var bibbase_data = {"data":"\"Loading..\"\n\n
\n\n \n\n \n\n \n \n\n \n\n \n \n\n \n\n \n
\n generated by\n \n \"bibbase.org\"\n\n \n
\n \n\n
\n\n \n\n\n
\n\n Excellent! Next you can\n create a new website with this list, or\n embed it in an existing web page by copying & pasting\n any of the following snippets.\n\n
\n JavaScript\n (easiest)\n
\n \n <script src=\"https://bibbase.org/show?bib=https://raw.githubusercontent.com/EnvModellingGroup/EnvModellingGroup.github.io/master/publications.bib&jsonp=1&jsonp=1\"></script>\n \n
\n\n PHP\n
\n \n <?php\n $contents = file_get_contents(\"https://bibbase.org/show?bib=https://raw.githubusercontent.com/EnvModellingGroup/EnvModellingGroup.github.io/master/publications.bib&jsonp=1\");\n print_r($contents);\n ?>\n \n
\n\n iFrame\n (not recommended)\n
\n \n <iframe src=\"https://bibbase.org/show?bib=https://raw.githubusercontent.com/EnvModellingGroup/EnvModellingGroup.github.io/master/publications.bib&jsonp=1\"></iframe>\n \n
\n\n

\n For more details see the documention.\n

\n
\n
\n\n
\n\n This is a preview! To use this list on your own web site\n or create a new web site from it,\n create a free account. The file will be added\n and you will be able to edit it in the File Manager.\n We will show you instructions once you've created your account.\n
\n\n
\n\n

To the site owner:

\n\n

Action required! Mendeley is changing its\n API. In order to keep using Mendeley with BibBase past April\n 14th, you need to:\n

    \n
  1. renew the authorization for BibBase on Mendeley, and
  2. \n
  3. update the BibBase URL\n in your page the same way you did when you initially set up\n this page.\n
  4. \n
\n

\n\n

\n \n \n Fix it now\n

\n
\n\n
\n\n\n
\n \n \n
\n
\n  \n 2023\n \n \n (2)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n On the varied impact of the Storegga tsunami in northwest Scotland.\n \n \n \n\n\n \n Woodroffe, S. A; Hill, J.; Bustamante-Fernandez, E.; Lloyd, J. M; Luff, J.; Richards, S.; and Shennan, I.\n\n\n \n\n\n\n Journal of Quaternary Science. May 2023.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@ARTICLE{Woodroffe2023-cp,\n  title     = "{On the varied impact of the Storegga tsunami in northwest\n               Scotland}",\n  author    = "Woodroffe, Sarah A and Hill, Jon and Bustamante-Fernandez,\n               Emmanuel and Lloyd, Jerry M and Luff, Jake and Richards, Sarah\n               and Shennan, Ian",\n  journal   = "Journal of Quaternary Science",\n  publisher = "Wiley",\n  month     =  may,\n  year      =  2023,\n  copyright = "http://creativecommons.org/licenses/by/4.0/",\n  language  = "en",\n  issn      = "0267-8179, 1099-1417",\n  doi       = "10.1002/jqs.3539"\n}\n\n% The entry below contains non-ASCII chars that could not be converted\n% to a LaTeX equivalent.\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Resolving tsunami wave dynamics: integrating sedimentology and numerical modelling.\n \n \n \n\n\n \n Hill, J.; Rush, G.; Peakall, J.; Johnson, M.; Hodson, L.; Barlow, N. L M; Bowman, E. T; Gehrels, W R.; Hodgson, D. M; and Kesserwani, G.\n\n\n \n\n\n\n The depositional record. August 2023.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@ARTICLE{Hill2023-se,\n  title     = "{Resolving tsunami wave dynamics: integrating sedimentology and\n               numerical modelling}",\n  author    = "Hill, Jon and Rush, Graham and Peakall, Jeff and Johnson,\n               Michael and Hodson, Luke and Barlow, Natasha L M and Bowman,\n               Elisabeth T and Gehrels, W Roland and Hodgson, David M and\n               Kesserwani, Georges",\n  journal   = "The depositional record",\n  publisher = "Wiley",\n  month     =  aug,\n  year      =  2023,\n  copyright = "http://creativecommons.org/licenses/by/4.0/",\n  language  = "en",\n  issn      = "2055-4877",\n  doi       = "10.1002/dep2.247"\n}\n\n\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2022\n \n \n (3)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Tidal dynamics drive ooid formation in the Capricorn Channel since the Last Glacial Maximum.\n \n \n \n\n\n \n Lee, K. C; Webster, J. M; Salles, T.; Mawson, E. E; and Hill, J.\n\n\n \n\n\n\n Marine geology,106944. November 2022.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@ARTICLE{Lee2022-sx,\n  title    = "{Tidal dynamics drive ooid formation in the Capricorn Channel\n              since the Last Glacial Maximum}",\n  author   = "Lee, Katherine C and Webster, Jody M and Salles, Tristan and\n              Mawson, Eleanor E and Hill, Jon",\n  journal  = "Marine geology",\n  pages    = "106944",\n  month    =  nov,\n  year     =  2022,\n  keywords = "Numerical model; Palaeotides; Sediment; Great Barrier Reef; Ooids",\n  issn     = "0025-3227",\n  doi      = "10.1016/j.margeo.2022.106944"\n}\n\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Sea-level change, palaeotidal modelling and hominin dispersals: The case of the southern Red Sea.\n \n \n \n \n\n\n \n Hill, J.; Avdis, A.; Bailey, G.; and Lambeck, K.\n\n\n \n\n\n\n Quaternary Science Reviews, 293: 107719. 2022.\n \n\n\n\n
\n\n\n\n \n \n \"Sea-levelPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@article{HILL2022107719,\ntitle = {Sea-level change, palaeotidal modelling and hominin dispersals: The case of the southern Red Sea},\njournal = {Quaternary Science Reviews},\nvolume = {293},\npages = {107719},\nyear = {2022},\nissn = {0277-3791},\ndoi = {https://doi.org/10.1016/j.quascirev.2022.107719},\nurl = {https://www.sciencedirect.com/science/article/pii/S027737912200350X},\nauthor = {Jon Hill and Alexandros Avdis and Geoff Bailey and Kurt Lambeck},\nkeywords = {Sea-level change, Shoreline reconstruction, Tidal modelling, Simulation, Hominin dispersal},\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Sea level rise and the Great Barrier Reef the future implications on reef tidal dynamics.\n \n \n \n\n\n \n Mawson, E. E; Lee, K. C; and Hill, J.\n\n\n \n\n\n\n Journal of Geophysical Research, C: Oceans. 2022.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@ARTICLE{Mawson2022-ni,\n  title     = "{Sea level rise and the Great Barrier Reef the future\n               implications on reef tidal dynamics}",\n  author    = "Mawson, Eleanor E and Lee, Katherine C and Hill, Jon",\n  journal   = "Journal of Geophysical Research, C: Oceans",\n  publisher = "American Geophysical Union (AGU)",\n  year      =  2022,\n  language  = "en",\n  issn      = "2169-9275, 2169-9291",\n  doi       = "10.1029/2021jc017823"\n}\n\n\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2021\n \n \n (3)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Prediction of shoreline–shelf depositional process regime guided by palaeotidal modelling.\n \n \n \n \n\n\n \n Collins, D. S.; Avdis, A.; Wells, M. R.; Dean, C. D.; Mitchell, A. J.; Allison, P. A.; Johnson, H. D.; Hampson, G. J.; Hill, J.; and Piggott, M. D.\n\n\n \n\n\n\n Earth-Science Reviews, 223: 103827. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"PredictionPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@article{COLLINS2021103827,\ntitle = {Prediction of shoreline–shelf depositional process regime guided by palaeotidal modelling},\njournal = {Earth-Science Reviews},\nvolume = {223},\npages = {103827},\nyear = {2021},\nissn = {0012-8252},\ndoi = {https://doi.org/10.1016/j.earscirev.2021.103827},\nurl = {https://www.sciencedirect.com/science/article/pii/S0012825221003287},\nauthor = {Daniel S. Collins and Alexandros Avdis and Martin R. Wells and Christopher D. Dean and Andrew J. Mitchell and Peter A. Allison and Howard D. Johnson and Gary J. Hampson and Jon Hill and Matthew D. Piggott},\nkeywords = {Shoreline, Shelf, Delta, Wave, Tide, Fluvial, Process regime, Numerical modelling, Palaeotidal},\n\n}\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Detailing the impact of the Storegga Tsunami at Montrose, Scotland.\n \n \n \n\n\n \n Bateman, M. D; Kinnaird, T. C; Hill, J.; Ashurst, R. A; Mohan, J.; Bateman, R. B I; and Robinson, R.\n\n\n \n\n\n\n Boreas, (bor.12532). June 2021.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@ARTICLE{Bateman2021-mj,\n  title     = "{Detailing the impact of the Storegga Tsunami at Montrose,\n               Scotland}",\n  author    = "Bateman, Mark D and Kinnaird, Tim C and Hill, Jon and Ashurst,\n               Robert A and Mohan, Jenna and Bateman, Rebecca B I and Robinson,\n               Ruth",\n  journal   = "Boreas",\n  publisher = "Wiley",\n  number    = "bor.12532",\n  month     =  jun,\n  year      =  2021,\n  language  = "en",\n  issn      = "0300-9483, 1502-3885",\n  doi       = "10.1111/bor.12532"\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Morphodynamic Controls for Growth and Evolution of a Rubble Coral Island.\n \n \n \n\n\n \n Talavera, L.; Vila-Concejo, A.; Webster, J. M; Smith, C.; Duce, S.; Fellowes, T. E; Salles, T.; Harris, D.; Hill, J.; Figueira, W.; and Hacker, J.\n\n\n \n\n\n\n Remote Sensing, 13(8): 1582. April 2021.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@ARTICLE{Talavera2021-lw,\n  title     = "{Morphodynamic Controls for Growth and Evolution of a Rubble\n               Coral Island}",\n  author    = "Talavera, Lara and Vila-Concejo, Ana and Webster, Jody M and\n               Smith, Courtney and Duce, Stephanie and Fellowes, Thomas E and\n               Salles, Tristan and Harris, Daniel and Hill, Jon and Figueira,\n               Will and Hacker, J{\\"o}rg",\n  journal   = "Remote Sensing",\n  publisher = "Multidisciplinary Digital Publishing Institute",\n  volume    =  13,\n  number    =  8,\n  pages     = "1582",\n  month     =  apr,\n  year      =  2021,\n  language  = "en",\n  doi       = "10.3390/rs13081582"\n}\n\n\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2020\n \n \n (3)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n A new methodology for performing large scale simulations of tsunami generated by deformable submarine slides.\n \n \n \n\n\n \n Smith, R. C; Hill, J.; Mouradian, S. L; Piggott, M. D; and Collins, G. S\n\n\n \n\n\n\n Ocean Modelling,101674. July 2020.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@ARTICLE{Smith2020-om,\n  title    = "{A new methodology for performing large scale simulations of\n              tsunami generated by deformable submarine slides}",\n  author   = "Smith, Rebecca C and Hill, Jon and Mouradian, Simon L and\n              Piggott, Matthew D and Collins, Gareth S",\n  journal  = "Ocean Modelling",\n  pages    = "101674",\n  month    =  jul,\n  year     =  2020,\n  keywords = "Submarine slide; Tsunami; Numerical modelling; Landslides",\n  issn     = "1463-5003",\n  doi      = "10.1016/j.ocemod.2020.101674"\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Modelling the impact of tidal range energy on species communities.\n \n \n \n\n\n \n Baker, A. L; Craighead, R. M; Jarvis, E. J; Stenton, H. C; Angeloudis, A.; Mackie, L.; Avdis, A.; Piggott, M. D; and Hill, J.\n\n\n \n\n\n\n Ocean & coastal management, 193: 105221. August 2020.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@ARTICLE{Baker2020-ci,\n  title    = "{Modelling the impact of tidal range energy on species communities}",\n  author   = "Baker, Amy L and Craighead, Robert M and Jarvis, Emma J and\n              Stenton, Harriett C and Angeloudis, Athanasios and Mackie, Lucas\n              and Avdis, Alexandros and Piggott, Matthew D and Hill, Jon",\n  journal  = "Ocean \\& coastal management",\n  volume   =  193,\n  pages    = "105221",\n  month    =  aug,\n  year     =  2020,\n  keywords = "Tidal energy; Environmental impacts; Modelling",\n  issn     = "0964-5691",\n  doi      = "10.1016/j.ocecoaman.2020.105221"\n}\n\n\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Reconciling Storegga tsunami sedimentation patterns with modelled wave heights: A discussion from the Shetland Isles field laboratory.\n \n \n \n\n\n \n Dawson, A. G; Dawson, S.; Bondevik, S.; Costa, P. J M; Hill, J.; and Stewart, I.\n\n\n \n\n\n\n Sedimentology. June 2020.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@ARTICLE{Dawson2019-db,\n  title    = "{Reconciling Storegga tsunami sedimentation patterns with modelled\n              wave heights: A discussion from the Shetland Isles field\n              laboratory}",\n  author   = "Dawson, Alastair G and Dawson, Sue and Bondevik, Stein and Costa,\n              Pedro J M and Hill, Jon and Stewart, Iain",\n  journal  = "Sedimentology",\n  month    =  jun,\n  year     =  2020,\n  issn     = "0037-0746",\n  doi      = "10.1111/sed.12643"\n}\n\n\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2019\n \n \n (3)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Aragonite bias exhibits systematic spatial variation in the Late Cretaceous Western Interior Seaway, North America.\n \n \n \n\n\n \n Dean, C. D; Allison, P. A; Hampson, G. J; and Hill, J.\n\n\n \n\n\n\n Paleobiology, 45(4): 571–597. September 2019.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@ARTICLE{Dean2019-bp,\n  title     = "{Aragonite bias exhibits systematic spatial variation in the Late\n               Cretaceous Western Interior Seaway, North America}",\n  author    = "Dean, Christopher D and Allison, Peter A and Hampson, Gary J and\n               Hill, Jon",\n  journal   = "Paleobiology",\n  publisher = "Cambridge University Press",\n  volume    =  45,\n  number    =  4,\n  pages     = "571--597",\n  month     =  sep,\n  year      =  2019,\n  issn      = "0094-8373, 1938-5331",\n  doi       = "10.1017/pab.2019.33"\n}\n\n\n% The entry below contains non-ASCII chars that could not be converted\n% to a LaTeX equivalent.\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n HRDS: A Python package for hierarchical raster datasets.\n \n \n \n\n\n \n Hill, J.\n\n\n \n\n\n\n Journal of Open Source Software, 4(37): 1112. May 2019.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@ARTICLE{Hill2019-nq,\n  title    = "{HRDS: A Python package for hierarchical raster datasets}",\n  author   = "Hill, Jon",\n  abstract = "Software archive",\n  journal  = "Journal of Open Source Software",\n  volume   =  4,\n  number   =  37,\n  pages    = "1112",\n  month    =  may,\n  year     =  2019,\n  issn     = "2475-9066",\n  doi      = "10.21105/joss.01112"\n}\n\n\n
