Journal ArticleDOI
Application of model reduced 4D-Var to a 1D ecosystem model
TLDR
In this paper, the model reduced 4D-Var (Vermeulen and Heemink, 2006 ) is investigated to test its feasibility in ecosystem application, and two experiments are conducted in a 1D ecological model.About:
This article is published in Ocean Modelling.The article was published on 2012-11-01. It has received 24 citations till now. The article focuses on the topics: Initial value problem & Linear approximation.read more
Citations
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Journal ArticleDOI
Regional Ocean Data Assimilation
TL;DR: The past 15 years of developments in regional ocean data assimilation are reviewed, with exciting recent advances in ensemble and four-dimensional variational approaches.
Journal ArticleDOI
POD/DEIM reduced-order strategies for efficient four dimensional variational data assimilation
TL;DR: POD, tensorial POD, and discrete empirical interpolation method (DEIM) are employed to develop reduced data assimilation systems for a geophysical flow model, namely, the two dimensional shallow water equations.
Journal ArticleDOI
Reviews and syntheses: parameter identification in marine planktonic ecosystem modelling
Markus Schartau,Philip Wallhead,John C. P. Hemmings,John C. P. Hemmings,Ulrike Löptien,Iris Kriest,Shubham Krishna,Ben A. Ward,Thomas Slawig,Andreas Oschlies +9 more
TL;DR: This review explores how problems in parameter identification are approached in marine planktonic ecosystem modelling, and provides background information about model uncertainties and estimation methods, and how these are considered for assessing misfits between observations and model results.
Journal ArticleDOI
The assimilation of satellite‐derived data into a one‐dimensional lower trophic level marine ecosystem model
TL;DR: In this paper, a lower trophic level model is implemented in a one-dimensional data assimilative (variational adjoint) model testbed, and a combination of experiments assimilating synthetic and actual satellite-derived data, including total chlorophyll, size-fractionated and particulate organic carbon (POC), reveal that this is an effective tool for improving simulated surface and subsurface distributions both for assimilated and unassimilated variables.
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The GIGG-EnKF: ensemble Kalman filtering for highly skewed non-negative uncertainty distributions
TL;DR: The GIGG-Ensemble Kalman Filters (GIGG) as discussed by the authors is a multivariate extension of the original EnKF that enables near-zero semi-positive-definite variables with highly skewed uncertainty distributions to be assimilated without the need for observation bias inducing log-normal or Gaussian anamorphosis nonlinear transformations.
References
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Book
Gaussian Processes for Machine Learning
TL;DR: The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics, and deals with the supervised learning problem for both regression and classification.
Journal ArticleDOI
LIII. On lines and planes of closest fit to systems of points in space
TL;DR: This paper is concerned with the construction of planes of closest fit to systems of points in space and the relationships between these planes and the planes themselves.
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Towards sustainability in world fisheries
Daniel Pauly,Villy Christensen,Sylvie Guénette,Tony J. Pitcher,U. Rashid Sumaila,Carl J. Walters,Reg Watson,Dirk Zeller +7 more
TL;DR: Zoning the oceans into unfished marine reserves and areas with limited levels of fishing effort would allow sustainable fisheries, based on resources embedded in functional, diverse ecosystems.
Book
Approximation of Large-Scale Dynamical Systems
TL;DR: This paper presents SVD-Krylov Methods and Case Studies, a monograph on model reduction using Krylov methods for linear dynamical systems, and some examples of such reduction schemes.
Journal ArticleDOI
Coastal marine eutrophication: A definition, social causes, and future concerns
TL;DR: There is a need in the marine research and management communities for a clear operational definition of the term, eutrophication, and the following are proposed: this definition is consistent with historical usage and emphasizes that eUTrophication is a process, not a trophic state.