MSS CCRS
Mr Adam CLAYTON

Mr Adam CLAYTON

Deputy Principal Research Scientist
Department of Weather Research
Data Assimilation and Ensembles Branch

  • To get in touch, please direct your message to NEA_CCRS_Engage@nea.gov.sg.

Mr Adam CLAYTON

As head of the Data Assimilation and Ensembles Branch, Mr Adam Clayton leads a team that is developing data assimilation and ensemble prediction systems, primarily for operational weather forecasting, but also for producing multi-decadal reanalysis datasets.

Before joining CCRS in 2025, Adam worked for 5 years at the Korea Institute of Atmospheric Predication Systems (KIAPS), where he led the Data Assimilation Techniques team. While at KIAPS, Adam’s personal research and development work focused on improving the core variational data assimilation system used with the Korea Integrated Model (KIM) NWP system, and on general improvements to the code development and testing infrastructure.

This followed a 27-year career at the UK Met Office, which included multi-year secondments to the Earth Simulator Centre in Japan, and the Korea Meteorological Administration. During this time, Adam’s research and development work was mainly focused on the Met Office variational data assimilation system, including development of gravity-wave control techniques, use of ensemble-based background error covariances, ensemble prediction system development, and improving the accuracy of large-scale structures in limited-area forecasting systems.

Education

    • 1996–1998
    • MSc in Weather, Climate and Modelling, University of Reading, UK
    • 1988–1990
    • BSc in Mathematics, Imperial College, UK

Working Experience

    • 2025-present
    • Branch Head / Deputy Principal Research Scientist, Centre for Climate Research Singapore, MSS
    • 2020–2025
    • Head of Data Assimilation Techniques team, Korea Institute of Atmospheric Prediction Systems (KIAPS), Republic of Korea
    • 2006–2020
    • Senior Scientist, Met Office, UK
    • 1993–2006
    • Scientific Officer, Met Office, UK

Research Interests

  • Ensemble-based data assimilation algorithms
  • Design of numerical weather prediction systems
  • Code design and optimisation
Adam’s full publication record can be accessed here.