CAWRAS serves as a national research platform to advance tropical climate and weather research for Singapore and Southeast Asia. It may even nurture native expertise pipeline in weather and climate science. Senior Minister of State for Sustainability and the Environment Janil Puthucheary attended the launch as Guest-of-Honour.
Highlighting the importance of CAWRAS’ work, Dr Puthucheary stated, “Climate science gives us a better glimpse into the future and helps reduce the uncertainty in climate projections, allowing us to plan and calibrate our various adaptation measures based on the latest available science, which we have done in areas such as coastal protection, flood resilience, heat resilience and food security. Weather services are crucial in providing the necessary data to government agencies and stakeholders for their operations.”
He added that there’s a want to additional perceive tropical climate and weather methods, and develop localised, high-resolution merchandise tailor-made to this area, which has our personal uniqueness.
“The research alliance will bring together and harmonise the unique capabilities across our institutes,” stated Dr Puthucheary. “This collaborative research model will also allow us to nurture a robust local talent pipeline in weather and climate science… We need to have that capability and expertise so that we position Singapore at the forefront of tropical urban weather and climate science.”
Five NUS tasks have been awarded funding, amongst 10 tasks, below a S$25 million Weather Science Research Programme funded below the Research, Innovation and Enterprise 2025 plan which might be carried out through CAWRAS.
NUS researchers might be spearheading the next research initiatives:
1. Enhancing next-generation numerical weather prediction
Dr Srivatsan V Raghavan from the NUS Tropical Marine Science Institute, might be main a venture crew to improve Singapore’s weather science capabilities by leveraging high-resolution radar knowledge to enhance thunderstorm prediction throughout the vital 0-6 hour vary and scale back false alarms for heavy rainfall occasions.
2. Modelling Singapore’s complicated city surroundings and its results on weather, together with excessive circumstances
A crew of scientists led by Professor Matthias Roth from the Department of Geography at NUS Faculty of Arts and Social Sciences will look into creating a next-generation urban-scale weather forecasting system to enhance prediction capabilities from the present 1.5km decision utilized by the Meteorological Services Singapore to a lot finer neighbourhood scales (100-300m). The enhanced system will present extra detailed forecasts for city warmth, wind flows, excessive rainfall, and air air pollution dispersion.
3. Understanding the results of air-sea-land interactions on the weather of the Maritime Continent
Dr Kaushik Sasmal from the Technology Centre for Offshore and Marine, Singapore, will drive research efforts to develop a completely coupled atmosphere-ocean-land modeling system to enhance weather prediction within the Maritime Continent area, notably for phenomena strongly influenced by air-sea-land interactions similar to squall traces, atmospheric and marine vortices, and the diurnal cycle of rainfall.
4. AI basis fashions for regional weather prediction within the Maritime Continent
Assistant Professor Zhu Lailai from the Department of Mechanical Engineering below the College of Design and Engineering at NUS might be main a venture to set up a common framework for fine-tuning present AI Foundation Models tailor-made to high-resolution regional weather prediction within the Maritime Continent. The goal is to strengthen excessive weather detection, with aviation recognized as a precedence software.
5. Leveraging superior strategies to remodel complicated ensemble knowledge into actionable tropical weather forecasts
A crew led by Assistant Professor He Xiaogang from the Department of Civil and Environmental Engineering below the College of Design and Engineering at NUS might be creating the Tropical Ensemble Model Post-processing with Explainable Scenario (TEMPEST) system to interpret ensemble forecasts by way of novel clustering algorithms.
Prof Liu stated, “NUS welcomes this national research alliance as an integral part of our commitment to research and innovation in the areas of sustainability and climate change. Leveraging our research strengths such as urban climate modelling, hydroclimatology, artificial intelligence, and foundation modelling, we are excited to contribute significantly on a national level to Singapore’s weather prediction capabilities while nurturing the next generation of weather and climate scientists.”
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