\n
\n\n\n
\n Software archive\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n The trade-off between tidal-turbine array yield and environmental impact: a maximum entropy modelling approach.\n \n \n \n\n\n \n du Feu, R. J.; Funke, S.; Kramer, S. C.; Hill, J.; and Piggott, M. D.\n\n\n \n\n\n\n Renewable Energy. 2019.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{dufeu_2019,\nauthor = {du Feu, R. J. and Funke, S. and Kramer, S. C. and Hill, J. and Piggott, M. D.},\ntitle = {The trade-off between tidal-turbine array yield and environmental impact: a maximum entropy modelling approach},\njournal = {Renewable Energy},\nyear = {2019}\n}\n\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2018\n \n \n (1)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Controls on tidal sedimentation and preservation: Insights from numerical tidal modelling in the Late Oligocene–Miocene South China Sea, Southeast Asia.\n \n \n \n \n\n\n \n Collins, D. S; Avdis, A.; Allison, P. A; Johnson, H. D; Hill, J.; and Piggott, M. D\n\n\n \n\n\n\n Sedimentology, 0. 2018.\n \n\n\n\n
\n\n\n\n \n \n \"ControlsPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@article{collins_2018,\nauthor = {Collins, Daniel S and Avdis, Alexandros and Allison, Peter A and Johnson, Howard D and Hill, Jon and Piggott, Matthew D},\ntitle = {Controls on tidal sedimentation and preservation: Insights from numerical tidal modelling in the Late Oligocene–Miocene South China Sea, Southeast Asia},\njournal = {Sedimentology},\nvolume = {0},\nyear = {2018},\nkeywords = {Embayments, numerical modelling, Oligocene–Miocene, preservation, shoreline–shelf, South China Sea, tidal amplification, tides},\ndoi = {10.1111/sed.12474},\nurl = {https://onlinelibrary.wiley.com/doi/abs/10.1111/sed.12474},\neprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1111/sed.12474},\nabstract = {Abstract Numerical tidal modelling, when integrated with other geological datasets, can significantly inform the analysis of physical sedimentation processes and the depositional and preservational record of ancient tide-influenced shoreline–shelf systems. This is illustrated in the Oligo–Miocene of the South China Sea, which experienced significant changes in basin physiography and where tide-influenced, shoreline–shelf deposition is preserved in ca 10 sub-basins. Palaeogeographic reconstructions, palaeotidal modelling and regional sedimentary facies analysis have been integrated in order to evaluate the spatial–temporal evolution and physiographic controls on tidal sedimentation and preservation during the ca 25 Myr Oligo–Miocene record in the South China Sea. Palaeotidal modelling, using an astronomically-forced and global tidal model (Fluidity) at a maximum 10 km resolution, indicates that spring tides along Late Oligocene to Middle Miocene coastlines were predominantly mesotidal–macrotidal and capable of transporting sand, which reflects two main conditions: (i) increased tidal inflow through wider ocean connections to the Pacific Ocean; and (ii) tidal amplification resulting from constriction of the tidal wave in a ‘blind gulf’ type of basin morphology. Since the Middle to Late Miocene, a reduction in the amplitude and strength of tides in the South China Sea was mainly due to diminishing tidal inflow from the Pacific Ocean caused by the northward movement of the Philippines and Izu–Bonin–Mariana arc. Sensitivity tests to palaeogeographic and palaeobathymetric uncertainty indicate that regional-scale (hundreds to thousands of kilometres) palaeogeographic changes influencing tidal inflow versus outflow can override local-scale (one to hundreds of kilometres) changes to tidal resonance and convergence effects (funnelling and shoaling), such as shelf width and shoreline geometry. Palaeotidal model results compare favourably to the distribution and sedimentary fabric of Oligo–Miocene, tide-influenced, shoreline–shelf successions in peripheral South China Sea basins. However, the preservation potential of tidal deposits is lower in open coastline environments, probably due to enhanced reworking during storms and river floods. This article is protected by copyright. All rights reserved.}\n}\n\n
\n
\n\n\n
\n Abstract Numerical tidal modelling, when integrated with other geological datasets, can significantly inform the analysis of physical sedimentation processes and the depositional and preservational record of ancient tide-influenced shoreline–shelf systems. This is illustrated in the Oligo–Miocene of the South China Sea, which experienced significant changes in basin physiography and where tide-influenced, shoreline–shelf deposition is preserved in ca 10 sub-basins. Palaeogeographic reconstructions, palaeotidal modelling and regional sedimentary facies analysis have been integrated in order to evaluate the spatial–temporal evolution and physiographic controls on tidal sedimentation and preservation during the ca 25 Myr Oligo–Miocene record in the South China Sea. Palaeotidal modelling, using an astronomically-forced and global tidal model (Fluidity) at a maximum 10 km resolution, indicates that spring tides along Late Oligocene to Middle Miocene coastlines were predominantly mesotidal–macrotidal and capable of transporting sand, which reflects two main conditions: (i) increased tidal inflow through wider ocean connections to the Pacific Ocean; and (ii) tidal amplification resulting from constriction of the tidal wave in a ‘blind gulf’ type of basin morphology. Since the Middle to Late Miocene, a reduction in the amplitude and strength of tides in the South China Sea was mainly due to diminishing tidal inflow from the Pacific Ocean caused by the northward movement of the Philippines and Izu–Bonin–Mariana arc. Sensitivity tests to palaeogeographic and palaeobathymetric uncertainty indicate that regional-scale (hundreds to thousands of kilometres) palaeogeographic changes influencing tidal inflow versus outflow can override local-scale (one to hundreds of kilometres) changes to tidal resonance and convergence effects (funnelling and shoaling), such as shelf width and shoreline geometry. Palaeotidal model results compare favourably to the distribution and sedimentary fabric of Oligo–Miocene, tide-influenced, shoreline–shelf successions in peripheral South China Sea basins. However, the preservation potential of tidal deposits is lower in open coastline environments, probably due to enhanced reworking during storms and river floods. This article is protected by copyright. All rights reserved.\n
\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2017\n \n \n (3)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Efficient unstructured mesh generation for marine renewable energy applications.\n \n \n \n\n\n \n Avdis, A.; Candy, A. S; Hill, J.; Kramer, S. C; and Piggott, M. D\n\n\n \n\n\n\n Renewable Energy. September 2017.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@ARTICLE{Avdis2017-dv,\n  title    = "{Efficient unstructured mesh generation for marine renewable\n              energy applications}",\n  author   = "Avdis, Alexandros and Candy, Adam S and Hill, Jon and Kramer,\n              Stephan C and Piggott, Matthew D",\n  abstract = "Abstract Renewable energy is the cornerstone of preventing\n              dangerous climate change whilst maintaining a robust energy\n              supply. Tidal energy will arguably play a critical role in the\n              renewable energy portfolio as it is both predictable and\n              reliable, and can be put in place across the globe. However,\n              installation may impact the local and regional ecology via\n              changes in tidal dynamics, sediment transport pathways or\n              bathymetric changes. In order to mitigate these effects, tidal\n              energy devices need to be modelled in order to predict\n              hydrodynamic changes. Robust mesh generation is a fundamental\n              component required for developing simulations with high accuracy.\n              However, mesh generation for coastal domains can be an elaborate\n              procedure. Here, we describe an approach combining mesh\n              generators with Geographical Information Systems. We demonstrate\n              robustness and efficiency by constructing a mesh with which to\n              examine the potential environmental impact of a tidal turbine\n              farm installation in the Orkney Islands. The mesh is then used\n              with two well-validated ocean models, to compare their flow\n              predictions with and without a turbine array. The results\n              demonstrate that it is possible to create an easy-to-use tool to\n              generate high-quality meshes for combined coastal engineering,\n              here tidal turbines, and coastal ocean simulations.",\n  journal  = "Renewable Energy",\n  month    =  sep,\n  year     =  2017,\n  keywords = "Mesh generation; Geographical Information Systems; Research Data\n              Management; Tidal turbine arrays; Renewable energy generation;\n              Pentland Firth",\n  issn     = "0960-1481",\n  doi      = "10.1016/j.renene.2017.09.058"\n}\n\n
\n
\n\n\n
\n Abstract Renewable energy is the cornerstone of preventing dangerous climate change whilst maintaining a robust energy supply. Tidal energy will arguably play a critical role in the renewable energy portfolio as it is both predictable and reliable, and can be put in place across the globe. However, installation may impact the local and regional ecology via changes in tidal dynamics, sediment transport pathways or bathymetric changes. In order to mitigate these effects, tidal energy devices need to be modelled in order to predict hydrodynamic changes. Robust mesh generation is a fundamental component required for developing simulations with high accuracy. However, mesh generation for coastal domains can be an elaborate procedure. Here, we describe an approach combining mesh generators with Geographical Information Systems. We demonstrate robustness and efficiency by constructing a mesh with which to examine the potential environmental impact of a tidal turbine farm installation in the Orkney Islands. The mesh is then used with two well-validated ocean models, to compare their flow predictions with and without a turbine array. The results demonstrate that it is possible to create an easy-to-use tool to generate high-quality meshes for combined coastal engineering, here tidal turbines, and coastal ocean simulations.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n The trade-off between tidal-turbine array yield and impact on flow: A multi-objective optimisation problem.\n \n \n \n\n\n \n du Feu, R J; Funke, S W; Kramer, S C; Culley, D M; Hill, J; Halpern, B S; and Piggott\n\n\n \n\n\n\n Renewable Energy, 114: 1247–1257. December 2017.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@ARTICLE{Du_Feu2017-ra,\n  title    = "{The trade-off between tidal-turbine array yield and impact on\n              flow: A multi-objective optimisation problem}",\n  author   = "du Feu, R J and Funke, S W and Kramer, S C and Culley, D M and\n              Hill, J and Halpern, B S and {Piggott}",\n  abstract = "This paper introduces a new approach for investigating trade-offs\n              between different societal objectives in the design of\n              tidal-turbine arrays. This method is demonstrated through the\n              trade-off between the yield of an array, and the extent to which\n              that array alters the flow. This is posed as a multi-objective\n              optimisation problem, and the problem is investigated using the\n              array layout optimisation tool OpenTidalFarm. Motivated by\n              environmental concerns, OpenTidalFarm is adapted to not only\n              maximise array yield but also to minimise the effect of the array\n              upon the hydrodynamics of the region, specifically the flow\n              velocity. A linear scalarisation of the multi-objective\n              optimisation problem is solved for a series of different\n              weightings of the two conflicting objectives. Two idealised test\n              scenarios are evaluated and in each case a set of Pareto\n              solutions is found. These arrays are assessed for the power they\n              generate and the severity of change they cause in the flow\n              velocity. These analyses allow for the identification of\n              trade-offs between these two objectives, while the methods\n              proposed can similarly be applied to the two key societal\n              objectives of energy production and conservation, thus providing\n              information that could be valuable to stakeholders and\n              policymakers when making decisions on array design.",\n  journal  = "Renewable Energy",\n  volume   =  114,\n  pages    = "1247--1257",\n  month    =  dec,\n  year     =  2017,\n  keywords = "Marine renewable energy; Tidal turbines; Gradient-based\n              optimisation; Multi-objective optimization; Pareto front;\n              Environmental impact",\n  issn     = "0960-1481",\n  doi      = "10.1016/j.renene.2017.07.081"\n}\n\n% The entry below contains non-ASCII chars that could not be converted\n% to a LaTeX equivalent.\n
