Skip to main content
European Commission logo
English English
CORDIS - EU research results
CORDIS
CORDIS Web 30th anniversary CORDIS Web 30th anniversary

Event category

Content archived on 2022-07-06

Article available in the following languages:

EN

Free webinar: Sharing Climate Services experiences between the EU SECLI-FIRM project and in the USA

Register to join the fourth free EU Horizon 2020 SECLI-FIRM project webinar 'Sharing Climate Services experiences between the EU SECLI-FIRM project and in the USA on 10 February 2021 17:00-18:00 CET 16:00-17:00 UK

10 February 2021 - 10 February 2021
Norwich, United Kingdom
© SECLI-FIRM
Join us on 10 February as we host a free webinar with a trio of presentations sharing climate services experiences between the EU SECLI-FIRM project and in the USA, featuring the SECLI-FIRM Thames Water project case study, the World Climate Service and exploring the role of Machine Learning and Cloud Computing with a U.S. slant.

An hour long free webinar 17:00-18:00 CET and 16:00-17:00 UK

Registration is open https://bit.ly/SECLIFIRM

Agenda:
Introduction from Alberto Troccoli, UEA/WEMC

Presentations:

Katie Chowienczyk, Senior Scientific Consultant, Met Office
- Promoting the integration of seasonal climate forecasts in the water sector to help mitigate stress events in the supply - demand balance
(Thames Water, UK case study, SECLI-FIRM project)

Carlos F. Gaitan, Chief Technology Officer, Benchmark Labs
- Complementing the U.S. Public Sector's Climate Services: The role of Machine Learning and Cloud Computing

Jan Dutton, CEO, Prescient Weather
- S2S Forecasts for Energy Markets

Questions for presenters
Use #SECLIFIRM to contribute on Twitter

We hope you can join us as we cross geographic borders and share our project findings further. Register here https://bit.ly/SECLIFIRM

Follow us on Twitter for regular updates https://twitter.com/SECLI_Firm
Find out more about the event at http://www.secli-firm.eu/events/

Keywords

climate services, world climate service, SECLI-FIRM, EU H2020, Thames Water, Met Office, Prescient Weather, Bench Mark Labs, sharing experiences, Machine Learning, Cloud Computing, Energy Markets, S2S Forecasts