  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 have this access before.
