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Found 3 papers, 1 papers with code
Multi-Modal Learning-based Reconstruction of High-Resolution Spatial Wind Speed Fields
We show that in-situ observations with richer temporal resolution represent an added value in terms of the model reconstruction performance.
Learning-based estimation of in-situ wind speed from underwater acoustics
As sea surface winds produce sounds that propagate underwater, underwater acoustics recordings can also deliver fine-grained wind-related information.
Development details and computational benchmarking of DEPAM
In the big data era of observational oceanography, passive acoustics datasets are becoming too high volume to be processed on local computers due to their processor and memory limitations.
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