WeatherSyn: An Instruction Tuning MLLM For Weather Forecasting Report Generation
Researchers have introduced WeatherSyn, a novel instruction-tuned multimodal large language model (MLLM) designed for generating weather forecast reports. This model is trained on a new dataset, , which includes data for 31 American cities and covers eight weather aspects. Evaluations indicate that WeatherSyn outperforms existing closed-source MLLMs, particularly in generating reports for complex weather phenomena, and demonstrates strong zero-shot generalization capabilities across different regions. AI
IMPACT Introduces a specialized MLLM for weather forecasting, potentially improving efficiency and accuracy in report generation.