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Alasdair Skea

Alasdair manages the Renewables Applications team.

Alasdair leads the research and development effort to provide operational weather and climate services to industry.

Current activities

Alasdair manages the Post-Processing Applications team which develops and delivers products to help our industry customers manage the impact of weather on their business.

The team supports a range of services across industry sectors, including Surface Transport, Marine, Energy and Retail. Recent team project highlights are working with renewable energy companies to improve generation forecasts from their assets, collaborating with National Grid to develop solar irradiance forecasting techniques and research into innovative probabilistic marine forecasts which add value to the raw model outputs for the offshore oil & gas industry.

Alasdair also manages a programme of scientific research and technical developments, utilising the Met Office's world-leading scientific capability, to increase the efficiency of the production process and provide the best quality service to our customers. This uses cloud computing technologies and addresses Big data problems related to meteorological datasets.

Career background

Alasdair joined the Met Office in 2002 as a research scientist after finishing a degree in Physics at Durham University. Following this, Alasdair completed an MSc in Weather, Climate and Numerical modelling at the University of Reading whilst working in the local forecasting research and development group.

Alasdair's previous experience has focused on developing techniques to add site-specific forecast skill to our Met Office Numerical Weather Prediction models model output and on developing bespoke products and services for the Met Office's customers. In particular Alasdair was responsible for the maintenance and development of the Met Office Road Surface Temperature model (MORST) which is the primary data source for the OpenRoad product, and the Site-Specific Processing System (SSPS) which provides a range of forecasts for thousands of locations around the world.

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