\n
\n\n\n
\n This paper introduces a new approach for investigating trade-offs between different societal objectives in the design of tidal-turbine arrays. This method is demonstrated through the trade-off between the yield of an array, and the extent to which that array alters the flow. This is posed as a multi-objective optimisation problem, and the problem is investigated using the array layout optimisation tool OpenTidalFarm. Motivated by environmental concerns, OpenTidalFarm is adapted to not only maximise array yield but also to minimise the effect of the array upon the hydrodynamics of the region, specifically the flow velocity. A linear scalarisation of the multi-objective optimisation problem is solved for a series of different weightings of the two conflicting objectives. Two idealised test scenarios are evaluated and in each case a set of Pareto solutions is found. These arrays are assessed for the power they generate and the severity of change they cause in the flow velocity. These analyses allow for the identification of trade-offs between these two objectives, while the methods proposed can similarly be applied to the two key societal objectives of energy production and conservation, thus providing information that could be valuable to stakeholders and policymakers when making decisions on array design.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Tidal dynamics and mangrove carbon sequestration during the Oligo–Miocene in the South China Sea.\n \n \n \n\n\n \n Collins, D. S; Avdis, A.; Allison, P. A; Johnson, H. D; Hill, J.; Piggott, M. D; Amir Hassan, M. H; and Damit, A. R.\n\n\n \n\n\n\n Nature communications, 8: ncomms15698. June 2017.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@ARTICLE{Collins2017-vs,\n  title     = "{Tidal dynamics and mangrove carbon sequestration during the\n               Oligo--Miocene in the South China Sea}",\n  author    = "Collins, Daniel S and Avdis, Alexandros and Allison, Peter A and\n               Johnson, Howard D and Hill, Jon and Piggott, Matthew D and Amir\n               Hassan, Meor H and Damit, Abdul Razak",\n  abstract  = "Mangroves are important carbon-rich biomes, but their long-term\n               impact on the global carbon cycle is relatively unknown. Here,\n               the authors show that the Oligo--Miocene mangroves in the South\n               China Sea stored in excess of 4,000 Gt, demonstrating the\n               long-term impact of mang…",\n  journal   = "Nature communications",\n  publisher = "Nature Publishing Group",\n  volume    =  8,\n  pages     = "ncomms15698",\n  month     =  jun,\n  year      =  2017,\n  language  = "en",\n  issn      = "2041-1723, 2041-1723",\n  doi       = "10.1038/ncomms15698"\n}\n\n
\n
\n\n\n
\n Mangroves are important carbon-rich biomes, but their long-term impact on the global carbon cycle is relatively unknown. Here, the authors show that the Oligo–Miocene mangroves in the South China Sea stored in excess of 4,000 Gt, demonstrating the long-term impact of mang…\n
\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2016\n \n \n (4)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Global cooling as a driver of diversification in a major marine clade.\n \n \n \n\n\n \n Davis, K. E; Hill, J.; Astrop, T. I; and Wills, M. A\n\n\n \n\n\n\n Nature communications, 7: 13003. October 2016.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@ARTICLE{Davis2016-ah,\n  title       = "{Global cooling as a driver of diversification in a major\n                 marine clade}",\n  author      = "Davis, Katie E and Hill, Jon and Astrop, Tim I and Wills,\n                 Matthew A",\n  affiliation = "Milner Centre for Evolution, Department of Biology and\n                 Biochemistry, The University of Bath, Bath BA2 7AY, UK.\n                 Environment Department, University of York, York YO10 5NG, UK.\n                 Milner Centre for Evolution, Department of Biology and\n                 Biochemistry, The University of Bath, Bath BA2 7AY, UK. Milner\n                 Centre for Evolution, Department of Biology and Biochemistry,\n                 The University of Bath, Bath BA2 7AY, UK.",\n  abstract    = "Climate is a strong driver of global diversity and will become\n                 increasingly important as human influences drive temperature\n                 changes at unprecedented rates. Here we investigate\n                 diversification and speciation trends within a diverse group\n                 of aquatic crustaceans, the Anomura. We use a phylogenetic\n                 framework to demonstrate that speciation rate is correlated\n                 with global cooling across the entire tree, in contrast to\n                 previous studies. Additionally, we find that marine clades\n                 continue to show evidence of increased speciation rates with\n                 cooler global temperatures, while the single freshwater clade\n                 shows the opposite trend with speciation rates positively\n                 correlated to global warming. Our findings suggest that both\n                 global cooling and warming lead to diversification and that\n                 habitat plays a role in the responses of species to climate\n                 change. These results have important implications for our\n                 understanding of how extant biota respond to ongoing climate\n                 change and are of particular importance for conservation\n                 planning of marine ecosystems.",\n  journal     = "Nature communications",\n  volume      =  7,\n  pages       = "13003",\n  month       =  oct,\n  year        =  2016,\n  language    = "en",\n  issn        = "2041-1723",\n  pmid        = "27701377",\n  doi         = "10.1038/ncomms13003",\n  pmc         = "PMC5059450"\n}\n\n% The entry below contains non-ASCII chars that could not be converted\n% to a LaTeX equivalent.\n
\n
\n\n\n
\n Climate is a strong driver of global diversity and will become increasingly important as human influences drive temperature changes at unprecedented rates. Here we investigate diversification and speciation trends within a diverse group of aquatic crustaceans, the Anomura. We use a phylogenetic framework to demonstrate that speciation rate is correlated with global cooling across the entire tree, in contrast to previous studies. Additionally, we find that marine clades continue to show evidence of increased speciation rates with cooler global temperatures, while the single freshwater clade shows the opposite trend with speciation rates positively correlated to global warming. Our findings suggest that both global cooling and warming lead to diversification and that habitat plays a role in the responses of species to climate change. These results have important implications for our understanding of how extant biota respond to ongoing climate change and are of particular importance for conservation planning of marine ecosystems.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Lateglacial and Holocene relative sea-level changes and first evidence for the Storegga tsunami in Sutherland, Scotland.\n \n \n \n\n\n \n Long, A. J; Barlow, N. L M; Dawson, S.; Hill, J.; Innes, J. B; Kelham, C.; Milne, F. D; and Dawson, A.\n\n\n \n\n\n\n Journal of Quaternary Science, 31(3): 239–255. April 2016.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@ARTICLE{Long2016-nj,\n  title    = "{Lateglacial and Holocene relative sea-level changes and first\n              evidence for the Storegga tsunami in Sutherland, Scotland}",\n  author   = "Long, Antony J and Barlow, Natasha L M and Dawson, Sue and Hill,\n              Jon and Innes, James B and Kelham, Catherine and Milne, Fraser D\n              and Dawson, Alastair",\n  abstract = "We reconstruct one of the longest relative sea-level (RSL)\n              records in north-west Europe from the north coast of mainland\n              Scotland, using data collected from three sites in Loch Eriboll\n              (Sutherland) that we combine with other studies from the region.\n              Following deglaciation, RSL fell from a Lateglacial highstand of\n              +6−8 m OD (Ordnance Datum = ca. mean sea level) at ca. 15 k cal a\n              BP to below present, then rose to an early Holocene highstand and\n              remained at ca. +1 m OD between ca. 7 and 3 k cal a BP, before\n              falling to present. We find no evidence for significant\n              differential Holocene glacio-isostatic adjustment between sites\n              on the north-west (Lochinver, Loch Laxford), north (Loch Eriboll)\n              and north-east (Wick) coast of mainland Scotland. This suggests\n              that the region was rapidly deglaciated and there was little\n              difference in ice loads across the region. From one site at the\n              head of Loch Eriboll we report the most westerly sedimentary\n              evidence for the early Holocene Storegga tsunami on the Scottish\n              mainland. The presence of the Storegga tsunami in Loch Eriboll is\n              predicted by a tsunami wave model, which suggests that the\n              tsunami impacted the entire north coast of Scotland and probably\n              also the Atlantic coastline of north-west Scotland.",\n  journal  = "Journal of Quaternary Science",\n  volume   =  31,\n  number   =  3,\n  pages    = "239--255",\n  month    =  apr,\n  year     =  2016,\n  keywords = "glacio-isostatic adjustment; relative sea level; Storegga\n              landslide; Storegga tsunami; tsunami",\n  issn     = "1099-1417",\n  doi      = "10.1002/jqs.2862"\n}\n\n
\n
\n\n\n
\n We reconstruct one of the longest relative sea-level (RSL) records in north-west Europe from the north coast of mainland Scotland, using data collected from three sites in Loch Eriboll (Sutherland) that we combine with other studies from the region. Following deglaciation, RSL fell from a Lateglacial highstand of +6−8 m OD (Ordnance Datum = ca. mean sea level) at ca. 15 k cal a BP to below present, then rose to an early Holocene highstand and remained at ca. +1 m OD between ca. 7 and 3 k cal a BP, before falling to present. We find no evidence for significant differential Holocene glacio-isostatic adjustment between sites on the north-west (Lochinver, Loch Laxford), north (Loch Eriboll) and north-east (Wick) coast of mainland Scotland. This suggests that the region was rapidly deglaciated and there was little difference in ice loads across the region. From one site at the head of Loch Eriboll we report the most westerly sedimentary evidence for the early Holocene Storegga tsunami on the Scottish mainland. The presence of the Storegga tsunami in Loch Eriboll is predicted by a tsunami wave model, which suggests that the tsunami impacted the entire north coast of Scotland and probably also the Atlantic coastline of north-west Scotland.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Comparing approaches for numerical modelling of tsunami generation by deformable submarine slides.\n \n \n \n\n\n \n Smith, R. C; Hill, J.; Collins, G. S; Piggott, M. D; Kramer, S. C; Parkinson, S. D; and Wilson, C.\n\n\n \n\n\n\n Ocean Modelling, 100: 125–140. April 2016.