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WxC-Bench: A Novel Dataset for Weather and Climate Downstream Tasks

Abstract High-quality openly-accessible machine learning (ML)-ready datasets play a foundational role in developing new artificial intelligence (AI) models or fine-tuning existing models for scientific applications such as weather and climate analysis. However, despite the growing development of new...

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Hoofdauteurs: Rajat Shinde, Kumar Ankur, Christopher E. Phillips, Aman Gupta, Simon Pfreundschuh, Sujit Roy, Sheyenne Kirkland, Vishal Gaur, Venkatesh Kolluru, Amy Lin, Prajun Trital, Aditi Sheshadri, Udaysankar Nair, Manil Maskey, Rahul Ramachandran
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Nature Portfolio 2026-03-01
Reeks:Scientific Data
Online toegang:https://doi.org/10.1038/s41597-026-06839-7
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