Dynamic Data Assimilation
From MaRDI portal
Publication:5480776
DOI10.1017/CBO9780511526480zbMath1268.62003OpenAlexW4211155642MaRDI QIDQ5480776
John M. Lewis, S. Lakshmivarahan, Sudarshan K. Dhall
Publication date: 4 August 2006
Full work available at URL: https://doi.org/10.1017/cbo9780511526480
Inference from stochastic processes and prediction (62M20) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) Research exposition (monographs, survey articles) pertaining to statistics (62-02)
Related Items
Estimation of near surface wind speeds in strongly rotating flows ⋮ Shape optimisation for a stochastic two-dimensional cylinder wake using ensemble variation ⋮ Reconstruction of unsteady viscous flows using data assimilation schemes ⋮ Analysis of the Ensemble and Polynomial Chaos Kalman Filters in Bayesian Inverse Problems ⋮ A regularized pairwise multi-classification knowledge-based machine and applications ⋮ An optimization framework to improve 4D-Var data assimilation system performance ⋮ Data assimilation and sampling in Banach spaces ⋮ Path differentiability of ODE flows ⋮ Real-time thermoacoustic data assimilation ⋮ Optimal sensor placement for variational data assimilation of unsteady flows past a rotationally oscillating cylinder ⋮ Identification of strength and location of stationary point source of atmospheric pollutant in urban conditions using computational fluid dynamics model ⋮ Estimation of spatially varying parameters with application to hyperbolic SPDEs ⋮ Fast derivatives of likelihood functionals for ODE based models using adjoint-state method ⋮ Blending machine learning and sequential data assimilation over latent spaces for surrogate modeling of Boussinesq systems ⋮ Observers for Compressible Navier--Stokes Equation ⋮ Robust weighted kernel logistic regression in imbalanced and rare events data ⋮ Reduced-rank unscented Kalman filtering using Cholesky-based decomposition ⋮ Kriging-enhanced ensemble variational data assimilation for scalar-source identification in turbulent environments ⋮ A three‐dimensional numerical internal tidal model involving adjoint method ⋮ A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction ⋮ A dynamical systems framework for intermittent data assimilation ⋮ Improvement of source and wind field input of atmospheric dispersion model by assimilation of concentration measurements: method and applications in idealized settings ⋮ Observation targeting with a second-order adjoint method for increased predictability ⋮ On instabilities in data assimilation algorithms ⋮ Effect of discrete time observations on synchronization in Chua model and applications to data assimilation ⋮ Space-time adaptive approach to variational data assimilation using wavelets ⋮ Approximate Gauss–Newton methods for optimal state estimation using reduced‐order models ⋮ Functional Regression for State Prediction Using Linear PDE Models and Observations ⋮ Linear and nonlinear sensor placement strategies for mean-flow reconstruction via data assimilation ⋮ Transformed and generalized localization for ensemble methods in data assimilation ⋮ Gaussian functional regression for linear partial differential equations ⋮ A nonintrusive hybrid neural-physics modeling of incomplete dynamical systems: Lorenz equations ⋮ Comparison of sequential data assimilation methods for the Kuramoto-Sivashinsky equation ⋮ A Limited-Memory Multiple Shooting Method for Weakly Constrained Variational Data Assimilation ⋮ A hybrid assimilation scheme for characterization of three-phase flow in porous media ⋮ Bayesian Inverse Problems and Kalman Filters ⋮ A data-driven kernel method assimilation technique for geophysical modelling ⋮ Data Assimilation in Reduced Modeling ⋮ Accuracy controlled data assimilation for parabolic problems
Uses Software
