Topic: Predictability

Friday, May 03, 2024 from 7-9h UTC

Organizers and Conveners: Monika Krysta (BoM, Australia), Takeshi Enomoto (Kyoto U., Japan), Tobias Necker (U. Vienna, Austria)

Invited Speaker: Prof. Dr. George Craig (HErZ / LMU Munich, Germany)

Join us for a compelling session on Predictability, focusing on its limits and the potential for enhancement through improved Data Assimilation. This session targets the core questions: How far can we stretch the boundaries of Predictability? And in what ways can refining data assimilation techniques contribute to this expansion? The session will navigate the intricate interplay between the inherent limits of forecasting and the advances in data assimilation, crucial for example in meteorology, oceanography, or seismology. We invite abstracts for a vibrant exchange of ideas aimed at deepening our understanding of Error Growth and Predictability in environmental and chaotic systems.

OPEN CALL FOR ABSTRACTS (click here to submit / deadline 15. March 2024)

Presentations:

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Time Zones:
07
09 UTC
Europe:            08 – 10 am BST (London)      | 09 – 11 am CEST (Berlin)
Asia/Australia: 03 – 05 pm CST (Shanghai)   | 04 – 06 pm JST (Tokyo)      | 05 – 07 pm AEDT (Sydney)
Americas:        00 – 02 am PDT (San Fran.)  | 01 – 03 am MDT (Denver)   | 03 – 05 am EDT (New York)

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