Researchers develop AI-driven method to improve forecasts weeks in advance

Haonan Chen, a CSU associate professor of electrical and computer engineering, and his team have published research that ...

Chasing subseasonal forecasts with AI

Subseasonal forecasting, or the ability to predict weather trends two weeks to two months in advance, is a capability highly ...
IEEE

Ka-Band Cloud Radar Meteorological Echo Dataset With Complex Weather Coverage: Baseline Models for Deep Learning Applications

Abstract: Hydrometeors are essential to climate change and radiative budget research, making its observation important. Ka-band radar, valued for high spatial resolution and strong penetration, is ...
IEEE

Advanced Deep Learning Techniques for Multivariate Weather Prediction Using RNN and LSTM Models

Abstract: This paper investigated advanced deep learning and traditional machine learning techniques for multivariate weather forecasting using time series data. A dataset with weather features like ...