Communicating Simulation Outputs of Mesoscale Coastal Evolution to Specialist and Non-Specialist Audiences release_p756cxmd6rdz7kk3b62xw3jntq

by Andres Payo, Jonathan French, James Sutherland, Michael A. Ellis, Michael Walkden

Published in Journal of Marine Science and Engineering by MDPI AG.

2020   p235

Abstract

Coastal geomorphologists and engineers worldwide are increasingly facing the non-trivial challenge of visualising and communicating mesoscale modelling assumptions, uncertainties and outcomes to both coastal specialists and decision-makers. Visualisation of simulation outcomes is a non-trivial problem because the more abstract scientific visualisation techniques favoured by specialists for data exploration and hypothesis-testing are not always as successful at engaging decision-makers and planners. In this paper, we show how the risk of simulation model outcomes becoming disconnected from more realistic visualisations of model outcomes can be minimised by using the Coastal Modelling Environment (CoastalME). CoastalME is a modelling framework for coastal mesoscale morphological modelling that can achieve close linkages between the scientific model abstractions, in the form of lines, areas and volumes, and the 3D representation of topographic and bathymetric surfaces and shallow sub-surface sediment composition. We propose and illustrate through the study case of Happisburgh (eastern England, UK), a transparent methodology to merge the required variety of data types and formats into a 3D-thickness model that is used to initialise a simulation. We conclude by highlighting some of the barriers to the adoption of the methodology proposed.
In application/xml+jats format

Archived Files and Locations

application/pdf  5.4 MB
file_2lbvkm7zkzfqfpmiswqlrfm5vm
res.mdpi.com (publisher)
web.archive.org (webarchive)

Web Captures

https://www.mdpi.com/2077-1312/8/4/235/htm
2022-02-01 11:29:51 | 60 resources
webcapture_jv5shsglwfb45hqo6lttjs77sy
web.archive.org (webarchive)
Read Archived PDF
Preserved and Accessible
Type  article-journal
Stage   published
Date   2020-04-01
Language   en ?
Journal Metadata
Open Access Publication
In DOAJ
In ISSN ROAD
In Keepers Registry
ISSN-L:  2077-1312
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
Catalog Record
Revision: e680332f-2a75-4a8f-912b-9a71c9ee6b28
API URL: JSON