On the public citation graph

Performance of WAVEWATCH-III and SWAN Models in the North Sea

https://doi.org/10.1115/omae2018-77291
0 signed · 17 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4133433openalex-extracted
inferred← citeshttps://doi.org/10.1016/j.envsoft.2020.104748openalex-snapshot
Advancing real-time flood prediction in large estuaries: iFLOOD a fully coupled surge-wave automated web-based guidance system
inferred← citeshttps://doi.org/10.1016/j.envsoft.2023.105624openalex-snapshot
Application of SWAN model for wave forecasting in the southern Baltic Sea supplemented with measurement and satellite data
inferred← citeshttps://doi.org/10.1016/j.oceaneng.2020.106959openalex-snapshot
Performance evaluation of input-dissipation parameterizations in WAVEWATCH III and comparison of wave hindcast with nested WAVEWATCH III-SWAN in the Indian Seas
inferred← citeshttps://doi.org/10.1016/j.oceaneng.2021.109280openalex-snapshot
Machine learning for satellite-based sea-state prediction in an offshore windfarm
inferred← citeshttps://doi.org/10.1016/j.oceaneng.2021.109550openalex-snapshot
On the improvements in nearshore wave height predictions using nested SWAN-SWASH modelling in the eastern coastal waters of India
inferred← citeshttps://doi.org/10.1016/j.oceaneng.2023.115181openalex-snapshot
Assessment of input and dissipation source terms in the spectral wave model during tropical cyclones of varying intensity in Bay of Bengal
inferred← citeshttps://doi.org/10.1016/j.oceaneng.2025.122510openalex-snapshot
Implementation and calibration of a nested WW3-SWAN model for simulating waves under varying and extreme weather conditions: Case Study of the Algerian Coast
inferred← citeshttps://doi.org/10.1016/j.ocemod.2021.101878openalex-snapshot
Wave-influenced formation of new ice: Model building and a test case
inferred← citeshttps://doi.org/10.1016/j.rse.2021.112588openalex-snapshot
Satellite data for the offshore renewable energy sector: Synergies and innovation opportunities
inferred← citeshttps://doi.org/10.1080/19942060.2021.1974947openalex-snapshot
Significant wave height forecasting using WRF-CLSF model in Taiwan strait
inferred← citeshttps://doi.org/10.1201/9781003360773-7openalex-snapshot
Impacts of physical calibration of a spectral wave model and effects of using different temporal wind inputs
inferred← citeshttps://doi.org/10.3103/s1068373923030093openalex-snapshot
Near-shore and Regional Validation of the WAVEWATCH III and SWAN Wave Models through In situ and Satellite Observations in the Barcelona Bay and Algerian Coast
inferred← citeshttps://doi.org/10.3389/fmars.2024.1374902openalex-snapshot
A transformer-based method for correcting significant wave height numerical forecasting errors
inferred← citeshttps://doi.org/10.3390/atmos10090551openalex-snapshot
North Sea Wave Database (NSWD) and the Need for Reliable Resource Data: A 38 Year Database for Metocean and Wave Energy Assessments
inferred← citeshttps://doi.org/10.3390/atmos15101242openalex-snapshot
WRF-ROMS-SWAN Coupled Model Simulation Study: Effect of Atmosphere–Ocean Coupling on Sea Level Predictions Under Tropical Cyclone and Northeast Monsoon Conditions in Hong Kong
inferred← citeshttps://doi.org/10.3390/jmse13061196openalex-snapshot
Regional Wave Analysis in the East China Sea Based on the SWAN Model
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.