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@ARTICLE{Smith2016-dl,\n  title    = "{Comparing approaches for numerical modelling of tsunami\n              generation by deformable submarine slides}",\n  author   = "Smith, Rebecca C and Hill, Jon and Collins, Gareth S and Piggott,\n              Matthew D and Kramer, Stephan C and Parkinson, Samuel D and\n              Wilson, Cian",\n  abstract = "Abstract Tsunami generated by submarine slides are arguably an\n              under-considered risk in comparison to earthquake-generated\n              tsunami. Numerical simulations of submarine slide-generated waves\n              can be used to identify the important factors in determining wave\n              characteristics. Here we use Fluidity, an open source finite\n              element code, to simulate waves generated by deformable submarine\n              slides. Fluidity uses flexible unstructured meshes combined with\n              adaptivity which alters the mesh topology and resolution based on\n              the simulation state, focussing or reducing resolution, when and\n              where it is required. Fluidity also allows a number of different\n              numerical approaches to be taken to simulate submarine slide\n              deformation, free-surface representation, and wave generation\n              within the same numerical framework. In this work we use a\n              multi-material approach, considering either two materials (slide\n              and water with a free surface) or three materials (slide, water\n              and air), as well as a sediment model (sediment, water and free\n              surface) approach. In all cases the slide is treated as a viscous\n              fluid. Our results are shown to be consistent with laboratory\n              experiments using a deformable submarine slide, and demonstrate\n              good agreement when compared with other numerical models. The\n              three different approaches for simulating submarine slide\n              dynamics and tsunami wave generation produce similar waveforms\n              and slide deformation geometries. However, each has its own\n              merits depending on the application. Mesh adaptivity is shown to\n              be able to reduce the computational cost without compromising the\n              accuracy of results.",\n  journal  = "Ocean Modelling",\n  volume   =  100,\n  pages    = "125--140",\n  month    =  apr,\n  year     =  2016,\n  keywords = "Submarine Slide; Tsunami; Numerical Modelling; Validation;\n              Adaptive Mesh",\n  issn     = "1463-5003",\n  doi      = "10.1016/j.ocemod.2016.02.007"\n}\n\n% The entry below contains non-ASCII chars that could not be converted\n% to a LaTeX equivalent.\n
\n
\n\n\n
\n Abstract Tsunami generated by submarine slides are arguably an under-considered risk in comparison to earthquake-generated tsunami. Numerical simulations of submarine slide-generated waves can be used to identify the important factors in determining wave characteristics. Here we use Fluidity, an open source finite element code, to simulate waves generated by deformable submarine slides. Fluidity uses flexible unstructured meshes combined with adaptivity which alters the mesh topology and resolution based on the simulation state, focussing or reducing resolution, when and where it is required. Fluidity also allows a number of different numerical approaches to be taken to simulate submarine slide deformation, free-surface representation, and wave generation within the same numerical framework. In this work we use a multi-material approach, considering either two materials (slide and water with a free surface) or three materials (slide, water and air), as well as a sediment model (sediment, water and free surface) approach. In all cases the slide is treated as a viscous fluid. Our results are shown to be consistent with laboratory experiments using a deformable submarine slide, and demonstrate good agreement when compared with other numerical models. The three different approaches for simulating submarine slide dynamics and tsunami wave generation produce similar waveforms and slide deformation geometries. However, each has its own merits depending on the application. Mesh adaptivity is shown to be able to reduce the computational cost without compromising the accuracy of results.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Submarine landslides on the Great Barrier Reef shelf edge and upper slope: A mechanism for generating tsunamis on the north-east Australian coast?.\n \n \n \n\n\n \n Webster, J. M; George, N. P J; Beaman, R. J; Hill, J.; Puga-Bernabéu, Á.; Hinestrosa, G.; Abbey, E. A; and Daniell, J. J\n\n\n \n\n\n\n Marine geology, 371: 120–129. January 2016.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@ARTICLE{Webster2016-hp,\n  title    = "{Submarine landslides on the Great Barrier Reef shelf edge and\n              upper slope: A mechanism for generating tsunamis on the\n              north-east Australian coast?}",\n  author   = "Webster, Jody M and George, Nicholas P J and Beaman, Robin J and\n              Hill, Jon and Puga-Bernab{\\'e}u, {\\'A}ngel and Hinestrosa,\n              Gustavo and Abbey, Elizabeth A and Daniell, James J",\n  abstract = "Abstract Shallow (< 200 m) submarine landslides influence margin\n              evolution and can produce devastating tsunamis, yet little is\n              known about these processes on mixed siliciclastic--carbonate\n              margins. We have discovered seven landslides along the shelf edge\n              and upper slope of the central Great Barrier Reef (GBR),\n              Australia. The largest shelf edge landslide is investigated in\n              detail and represents a collapse of a 7 km long section of the\n              shelf edge at 90 m water depth with coarse debris deposited up to\n              5.5 km away on the upper slope down to 250 m. The precise timing\n              and triggering mechanisms are uncertain but available chronologic\n              and seismic stratigraphic evidence suggests that this event\n              occurred during the last deglacial sea-level rise between 20 and\n              14 ka. Regional bathymetric data confirms that these shelf edge\n              and upper slope slides are restricted to the central GBR between\n              latitude 18° and 19°S, suggesting a spatial relationship between\n              the extensive Burdekin paleo-fluvial/delta system and shallow\n              landslide activity. This study highlights an important local\n              mechanism for the generation of tsunamis on this margin type, and\n              numerical simulations under present conditions confirm that a 2\n              to 3 m tsunami wave could be produced locally. However, we\n              consider that the risk of such slides, and their resulting\n              tsunamis, to the modern coastline is negligible due to their\n              relatively small size and the capacity of the GBR to dissipate\n              the wave energy.",\n  journal  = "Marine geology",\n  volume   =  371,\n  pages    = "120--129",\n  month    =  jan,\n  year     =  2016,\n  keywords = "Great barrier reef; Continental shelf; Submarine landslides;\n              Tsunami; Numerical model; Sea-level change",\n  issn     = "0025-3227",\n  doi      = "10.1016/j.margeo.2015.11.008"\n}\n\n
\n
\n\n\n
\n Abstract Shallow (< 200 m) submarine landslides influence margin evolution and can produce devastating tsunamis, yet little is known about these processes on mixed siliciclastic–carbonate margins. We have discovered seven landslides along the shelf edge and upper slope of the central Great Barrier Reef (GBR), Australia. The largest shelf edge landslide is investigated in detail and represents a collapse of a 7 km long section of the shelf edge at 90 m water depth with coarse debris deposited up to 5.5 km away on the upper slope down to 250 m. The precise timing and triggering mechanisms are uncertain but available chronologic and seismic stratigraphic evidence suggests that this event occurred during the last deglacial sea-level rise between 20 and 14 ka. Regional bathymetric data confirms that these shelf edge and upper slope slides are restricted to the central GBR between latitude 18° and 19°S, suggesting a spatial relationship between the extensive Burdekin paleo-fluvial/delta system and shallow landslide activity. This study highlights an important local mechanism for the generation of tsunamis on this margin type, and numerical simulations under present conditions confirm that a 2 to 3 m tsunami wave could be produced locally. However, we consider that the risk of such slides, and their resulting tsunamis, to the modern coastline is negligible due to their relatively small size and the capacity of the GBR to dissipate the wave energy.\n
\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2015\n \n \n (2)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Not all aragonitic molluscs are missing: taphonomy and significance of a unique shelly lagerstätte from the Jurassic of SW Britain.\n \n \n \n\n\n \n Jordan, N.; Allison, P. A; Hill, J.; and Sutton, M. D\n\n\n \n\n\n\n Lethaia. March 2015.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@ARTICLE{Jordan2015-tr,\n  title    = "{Not all aragonitic molluscs are missing: taphonomy and\n              significance of a unique shelly lagerst{\\"a}tte from the Jurassic\n              of SW Britain}",\n  author   = "Jordan, Naomi and Allison, Peter A and Hill, Jon and Sutton, Mark\n              D",\n  abstract = "The Blue Lias Formation at Lyme Regis (Dorset, UK) includes an\n              exceptional pavement of abundant large ammonites that accumulated\n              during a period of profound sedimentary condensation. Ammonites\n              were originally composed of aragonite, an unstable polymorph of\n              calcium carbonate, and such fossils are typically prone to\n              dissolution; the occurrence of a rich association of aragonitic\n              shells in a condensed bed is highly unusual. Aragonite\n              dissolution occurs when pore-water pH is reduced by the\n              oxidization of hydrogen sulphide close to the sediment-water\n              interface. Evidence suggests that, in this case, the oxygen\n              concentrations in the overlying water column were low during\n              deposition. This inhibited the oxidation of sulphides and the\n              associated lowering of pH, allowing aragonite to survive long\n              enough for the shell to be neomorphosed to calcite. The loss of\n              aragonite impacts upon estimates of past biodiversity and\n              carbonate accumulation rates. The preservational model presented\n              here implies that diagenetic loss of aragonite will be greatest\n              in those areas where dysoxic-anoxic sediment lies beneath an oxic\n              waterbody but least where the sediment and overlying water are\n              oxygen depleted. Unfortunately, this implies that preservational\n              bias through aragonite loss will be greatest in those biotopes\n              which are typically most diverse and least where biodiversity is\n              lowest due to oxygen restriction.",\n  journal  = "Lethaia",\n  month    =  mar,\n  year     =  2015,\n  keywords = "Ammonite; aragonite dissolution; carbonate; dysoxia; Lias;\n              taphonomy",\n  issn     = "0024-1164, 1502-3931",\n  doi      = "10.1111/let.12126"\n}\n\n
\n
\n\n\n
\n The Blue Lias Formation at Lyme Regis (Dorset, UK) includes an exceptional pavement of abundant large ammonites that accumulated during a period of profound sedimentary condensation. Ammonites were originally composed of aragonite, an unstable polymorph of calcium carbonate, and such fossils are typically prone to dissolution; the occurrence of a rich association of aragonitic shells in a condensed bed is highly unusual. Aragonite dissolution occurs when pore-water pH is reduced by the oxidization of hydrogen sulphide close to the sediment-water interface. Evidence suggests that, in this case, the oxygen concentrations in the overlying water column were low during deposition. This inhibited the oxidation of sulphides and the associated lowering of pH, allowing aragonite to survive long enough for the shell to be neomorphosed to calcite. The loss of aragonite impacts upon estimates of past biodiversity and carbonate accumulation rates. The preservational model presented here implies that diagenetic loss of aragonite will be greatest in those areas where dysoxic-anoxic sediment lies beneath an oxic waterbody but least where the sediment and overlying water are oxygen depleted. Unfortunately, this implies that preservational bias through aragonite loss will be greatest in those biotopes which are typically most diverse and least where biodiversity is lowest due to oxygen restriction.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Tidal resource extraction in the Pentland Firth, UK: Potential impacts on flow regime and sediment transport in the Inner Sound of Stroma.\n \n \n \n\n\n \n Martin-Short, R; Hill, J; Kramer, S C; Avdis, A; Allison, P A; and Piggott, M D\n\n\n \n\n\n\n Renewable Energy, 76(0): 596–607. April 2015.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@ARTICLE{Martin-Short2015-hq,\n  title    = "{Tidal resource extraction in the Pentland Firth, UK: Potential\n              impacts on flow regime and sediment transport in the Inner Sound\n              of Stroma}",\n  author   = "Martin-Short, R and Hill, J and Kramer, S C and Avdis, A and\n              Allison, P A and Piggott, M D",\n  abstract = "Abstract Large-scale extraction of power from tidal streams\n              within the Pentland Firth is expected to be underway in the near\n              future. The Inner Sound of Stroma in particular has attracted\n              significant commercial interest. To understand potential\n              environmental impacts of the installation of a tidal turbine\n              array a case study based upon the Inner Sound is considered. A\n              numerical computational fluid dynamics model, Fluidity, is used\n              to conduct a series of depth-averaged simulations to investigate\n              velocity and bed shear stress changes due to the presence of\n              idealised tidal turbine arrays. The number of turbines is\n              increased from zero to 400. It is found that arrays in excess of\n              85 turbines have the potential to affect bed shear stress\n              distributions in such a way that the most favourable sites for\n              sediment accumulation migrate from the edges of the Inner Sound\n              towards its centre. Deposits of fine gravel and coarse sand are\n              indicated to occur within arrays of greater than 240 turbines\n              with removal of existing deposits in the shallower channel\n              margins also possible. The effects of the turbine array may be\n              seen several kilometres from the site which has implications not\n              only on sediment accumulation, but also on the benthic fauna.",\n  journal  = "Renewable Energy",\n  volume   =  76,\n  number   =  0,\n  pages    = "596--607",\n  month    =  apr,\n  year     =  2015,\n  keywords = "Tidal energy; Modelling; Pentland Firth; Finite element",\n  issn     = "0960-1481",\n  doi      = "10.1016/j.renene.2014.11.079"\n}\n\n
