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Decatab, together with Simile, built an AI Platform to improve the accuracy of early warning system alerts to Timor-Leste communities. As a result, target communities are now able to better prepare for and respond to the impacts of climate-induced natural disasters.

Photo by ANTONIO DASIPARU/EPA-EFE/Shutterstock

An AI Platform has been developed to combine data from existing hydro-meteorological networks with global and satellite datasets to optimize in real-time the setting of thresholds related to flash-flood that trigger early warning alerts to communities. Machine Learning models have been used to predict the likelihood of floods in order to define the optimal parameter and threshold settings for early warning system alerts.

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Complex relations and complex models

SUMMARY  By carefully checking the assumptions of our modelling approach and the structure of our data, we can pick a better modelling

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