THIS PAGE IS UNDER BETA TESTING AND MAY NOT BE REGULARLY UPDATED
Colorado State University Machine Learning Forecasts of Excessive Rainfall
Forecast products are generated via Random Forest machine learning models, which predict the occurrence of excessive rainfall within 40 km of a point. You can learn more about our products in these peer-reviewed publications: Herman and Schumacher (2018a) and Herman and Schumacher (2018b)
Click the buttons at the top of the page to scroll through different predictor models (e.g., GEFS vs. NSSL WRF), versions (2019 or 2020), and lead time of forecasts (e.g., Day 2). You also have the option of overlaying the operational excessive rainfall outlook forecast from the Weather Prediction Center, and verying observations, which typically show up a few days after an event. Change the forecast initialization date using the calendar in the upper-right corner of the webpage.
All questions about the products and forecasts can be directed to Dr. Aaron Hill (aaron.hill@colostate.edu)
Colorado State University Machine Learning Forecasts of Excessive Rainfall
Forecast products are generated via Random Forest machine learning models, which predict the occurrence of excessive rainfall within 40 km of a point. You can learn more about our products in these peer-reviewed publications: Herman and Schumacher (2018a) and Herman and Schumacher (2018b)
Click the buttons at the top of the page to scroll through different predictor models (e.g., GEFS vs. NSSL WRF), versions (2019 or 2020), and lead time of forecasts (e.g., Day 2). You also have the option of overlaying the operational excessive rainfall outlook forecast from the Weather Prediction Center, and verying observations, which typically show up a few days after an event. Change the forecast initialization date using the calendar in the upper-right corner of the webpage.
All questions about the products and forecasts can be directed to Dr. Aaron Hill (aaron.hill@colostate.edu)
Colorado State University Machine Learning Forecasts of Excessive Rainfall
THIS PAGE IS UNDER BETA TESTING AND MAY NOT BE REGULARLY UPDATED
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