A penalized four‐dimensional variational data assimilation method for reducing forecast error related to adaptive observations

DOI10.1002/FLD.2736zbMath1412.86004OpenAlexW1704913458MaRDI QIDQ5376807

M. J. Hossen, Fangxin Fang, I. Michael Navon

Publication date: 20 May 2019

Published in: International Journal for Numerical Methods in Fluids (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/fld.2736

zbMATH Keywords

optimizationvariational methodfinite volumeinverseshallow waterforecast error

Mathematics Subject Classification ID

Finite volume methods applied to problems in fluid mechanics (76M12) Meteorology and atmospheric physics (86A10) Finite volume methods for boundary value problems involving PDEs (65N08)

Related Items (2)

A time-parallel approach to strong-constraint four-dimensional variational data assimilation ⋮ Inverse problem for determining free parameters of a reduced turbulent transport model for tokamak plasma

This page was built for publication: A penalized four‐dimensional variational data assimilation method for reducing forecast error related to adaptive observations