\n
\n\n\n
\n Abstract Large-scale extraction of power from tidal streams within the Pentland Firth is expected to be underway in the near future. The Inner Sound of Stroma in particular has attracted significant commercial interest. To understand potential environmental impacts of the installation of a tidal turbine array a case study based upon the Inner Sound is considered. A numerical computational fluid dynamics model, Fluidity, is used to conduct a series of depth-averaged simulations to investigate velocity and bed shear stress changes due to the presence of idealised tidal turbine arrays. The number of turbines is increased from zero to 400. It is found that arrays in excess of 85 turbines have the potential to affect bed shear stress distributions in such a way that the most favourable sites for sediment accumulation migrate from the edges of the Inner Sound towards its centre. Deposits of fine gravel and coarse sand are indicated to occur within arrays of greater than 240 turbines with removal of existing deposits in the shallower channel margins also possible. The effects of the turbine array may be seen several kilometres from the site which has implications not only on sediment accumulation, but also on the benthic fauna.\n
\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2014\n \n \n (5)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Integration of Geographic Information System frameworks into domain discretisation and meshing processes for geophysical models.\n \n \n \n\n\n \n Candy, A S; Avdis, A; Hill, J; Gorman, G J; and Piggott, M D\n\n\n \n\n\n\n Geoscientific Model Development Discussions, 7(5): 5993–6060. 2014.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@ARTICLE{Candy2014-vi,\n  title     = "{Integration of Geographic Information System frameworks into\n               domain discretisation and meshing processes for geophysical\n               models}",\n  author    = "Candy, A S and Avdis, A and Hill, J and Gorman, G J and Piggott,\n               M D",\n  abstract  = "Abstract. Computational simulations of physical phenomena rely\n               on an accurate discretisation of the model domain. Numerical\n               models have increased in sophistication to a level where it is\n               possible to support terrain-following boundaries that conform\n               accurately to real physical interfaces, and resolve a multiscale\n               of spatial resolutions. Whilst simulation codes are maturing in\n               this area, pre-processing tools have not developed significantly\n               enough to competently initialise these problems in a rigorous,\n               efficient and recomputable ...",\n  journal   = "Geoscientific Model Development Discussions",\n  publisher = "Copernicus GmbH",\n  volume    =  7,\n  number    =  5,\n  pages     = "5993--6060",\n  year      =  2014\n}\n\n
\n
\n\n\n
\n Abstract. Computational simulations of physical phenomena rely on an accurate discretisation of the model domain. Numerical models have increased in sophistication to a level where it is possible to support terrain-following boundaries that conform accurately to real physical interfaces, and resolve a multiscale of spatial resolutions. Whilst simulation codes are maturing in this area, pre-processing tools have not developed significantly enough to competently initialise these problems in a rigorous, efficient and recomputable ...\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Adapting to life: ocean biogeochemical modelling and adaptive remeshing.\n \n \n \n\n\n \n Hill, J; Popova, E E; Ham, D A; Piggott, M D; and Srokosz, M\n\n\n \n\n\n\n Ocean Science, 10(3): 323–343. May 2014.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@ARTICLE{Hill2014-sx,\n  title   = "{Adapting to life: ocean biogeochemical modelling and adaptive\n             remeshing}",\n  author  = "Hill, J and Popova, E E and Ham, D A and Piggott, M D and Srokosz,\n             M",\n  journal = "Ocean Science",\n  volume  =  10,\n  number  =  3,\n  pages   = "323--343",\n  month   =  may,\n  year    =  2014,\n  issn    = "1812-0784, 1812-0792",\n  doi     = "10.5194/os-10-323-2014"\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Direct numerical simulations of particle-laden density currents with adaptive, discontinuous finite elements.\n \n \n \n\n\n \n Parkinson, S D; Hill, J; Piggott, M D; and Allison, P A\n\n\n \n\n\n\n Geoscientific Model Development, 7(5): 1945–1960. 2014.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@ARTICLE{Parkinson2014-zx,\n  title   = "{Direct numerical simulations of particle-laden density currents\n             with adaptive, discontinuous finite elements}",\n  author  = "Parkinson, S D and Hill, J and Piggott, M D and Allison, P A",\n  journal = "Geoscientific Model Development",\n  volume  =  7,\n  number  =  5,\n  pages   = "1945--1960",\n  year    =  2014,\n  doi     = "10.5194/gmd-7-1945-2014"\n}\n\n% The entry below contains non-ASCII chars that could not be converted\n% to a LaTeX equivalent.\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n How does multiscale modelling and inclusion of realistic palaeobathymetry affect numerical simulation of the Storegga Slide tsunami?.\n \n \n \n\n\n \n Hill, J.; Collins, G. S; Avdis, A.; Kramer, S. C; and Piggott, M. D\n\n\n \n\n\n\n Ocean Modelling, 83(0): 11–25. November 2014.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@ARTICLE{Hill2014-jo,\n  title    = "{How does multiscale modelling and inclusion of realistic\n              palaeobathymetry affect numerical simulation of the Storegga\n              Slide tsunami?}",\n  author   = "Hill, Jon and Collins, Gareth S and Avdis, Alexandros and Kramer,\n              Stephan C and Piggott, Matthew D",\n  abstract = "Abstract The ∼8.15 ka Storegga submarine slide was a large (∼3000\n              km3), tsunamigenic slide off the coast of Norway. The resulting\n              tsunami had run-up heights of around 10--20 m on the Norwegian\n              coast, over 12 m in Shetland, 3--6 m on the Scottish mainland\n              coast and reached as far as Greenland. Accurate numerical\n              simulations of Storegga require high spatial resolution near the\n              coasts, particularly near tsunami run-up observations, and also\n              in the slide region. However, as the computational domain must\n              span the whole of the Norwegian-Greenland sea, employing\n              uniformly high spatial resolution is computationally prohibitive.\n              To overcome this problem, we present a multiscale numerical model\n              of the Storegga slide-generated tsunami where spatial resolution\n              varies from 500 m to 50 km across the entire Norwegian-Greenland\n              sea domain to optimally resolve the slide region, important\n              coastlines and bathymetric changes. We compare results from our\n              multiscale model to previous results using constant-resolution\n              models and show that accounting for changes in bathymetry since\n              8.15 ka, neglected in previous numerical studies of the Storegga\n              slide-tsunami, improves the agreement between the model and\n              inferred run-up heights in specific locations, especially in the\n              Shetlands, where maximum run-up height increased from 8 m (modern\n              bathymetry) to 13 m (palaeobathymetry). By tracking the Storegga\n              tsunami as far south as the southern North sea, we also found\n              that wave heights were high enough to inundate Doggerland, an\n              island in the southern North Sea prior to sea level rise over the\n              last 8 ka.",\n  journal  = "Ocean Modelling",\n  volume   =  83,\n  number   =  0,\n  pages    = "11--25",\n  month    =  nov,\n  year     =  2014,\n  keywords = "Submarine slide; Storegga; Tsunami; Numerical modelling;\n              Multiscale",\n  issn     = "1463-5003",\n  doi      = "10.1016/j.ocemod.2014.08.007"\n}\n\n
\n
\n\n\n
\n Abstract The ∼8.15 ka Storegga submarine slide was a large (∼3000 km3), tsunamigenic slide off the coast of Norway. The resulting tsunami had run-up heights of around 10–20 m on the Norwegian coast, over 12 m in Shetland, 3–6 m on the Scottish mainland coast and reached as far as Greenland. Accurate numerical simulations of Storegga require high spatial resolution near the coasts, particularly near tsunami run-up observations, and also in the slide region. However, as the computational domain must span the whole of the Norwegian-Greenland sea, employing uniformly high spatial resolution is computationally prohibitive. To overcome this problem, we present a multiscale numerical model of the Storegga slide-generated tsunami where spatial resolution varies from 500 m to 50 km across the entire Norwegian-Greenland sea domain to optimally resolve the slide region, important coastlines and bathymetric changes. We compare results from our multiscale model to previous results using constant-resolution models and show that accounting for changes in bathymetry since 8.15 ka, neglected in previous numerical studies of the Storegga slide-tsunami, improves the agreement between the model and inferred run-up heights in specific locations, especially in the Shetlands, where maximum run-up height increased from 8 m (modern bathymetry) to 13 m (palaeobathymetry). By tracking the Storegga tsunami as far south as the southern North sea, we also found that wave heights were high enough to inundate Doggerland, an island in the southern North Sea prior to sea level rise over the last 8 ka.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n The Supertree Toolkit 2: a new and improved software package with a Graphical User Interface for supertree construction.\n \n \n \n\n\n \n Hill, J.; and Davis, K.\n\n\n \n\n\n\n Biodiversity Data Journal, 2: e1053. March 2014.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@ARTICLE{Hill2014-bg,\n  title     = "{The Supertree Toolkit 2: a new and improved software package\n               with a Graphical User Interface for supertree construction}",\n  author    = "Hill, Jon and Davis, Katie",\n  abstract  = "Building large supertrees involves the collection, storage, and\n               processing of thousands of individual phylogenies to create\n               large phylogenies with thousands to tens of thousands of taxa.\n               Such large phylogenies are useful for macroevolutionary studies,\n               comparative biology and in conservation and biodiversity. No\n               easy to use and fully integrated software package currently\n               exists to carry out this task. Here, we present a new\n               Python-based software package that uses well defined XML schema\n               to manage both data and metadata. It builds on previous versions\n               by 1) including new processing steps, such as Safe Taxonomic\n               Reduction, 2) using a user-friendly GUI that guides the user to\n               complete at least the minimum information required and includes\n               context-sensitive documentation, and 3) a revised storage format\n               that integrates both tree- and meta-data into a single file.\n               These data can then be manipulated according to a well-defined,\n               but flexible, processing pipeline using either the GUI or a\n               command-line based tool. Processing steps include standardising\n               names, deleting or replacing taxa, ensuring adequate taxonomic\n               overlap, ensuring data independence, and safe taxonomic\n               reduction. This software has been successfully used to store and\n               process data consisting of over 1000 trees ready for analyses\n               using standard supertree methods. This software makes large\n               supertree creation a much easier task and provides far greater\n               flexibility for further work.",\n  journal   = "Biodiversity Data Journal",\n  publisher = "Pensoft Publishers",\n  volume    =  2,\n  pages     = "e1053",\n  month     =  mar,\n  year      =  2014,\n  issn      = "1314-2828, 1314-2828",\n  doi       = "10.3897/BDJ.2.e1053"\n}\n\n
