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RWIS based road condition prediction using machine learning algorithms
(2021-06-26)
The need for a forecasting model of road conditions is becoming evermore critical, given the effects of ever-increasing severity in weather. Drastic changes in weather, especially cold fronts, often lead to dangerous roads. ...
Machine learning for classifying biological radar echoes with S-band polarimetric radar
(2023-12-15)
The S-band WSR-88D weather radar is sensitive enough to observe biological
scatterers like birds and insects. However, their non-spherical shapes and frequent
collocation in the radar resolution volume create challenges ...
Coupling Data Science Techniques and Numerical Weather Prediction Models for High-Impact Weather Prediction
(2016-08-12)
Meteorologists have access to more model guidance and observations than ever before, but this additional information does not necessarily lead to better forecasts. New tools are needed to reduce the cognitive load on ...