Mark works on consultancy for external bodies, from private companies to government agencies. He provides expertise in climatological statistical analysis and presentation methods for the benefit of all customers, consultancy on climate and climate change impacts, and weather sensitivity analysis.
The current focus of Mark's work is to provide and improve assessments of site suitability and energy generation potential for the renewable energy sector, especially wind energy. He has been involved in the development of a high resolution modelling system to improve Virtual Met MastTM.
Mark uses the Virtual Met MastTM with different parameters to cover all situations and complexities of a site. He then compares the results with Met Office National Climate Information Centre (NCIC) gridded climatological data to check for any anomalies that need further investigation or which may benefit from running a high resolution model. Performing this customer-specific analysis Mark can also feed into the verification work that our science team carry out to check the accuracy of Met MastTM predictions.
Mark joined the Met Office in 1993, working for more than four years as a model validation scientist in the Hadley Centre. He then moved to the Numerical Weather Prediction division, where he worked in the Numerical Modelling branch.
He joined the Scientific Consultancy Group in early 2000, and has worked on a variety of projects for the water, energy and insurance industries, as well as various government departments. Some examples of these projects are the effect of climate change on heavy short-period rainfall and the effect of climate change on the UK's nuclear power stations.
Mark has a BSc in astrophysics from Cardiff University.
Mark is a member of the Institute of Physics (MInstP) and is a Chartered Physicist (CPhys).
"We are working on modelling and climatological analysis to improve site assessments for energy generation. Our advancements in gauging wind resource at particular sites are helping to give a much more accurate prediction of how much wind energy can be expected over the lifetime of the project. With our high-resolution modelling tool we expect the outputs to be the best possible representation of conditions at a specific site."