Temperature and wind speed multi-model predictions based on four forecasting systems are now available in the S2S4E Decision Support Tool for 3 months ahead (seasonal forecasts).

The operational tool of the S2S4E project, the Decision Support Tool (DST), offers seasonal forecasts for the next 3 months aimed at the renewable energy sector. Currently, the SEAS5 ECMWF seasonal system is used to generate these predictions.

A cold spell in France in January 2017 led to a jump in electricity demand and power prices. Sub-seasonal forecasts could have helped French power producers better prepare for this situation, research by S2S4E shows.

The quality of seasonal forecasts for flow in rivers in Europe is generally good, but varies depending on local conditions, a recent study by the Swedish Meteorological and Hydrological Institute (SMHI) has found.  

The study was done as part of the EU-funded S2S4E project, and was published in scientific journal Water Resources Research in May. 

Ahead of eight selected extreme weather events, the S2S4E team figured out how more reliable sub-seasonal to seasonal (S2S) forecasts can prevent economic losses for the energy sector, and improve both climate modellers' and traders' decision-making strategies. 

The COVID-19 crisis can exacerbate the effect of extreme heat events on public health. Sub-seasonal forecasts to help predict and prepare for such events are provided in the S2S4E Summer Extremes outlook.

The latest forecasts within the S2S4E Decision Support Tool indicate that Central and South-Western Europe could see unseasonably cold weather this summer, researcher Hannah Bloomfield from the University of Reading said on 8 June. 

“June could be relatively cool in Southern Europe, particularly in Spain and Portugal, and there is also a high probability of below normal temperatures for parts of France and Italy,” Bloomfield said during a webinar organised by the EU-funded S2S4E project. 

Electricity prices in the Nordic countries are likely to be unusually low this summer amid high inflows to hydropower plants, caused by a combination of a very snow-rich winter and late snowmelt.

“May was cooler than normal in Scandinavia and June has also started on the cool side. This has led to snowpack melting a bit later than it usually does,” Nathalie Schaller, a senior researcher at CICERO Center for International Climate Research, said during a webinar organised on 8 June as part of the S2S4E project.

S2S4E is organising an EUSEW Energy Day on 8 June with a series of three webinars on climate uncertainty visualisation, forecasts for the summer season and the Nordic energy market.

The EU Sustainable Energy Week (EUSEW) is the biggest event dedicated to renewables and efficient energy use in Europe. The 15th edition of EUSEW will be held as a digital event on 22-26 June 2020, bringing together energy stakeholders and enthusiasts to discuss and debate the way forward for green recovery and growth.

Very wet weather in Sweden in summer 2015 caused power prices to plunge. The resulting losses for hydropower operators could have been reduced if they had used seasonal forecasts in their decision-making, a study by S2S4E shows.

In the period May-July 2015, precipitation levels in Sweden were well above normal for the time of year, with the rain filling up the country’s hydropower reservoirs. At the same time, it was also unseasonably cold, causing snow melting to occur slower and later than expected

Many industries are in need of reliable and usable climate forecasts for the coming weeks and months. Such predictions can help energy companies and other weather-dependent sectors better manage climate-related risks.