MSS CCRS
Singapore Government
Mr Joshua LEE

Mr Joshua LEE

Research Scientist
Department of Weather Research
Weather Modelling Development Branch

  • joshua_lee@nea.gov.sg

Mr Joshua LEE

Mr Joshua Lee’s work in CCRS focuses on improving the data assimilation system for SINGV, a convective-scale numerical prediction model for Singapore, as part of a team. Prior to this, he worked on the Madden-Julian Oscillation and its teleconnections, as a potential source of sub-seasonal/seasonal predictability. Aside from his research interest in data assimilation, he is also excited about the possibility of implementing machine learning techniques in weather forecasting.

Education

    • 2017-2018
    • MSc in Atmosphere, Ocean and Climate, University of Reading, United Kingdom
    • 2014-2017
    • BSc in Mathematics and Meteorology, University of Reading, United Kingdom

Working Experience

    • 2018-present
    • Research Officer/Scientist, Centre for Climate Research Singapore, MSS

Research Interests

  • Data assimilation
  • Sub-seasonal/Seasonal predictions
  • Madden-Julian Oscillation
  • Applications of machine learning in meteorology

Lee, J. C. K., Lee, R. W., Woolnough, S. J., and Boxall, L. J., 2020:

The links between the Madden-Julian Oscillation and European weather regimes.

Theoretical and Applied Climatology, 141, 567-586.

Lee, J. C. K., and Huang, X.-Y., 2020:

Background error statistics in the tropics: Structures and impact in a convective-scale numerical weather prediction system.

Quarterly Journal of the Royal Meteorological Society, 146, 2154-2173.

Lee, J. C. K., and Klingaman, N. P., 2018:

The effect of the quasi-biennial oscillation on the Madden-Julian oscillation in the Met Office Unified Model Global Ocean Mixed Layer configuration.

Atmospheric Science Letters, 19(5), e816.