Transformed and generalized localization for ensemble methods in data assimilation

DOI10.1002/mma.3496zbMath1339.45011OpenAlexW2141793816MaRDI QIDQ2802656

Aamir Nadeem, Roland W. E. Potthast

Publication date: 26 April 2016

Published in: Mathematical Methods in the Applied Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/mma.3496

zbMATH Keywords

data assimilationensemble methodsensemble Kalman filtergeneralized localizationinfrared atmospheric sounding interferometertemperature profile reconstruction

Mathematics Subject Classification ID

Inverse problems in geophysics (86A22) Meteorology and atmospheric physics (86A10) Inverse problems in optimal control (49N45) Inverse problems for integral equations (45Q05)

Related Items (2)

On sequential multiscale inversion and data assimilation ⋮ Affine-invariant ensemble transform methods for logistic regression

Uses Software

• EnKF

Cites Work

• Unnamed Item
• A survey on inverse problems for applied sciences
• On instabilities in data assimilation algorithms
• Statistical and computational inverse problems.
• Exploring the need for localization in ensemble data assimilation using a hierarchical ensemble filter
• Efficient data assimilation for spatiotemporal chaos: a local ensemble transform Kalman filter
• Inverse Problems in Neural Field Theory
• The ensemble Kalman filter for combined state and parameter estimation
• Dynamic Data Assimilation
• A square root formulation of the Kalman covariance equations.

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