May 22, 2024 · Data-driven artificial intelligence (AI) models have made significant advancements in weather forecasting, particularly in medium-range and ...
5 days ago · This paper introduces WeatherGFT, a physics-AI hybrid model designed to extend weather forecasts to finer-grained temporal scales beyond the ...
This paper proposes a physics-AI hybrid model (ie, WeatherGFT) which Generalizes weather forecasts to Finer-grained Temporal scales beyond training dataset.
This paper proposes a physics-AI hybrid model (i.e., WeatherGFT) which Generalizes weather forecasts to Finer-grained Temporal scales beyond training dataset.
May 27, 2024 · Data-driven artificial intelligence (AI) models have made significant advancements in weather forecasting, particularly in medium-range and ...
Data-driven artificial intelligence (AI) models have made significant advancements in weather forecasting, particularly in medium-range and nowcasting.
May 29, 2024 · The researchers propose a physics-AI hybrid model called WeatherGFT that aims to generalize weather forecasts to finer-grained temporal scales ...
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Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling. W. Xu, F. Ling, W. Zhang, T. Han, H. Chen, W. Ouyang, ...
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling · 1 code implementation • 22 May 2024 • Wanghan Xu, Fenghua Ling ...
This paper proposes a physics-AI hybrid model (i.e., WeatherGFT) which Generalizes weather forecasts to Finer-grained Temporal scales beyond training dataset.