HIGHLIGHTS
- who: Nonlin. Processes Geophys. and collaborators from the UnivGrenoble Alpes, Inria, CNRS, Grenoble INP, LJK, Grenoble, France have published the research: Optimal transport for variational data assimilation, in the Journal: (JOURNAL)
- what: The authors focus on variational data assimilation. The authors investigate in this Article the idea of using instead a distance stemming from optimal transport theory - the Wasserstein distance, which can take into account position errors. From optimal transport theory several distances can be derived, with the most widely known being the Wasserstein distance (denoted W) which is sensitive to misplaced features and is . . .
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