The Met Office is a world-class operational weather forecasting and scientific research organisation. Our award-winning Met Office Headquarters in Exeter is home to excellent teams and computer technology, working to improve our understanding of, and ability to predict, atmosphere, land and ocean aspects of the earth-system.
The Ocean Forecasting Research & Development (OFR&D) group is an internationally recognised team of scientists who develop, evaluate, maintain and support a range of operational ocean and wave models. The group is responsible for the science behind the satellite and model based (re)analyses and the forecasts produced by the Met Office for the world’s oceans and regional seas. Increasingly, the OFR&D group are working on coupled Numerical Weather Prediction (NWP) systems to investigate the impacts of ocean-wave-atmosphere interactions on weather forecast timescales. The group creates products which are central to the EU Copernicus Marine Service, government and public weather services, to support Naval operations and to provide information of use to commercial customers.
To develop the ocean and sea-ice data assimilation to improve the accuracy of global ocean, sea-ice and coupled forecasts at time-scales ranging from a few days out to 6 months, and including reanalysis applications.
Assist in the maintenance and development of the NEMOVAR data assimilation scheme to provide accurate ocean and sea-ice forecasts.
Lead the development and assessment of the Met Office sea-ice data assimilation capability.
Contribute to the broader work of the group where appropriate, and to national and international projects.
Present the work of Ocean Forecasting R&D, both at conferences and meetings and in the literature.
Liaise with relevant groups outside Ocean Forecasting R&D, including other Met Office groups (particularly the polar climate, seasonal forecasting and coupled data assimilation groups), the wider academic community and NEMOVAR collaborators.
For more information see https://jobs.rmets.org/jobs/11698009-marine-data-assimilation-scientist-at-met-office