A new perspective on meso-scale shoreline dynamics through data-driven analysis
- Submitting institution
-
Swansea University / Prifysgol Abertawe
- Unit of assessment
- 12 - Engineering
- Output identifier
- 50674
- Type
- D - Journal article
- DOI
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10.1016/j.geomorph.2019.04.033
- Title of journal
- Geomorphology
- Article number
- -
- First page
- 169
- Volume
- 341
- Issue
- -
- ISSN
- 0169-555X
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
-
- Research group(s)
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5 - ZCCE - Zienkiewicz Centre for Computational Engineering
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This output is part of the portfolio of outputs from the iCOASST project, funded by NERC (NE/J005606/1, £370,385) and the Environment Agency, (https://nerc.ukri.org/research/funded/programmes/coastal/icoasst-final-report/). Further work to implement results and methods developed in the project has been funded by the Environment Agency, (https://www.channelcoast.org/iCOASST/icoasstforendusers/).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -