An external view of the Met Office building at night.

Global modelling scientists

Melissa is a global model development scientist.

  • Dr Andrew Bushell

    Andrew leads non-orographic gravity wave parametrization research and development in the Met Office, researches middle atmosphere and space weather.

  • Dr Dan Copsey

    Dan works in developing and assessing the Met Office Hadley Centre's climate models.

  • Dr Paul Earnshaw

    Paul works to develop the Global Atmosphere Model, with a particular interest in dynamics and model resolution.

  • Dr Siegfried Gonzi

    Siegfried does space weather research.

  • Dr Tim Graham

    Tim leads a team working on development of the coupled weather and climate model.

  • Julian Heming

    Julian works on the prediction of tropical cyclones worldwide.

  • Dr Edmund Henley

    Edmund Henley does space weather research.

  • Tim Hinton

    Tim is a scientist working on the climate model simulation of mid-latitude atmospheric blocking and the stratosphere.

  • Prof. Mike Cullen

    Mike leads a Met Office data assimilation research group and also works on theoretical atmospheric dynamics and nonlinear partial differential equations.

  • Mike Marsh

    Mike is a Space Weather Applied Scientist in space weather research and forecasting.

  • Dr Marion Mittermaier

    Marion works on the evaluation of models across space and time scales

  • Dr Sophie Murray

    Space Weather Research Scientist

  • Dr José Rodríguez

    José works on understanding and reducing systematic errors in coupled climate models, in particular the representation of the global hydrological cycle.

  • Dr Lorenzo Tomassini

Lorenzo works on the interaction between convection and the atmospheric circulation, and  contributes to global model development.

  • Martin Willett

    Martin works on the evaluation and development of the parameterization of convection in the Global Atmosphere version of the Unified Model.

  • Dr Prince Xavier

    Prince works on the seamless assessment of error growth in global models.