Using Machine Learning to Estimate the Intensity of Hurricane Ida

Screenshot of the user portal for IMPACT’s Deep Learning-based Hurricane Intensity Estimator showing Hurricane Ida. The portal shows a plot of machine learning wind speed estimations for Ida compared to the National Hurricane Center’s (NHC) estimated wind speeds. The portal includes current satellite imagery, track (location) and intensity (wind speeds) data from the deep-learning based algorithm.
An example of the GOES longwave infrared (brightness) satellite imagery used by the deep learning algorithm to estimate the wind speeds. Hurricane Ida pictured above at 13:23 UTC (8:23 am local time) on August 29, 2021.
A snapshot of Hurricane Ida at 7am local time on August 29, 2021. The plot below shows the estimation of the model (black dots) versus the National Hurricane Center (NHC)/Weather Prediction Center (WPC) observed wind speeds (green dots and green solid line). The middle graph is wind speed (in knots) and hurricane category versus time. As seen on the portal for the Deep Learning-based Hurricane Intensity Estimator.

This is the unofficial blog of the Interagency Implementation and Advanced Concepts Team.