WINDSET: Weather Insights and Novel Data for Systematic Evaluation and Testing

ICLR 2024 Workshop DMLR Submission39 Authors

Keywords: Weather Foundation Model, Downstream Studies, AI-ready datasets

TL;DR: This paper introduces ML-ready datasets tailored for selected weather prediction and analysis tasks

Abstract: The demand for accurate and timely weather predictions continues to rise due to the ubiquitous role of the weather in our day-to-day activities. Weather foundation models are capable of accurate and precise weather prediction with high scalability and modularity. Additionally, these generalized models can be finetuned to specialized downstream tasks such as generating forecast discussions or predicting aircraft turbulence. To help explore these capabilities, we present WINDSET - Weather Insights and Novel Data for Systematic Evaluation and Testing for validating the capabilities of weather foundation models across multiple downstream tasks. This paper introduces ML-ready datasets tailored for selected weather prediction and analysis tasks.

Primary Subject Area: Data collection and benchmarking techniques

Paper Type: Extended abstracts: up to 2 pages

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Submission Number: 39