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  • Journal article
    Maidment SCR, Barrett PM, 2011,

    The locomotor musculature of basal ornithischian dinosaurs

    , Journal of Vertebrate Paleontology, Vol: 31, Pages: 1265-1291
  • Journal article
    Maidment SCR, 2011,

    Comment on Stegosaurus Marsh, 1877 (Dinosauria, Ornithischia): proposed replacement of the type species with Stegosaurus stenops Marsh, 1887 (Case 3536; see BZN 68: 127-133)

    , Bulletin of Zoological Nomenclature, Vol: 68, Pages: 213-214
  • Journal article
    Barden HE, Maidment SCR, 2011,

    Evidence for sexual dimorphism in the stegosaurian dinosaur Kentrosaurus aethiopicus from the Upper Jurassic of Tanzania.

    , Journal of Vertebrate Paleontology, Vol: 31, Pages: 641-651
  • Journal article
    Maidment SCR, Barrett PM, 2011,

    A new specimen of Chasmosaurus belli (Ornithischia: Ceratopsidae), a revision of the genus, and the utility of postcrania in the taxonomy and systematics of ceratopsid dinosaurs

    , Zootaxa, Vol: 2963, Pages: 1-47
  • Journal article
    Barrett PM, Maidment SCR, 2011,

    Dinosaurs of Dorset: part III, the ornithischian dinosaurs (Dinosauria: Ornithischia) with additional comments on the sauropods

    , Proceedings of the Dorset Natural History and Archaeological Society, Vol: 132, Pages: 145-163
  • Book chapter
    Barrett PM, Maidment SCR, 2011,

    Wealden armoured dinosaurs

    , English Wealden Fossils, Editors: Batten, London, Publisher: The Palaeontological Association, Pages: 391-406
  • Journal article
    Wells MR, Allison PA, Piggott MD, Hampson GJ, Pain CC, Gorman GJet al., 2010,

    Tidal modeling of an ancient tide-dominated seaway, part 1: model validation and application to global early Cretaceous (Aptian) tides

    , Journal of Sedimentary Research, Vol: 80, Pages: 393-410, ISSN: 1527-1404
  • Journal article
    Wells MR, Allison PA, Piggott MD, Hampson GJ, Pain CC, Gorman GJet al., 2010,

    Tidal modeling of an ancient tide-dominated seaway, part 2: the Aptian Lower Greensand seaway of northwest Europe

    , Journal of Sedimentary Research, Vol: 80, Pages: 411-439, ISSN: 1527-1404
  • Journal article
    MITCHELL AJ, ULIČNÝ D, HAMPSON GJ, ALLISON PA, GORMAN GJ, PIGGOTT MD, WELLS MR, PAIN CCet al., 2010,

    Modelling tidal current-induced bed shear stress and palaeocirculation in an epicontinental seaway: the Bohemian Cretaceous Basin, Central Europe

    , Sedimentology, Vol: 57, Pages: 359-388, ISSN: 0037-0746
  • 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, 2010,

    Stegosauria: A review of the body fossil record and phylogenetic relationships

    , Swiss Journal of Geosciences, Vol: 103, Pages: 199-210
  • 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
    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
    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
    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
  • 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

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