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Found 2 papers, 1 papers with code
KARINA: An Efficient Deep Learning Model for Global Weather Forecast
This model achieves forecasting accuracy comparable to higher-resolution counterparts with significantly less computational resources, requiring only 4 NVIDIA A100 GPUs and less than 12 hours of training.
Advancing Data-driven Weather Forecasting: Time-Sliding Data Augmentation of ERA5
In this new paradigm, our research introduces a novel strategy that deviates from the common dependence on high-resolution data, which is often constrained by computational resources, and instead utilizes low-resolution data (2. 5 degrees) for global weather prediction and climate data analysis.
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