Session 12B High Impact Weather Research to Make Warnings More Effective

Wednesday, 15 January 2025: 4:30 PM-6:00 PM
347 (New Orleans Ernest N. Morial Convention Center)
Host: 20th Symposium on Societal Applications: Policy, Research and Practice
Chair:
Brian William Golding, UKMO, Exeter

The HIWeather project of the World Weather Research Programme has been successful in promoting an holistic view of the warning chain from observations and forecasts through Impact-Based Warning to communication and response. Key to this has been the building up of an active interdisciplinary community of social and physical scientists working together to better understand what makes an effective warning system. Building on previous work, including in the Weather Ready Nation initiative and in the THORPEX experiment, HIWeather has developed a concept of the warning chain based on partnerships among the many actors producing, delivering and using high impact weather information. This concept has been influential in designing the response to the UN Secretary General's call for Early Warnings for All, as well as in the construction of new and improved warning systems in several countries.

The session will address this topic through a combination of invited and submitted presentations on the implications of HIWeather and other projects for the development of more effective high impact weather warnings.

Papers:
4:30 PM
12B.1
Overview of the High Impact Weather Project and its Achievements
Brian William Golding, Met Office, Exeter, United kingdom

4:45 PM
12B.2
5:00 PM
12B.3
Multiscale Forecasting of High-Impact Weather: Current Status and Future Challenges
Sharanya J. Majumdar, Ph.D., University of Miami, Miami, FL; and J. Sun, B. W. Golding, P. Joe, J. Dudhia, O. Caumont, K. C. Gouda, P. Steinle, B. Vincendon, J. Wang, and N. Yussouf

5:15 PM
12B.4
A Collaborative and Interdisciplinary Approach to Addressing Societal Needs Related to Severe Weather Forecasting in East Africa
Anna del Moral Méndez, Ph.D, NSF NCAR, EOL, Boulder, CO; and C. D. Wirz, T. M. Weckwerth, R. D. Roberts, and J. W. Wilson

5:30 PM
12B.5
Event-Specific Human Perception and Response Data for Early Warning System Research
Brenda J. Philips, Univ. of Massachusetts, Amherst, Amherst, MA

5:45 PM
12B.6
- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner