The 104th American Meteorological Society (AMS) Annual Meeting takes place from 28 January to 1 February 2024 in Baltimore and online, with the theme ‘Living in a changing environment’.
We are involved in a number of sessions throughout the event, presenting topics including forecasting system improvements, data assimilation, our new AIFS data-driven model, trends in AI and conventional NWP, data storage and extraction, experiences with open data, and global fire activity and emissions.
Full details of ECMWF presentations and sessions are listed below.
Monday, 29 January
- 2.3 – Bytes from petabytes: Extracting information out of massive meteorological datasets
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Tiago Quintino
11:15 to 11:30 EST / 16:15 to 16:30 GMT
324 (The Baltimore Convention Center)
Abstract: Bytes from petabytes: Extracting information out of massive meteorological datasets
- 3B.3 - ECMWF forecast improvements and future perspectives
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Tony McNally
14:15 to 14:30 EST / 19:15 to 19:30 GMT
336 (The Baltimore Convention Center)
Abstract: ECMWF forecast improvements and future perspectives
- Joint panel discussion – What's the forecast for RF spectrum? Exploring the way forward on spectrum for the weather-water-climate enterprise in 2024
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Tony McNally, panelist
16:30 to 18:00 EST / 21:30 to 23:00 GMT
307 (The Baltimore Convention Centre)
- 4A.3 - AI-Models: A tool for making forecasts with data-driven NWP models
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Baudouin Raoult
17:15 to 17:30 EST / 22:15 to 22:30 GMT
345/346 (The Baltimore Convention Center)
Abstract: AI-Models: A tool for making forecasts with data-driven NWP models
Tuesday, 30 January
- J5A.2 - Lessons learned in opening access to numerical weather prediction data: navigating complexity, user expectations, and outreach and engagement challenges
-
Emma Pidduck
8:45 to 9:30 EST / 13:45 to 14:00 GMT
337 (The Baltimore Convention Center)
- Town hall meeting – Forecasting trends: the balance between NWP and AI and how it will evolve in the near or distant future
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Matthew Chantry, panelist
12:15 to 13:15 EST / 17:15 to 18:15 GMT
Holiday 6 (Second Floor, Hilton Baltimore Inner Harbor)
- J7A.1 - Towards a FAIRest Copernicus Climate and Atmosphere Data Store
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Manuel Fuentes
13:45 to 14:00 EST / 18:45 to 19:00 GMT
337 (The Baltimore Convention Center)
Abstract: Towards a FAIRest Copernicus Climate and Atmosphere Data Store
Wednesday, 31 January
- Session 9B - International hazards – the UN’s Early Warnings for All (EW4All) Challenge
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Becky Hemingway, co-chair
8:30 to 10:00 EST/ 13:30 to 15:00 GMT
336 (The Baltimore Convention Center)
Abstract: International hazards – the UN’s Early Warnings for All (EW4All) Challenge
- J9B.2 - Leveraging large language models for providing user support and access to forecast products
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Baudouin Raoult
8:45 to 9:00 EST / 13:45 to 14:00 GMT
338 (The Baltimore Convention Center)
Abstract: Leveraging large language models for providing user support and access to forecast products
- 12C.6 - Global vegetation fires in 2023 as seen by GFAS in CAMS
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Mark Parrington, Antje Inness, Johannes Flemming (co-authors); presented by Johannes Kaiser (SatFire Kaiser and Norwegian Institute for Air Research)
17:45 to 18:00 EST / 22:45 to 23:00 GMT
325 (The Baltimore Convention Center)
Abstract: Global vegetation fires in 2023 as seen by GFAS in CAMS
Thursday, 1 February
- 15C.1 - Towards ensemble land data assimilation at ECMWF
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Ewan Mark Pinnington
13:45 to 14:00 EST / 18:45 to 19:00 GMT
339 (The Baltimore Convention Center)
- J16B.3 - AIFS – ECMWF’s data-driven probabilistic forecasting system
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Matthew Chantry
17:00 to 17:15 EST / 22:00 to 22:15 GMT
336 (The Baltimore Convention Center)
Abstract: AIFS – ECMWF’s data-driven probabilistic forecasting system