Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.154 IF 5.154
  • IF 5-year value: 5.697 IF 5-year
    5.697
  • CiteScore value: 5.56 CiteScore
    5.56
  • SNIP value: 1.761 SNIP 1.761
  • IPP value: 5.30 IPP 5.30
  • SJR value: 3.164 SJR 3.164
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 59 Scimago H
    index 59
  • h5-index value: 49 h5-index 49
Volume 9, issue 10
Geosci. Model Dev., 9, 3803-3815, 2016
https://doi.org/10.5194/gmd-9-3803-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: The Firedrake automatic code generation system

Geosci. Model Dev., 9, 3803-3815, 2016
https://doi.org/10.5194/gmd-9-3803-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Development and technical paper 27 Oct 2016

Development and technical paper | 27 Oct 2016

A structure-exploiting numbering algorithm for finite elements on extruded meshes, and its performance evaluation in Firedrake

Gheorghe-Teodor Bercea et al.
Related authors  
Slate: extending Firedrake's domain-specific abstraction to hybridized solvers for geoscience and beyond
Thomas H. Gibson, Lawrence Mitchell, David A. Ham, and Colin J. Cotter
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-86,https://doi.org/10.5194/gmd-2019-86, 2019
Manuscript under review for GMD
Short summary
Devito (v3.1.0): an embedded domain-specific language for finite differences and geophysical exploration
Mathias Louboutin, Michael Lange, Fabio Luporini, Navjot Kukreja, Philipp A. Witte, Felix J. Herrmann, Paulius Velesko, and Gerard J. Gorman
Geosci. Model Dev., 12, 1165-1187, https://doi.org/10.5194/gmd-12-1165-2019,https://doi.org/10.5194/gmd-12-1165-2019, 2019
Short summary
Thetis coastal ocean model: discontinuous Galerkin discretization for the three-dimensional hydrostatic equations
Tuomas Kärnä, Stephan C. Kramer, Lawrence Mitchell, David A. Ham, Matthew D. Piggott, and António M. Baptista
Geosci. Model Dev., 11, 4359-4382, https://doi.org/10.5194/gmd-11-4359-2018,https://doi.org/10.5194/gmd-11-4359-2018, 2018
Short summary
Adapting to life: ocean biogeochemical modelling and adaptive remeshing
J. Hill, E. E. Popova, D. A. Ham, M. D. Piggott, and M. Srokosz
Ocean Sci., 10, 323-343, https://doi.org/10.5194/os-10-323-2014,https://doi.org/10.5194/os-10-323-2014, 2014
Automating the solution of PDEs on the sphere and other manifolds in FEniCS 1.2
M. E. Rognes, D. A. Ham, C. J. Cotter, and A. T. T. McRae
Geosci. Model Dev., 6, 2099-2119, https://doi.org/10.5194/gmd-6-2099-2013,https://doi.org/10.5194/gmd-6-2099-2013, 2013
Related subject area  
Numerical Methods
LSCE-FFNN-v1: a two-step neural network model for the reconstruction of surface ocean pCO2 over the global ocean
Anna Denvil-Sommer, Marion Gehlen, Mathieu Vrac, and Carlos Mejia
Geosci. Model Dev., 12, 2091-2105, https://doi.org/10.5194/gmd-12-2091-2019,https://doi.org/10.5194/gmd-12-2091-2019, 2019
Short summary
FESOM-C v.2: coastal dynamics on hybrid unstructured meshes
Alexey Androsov, Vera Fofonova, Ivan Kuznetsov, Sergey Danilov, Natalja Rakowsky, Sven Harig, Holger Brix, and Karen Helen Wiltshire
Geosci. Model Dev., 12, 1009-1028, https://doi.org/10.5194/gmd-12-1009-2019,https://doi.org/10.5194/gmd-12-1009-2019, 2019
Short summary
A new method (M3Fusion v1) for combining observations and multiple model output for an improved estimate of the global surface ozone distribution
Kai-Lan Chang, Owen R. Cooper, J. Jason West, Marc L. Serre, Martin G. Schultz, Meiyun Lin, Virginie Marécal, Béatrice Josse, Makoto Deushi, Kengo Sudo, Junhua Liu, and Christoph A. Keller
Geosci. Model Dev., 12, 955-978, https://doi.org/10.5194/gmd-12-955-2019,https://doi.org/10.5194/gmd-12-955-2019, 2019
Short summary
DCMIP2016: the splitting supercell test case
Colin M. Zarzycki, Christiane Jablonowski, James Kent, Peter H. Lauritzen, Ramachandran Nair, Kevin A. Reed, Paul A. Ullrich, David M. Hall, Mark A. Taylor, Don Dazlich, Ross Heikes, Celal Konor, David Randall, Xi Chen, Lucas Harris, Marco Giorgetta, Daniel Reinert, Christian Kühnlein, Robert Walko, Vivian Lee, Abdessamad Qaddouri, Monique Tanguay, Hiroaki Miura, Tomoki Ohno, Ryuji Yoshida, Sang-Hun Park, Joseph B. Klemp, and William C. Skamarock
Geosci. Model Dev., 12, 879-892, https://doi.org/10.5194/gmd-12-879-2019,https://doi.org/10.5194/gmd-12-879-2019, 2019
Short summary
FVM 1.0: a nonhydrostatic finite-volume dynamical core for the IFS
Christian Kühnlein, Willem Deconinck, Rupert Klein, Sylvie Malardel, Zbigniew P. Piotrowski, Piotr K. Smolarkiewicz, Joanna Szmelter, and Nils P. Wedi
Geosci. Model Dev., 12, 651-676, https://doi.org/10.5194/gmd-12-651-2019,https://doi.org/10.5194/gmd-12-651-2019, 2019
Short summary
Cited articles  
Bercea, G.-T.: Unstructured meshes for extrusion article, https://doi.org/10.5281/zenodo.61819, 2016a.
Bercea, G.-T.: Data and plot scripts for Haswell experiments, https://doi.org/10.5281/zenodo.61919, 2016b.
Bercea, G.-T.: Data and plot scripts for Sandy Bridge experiments, https://doi.org/10.5281/zenodo.61920, 2016c.
COFFEE: A Compiler for Fast Expression Evaluation, https://doi.org/10.5281/zenodo.47715, 2016.
FFC: FEniCS Form Compiler, https://doi.org/10.5281/zenodo.47761, 2016.
Publications Copernicus
Download
Short summary
Unstructured meshes offer flexibility but are perceived as slow. Some applications, including atmosphere or ocean simulations, admit an extruded mesh: the horizontal mesh may be unstructured, but the vertical dimension can be traversed in a structured way. By extending the Firedrake automated simulation framework to this case, we show that an extruded mesh can be traversed as fast as a structured mesh. This paves the way for highly efficient unstructured mesh models of the ocean and atmosphere.
Unstructured meshes offer flexibility but are perceived as slow. Some applications, including...
Citation