A
Arnold Heemink
Researcher at Delft University of Technology
Publications - 173
Citations - 3824
Arnold Heemink is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Data assimilation & Kalman filter. The author has an hindex of 29, co-authored 169 publications receiving 3377 citations. Previous affiliations of Arnold Heemink include Rijkswaterstaat.
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Lagrangian ocean analysis: Fundamentals and practices
Erik van Sebille,Erik van Sebille,Stephen M. Griffies,Ryan Abernathey,Thomas P. Adams,Pavel Berloff,Arne Biastoch,Bruno Blanke,Eric P. Chassignet,Yu Cheng,Colin J. Cotter,Eric Deleersnijder,Eric Deleersnijder,Kristofer Döös,Henri F. Drake,Henri F. Drake,Sybren Drijfhout,Stefan F. Gary,Arnold Heemink,Joakim Kjellsson,Joakim Kjellsson,Inga Monika Koszalka,Michael Lange,Camille Lique,G. A. MacGilchrist,Robert Marsh,C. Gabriela Mayorga Adame,Ronan McAdam,Francesco Nencioli,Claire B. Paris,Matthew D. Piggott,Jeff A. Polton,Siren Rühs,Syed Hyder Ali Muttaqi Shah,Syed Hyder Ali Muttaqi Shah,Matthew D. Thomas,Jinbo Wang,Phillip J. Wolfram,Laure Zanna,Jan D. Zika,Jan D. Zika +40 more
TL;DR: Lagrangian analysis is a powerful way to analyse the output of ocean circulation models and other ocean velocity data such as from altimetry as mentioned in this paper, where large sets of virtual particles are integrated within the 3D, time-evolving velocity fields.
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Tidal flow forecasting using reduced rank square root filters
Martin Verlaan,Arnold Heemink +1 more
TL;DR: By introducing a finite difference approximation to the Reduced Rank Square Root algorithm it is possible to prevent the use of a tangent linear model for the propagation of the error covariance, which poses a large implementational effort in case an extended kalman filter is used.
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Variance reduced ensemble Kalman filtering
TL;DR: The authors propose to combine the two algorithms and to use a reduced-rank approximation of the covariance matrix as a variance reductor for the ensemble Kalman filter.
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Residence time in a semi-enclosed domain from the solution of an adjoint problem
TL;DR: In this paper, a general method for computing the residence time and/or the mean residence time without such simplifying hypotheses is introduced, based on the resolution of an adjoint advection-diffusion problem and is therefore primarily meant to be used with numerical models.
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Comparison of Control Strategies for Dividing-Wall Columns
TL;DR: In this article, the authors explore the controllability of dividing wall columns (DWC) and make a comparison of various control strategies based on PID loops, within a multiloop framework (DB/LSV, DV/LSB, LB/DSV, LV/DSB).