SgCALE provides scalable and predictive weather and climate analytics that can accurately and seamlessly simulate extreme weather events across various temporal (hourly, daily, sub-seasonal, seasonal, and decadal) and spatial (e.g., building, community, city) scales, mitigate their impacts in real-time, and enable collaboration with various stakeholders to provide tailored guidance towards climate-resilient city planning.
Hybrid statistical-dynamic downscaling based on multi-model ensembles
Real-time weather forecast based on AI technologies and big data.
Extreme weather prediction across Singapore, using a ConvLSTM2D model.
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