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SUMMARY:Using ECMWF's Forecasts Event (UEF2026)
DTSTART:20260601T080000Z
DTEND:20260604T170000Z
DTSTAMP:20260904T171400Z
UID:indico-event-524@events.ecmwf.int
CONTACT:events@ecmwf.int
DESCRIPTION:\nHD photo\n“Using ECMWF’s Forecasts” is a forum for ECM
 WF forecast users to exchange ideas\, share experiences\, and discuss the 
 use and performance of ECMWF’s forecasts and related products\, helping 
 to ensure that ECMWF’s services continue to meet user needs.\nOpen to al
 l ECMWF forecast users\, the forum provides opportunities for attendees to
  present their work\, give feedback on forecast performance and available 
 products and services\, and stay informed about ECMWF’s latest updates a
 nd plans. Dedicated time is included for sharing experiences and networkin
 g with ECMWF staff\, ECMWF Member and Co-operating States\, and other user
 s from around the world.\nUEF2026 theme: Extreme Temperature Forecasts\nTe
 mperature is a fundamental variable that affects everyone and everything\,
  commonly with significant impacts. UEF2026 focused on temperature forecas
 ting with particular emphasis on extreme hot (heatwave) and cold (cold wav
 e) events.\nOverview\nECMWF provides a wide range of temperature forecast 
 products and data\, spanning medium-range (15 days)\, sub-seasonal and sea
 sonal timescales. These include the well-known charts for 2m temperature a
 nd the 850 hPa level\, products that quantify uncertainty such as meteogra
 ms\, and those enable the calculation of probabilities for temperature thr
 esholds being exceeded or falling below thresholds. Derived products like 
 the Extreme Forecast Index (EFI) act as an 'alarm bell' for unusually hot 
 or cold conditions worldwide in the medium-range to sub-seasonal ranges\, 
 while SEAS5 provides seasonal outlooks of temperature anomalies. Member an
 d Co-operating States utilise ECMWF temperature data through downscaling a
 nd post-processing activities to better forecast temperatures and extremes
  in their areas. Together\, these products and data support temperature fo
 recasting for a broad range of applications and decision-making contexts.
  Over recent decades\, temperature forecast skill has improved consistent
 ly\, driven by advances in numerical weather prediction including coupling
  with other Earth System components (land\, ocean\, sea-ice\, atmospheric 
 composition) and data assimilation methodologies implemented through ECMWF
  model upgrades. More recently\, ECMWF's machine learning models\, AIFS a
 nd AIFS ENS\, have demonstrated strong performance for temperature forecas
 ting\, in many cases matching or exceeding traditional NWP approaches. In 
 addition\, high-resolution simulations from the Destination Earth programm
 e provide valuable case studies that deepen understanding of temperature e
 xtremes and their forecasting. Beyond weather timescales\, ECMWF contribu
 tes to climate monitoring through the Copernicus Climate Change Service (C
 3S) with applications such as the Climate Pulse and reports like the Globa
 l Climate Highlights. The key dataset\, ERA5 reanalysis\, facilitates rese
 arch on climate variability and change\, supporting analysis of how long-t
 erm temperature trends are impacting the world. UE2026 brought together t
 he forecasting community to advance understanding\, share expertise\, and 
 strengthen collaboration in temperature forecasting across timescales.\n\n
 https://events.ecmwf.int/event/524/
IMAGE;VALUE=URI:https://events.ecmwf.int/event/524/logo-1151941191.png
LOCATION:ECMWF
URL:https://events.ecmwf.int/event/524/
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