Table of contents

4.3.5. Climate and weather services

Climate and weather services provide crucial information for a wide range of stakeholders, including from the energy sector, for managing short-term climate variability and long-term climate change (EC, 2018f). Several European countries are supporting the development of climate services with a few to facilitating adaptation to climate change. This section presents a few examples of such services. For relevant activities at the EU level, see Section 4.2.3.

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The UK Met Office provides weather and climate information services to users throughout the energy sector (and beyond). The Met Office provides data to assist energy stakeholders in site selection, planning of maintenance and construction works, helping predict energy supply and demand changes, and providing warning services in order to manage weather-related risks (Met Office, 2018).

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The Dutch Meteorological Institute (KNMI) provides weather data and scenarios to guide decisions on energy production and storage. For example, weather data can be used to project the returns on investment of wind farm or solar PV sites. KNMI have developed four climate scenarios which take into account climate changes in the Netherlands to 2050 and 2085. These scenarios can be used to estimate the future use of gas, based on the number of heating degree days (KNMI, 2018).

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The Finnish Meteorological Institute have established a Seasonal and Climate Applications Group, which developed sectoral climate service products. This includes data for the energy sector, where tailored, high-resolution gridded datasets are provided. This data can give an indication of climate change impacts on energy supply and the climate change risks to the business component of energy systems (such as projected weather conditions and the impacts on energy revenues) (Finnish Meteorological Institute, 2018).

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The Swedish Meteorological and Hydrological Institute (SMHI) offers weather data products for energy trading, production, distribution and wind power. The use of this data allows users to evaluate and compare different weather models and selectable parameters. This can inform users about planning and optimising operations, whilst also providing custom-made warning systems for the energy sector (SMHI, 2018).

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