A Practical Method to Estimate Information Content in the Context of 4D-Var Data Assimilation

DOI10.1137/120884523zbMath1283.65009OpenAlexW2045792606MaRDI QIDQ5397866

No author found.

Publication date: 25 February 2014

Published in: SIAM/ASA Journal on Uncertainty Quantification (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/120884523

zbMATH Keywords

information theorydata assimilationinformation content

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Geostatistics (86A32) Measures of information, entropy (94A17)

Related Items (4)

Normal-Mode Functions and Atmospheric Data Assimilation ⋮ An optimization framework to improve 4D-Var data assimilation system performance ⋮ Towards Practical Large-Scale Randomized Iterative Least Squares Solvers through Uncertainty Quantification ⋮ Solving parameter estimation problems with discrete adjoint exponential integrators

This page was built for publication: A Practical Method to Estimate Information Content in the Context of 4D-Var Data Assimilation