Examining Entropic Unbalanced Optimal Transport and Sinkhorn Divergences for Spatial Forecast Verification

Examining Entropic Unbalanced Optimal Transport and Sinkhorn Divergences for Spatial Forecast Verification

ABSTRACT An optimal transport (OT) problem seeks to find the cheapest mapping between two distributions with equal total density, given the cost of transporting density from one place to another. Unbalanced OT allows for different total density in each distribution. This is the typical setting for p...

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Bibliographic Details
Main Authors: Jacob J. M. Francis, Colin J. Cotter, Marion P. Mittermaier
Format: Article
Language:English
Published: Wiley 2025-07-01
Series:Meteorological Applications
Subjects:
forecast verification
ICP
MesoVICT
optimal transport
Sinkhorn divergence
spatial method
Online Access:https://doi.org/10.1002/met.70068
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https://doi.org/10.1002/met.70068

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