Accepted by AAAI-26 (Oral). We present the first benchmark dataset for multi-region and multi-variable weather synthesis, and introduce SynWeatherDiff, a diffusion-based general model that generates diverse meteorological variables conditioned on satellite observations and task-specific prompts.
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Accepted by AAAI-26 (Oral). We present the first benchmark dataset for multi-region and multi-variable weather synthesis, and introduce SynWeatherDiff, a diffusion-based general model that generates diverse meteorological variables conditioned on satellite observations and task-specific prompts.
Dtdtxuky/SynWeather
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Accepted by AAAI-26 (Oral). We present the first benchmark dataset for multi-region and multi-variable weather synthesis, and introduce SynWeatherDiff, a diffusion-based general model that generates diverse meteorological variables conditioned on satellite observations and task-specific prompts.
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