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  • Journal article
    Mitchell AJ, Allison PA, Piggott MD, Gorman GJ, Pain CC, Hampson GJet al., 2010,

    Numerical modelling of tsunami propagation with implications for sedimentation in ancient epicontinental seas: the Lower Jurassic Laurasian Seaway

    , Journal of Sedimentary Geology, Vol: 228, Pages: 81-97, ISSN: 0037-0738
  • Journal article
    Maidment SCR, Porro LB, 2010,

    Homology of the palpebral and origin of the supraorbital ossifications in ornithischian dinosaurs

    , Lethaia, Vol: 43, Pages: 95-111
  • Journal article
    Garwood R, Dunlop JA, Sutton MD, 2009,

    High-fidelity X-ray microtomography reconstruction of siderite-hosted Carboniferous arachnids

    , BIOLOGY LETTERS, Vol: 5, Pages: 841-844, ISSN: 1744-9561
  • Journal article
    Rahman IA, Sutton MD, Bell MA, 2009,

    Evaluating phylogenetic hypotheses of carpoids using stratigraphic congruence indices

    , LETHAIA, Vol: 42, Pages: 424-437, ISSN: 0024-1164
  • Journal article
    Fang F, Pain CC, Navon IM, Gorman GJ, Piggott MD, Allison PA, Goddard AJHet al., 2009,

    A POD goal-oriented error measure for mesh optimization

    , International Journal for Numerical Methods in Fluids, Vol: 63, Pages: 185-206, ISSN: 1097-0363

    The approach for designing an error measure to guide an adaptive meshing algorithm proposed in Power et al. (Ocean Modell. 2006; 15:3-38) is extended to use a POD adjoint-based method, thus facilitating efficient primal and adjoint integration in time. The aim is to obtain a new mesh that can adequately resolve all the fields at all time levels, with optimal (w.r.t. the functional) efficiency. The goal-based method solves both the primal and adjoint equations to form the overall error norms, in the form of a metric tensor. The tetrahedral elements are then optimized so that they have unit size in Riemannian space defined with respect to the metric tensor.This is the first attempt to use POD to estimate an anisotropic error measure. The metric tensor field can be used to direct anisotropic mesh adaptivity. The resulting mesh is optimized to efficiently represent the solution fields over a given time period. The calculation of the error measures is carried out in the reduced space. The POD approach facilitates efficient integration backwards in time and yields the sensitivity analysis necessary for the goal-based error estimates. The accuracy of both the primal and adjoint-reduced models is thus optimized (through the use of anisotropic mesh adaptivity). In addition, the functional for optimizing meshes has been designed to be consistent with that for 4D Var data assimilation.
  • Journal article
    Fang F, Pain CC, Navon IM, Piggott MD, Gorman GJ, Allison PA, Goddard AJHet al., 2009,

    Reduced-order modelling of an adaptive mesh ocean model

    , INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS, Vol: 59, Pages: 827-851
  • Journal article
    Fang F, Pain CC, Navon IM, Gorman GJ, Piggott MD, Allison PA, Farrell P, Goddard AJHet al., 2009,

    A POD reduced order unstructured mesh ocean modelling method for moderate Reynolds number flows

    , Ocean Modelling, Vol: 28, Pages: 127-136, ISSN: 1463-5003
  • Journal article
    Fang F, Pain CC, Navon IM, Piggott MD, Gorman GJ, Farrell PE, Allison PA, Goddard AJHet al., 2009,

    A POD reduced-order 4D-Var adaptive mesh ocean modelling approach

    , Int. J. Numer. Meth. Fluids, Vol: 60, Pages: 709-732

    This paper presents a novel approach for inverting a complex ocean model via a proper orthogonal decomposition. The inversion is achieved through the construction of an adjoint model and used to assimilate data in a similar manner to that used in weather forecasting. This is an incredibly important capability for an ocean model, however it is both complex to construct and also can be computationally expensive. The approach proposed here addresses both of these important issues by constructing an efficient and easy to compute adjoint directly from the reduced order model. The approach is demonstrated by inverting for initial conditions in an ocean gyre simulation. The methodology proposed here led directly to the award of a £1M EPSRC grant (EP/I00405X) to develop reduced order and adjoint models for coastal oceanography. Cited 11 times.
  • Journal article
    Mateus O, Maidment SCR, Christiansen NA, 2009,

    A new long-necked 'sauropod-mimic' stegosaur and the evolution of the plated dinosaurs

    , Proceedings of the Royal Society B: Biological Sciences, Vol: 276, Pages: 1815-1821
  • Journal article
    Selden PA, Shear WA, Sutton MD, 2008,

    Fossil evidence for the origin of spider spinnerets, and a proposed arachnid order

    , PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, Vol: 105, Pages: 20781-20785, ISSN: 0027-8424
  • Journal article
    Maidment SCR, Norman DB, Barrett PM, Upchurch Pet al., 2008,

    SYSTEMATICS AND PHYLOGENY OF STEGOSAURIA (DINOSAURIA: ORNITHISCHIA)

    , JOURNAL OF SYSTEMATIC PALAEONTOLOGY, Vol: 6, Pages: 367-407, ISSN: 1477-2019
  • Journal article
    Gorman GJ, Piggott MD, Wells MR, Pain CC, Allison PAet al., 2008,

    A systematic approach to unstructured mesh generation for ocean modelling using GMT and Terreno

    , Computers & Geosciences, Vol: 34, Pages: 1721-1731, ISSN: 0098-3004

    A systematic approach to unstructured mesh generation for ocean modelling is presented. The method optimises unstructured meshes to approximate bathymetry to a user specified accuracy which may be defined as a function of longitude, latitude and bathymetry. GMT (Generic Mapping Tools) is used to perform the initial griding of the bathymetric data. Subsequently, the Terreno meshing package combines automated shoreline approximation, mesh gradation and optimisation methods to generate high-quality bathymetric meshes. The operation of Terreno is based upon clearly defined error measures and this facilitates the automation of unstructured mesh generation while minimising user intervention and the subjectivity that this can introduce.
  • Journal article
    Wells MR, Allison PA, Hampson GJ, Piggott MD, Pain CC, Dodman Aet al., 2008,

    Investigating tides in the Early Pennsylvanian Seaway of NW Eurasia using the Imperial College Ocean Model

    , Geological Association of Canada Special Paper, Vol: 48, Pages: 363-387, ISSN: 0072-1042
  • Journal article
    Sutton MD, 2008,

    Tomographic techniques for the study of exceptionally preserved fossils

    , PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, Vol: 275, Pages: 1587-1593, ISSN: 0962-8452
  • Journal article
    Piggott MD, Gorman GJ, Pain CC, Allison PA, Candy AS, Martin BT, Wells MRet al., 2008,

    A new computational framework for multi-scale ocean modelling based on adapting unstructured meshes

    , International Journal for Numerical Methods in Fluids, Vol: 56, Pages: 1003-1015
  • Conference paper
    Piggott MD, Gorman GJ, Pain CC, Allison PA, Candy AS, Martin BT, Wells MRet al., 2008,

    A new computational framework for multi-scale ocean modelling based on adapting unstructured meshes

    , 9th ICFD Conference on Numerical Methods for Fluid Dynamics, Pages: 1003-1015

    A new modelling framework is presented for application to a range of three-dimensional (3D) multi-scale oceanographic problems. The approach is based upon a finite element discretization on an unstructured tetrahedral mesh which is optimized to represent highly complex geometries. Throughout a simulation the mesh is dynamically adapted in 3D to optimize the representation of evolving solution structures. The adaptive algorithm makes use of anisotropic measures of solution complexity and a load-balanced parallel mesh optimization algorithm to vary resolution and allow long, thin elements to align with features such as boundary layers. The modelling framework presented is quite different from the majority of ocean models in use today, which are typically based on static-structured grids. Finite element (and volume) methods on unstructured meshes are, however, gaining popularity in the oceanographic community. The model presented here is novel in its use of unstructured meshes and anisotropic adaptivity in 3D, its ability to represent a range of coupled multi-scale solution structures and to simulate non-hydrostatic dynamics. Copyright (C) 2007 John Wiley & Sons, Ltd.
  • Journal article
    Sutton MD, Briggs DEG, Siveter DJ, Siveter DJet al., 2008,

    Pedicle preservation in a Silurian rhynchonelliformean brachiopod from Herefordshire, England: soft-tissue or an artefact of interpretation? A Reply

    , EARTH AND ENVIRONMENTAL SCIENCE TRANSACTIONS OF THE ROYAL SOCIETY OF EDINBURGH, Vol: 98, Pages: 309-310, ISSN: 1755-6910
  • Journal article
    Maidment SCR, Norman DB, Barrett PM, Upchurch Pet al., 2008,

    Systematics and phylogeny of Stegosauria (Dinosauria: Ornithischia)

    , Journal of Systematic Palaeontology, Vol: 6, Pages: 364-407
  • Journal article
    Sigwart JD, Sutton MD, 2007,

    Deep molluscan phylogeny: synthesis of palaeontological and neontological data

    , PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, Vol: 274, Pages: 2413-2419, ISSN: 0962-8452
  • Journal article
    Siveter DJ, Fortey RA, Sutton MD, Briggs DEG, Siveter DJet al., 2007,

    A silurian 'marrellomorph' arthropod

    , PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, Vol: 274, Pages: 2223-2229, ISSN: 0962-8452

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