ML-based flood forecasting: Advances in scale, accuracy and reach
Floods are among the most common and deadly natural disasters in the world, and flood
warning systems have been shown to be effective in reducing harm. Yet the majority of the
world's vulnerable population does not have access to reliable and actionable warning
systems, due to core challenges in scalability, computational costs, and data availability. In
this paper we present two components of flood forecasting systems which were developed
over the past year, providing access to these critical systems to 75 million people who didn't …
warning systems have been shown to be effective in reducing harm. Yet the majority of the
world's vulnerable population does not have access to reliable and actionable warning
systems, due to core challenges in scalability, computational costs, and data availability. In
this paper we present two components of flood forecasting systems which were developed
over the past year, providing access to these critical systems to 75 million people who didn't …
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