BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260624T171342Z
LOCATION:Bldg. 6 - 002
DTSTART;TZID=Europe/Stockholm:20260701T143000
DTEND;TZID=Europe/Stockholm:20260701T150000
UID:submissions.pasc-conference.org_PASC26_sess122_msa154@linklings.com
SUMMARY:From Numerical to Data-Driven Regional Forecasting: Challenges fro
 m a Scientific and Operational Perspective
DESCRIPTION:Laure Raynaud (Météo-France)\n\nAI has opened a new path for a
 tmospheric modeling, with gains in both quality and computational efficien
 cy. At Météo-France, like at other national weather services, the topic of
  AI for weather prediction has developed rapidly and is being explored fro
 m various angles, with applications to both global and regional, determini
 stic and probabilistic, predictions. An overview of our main achievements 
 and perspectives will be first presented. Although AI can be seen as a gam
 e changer for operational weather forecasting, it also comes with a number
  of scientific and technical challenges, that are likely to deeply redefin
 e research, evaluation, tooling, forecasters practice, and more generally 
 weather centres strategy. For instance, new questions arise regarding the 
 verification of AI forecasts and their physical consistency, which require
 s the development of innovative methods. In the same vein, explainability 
 and interpretability of AI models, and more generally users trust in this 
 new type of models, should be better characterized. Finally, there is no w
 ell-performing AI without high-quality data, and the production and access
  to historical and real-time data is likely to be the new top-priority cha
 llenge of weather centers.\n\nDomain: Climate, Weather, and Earth Sciences
 , Physics, Computational Methods and Applied Mathematics\n\nSession Chair:
  Oliver Fuhrer (MeteoSwiss, ETH Zurich)\n\n
END:VEVENT
END:VCALENDAR