\n
\n\n\n
\n Building large supertrees involves the collection, storage, and processing of thousands of individual phylogenies to create large phylogenies with thousands to tens of thousands of taxa. Such large phylogenies are useful for macroevolutionary studies, comparative biology and in conservation and biodiversity. No easy to use and fully integrated software package currently exists to carry out this task. Here, we present a new Python-based software package that uses well defined XML schema to manage both data and metadata. It builds on previous versions by 1) including new processing steps, such as Safe Taxonomic Reduction, 2) using a user-friendly GUI that guides the user to complete at least the minimum information required and includes context-sensitive documentation, and 3) a revised storage format that integrates both tree- and meta-data into a single file. These data can then be manipulated according to a well-defined, but flexible, processing pipeline using either the GUI or a command-line based tool. Processing steps include standardising names, deleting or replacing taxa, ensuring adequate taxonomic overlap, ensuring data independence, and safe taxonomic reduction. This software has been successfully used to store and process data consisting of over 1000 trees ready for analyses using standard supertree methods. This software makes large supertree creation a much easier task and provides far greater flexibility for further work.\n
\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2012\n \n \n (3)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Exploiting Parallel R in the Cloud with SPRINT.\n \n \n \n\n\n \n Piotrowski, M; McGilvary, G A; Sloan, T M; Mewissen, M; Lloyd, A D; Forster, T; Mitchell, L; Ghazal, P; and Hill, J\n\n\n \n\n\n\n Methods of information in medicine, 52(1): 80–90. December 2012.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@ARTICLE{Piotrowski2012-lc,\n  title   = "{Exploiting Parallel R in the Cloud with SPRINT}",\n  author  = "Piotrowski, M and McGilvary, G A and Sloan, T M and Mewissen, M\n             and Lloyd, A D and Forster, T and Mitchell, L and Ghazal, P and\n             Hill, J",\n  journal = "Methods of information in medicine",\n  volume  =  52,\n  number  =  1,\n  pages   = "80--90",\n  month   =  dec,\n  year    =  2012,\n  issn    = "0026-1270",\n  doi     = "10.3414/ME11-02-0039"\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n On the performance of a generic length scale turbulence model within an adaptive finite element ocean model.\n \n \n \n\n\n \n Hill, J.; Piggott, M.; Ham, D.; Popova, E.; and Srokosz, M.\n\n\n \n\n\n\n Ocean Modelling, 56: 1–15. July 2012.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@ARTICLE{Hill2012-kf,\n  title    = "{On the performance of a generic length scale turbulence model\n              within an adaptive finite element ocean model}",\n  author   = "Hill, J. and Piggott, M.D. and Ham, D.A. and Popova, E.E. and\n              Srokosz, M.A.",\n  abstract = "Research into the use of unstructured mesh methods for ocean\n              modelling has been growing steadily in the last few years. One\n              advanta ge of using unstructured meshes is that one can\n              concentrate resolution where it is needed. In addition, dynamic\n              adaptive mesh optimisation (DAM O) strategies allow resolution to\n              be concentrated when this is required. Despite the advantage that\n              DAMO gives in terms of improving the spatia l resolution where\n              and when required, small-scale turbulence in the oceans still\n              requires parameterisation. A two-equation, generic length scal e\n              (GLS) turbulence model (one equation for turbulent kinetic energy\n              and another for a generic turbulence length-scale quantity) adds\n              this param eterisation and can be used in conjunction with\n              adaptive mesh techniques. In this paper, an implementation of the\n              GLS turbulence parameterisati on is detailed in a\n              non-hydrostatic, finite-element, unstructured mesh ocean model,\n              Fluidity-ICOM. The implementation is validated by comparing to\n              both a laboratory-scale experiment and real-world observations,\n              on both fixed and adaptive meshes. The model performs well,\n              matching labora tory and observed data, with resolution being\n              adjusted as necessary by DAMO. Flexibility in the prognostic\n              fields used to construct the error m etric used in DAMO is\n              required to ensure best performance. Moreover, the adaptive mesh\n              models perform as well as fixed mesh models in terms of root mean\n              square error to observation or theoretical mixed layer depths,\n              but uses fewer elements and hence has a reduced computational\n              cost.",\n  journal  = "Ocean Modelling",\n  volume   =  56,\n  pages    = "1--15",\n  month    =  jul,\n  year     =  2012,\n  keywords = "adaptive mesh,finite element,turbulence\n              parameterisation,unstructured mesh",\n  issn     = "14635003",\n  doi      = "10.1016/j.ocemod.2012.07.003"\n}\n\n
\n
\n\n\n
\n Research into the use of unstructured mesh methods for ocean modelling has been growing steadily in the last few years. One advanta ge of using unstructured meshes is that one can concentrate resolution where it is needed. In addition, dynamic adaptive mesh optimisation (DAM O) strategies allow resolution to be concentrated when this is required. Despite the advantage that DAMO gives in terms of improving the spatia l resolution where and when required, small-scale turbulence in the oceans still requires parameterisation. A two-equation, generic length scal e (GLS) turbulence model (one equation for turbulent kinetic energy and another for a generic turbulence length-scale quantity) adds this param eterisation and can be used in conjunction with adaptive mesh techniques. In this paper, an implementation of the GLS turbulence parameterisati on is detailed in a non-hydrostatic, finite-element, unstructured mesh ocean model, Fluidity-ICOM. The implementation is validated by comparing to both a laboratory-scale experiment and real-world observations, on both fixed and adaptive meshes. The model performs well, matching labora tory and observed data, with resolution being adjusted as necessary by DAMO. Flexibility in the prognostic fields used to construct the error m etric used in DAMO is required to ensure best performance. Moreover, the adaptive mesh models perform as well as fixed mesh models in terms of root mean square error to observation or theoretical mixed layer depths, but uses fewer elements and hence has a reduced computational cost.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Preservation of forcing signals in shallow water carbonate sediments.\n \n \n \n\n\n \n Hill, J.; Wood, R.; Curtis, A.; and Tetzlaff, D. M.\n\n\n \n\n\n\n Sedimentary geology, 275-276(1): 79–92. July 2012.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@ARTICLE{Hill2012-gg,\n  title    = "{Preservation of forcing signals in shallow water carbonate\n              sediments}",\n  author   = "Hill, Jon and Wood, Rachel and Curtis, Andrew and Tetzlaff,\n              Daniel M.",\n  abstract = "No consensus has been reached on whether the metre-scale cycles\n              that commonly occur in peritidal carbonates are predominately a\n              product of external relative sea-level variations (allocycles) or\n              an intrinsic property of carbonate production generated via the\n              interaction of non-linear processes (autocycles). For any forcing\n              signal such as eustatic sea-level change, to be detectable in\n              stratigraphy its effects must be preserved. Here, a\n              deterministic, three-dimensional geological process model is used\n              to explore how such cycles are preserved in the geological record\n              in the presence of autocyclic processes. Each simulation produced\n              cycle thickness distributions that are statistically\n              indistinguishable from a theoretical Poisson process, regardless\n              of whether auto- or allo-cycles dominated. Spectral analysis of\n              depositional time series constructed from idealised geological\n              sections showed that all detectable signals occurred within the\n              Milankovitch forcing frequency bands, even when no Milankovitch\n              forcing was present. Thus, it is deduced that from any geological\n              section alone, external forcing signals are detectable but are\n              not distinguishable from autocyclically produced signals.\n              Interestingly, there is no correlation between the percentage of\n              sediment preserved and the accuracy with which signals are\n              detectable in the preserved sediment: in some model realisations,\n              even with preservation as low as 40\\%, the correct forcing signal\n              can be detected accurately while, conversely, sections with\n              preservation as high as 90\\% can have poor signal preservation.\n              The reverse can also be true in other models. It is therefore\n              concluded that distinguishing allocyclic and autocyclic forcing\n              in shallow marine or peritidal carbonate successions is likely to\n              be extremely difficult except in cases of extraordinary\n              sedimentary preservation and dating accuracy.",\n  journal  = "Sedimentary geology",\n  volume   = "275-276",\n  number   =  1,\n  pages    = "79--92",\n  month    =  jul,\n  year     =  2012,\n  keywords = "carbonate sedimentation,cyclicity,forward\n              modelling,preservation,spectral analysis",\n  issn     = "0037-0738",\n  doi      = "10.1016/j.sedgeo.2012.07.017"\n}\n\n
\n
\n\n\n
\n No consensus has been reached on whether the metre-scale cycles that commonly occur in peritidal carbonates are predominately a product of external relative sea-level variations (allocycles) or an intrinsic property of carbonate production generated via the interaction of non-linear processes (autocycles). For any forcing signal such as eustatic sea-level change, to be detectable in stratigraphy its effects must be preserved. Here, a deterministic, three-dimensional geological process model is used to explore how such cycles are preserved in the geological record in the presence of autocyclic processes. Each simulation produced cycle thickness distributions that are statistically indistinguishable from a theoretical Poisson process, regardless of whether auto- or allo-cycles dominated. Spectral analysis of depositional time series constructed from idealised geological sections showed that all detectable signals occurred within the Milankovitch forcing frequency bands, even when no Milankovitch forcing was present. Thus, it is deduced that from any geological section alone, external forcing signals are detectable but are not distinguishable from autocyclically produced signals. Interestingly, there is no correlation between the percentage of sediment preserved and the accuracy with which signals are detectable in the preserved sediment: in some model realisations, even with preservation as low as 40%, the correct forcing signal can be detected accurately while, conversely, sections with preservation as high as 90% can have poor signal preservation. The reverse can also be true in other models. It is therefore concluded that distinguishing allocyclic and autocyclic forcing in shallow marine or peritidal carbonate successions is likely to be extremely difficult except in cases of extraordinary sedimentary preservation and dating accuracy.\n
