Singapore Government


Research Areas

There are five key areas. The first three, climate projections, seasonal outlook and weather prediction are all directly aimed to improve the scientific advice that MSS is able to provide to the end users of its forecasts and climate change projections. These activities rely upon the outputs of numerical models that are run on the in-house MSS CRAY super-computer. The fourth area represents the fundamental research to provide better understanding of tropical weather and climate processes in the region. This is a crucial undertaking that eventually leads to improvements of numerical models and enhancement to weather and climate prediction capabilities. All of these activities are underpinned by the climate data and analysis activities carried out in the climatology and climate studies section.



1. Climate Projections

Our work is to develop understanding of the changing climate and to generate climate scenarios to support national resilience planning.

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2. Seasonal Outlook

Our seasonal outlook research provides seasonal forecasts for Singapore and the surrounding Southeast Asian region that can assist end users to manage risks posed by seasonal climate variability.

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3. Weather Predictions

Research to improve numerical weather predictions (NWP) including a multi-year project in collaboration with the UK Met Office to develop the NWP/Nowcasting capability for Singapore.

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4. Understanding Weather and Climate Processes

Understanding key weather and climate processes is the foundation to provide quality information weather services to various communities across Singapore in terms of accuracy, timeliness and better understanding of the potential influence or impact.

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5. Climatology and Climate Studies

This area contains data digitisation and archiving activities and is responsible for the documentation of climate statistics and trends in Singapore and the carrying out of local climate studies.

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Collaborative Projects

CCRS is also involved in a number of national and international collaborative projects.

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