A note on domain decomposition approaches for solving 3D variational data assimilation models
Sign Up to like & getrecommendations! Published in 2019 at "Ricerche di Matematica"
DOI: 10.1007/s11587-019-00432-4
Abstract: Data assimilation (DA) is a methodology for combining mathematical models simulating complex systems (the background knowledge) and measurements (the reality or observational data) in order to improve the estimate of the system state (the forecast).… read more here.
Keywords: assimilation; note domain; data assimilation; variational data ... See more keywords
i4DVar: An Integral Correcting Four‐Dimensional Variational Data Assimilation Method
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DOI: 10.1029/2021ea001767
Abstract: Four‐dimensional variational data assimilation (4DVar) has become an increasingly important tool in data science with wide applications in many engineering and scientific fields. The current state‐of‐the‐art 4DVar offers only two choices in incorporating the forecast… read more here.
Keywords: variational data; assimilation; four dimensional; integral correcting ... See more keywords
Sensitivity with respect to observations in variational data assimilation
Sign Up to like & getrecommendations! Published in 2017 at "Russian Journal of Numerical Analysis and Mathematical Modelling"
DOI: 10.1515/rnam-2017-0006
Abstract: Abstract The problem of variational data assimilation for a nonlinear evolution model is formulated as an optimal control problem to find the initial condition function (analysis). The observation data, and hence the optimal solution, may… read more here.
Keywords: assimilation; variational data; data assimilation; function ... See more keywords
Hybridizing Bayesian and variational data assimilation for high-resolution hydrologic forecasting
Sign Up to like & getrecommendations! Published in 2018 at "Hydrology and Earth System Sciences"
DOI: 10.5194/hess-22-5759-2018
Abstract: Abstract. The success of real-time estimation and forecasting applications based on geophysical models has been possible thanks to the two main existing frameworks for the determination of the models' initial conditions: Bayesian data assimilation and variational… read more here.
Keywords: resolution; high resolution; hydrology; variational data ... See more keywords