Singapore Government


Research Scientist
Department of Weather Research
Numerical Weather Prediction Branch



Mr Erik Becker joins the CCRS with over 9 years of experience in operational weather radar data processing. His current research focuses on exploring the latest developments in machine learning algorithms to improve near real-time forecasts. Accurate forecasts require high quality data. Thus, he also has a keen interest in weather radar data quality control techniques to make sure that weather radar data is of the highest standard possible.


    • 2020-Present
    • PhD Candidate, Wageningen University & Research, Netherlands
    • 2011-2014
    • MSEN, College of Agriculture, Engineering and Science, University of KwaZulu Natal, South Africa
    • 2004-2008
    • BSc and BSc (Hons), Department of Geography, Geoinformatics and Meteorology, University of Pretoria, South Africa

Working Experience

    • 2018-present
    • Research Scientist, Centre for Climate Research Singapore, MSS
    • 2009-2017
    • Research Scientist, Research and Development Department, South African Weather Service, South Africa

Research Interests

  • Nowcasting and very short range forecasting
  • Weather radar data processing and quality control
  • Remote sensing of precipitation
  • Machine learning algorithms

Sun, X., Becker, E., Zhang, S., Huang, X.-Y., Doan, Q.V. 2018.

Development of a machine-learning Nowcasting system at the Meteorological Service Singapore

MSS Research Letters, 2, 33-40.

Poolman, E.,de Coning, E., Becker, E., Pegram, G., Sinclair, S., Kroese N., 2014:

Improvement of early preparedness and early warning systems for extreme climatic events – Flood warnings.

WRC Report No. K5/2068/1, Pretoria.

Elena Saltikoff, Ph.D.; John Cho, Ph.D.; Philippe Tristant; Asko Huuskonen; Lynn Allmon; Russell Cook; Erik Becker; Paul Joe, Ph.D., 2015:

The threat to weather radars by wireless technology.