A comparison of nonlinear extensions to the ensemble Kalman filter. Gaussian anamorphosis and two-step ensemble filters

DOI10.1007/S10596-022-10141-XzbMath1489.86016arXiv2107.07475OpenAlexW4221059097MaRDI QIDQ2147573

Ian Grooms

Publication date: 20 June 2022

Published in: Computational Geosciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2107.07475

zbMATH Keywords

data assimilationensemble Kalman filterGaussian anamorphosisrank histogram filter

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Bayesian inference (62F15) Filtering in stochastic control theory (93E11) Geostatistics (86A32)

Uses Software

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• GitHub
• ROMS

Cites Work

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