Sharing Climate Services Experiences – catch-up on our 4th free SECLI-FIRM webinar
The geographical reach of the SECLI-FIRM project was expanded with our latest free webinar featuring presenters from the USA, with a dive into the methods and tools of the World Climate Service from, Pennsylvania based, Jan Dutton, and an exploration, by Carlos F. Gaitan from San Francisco based Benchmark Labs, on the role of machine learning and cloud computing with a U.S. slant.
The webinar enabled further sharing of the project case studies and this, fourth webinar, featured the ninth case study, involving our industrial partner Thames Water research partner the Met Office. Discover more about SECLI-FIRM case studies here.
The one-hour webinar was held in February 2021 and overcame the time zone challenge attracting participants from as far as Canada and Chile as well as the UK and Europe.
Lesley Penny, SECLI-FIRM Project Manager (UEA) chaired the webinar, introduced the SECLI-FIRM Project and welcomed the three expert presenters.
It was a diverse agenda opening with a presentation ‘Promoting the integration of seasonal climate forecasts in the water sector to help mitigate stress events in the supply – demand balance’ from Katie Chowienczyk, Senior Scientific Consultant at the Met Office, UK
Katie talked through the approach taken on the SECLI-FIRM water sector case study, from the initial user engagement with Thames Water, including workshops and the use of decision trees, to the tailoring of the science for application, on to the co-development and co-delivery of the trial forecast services, concluding with the review and improvement work on the forecasting service.
This was followed by presenter Carlos F. Gaitan, Chief Technology Officer from Benchmark Labs, provider of IoT forecasting solutions by delivering asset-specific forecasts for the agricultural sector and beyond to optimise management strategies, reduce water consumption and improve operational margins. Carlos’ presentation addressed Complementing the U.S. Public Sector’s Climate Services: The role of Machine Learning and Cloud Computing.
The webinar concluded by welcoming Jan Dutton, CEO, Prescient Weather who introduced the World Climate Service, which provides a single source of objective S2S forecast and analysis information to enable forecasting with a probabilistic and risk assessment focus for commodity trading desks focused on power, gas, and agriculture markets. His presentation addressed S2S Forecasts for Energy Markets.
Catch-up at a time that suits you and watch the recording: