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Dangosydd eitem ddigidol (DOI)

  • James Scourse
    College of Life and Environmental Sciences, University of Exeter, Penryn Campus, Penryn, 9 TR10 9EZ, UK.
  • Sophie Ward
  • Adam Wainwright
  • Sarah Bradley
    University of Sheffield
  • Jerome Keaton Wilson
    University of Arizona, Tucson
  • Jessica Guo
    University of Arizona, Tucson
ABSTRACTRelative sea level (RSL) predictions based on glacial isostatic adjustment (GIA) simulations and palaeotidal predictions generated by hydrodynamic models using GIA‐generated palaeotopographies are available in the published literature, and datasets are available via data repositories. However, these data are often difficult to extract for specific locations or timeslices, requiring users to request datasets from corresponding authors. To overcome the intractability of these data and to enable users to interrogate datasets themselves without requiring offline requests, we have developed PALTIDE, an online visualization tool with intuitive user interface accessible at https://shiny.bangor.ac.uk/paleotidal/. The model domain for this interactive visualization tool is the northwest European continental shelf, covering the period from the Last Glacial Maximum (LGM) to the present day, and is based on previous GIA simulations by Bradley and colleagues and hydrodynamic simulations using Regional Ocean Modelling System (ROMS) published by Ward and colleagues. The tool is developed in R and utilizes a number of packages including shiny and bslib for the frontend, and arrow, raster and the tidyverse for backend data processing. The tool enables visualizations and data downloads for RSL, tidal amplitude and tide‐dependent parameters for any location within the model domain over 1000‐year timesteps from the LGM to the present.

Allweddeiriau

Iaith wreiddiolSaesneg
Tudalennau (o-i)831-838
Nifer y tudalennau8
CyfnodolynJournal of Quaternary Science
Cyfrol39
Rhif y cyfnodolyn5
Dyddiad ar-lein cynnar19 Maw 2024
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - Gorff 2024

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Nid oes data ar gael
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