (CADRE) II

Tuesday, 14 January 2025: 1:45 PM-3:00 PM
222 (New Orleans Ernest N. Morial Convention Center)
Hosts: (Joint between the 29th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS); and the Fourth Symposium on Community Modeling and Innovation )
Chair:
Zhaoxia Pu, University of Utah, Department of Atmospheric Sciences, Salt Lake City, UT
CoChair:
Yunji Zhang, PhD, The Pennsylvania State University, Dept of Meteorology and Atmospheric Science, and ADAPT Center, University Park, PA

Papers:
1:45 PM
J7.1
Improving Mesoscale Land-Atmosphere Coupled Covariance through Physics Parameter Perturbations on Dryline Convection Initiation Cases
Aaron T. Johnson, Univ. of Oklahoma, Norman, OK; and B. Castro and X. Wang

2:00 PM
J7.2
Evaluation of a Bayesian Data Assimilation Method in an Hourly Cycled Global Weather Prediction System
Dylan James Major, University of Maryland, College Park, MD; and J. Poterjoy

2:15 PM
J7.3
Evaluating Data Assimilation and Parameter Estimation on the Prediction of Heavy Snowfall during East Coast Winter Storms
Ethan Michael Schaefer, Pennsylvania State University, Glen Allen, VA; and S. J. Greybush, Y. Zhang, PhD, and M. Kumjian

2:30 PM
J7.4
Generating Cost-Saving Surrogate Background Ensemble with Diffusion Model for Convective-Scale Ensemble-Based Data Assimilation
Yongming Wang, Univ. of Oklahoma, Norman, OK; and X. Wang

2:45 PM
J7.5
Using Novel Observations at the Air-Sea Interface to Evaluate the Coupled Ocean-Atmosphere Background Ensemble Covariances from the Self-Cycled Hurricane Analysis and Forecast System (HAFS)
Tsung-Han Li, University of Oklahoma, Norman, OK; and X. Wang, X. Lu, Y. Yang, J. A. Zhang, H. S. Kim, H. kang, and Y. Li

Recorded Presentation
- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
See more of: 29th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS)
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