Observation targeting with a second-order adjoint method for increased predictability

DOI10.1007/s10596-010-9217-zzbMath1254.86020OpenAlexW2055912769MaRDI QIDQ695706

Dacian N. Daescu, Humberto C. Godinez

Publication date: 17 December 2012

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

Full work available at URL: https://doi.org/10.1007/s10596-010-9217-z

zbMATH Keywords

targeting strategiesdata assimilation4D-varsecond-order adjoint

Mathematics Subject Classification ID

Inverse problems in geophysics (86A22) Perturbations in context of PDEs (35B20) Numerical methods for inverse problems for initial value and initial-boundary value problems involving PDEs (65M32) PDEs in connection with geophysics (35Q86)

Related Items (2)

Low-rank approximations for computing observation impact in 4D-Var data assimilation ⋮ Linear and nonlinear sensor placement strategies for mean-flow reconstruction via data assimilation

Uses Software

• EnKF
• L-BFGS
• ARPACK
• TAMC
• TAF

Cites Work

• Unnamed Item
• On the limited memory BFGS method for large scale optimization
• Analysis of the Turkel-Zwas scheme for the two-dimensional shallow water equations in spherical coordinates
• Ensemble forecasting
• Efficiency of a POD-based reduced second-order adjoint model in 4D-Var data assimilation
• Matrix Analysis
• Recipes for adjoint code construction
• ARPACK Users' Guide
• Dynamic Data Assimilation
• Data Assimilation

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