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作者:... J. Garcia-Pintado , N.K. Nichols , P.J. Smith
来源:[J].Environmental Modelling and Software(IF 3.476), 2018, Vol.104, pp.199-214Elsevier
摘要:Abstract(#br)Accurate inundation forecasting provides vital information about the behaviour of fluvial flood water. Using data assimilation with an Ensemble Transform Kalman Filter we combine forecasts from a numerical hydrodynamic model with synthetic observations of water level...
作者:C.J. Budd , M.A. Freitag , N.K. Nichols
来源:[J].Computers and Fluids(IF 1.467), 2010, Vol.46 (1), pp.168-173Elsevier
摘要:Abstract(#br)Optimal state estimation from given observations of a dynamical system by data assimilation is generally an ill-posed inverse problem. In order to solve the problem, a standard Tikhonov, or L 2 , regularization is used, based on certain statistical assumptions on the...
作者:A.C. Lemos , M.J. Baines , N.K. Nichols
来源:[J].Computers and Fluids(IF 1.467), 2003, Vol.33 (5), pp.821-827Elsevier
摘要:Abstract(#br)We study ordinary nonlinear singular differential equations which arise from steady conservation laws with source terms. An example of steady conservation laws which leads to those scalar equations is the Saint–Venant equations. The numerical solution of these s...
作者:Guang-Ren Duan , N.K. Nichols , Guo-Ping Liu
来源:[J].European Journal of Control(IF 1.25), 2002, Vol.8 (2), pp.136-149Elsevier
摘要:The problem of eigenvalue assignment with minimum sensitivity in multivariable descriptor linear systems via state feedback is considered. Based on the perturbation theory of generalized eigenvalues of matrix pairs, the sensitivity measures of the closed-loop finite eigenvalues a...
作者:M.P. Dainton , M.H. Goldwater , N.K. Nichols
来源:[J].Journal of Computational Physics(IF 2.138), 1997, Vol.130 (2), pp.203-216Elsevier
摘要:Abstract(#br)A direct method is presented for determining the uncertainty in reservoir pressure, flow, and net present value (NPV) using the time-dependent, one phase, two- or three-dimensional equations of flow through a porous medium. The uncertainty in the solution is modelled...
作者:S. Vetra-Carvalho , S. Migliorini , N.K. Nichols
来源:[J].Computers and Fluids(IF 1.467), 2011, Vol.46 (1), pp.493-497Elsevier
摘要:Abstract(#br)In numerical weather prediction (NWP) data assimilation (DA) methods are used to combine available observations with numerical model estimates. This is done by minimising measures of error on both observations and model estimates with more weight given to data that c...
作者:Darren M. Littleboy , N.K. Nichols
来源:[J].Linear Algebra and Its Applications(IF 0.968), 1998, Vol.275, pp.359-379Elsevier
摘要:Abstract(#br)Eigenvalue assignment methods are used widely in the design of control and state-estimation systems. The corresponding eigenvectors can be selected to ensure robustness. For specific applications, eigenstructure assignment can also be applied to achieve more general ...
作者:... A.S. Lawless , N.K. Nichols , H.R. Forbes
来源:[J].Coastal Engineering(IF 2.239), 2012, Vol.69, pp.82-96Elsevier
摘要:Abstract(#br)This paper describes the implementation of a 3D variational (3D-Var) data assimilation scheme for a morphodynamic model applied to Morecambe Bay, UK. A simple decoupled hydrodynamic and sediment transport model is combined with a data assimilation scheme to inve...
作者:S.A. Haben , A.S. Lawless , N.K. Nichols
来源:[J].Computers and Fluids(IF 1.467), 2010, Vol.46 (1), pp.252-256Elsevier
摘要:Abstract(#br)Numerical weather prediction (NWP) centres use numerical models of the atmospheric flow to forecast future weather states from an estimate of the current state. Variational data assimilation (VAR) is used commonly to determine an optimal state estimate that miminizes...
作者:... A.S. Lawless , N.K. Nichols , A. Bunse-Gerstner
来源:[J].Computers and Fluids(IF 1.467), 2010, Vol.46 (1), pp.155-160Elsevier
摘要:Abstract(#br)The problem of state estimation occurs in many applications of fluid flow. For example, to produce a reliable weather forecast it is essential to find the best possible estimate of the true state of the atmosphere. To find this best estimate a nonlinear least sq...

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