Data assimilation for a quasi-geostrophic model with circulation-preserving stochastic transport noise

DOI10.1007/s10955-020-02524-0zbMath1444.62134arXiv1910.03574OpenAlexW2979529518MaRDI QIDQ781799

D. Kharzeev

Publication date: 20 July 2020

Published in: Journal of Statistical Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1910.03574

zbMATH Keywords

Markov chain Monte Carlo methoddata assimilationnudginggeophysical fluid dynamicstemperingjitteringmulti-layer quasi-geostrophic modelstochastic parameterisationstochastic transport noise

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Monte Carlo methods (65C05) Interacting random processes; statistical mechanics type models; percolation theory (60K35) Statistical mechanics of liquids (82D15) Classical dynamic and nonequilibrium statistical mechanics (general) (82C05) Statistical aspects of big data and data science (62R07)

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