Multimodal learning–based reconstruction of high-resolution spatial wind speed fields

Wind speed at the sea surface is a key quantity for a variety of scientific applications and human activities. For its importance, many observation techniques exist, ranging from in situ to satellite observations. However, none of such techniques can capture the spatiotemporal variability of the phe...

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Bibliographic Details
Main Authors: Matteo Zambra, Nicolas Farrugia, Dorian Cazau, Alexandre Gensse, Ronan Fablet
Format: Article
Language:English
Published: Cambridge University Press 2025-01-01
Series:Environmental Data Science
Subjects:
Online Access:https://www.cambridge.org/core/product/identifier/S2634460224000347/type/journal_article
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