Joint Poster Session 1 Intrinsic and Practical Predictability of Global Weather Prediction: Progress and Challenges in Observations, Modeling, and Data Assimilation

Monday, 13 January 2020: 4:00 PM-6:00 PM
Hall B (Boston Convention and Exhibition Center)
Hosts: (Joint between the Fifth Symposium on US-International Partnerships; and the Fourth Symposium on Multiscale Predictability: Data-model Integration and Uncertainty Quantification for Weather, Climate and Earth System Monitoring and Prediction )

The intrinsic and practical predictability of global weather forecasting is of great interest to all numerical weather prediction centers around the world.  This session will have four invited talks by internationally known predictability experts to speak on what we know about intrinsic predictability, where we currently are in actual predictive skill and what improvements could be made to models, observations and data assimilation to push current practical predictability closer to the theoretical limit. All engaged in these topics are encouraged to submit their research and innovations in these areas as posters.

Papers:
472
Diagnosing Regional Low-Skill Forecasts in the FV3-Based GFS
Travis J. Elless, IMSG at NOAA/NWS/NCEP/EMC, College Park, MD; and D. T. Kleist

474
Assessment of the Subseasonal Prediction Performance of the Mozambique Monsoon Rainfall and Its Modulation by the Madden–Julian Oscillation (MJO)
Kénedy Cipriano Silvério, Federal Univ. of Paraná (UFPR), Curitiba, Brazil; Higher Polytechnic Institute of Songo (ISPS), Songo Village, Tete, Mozambique; and A. M. Grimm

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