Effective flood forecasting can save lives, property, and the environment by estimating the size, timing, and duration of floods. The techniques and tools for assessing future floods are continually evolving, and new satellites, measurements, and data sets offer greater opportunity to enhance the quality and accuracy of flood forecasts.
Machine Learning Meets Flood Forecasting is a two-day workshop that will discuss ways to improve flood forecasting by “aggregating and sharing large data sets, automating calibration and modeling processes, and applying modern statistical and machine learning tools to the problem.”
RTI researchers will contribute a presentation to the workshop. Please check back for more details on the presentation.
Learn more about the work RTI International does to help communities better manage their water resources.