Session 13B Data Assimilation: Research and Operational Applications on All Spatial and Temporal Scales I

Thursday, 1 February 2024: 8:30 AM-10:00 AM
Key 10 (Hilton Baltimore Inner Harbor)
Host: 28th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Ocean, and Land Surface
Cochairs:
Shu-Hua Chen, University of California Davis, Land, Air, and Water Resources, Davis, CA and Istvan Szunyogh

Papers:
8:30 AM
13B.1
Key features and evaluation of version 3 of Environment and Climate Change Canada’s Regional Surface and Precipitation Reanalysis
Nicolas Gasset, PhD, Environment and Climate Change Canada, Dorval, QC, Canada; and D. Khedhaouiria, V. Fortin, M. Dimitrijevic, A. Lauer, M. Bulat, C. Saad, V. Poitras, G. Roy, N. Pentcheva, R. Muncaster, M. Carrera, B. Bilodeau, and F. Lespinas

8:45 AM
13B.2
The Meteorological Object-oriented Tools and Operators Repository-Data Assimilation (MOTOR-DA) System: Operational Results
Zilong QIN, Shenzhen Institute of Meteorological Innovation, Shenzhen, 44, China; and Y. Wu, J. Pang, J. Chen, T. Shu, F. Zheng, and Y. N. Xie

9:00 AM
13B.3
Experiments with a Variable-Resolution MPAS-JEDI-based Global Data Assimilation System with ~3-km Horizontal Cell Spacing over North America
Craig Schwartz, Colorado State University, Fort Collins, CO; and J. Bresch, B. J. Jung, J. Guerrette, J. Ban, Y. G. Yu, Z. Liu, and C. Snyder

9:15 AM
13B.4
Improving Atmospheric River Forecasts: the Role of Data Assimilation and New Observations
Minghua Zheng, Scripps Institution of Oceanography, Univ. of California, San Diego, La Jolla, CA; and L. Delle Monache, B. Cornuelle, A. C. Subramanian, V. S. Tallapragada, X. Wu, J. Wang, E. Yanez Jr., A. M. Wilson, and M. M. Ralph

9:30 AM
13B.5
Improving Flash Flooding Forecast with the Assimilation of PBL Depth Observations from the NexRAD Network: The July 2022 East Kentucky Flood
Yunji Zhang, PhD, Pennsylvania State Univ., University Park, PA; and D. J. Stensrud, C. L. Comer, and R. S. Schumacher

9:45 AM
13B.6
Simultaneous Multiscale 4DEnVar in Hurricane Analysis and Forecast System (HAFS)
Xu Lu, Univ. of Oklahoma, Norman, OK; and X. Wang

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- Indicates paper has been withdrawn from meeting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