This project will enhance a machine learning (ML)-based excessive rainfall forecast system by improving and extending the historical datasets used to train and verify the model forecasts, as well as…

The University of Oklahoma received a $281,389 Cooperative Agreement from the National Oceanic and Atmospheric Administration (NOAA) under the Weather and Air Quality Research program (CFDA 11.459), effective August 1, 2025, through July 31, 2028. The award supports enhancement of a machine learning (ML)-based excessive rainfall forecast system through development and expansion of historical datasets used to train and verify model forecasts. The project will improve the predictors that characterize larger-scale atmospheric environments and antecedent conditions contributing to enhanced flood risk, advancing NOAA's weather prediction capabilities in support of the Weather Research and Forecasting Innovation Act of 2017.

This effort aligns with the Weather and Air Quality Research program's focus on advancing weather observations, modeling, computing, and forecasting capabilities to protect life and property. The work will be performed at the University of Oklahoma's location in Norman, Oklahoma, leveraging the institution's extensive expertise in atmospheric sciences and meteorology to transition research outputs toward operational deployment within NOAA's forecasting infrastructure.

This project will enhance a machine learning (ML)-based excessive rainfall forecast system by improving and extending the historical datasets used to train and verify the model forecasts, as well as the predictors that characterize the larger-scale atmospheric environment and antecedent conditions that contribute to enhanced flood risk.