Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 424

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Assessing climate change impacts on open sandy coasts: A review

Open access
Ranasinghe, Roshanka·2016·Earth-Science Reviews

Abstract

The world's coastlines are shaped by mean sea level, wave conditions, storm surge, and riverflows. Climate change (CC) driven variations in these environmental forcings will inevitably have a profound effect on the coastal zone. Given the continued growth of coastal communities and extremely high value of coastal assets worldwide, effective adaptation measures underpinned by reliable coastal CC impact assessments are essential to avoid massive future coastal zone losses. This review aims to promote the adoption of best practice in local scale assessments of potential physical impacts of CC on open sandy coasts by (a) summarising the potential first order physical impacts of CC, (b) suggesting a standard modelling framework for local scale CC impact assessments, (c) identifying future research needs to facilitate the effective implementation of the prescribed modelling framework, (d) suggesting ways to address the identified research needs, and (e) discussing how existing methods/tools may be used for CC impact assessments until more advanced methods/tools are developed.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.earscirev.2016.07.011

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 2 references

Cited by

See all 424

Metadata

Authors
Ranasinghe, R.
Venue
Earth-Science Reviews
Publisher
Elsevier BV
Published
2016-09
Volume
160
Pages
320-332
ISSN
0012-8252 (ISSN-L)
OpenAlex
W2497060941
Cited by
424
References
2
FWCI
25.88
Type
journal article
Language
en
Open access
hybrid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Assessing climate change impacts on open sandy coasts: A review. https://app.cochat.ai/papers/10.1016/j.earscirev.2016.07.011
The paper
Ranasinghe, R. (2016). Assessing climate change impacts on open sandy coasts: A review. Earth-Science Reviews. https://doi.org/10.1016/j.earscirev.2016.07.011

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.