\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2011\n \n \n (2)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Optimisation and parallelisation of the partitioning around medoids function in R.\n \n \n \n\n\n \n Piotrowski, M; Sloan, T M; Mewsissen, M; Forster, T; Mitchell, L; Petrou, S; Dobrezelecki, B; Ghazal, P; Trew, A; and Hill, J\n\n\n \n\n\n\n In High Performance Computing and Simulation (HPCS), 2011 International Conference on, pages 707–713, July 2011. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@INPROCEEDINGS{Piotrowski2011-mo,\n  title     = "{Optimisation and parallelisation of the partitioning around\n               medoids function in R}",\n  booktitle = "{High Performance Computing and Simulation (HPCS), 2011\n               International Conference on}",\n  author    = "Piotrowski, M and Sloan, T M and Mewsissen, M and Forster, T and\n               Mitchell, L and Petrou, S and Dobrezelecki, B and Ghazal, P and\n               Trew, A and Hill, J",\n  abstract  = "R is a free statistical programming language commonly used for\n               the analysis of high-throughput microarray and other data. It is\n               currently unable to easily utilise multi processor architectures\n               without substantial changes to existing R scripts. Further,\n               working with large volumes of data often leads to slow\n               processing and even memory allocation faults. A recent survey\n               highlighted clustering algorithms as both computation and data\n               intensive bottlenecks in post-genomic data analyses. These\n               algorithms aim to sort numeric vectors (such as gene expression\n               profiles) into groups by minimising vector distances within\n               groups and maximising them between groups. This paper describes\n               the optimisation and parallelisation of a popular clustering\n               algorithm, partitioning around medoids (PAM), for the Simple\n               Parallel R INTerface (SPRINT). SPRINT allows R users to exploit\n               high performance computing systems without expert knowledge of\n               such systems. This paper reports on a serial optimisation of the\n               original code and a subsequent parallel implementation. The\n               parallel implementation enables the processing of data sets that\n               exceed the available physical memory and can yield, depending on\n               the data set, over 100-fold increase in performance.",\n  pages     = "707--713",\n  month     =  jul,\n  year      =  2011,\n  keywords  = "biology computing;genomics;microprocessor chips;multiprocessing\n               systems;optimisation;parallel architectures;parallel\n               processing;pattern clustering;statistical analysis;R\n               scripts;clustering algorithms;data intensive bottlenecks;high\n               throughput microarray;medoids function;memory allocation\n               faults;multiprocessor architectures;optimisation;partitioning\n               around medoids;partitioning parallelisation;post genomic data\n               analyses;simple parallel R interface;statistical programming\n               language;Algorithm design and analysis;Benchmark\n               testing;Clustering algorithms;High performance computing;Memory\n               management;Optimization;Partitioning algorithms;Clustering;High\n               Performance Computing;Message Passing Interface;Microarray;R",\n  doi       = "10.1109/HPCSim.2011.5999896"\n}\n\n
\n
\n\n\n
\n R is a free statistical programming language commonly used for the analysis of high-throughput microarray and other data. It is currently unable to easily utilise multi processor architectures without substantial changes to existing R scripts. Further, working with large volumes of data often leads to slow processing and even memory allocation faults. A recent survey highlighted clustering algorithms as both computation and data intensive bottlenecks in post-genomic data analyses. These algorithms aim to sort numeric vectors (such as gene expression profiles) into groups by minimising vector distances within groups and maximising them between groups. This paper describes the optimisation and parallelisation of a popular clustering algorithm, partitioning around medoids (PAM), for the Simple Parallel R INTerface (SPRINT). SPRINT allows R users to exploit high performance computing systems without expert knowledge of such systems. This paper reports on a serial optimisation of the original code and a subsequent parallel implementation. The parallel implementation enables the processing of data sets that exceed the available physical memory and can yield, depending on the data set, over 100-fold increase in performance.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Optimization of a parallel permutation testing function for the SPRINT R package.\n \n \n \n\n\n \n Petrou, S.; Sloan, T. M; Mewissen, M.; Forster, T.; Piotrowski, M.; Dobrzelecki, B.; Ghazal, P.; Trew, A.; and Hill, J.\n\n\n \n\n\n\n Concurrency and computation: practice & experience, 23(17): 2258–2268. December 2011.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@ARTICLE{Petrou2011-sv,\n  title       = "{Optimization of a parallel permutation testing function for\n                 the SPRINT R package}",\n  author      = "Petrou, Savvas and Sloan, Terence M and Mewissen, Muriel and\n                 Forster, Thorsten and Piotrowski, Michal and Dobrzelecki,\n                 Bartosz and Ghazal, Peter and Trew, Arthur and Hill, Jon",\n  affiliation = "Edinburgh Parallel Computing Centre, University of Edinburgh\n                 Edinburgh, EH9 3JZ, UK.",\n  abstract    = "The statistical language R and its Bioconductor package are\n                 favoured by many biostatisticians for processing microarray\n                 data. The amount of data produced by some analyses has reached\n                 the limits of many common bioinformatics computing\n                 infrastructures. High Performance Computing systems offer a\n                 solution to this issue. The Simple Parallel R Interface\n                 (SPRINT) is a package that provides biostatisticians with easy\n                 access to High Performance Computing systems and allows the\n                 addition of parallelized functions to R. Previous work has\n                 established that the SPRINT implementation of an R permutation\n                 testing function has close to optimal scaling on up to 512\n                 processors on a supercomputer. Access to supercomputers,\n                 however, is not always possible, and so the work presented\n                 here compares the performance of the SPRINT implementation on\n                 a supercomputer with benchmarks on a range of platforms\n                 including cloud resources and a common desktop machine with\n                 multiprocessing capabilities. Copyright \\copyright{} 2011 John\n                 Wiley \\& Sons, Ltd.",\n  journal     = "Concurrency and computation: practice \\& experience",\n  volume      =  23,\n  number      =  17,\n  pages       = "2258--2268",\n  month       =  dec,\n  year        =  2011,\n  issn        = "1532-0626",\n  pmid        = "23335858",\n  doi         = "10.1002/cpe.1787",\n  pmc         = "PMC3546371"\n}\n\n
\n
\n\n\n
\n The statistical language R and its Bioconductor package are favoured by many biostatisticians for processing microarray data. The amount of data produced by some analyses has reached the limits of many common bioinformatics computing infrastructures. High Performance Computing systems offer a solution to this issue. The Simple Parallel R Interface (SPRINT) is a package that provides biostatisticians with easy access to High Performance Computing systems and allows the addition of parallelized functions to R. Previous work has established that the SPRINT implementation of an R permutation testing function has close to optimal scaling on up to 512 processors on a supercomputer. Access to supercomputers, however, is not always possible, and so the work presented here compares the performance of the SPRINT implementation on a supercomputer with benchmarks on a range of platforms including cloud resources and a common desktop machine with multiprocessing capabilities. Copyright © 2011 John Wiley & Sons, Ltd.\n
\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2010\n \n \n (1)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n The supertree tool kit.\n \n \n \n\n\n \n Davis, K. E; and Hill, J.\n\n\n \n\n\n\n BMC research notes, 3: 95. April 2010.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@ARTICLE{Davis2010-hn,\n  title       = "{The supertree tool kit}",\n  author      = "Davis, Katie E and Hill, Jon",\n  affiliation = "Faculty of Biomedical \\& Life Sciences, Division of Ecology \\&\n                 Evolutionary Biology, Graham Kerr Building, University of\n                 Glasgow, Glasgow, G12 8QQ, UK. k.davis@udcf.gla.ac.uk.",\n  abstract    = "BACKGROUND: Large phylogenies are crucial for many areas of\n                 biological research. One method of creating such large\n                 phylogenies is the supertree method, but creating supertrees\n                 containing thousands of taxa, and hence providing a\n                 comprehensive phylogeny, requires hundred or even thousands of\n                 source input trees. Managing and processing these data in a\n                 systematic and error-free manner is challenging and will\n                 become even more so as supertrees contain ever increasing\n                 numbers of taxa. Protocols for processing input source\n                 phylogenies have been proposed to ensure data quality, but no\n                 robust software implementations of these protocols as yet\n                 exist. FINDINGS: The aim of the Supertree Tool Kit (STK) is to\n                 aid in the collection, storage and processing of input source\n                 trees for use in supertree analysis. It is therefore\n                 invaluable when creating supertrees containing thousands of\n                 taxa and hundreds of source trees. The STK is a Perl module\n                 with executable scripts to carry out various steps in the\n                 processing protocols. In order to aid processing we have added\n                 meta-data, via XML, to each tree which contains information\n                 such as the bibliographic source information for the tree and\n                 how the data were derived, for instance the character data\n                 used to carry out the original analysis. These data are\n                 essential parts of previously proposed protocols. CONCLUSIONS:\n                 The STK is a bioinformatics tool designed to make it easier to\n                 process source phylogenies for inclusion in supertree analysis\n                 from hundreds or thousands of input source trees, whilst\n                 reducing potential errors and enabling easy sharing of such\n                 datasets. It has been successfully used to create the largest\n                 known supertree to date containing over 5000 taxa from over\n                 700 source phylogenies.",\n  journal     = "BMC research notes",\n  volume      =  3,\n  pages       = "95",\n  month       =  apr,\n  year        =  2010,\n  issn        = "1756-0500",\n  pmid        = "20377857",\n  doi         = "10.1186/1756-0500-3-95",\n  pmc         = "PMC2872655"\n}\n\n
\n
\n\n\n
\n BACKGROUND: Large phylogenies are crucial for many areas of biological research. One method of creating such large phylogenies is the supertree method, but creating supertrees containing thousands of taxa, and hence providing a comprehensive phylogeny, requires hundred or even thousands of source input trees. Managing and processing these data in a systematic and error-free manner is challenging and will become even more so as supertrees contain ever increasing numbers of taxa. Protocols for processing input source phylogenies have been proposed to ensure data quality, but no robust software implementations of these protocols as yet exist. FINDINGS: The aim of the Supertree Tool Kit (STK) is to aid in the collection, storage and processing of input source trees for use in supertree analysis. It is therefore invaluable when creating supertrees containing thousands of taxa and hundreds of source trees. The STK is a Perl module with executable scripts to carry out various steps in the processing protocols. In order to aid processing we have added meta-data, via XML, to each tree which contains information such as the bibliographic source information for the tree and how the data were derived, for instance the character data used to carry out the original analysis. These data are essential parts of previously proposed protocols. CONCLUSIONS: The STK is a bioinformatics tool designed to make it easier to process source phylogenies for inclusion in supertree analysis from hundreds or thousands of input source trees, whilst reducing potential errors and enabling easy sharing of such datasets. It has been successfully used to create the largest known supertree to date containing over 5000 taxa from over 700 source phylogenies.\n
