A storm recently passed through Estevan, and another is already bearing down on the southeast.
With those storms, a lot of people will be looking towards forecasts looking to know what's happening and when they're happening.
Forecasting isn't always perfect and changing conditions can alter what might seem set in stone. That's why a group is trying to utilize a new technology to try and make forecasts more accurate.
Scott Kehler, the President and Chief Scientist for Weatherlogics Inc., is looking to change how forecasts are made.
Below is an example of Weatherlogic's work, comparing their analysis and the forecasts of last week's storm.
At @weatherlogics we are experimenting with machine learning to see how it can improve forecasts. Today we ran our model again for last week's storm using machine learning to see how that would have changed the forecast...here are the results (the maps are for Wednesday): (1/4) pic.twitter.com/qgz3o7onXI
— Scott Kehler (@scottdkehler) April 18, 2022
We sat down and talked with him to understand more about how this technology could improve forecasts.