An Objective Prediction Method for High-Humidity Weather Based on the Combination of Numerical Forecasting and Recurrent Neural Networks
Articles|更新时间:2025-10-20
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An Objective Prediction Method for High-Humidity Weather Based on the Combination of Numerical Forecasting and Recurrent Neural Networks
“In the field of meteorological forecasting, experts have constructed an indoor surface temperature prediction model based on the GRU model, combined with artificial intelligence and numerical forecasting, to improve the level of Huinan Tian forecasting.”
Desert and Oasis MeteorologyVol. 19, Issue 3, Pages: 132-138(2025)
LAI Yulin,HU Jiahui,GAN Hai,et al.An Objective Prediction Method for High-Humidity Weather Based on the Combination of Numerical Forecasting and Recurrent Neural Networks[J].Desert and Oasis Meteorology,2025,19(3):132-138.
LAI Yulin,HU Jiahui,GAN Hai,et al.An Objective Prediction Method for High-Humidity Weather Based on the Combination of Numerical Forecasting and Recurrent Neural Networks[J].Desert and Oasis Meteorology,2025,19(3):132-138. DOI: 10.12057/j.issn.1002-0799.2312.02001.
An Objective Prediction Method for High-Humidity Weather Based on the Combination of Numerical Forecasting and Recurrent Neural Networks