\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2009\n \n \n (1)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Modeling shallow marine carbonate depositional systems.\n \n \n \n\n\n \n Hill, J.; Tetzlaff, D.; Curtis, A.; and Wood, R.\n\n\n \n\n\n\n Computers & geosciences, 35(9): 1862–1874. September 2009.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@ARTICLE{Hill2009-he,\n  title    = "{Modeling shallow marine carbonate depositional systems}",\n  author   = "Hill, Jon and Tetzlaff, Daniel and Curtis, Andrew and Wood,\n              Rachel",\n  abstract = "Geological Process Models (GPMs) have been used in the past to\n              simulate the distinctive stratigraphies formed in carbonate\n              sediments, and to explore the interaction of controls that\n              produce heterogeneity. Previous GPMs have only indirectly\n              included the supersaturation of calcium carbonate in seawater, a\n              key physicochemical control on carbonate production in reef and\n              lagoon environments, by modifying production rates based on the\n              distance from open marine sources. We here use the residence time\n              of water in the lagoon and reef areas as a proxy for the\n              supersaturation state of carbonate in a new process model,\n              Carbonate GPM. Residence times in the model are calculated using\n              a particle-tracking algorithm. Carbonate production is also\n              controlled by water depth and wave power dissipation. Once\n              deposited, sediment can be eroded, transported and re-deposited\n              via both advective and diffusive processes. We show that using\n              residence time as a control on production might explain the\n              formation of non-ordered, three-dimensional carbonate\n              stratigraphies by lateral shifts in the locus of carbonate\n              deposition on timescales comparable to so-called 5th-order\n              sea-level oscillations. We also show that representing\n              supersaturation as a function of distance from open marine\n              sources, as in previous models, cannot correctly predict the\n              supersaturation distribution over a lagoon due to the intricacies\n              of the flow regime.",\n  journal  = "Computers \\& geosciences",\n  volume   =  35,\n  number   =  9,\n  pages    = "1862--1874",\n  month    =  sep,\n  year     =  2009,\n  keywords = "Carbonate",\n  issn     = "0098-3004",\n  doi      = "10.1016/j.cageo.2008.12.006"\n}\n\n
\n
\n\n\n
\n Geological Process Models (GPMs) have been used in the past to simulate the distinctive stratigraphies formed in carbonate sediments, and to explore the interaction of controls that produce heterogeneity. Previous GPMs have only indirectly included the supersaturation of calcium carbonate in seawater, a key physicochemical control on carbonate production in reef and lagoon environments, by modifying production rates based on the distance from open marine sources. We here use the residence time of water in the lagoon and reef areas as a proxy for the supersaturation state of carbonate in a new process model, Carbonate GPM. Residence times in the model are calculated using a particle-tracking algorithm. Carbonate production is also controlled by water depth and wave power dissipation. Once deposited, sediment can be eroded, transported and re-deposited via both advective and diffusive processes. We show that using residence time as a control on production might explain the formation of non-ordered, three-dimensional carbonate stratigraphies by lateral shifts in the locus of carbonate deposition on timescales comparable to so-called 5th-order sea-level oscillations. We also show that representing supersaturation as a function of distance from open marine sources, as in previous models, cannot correctly predict the supersaturation distribution over a lagoon due to the intricacies of the flow regime.\n
\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2008\n \n \n (1)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n SPRINT: a new parallel framework for R.\n \n \n \n\n\n \n Hill, J.; Hambley, M.; Forster, T.; Mewissen, M.; Sloan, T. M; Scharinger, F.; Trew, A.; and Ghazal, P.\n\n\n \n\n\n\n BMC bioinformatics, 9: 558. December 2008.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@ARTICLE{Hill2008-hg,\n  title       = "{SPRINT: a new parallel framework for R}",\n  author      = "Hill, Jon and Hambley, Matthew and Forster, Thorsten and\n                 Mewissen, Muriel and Sloan, Terence M and Scharinger, Florian\n                 and Trew, Arthur and Ghazal, Peter",\n  affiliation = "EPCC, The University of Edinburgh, James Clerk Maxwell\n                 Building, Mayfield Road, Edinburgh EH93JZ, UK.\n                 j.hill@epcc.ed.ac.uk",\n  abstract    = "BACKGROUND: Microarray analysis allows the simultaneous\n                 measurement of thousands to millions of genes or sequences\n                 across tens to thousands of different samples. The analysis of\n                 the resulting data tests the limits of existing bioinformatics\n                 computing infrastructure. A solution to this issue is to use\n                 High Performance Computing (HPC) systems, which contain many\n                 processors and more memory than desktop computer systems. Many\n                 biostatisticians use R to process the data gleaned from\n                 microarray analysis and there is even a dedicated group of\n                 packages, Bioconductor, for this purpose. However, to exploit\n                 HPC systems, R must be able to utilise the multiple processors\n                 available on these systems. There are existing modules that\n                 enable R to use multiple processors, but these are either\n                 difficult to use for the HPC novice or cannot be used to solve\n                 certain classes of problems. A method of exploiting HPC\n                 systems, using R, but without recourse to mastering parallel\n                 programming paradigms is therefore necessary to analyse\n                 genomic data to its fullest. RESULTS: We have designed and\n                 built a prototype framework that allows the addition of\n                 parallelised functions to R to enable the easy exploitation of\n                 HPC systems. The Simple Parallel R INTerface (SPRINT) is a\n                 wrapper around such parallelised functions. Their use requires\n                 very little modification to existing sequential R scripts and\n                 no expertise in parallel computing. As an example we created a\n                 function that carries out the computation of a pairwise\n                 calculated correlation matrix. This performs well with SPRINT.\n                 When executed using SPRINT on an HPC resource of eight\n                 processors this computation reduces by more than three times\n                 the time R takes to complete it on one processor. CONCLUSION:\n                 SPRINT allows the biostatistician to concentrate on the\n                 research problems rather than the computation, while still\n                 allowing exploitation of HPC systems. It is easy to use and\n                 with further development will become more useful as more\n                 functions are added to the framework.",\n  journal     = "BMC bioinformatics",\n  volume      =  9,\n  pages       = "558",\n  month       =  dec,\n  year        =  2008,\n  issn        = "1471-2105",\n  pmid        = "19114001",\n  doi         = "10.1186/1471-2105-9-558",\n  pmc         = "PMC2628907"\n}\n\n
\n
\n\n\n
\n BACKGROUND: Microarray analysis allows the simultaneous measurement of thousands to millions of genes or sequences across tens to thousands of different samples. The analysis of the resulting data tests the limits of existing bioinformatics computing infrastructure. A solution to this issue is to use High Performance Computing (HPC) systems, which contain many processors and more memory than desktop computer systems. Many biostatisticians use R to process the data gleaned from microarray analysis and there is even a dedicated group of packages, Bioconductor, for this purpose. However, to exploit HPC systems, R must be able to utilise the multiple processors available on these systems. There are existing modules that enable R to use multiple processors, but these are either difficult to use for the HPC novice or cannot be used to solve certain classes of problems. A method of exploiting HPC systems, using R, but without recourse to mastering parallel programming paradigms is therefore necessary to analyse genomic data to its fullest. RESULTS: We have designed and built a prototype framework that allows the addition of parallelised functions to R to enable the easy exploitation of HPC systems. The Simple Parallel R INTerface (SPRINT) is a wrapper around such parallelised functions. Their use requires very little modification to existing sequential R scripts and no expertise in parallel computing. As an example we created a function that carries out the computation of a pairwise calculated correlation matrix. This performs well with SPRINT. When executed using SPRINT on an HPC resource of eight processors this computation reduces by more than three times the time R takes to complete it on one processor. CONCLUSION: SPRINT allows the biostatistician to concentrate on the research problems rather than the computation, while still allowing exploitation of HPC systems. It is easy to use and with further development will become more useful as more functions are added to the framework.\n
\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2005\n \n \n (1)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Complexity in Carbonate Systems.\n \n \n \n\n\n \n Hill, J.; Curtis, A.; Wood, R A; and Tetzlaff, D. M\n\n\n \n\n\n\n In Cheng, Q; and BonhamCarter, G, editor(s), GIS and Spatial Analysis, Vol 1 and 2, pages 1141–1146, 2005. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@INPROCEEDINGS{Hill2005-fe,\n  title     = "{Complexity in Carbonate Systems}",\n  booktitle = "{GIS and Spatial Analysis, Vol 1 and 2}",\n  author    = "Hill, Jon and Curtis, Andrew and Wood, R A and Tetzlaff, Daniel\n               M",\n  editor    = "Cheng, Q and BonhamCarter, G",\n  abstract  = "Carbonate sediments are often highly heterogeneous due to the\n               numerous factors that control deposition. Several of these\n               processes are non-linear, so that depositional stratigraphies\n               may consequently form complicated, perhaps even chaotic,\n               geometries. Forward modelling can help us to understand the\n               interactions between the various processes involved. Here we\n               present a new 3D forward model of carbonate production and\n               deposition, which is specifically designed to test the\n               interactions between the three main depositional controls: light\n               intensity, wave power and carbonate supersaturation, the latter\n               of which is unique to this model. The results of this analysis\n               suggest that it may be impossible to predict in detail the\n               stratigraphy of carbonate deposits due to its super-sensitivity\n               to initial conditions or controlling parameters. This reinforces\n               the conclusions reached using previous process models. However,\n               unlike previous models, our model does not explicitly include\n               nonlinear biological interactions as a control. Instead it shows\n               that similar supersensitive behaviour may originate from\n               physicochemical processes alone.",\n  pages     = "1141--1146",\n  year      =  2005\n}\n\n
\n
\n\n\n
\n Carbonate sediments are often highly heterogeneous due to the numerous factors that control deposition. Several of these processes are non-linear, so that depositional stratigraphies may consequently form complicated, perhaps even chaotic, geometries. Forward modelling can help us to understand the interactions between the various processes involved. Here we present a new 3D forward model of carbonate production and deposition, which is specifically designed to test the interactions between the three main depositional controls: light intensity, wave power and carbonate supersaturation, the latter of which is unique to this model. The results of this analysis suggest that it may be impossible to predict in detail the stratigraphy of carbonate deposits due to its super-sensitivity to initial conditions or controlling parameters. This reinforces the conclusions reached using previous process models. However, unlike previous models, our model does not explicitly include nonlinear biological interactions as a control. Instead it shows that similar supersensitive behaviour may originate from physicochemical processes alone.\n
\n\n\n
\n\n\n\n\n\n
\n
\n\n\n\n\n
\n\n\n \n\n \n \n \n \n\n
\n"}; document.write(bibbase_data.data);