Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 4,535

The DOI matches its Crossref record.

A third‐generation wave model for coastal regions: 1. Model description and validation

Open access
Booij, N., Ris, R. C., Holthuijsen, L. H.·1999·Journal of Geophysical Research: Oceans

Abstract

A third‐generation numerical wave model to compute random, short‐crested waves in coastal regions with shallow water and ambient currents (Simulating Waves Nearshore (SWAN)) has been developed, implemented, and validated. The model is based on a Eulerian formulation of the discrete spectral balance of action density that accounts for refractive propagation over arbitrary bathymetry and current fields. It is driven by boundary conditions and local winds. As in other third‐generation wave models, the processes of wind generation, whitecapping, quadruplet wave‐wave interactions, and bottom dissipation are represented explicitly. In SWAN, triad wave‐wave interactions and depth‐induced wave breaking are added. In contrast to other third‐generation wave models, the numerical propagation scheme is implicit, which implies that the computations are more economic in shallow water. The model results agree well with analytical solutions, laboratory observations, and (generalized) field observations.

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 · 10.1029/98jc02622

Cites

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

Cited by

See all 4,535

Metadata

Authors
Booij, N., Ris, R. C., & Holthuijsen, L. H.
Venue
Journal of Geophysical Research: Oceans
Published
1999-04-15
Volume
104
Issue
C4
Pages
7649-7666
ISSN
0148-0227 (ISSN-L)
OpenAlex
W2113548869
Cited by
4,535
References
0
FWCI
13.93
Type
journal article
Language
en
Open access
bronze

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: A third‐generation wave model for coastal regions: 1. Model description and validation. https://app.cochat.ai/papers/10.1029/98jc02622
The paper
Booij, N., Ris, R. C., & Holthuijsen, L. H. (1999). A third‐generation wave model for coastal regions: 1. Model description and validation. Journal of Geophysical Research: Oceans. https://doi.org/10.1029/98jc02622

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.