The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The creation of a comprehensive metocean data set for offshore wind turbine simulations
Abstract
A database of meteorological and ocean conditions is presented for use in offshore wind energy research and design. The original data are from 23 ocean sites around the USA and were obtained from the National Data Buoy Center run by the National Oceanic and Atmospheric Administration. The data are presented in a processed form that includes the variables of interest for offshore wind energy design: wind speed, significant wave height, wave peak‐spectral period, wind direction and wave direction. For each site, a binning process is conducted to create conditional probability functions for each of these variables. The sites are then grouped according to geographic location and combined to create three representative sites, including a West Coast site, an East Coast site and a Gulf of Mexico site. Both the processed data and the probability distribution parameters for the individual and representative sites are being hosted on a publicly available domain by the National Renewable Energy Laboratory, with the intent of providing a standard basis of comparison for meteorological and ocean conditions for offshore wind energy research worldwide. Copyright © 2015 John Wiley & Sons, Ltd.
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“It is known from literature 44,45 that waves of such short periods are highly improbable and hence resonance with wave excitation frequency is ignored.”
From Vibration control of spar-type floating offshore wind turbine towers using a tuned mass-damper-inerter (2020) · cites this paper as [45]
Citations
Cites
Probability distributions for offshore wind speeds
Morgan, E. C., Lackner, M., Vogel, R. M., & Baise, L. G. (2011) · Energy Conversion and Management · doi:10.1016/j.enconman.2010.06.015 · Cited by 468
Self-citationDetermining equivalent damage loading for full-scale wind turbine blade fatigue tests
Freebury, G., & Musial, W. (2000) · ASME Wind Energy Symposium · doi:10.2514/6.2000-50 · Cited by 130
Analogues of the Normal Distribution on the Circle and the Sphere
Breitenberger, E. (1963) · Biometrika · doi:10.1093/biomet/50.1-2.81 · Cited by 70
(2003) · doi:10.1175/1520-0442(2003)016
Research works printed but not linked: 1
- Satheesh SP, 2005, Weibull and gamma distributions for wave parameter predictions, Journal of Indian Geophysical Union, 9, 55
Cited by
Sarkar, S., & Fitzgerald, B. (2020) · Structural Control and Health Monitoring · doi:10.1002/stc.2471 · Cited by 186
Metadata
- Authors
- Stewart, G. M., Robertson, A., Jonkman, J., & Lackner, M. A.
- Affiliations
- University of Massachusetts Amherst (US)
- National Laboratory of the Rockies (US)
- Venue
- Wind Energy
- Publisher
- Wiley
- Published
- 2015-07-30
- Volume
- 19
- Issue
- 6
- Pages
- 1151-1159
- ISSN
- 1095-4244 (ISSN-L)
- 1099-1824
- OpenAlex
- W2142352215
- Cited by
- 95
- References
- 4
- Citations by year
- 2026: 15 · 2025: 13 · 2024: 12 · 2023: 16 · 2022: 8 · 2021: 3 · 2020: 10 · 2019: 4 · 2018: 7 · 2017: 4 · 2016: 2 · 2015: 1
- FWCI
- 6.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Wind Energy (publishedVersion)
- Funders
- IGERT: Offshore Wind Energy Engineering, Environmental Science, and Policy (1086684)
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Wind Energy Research and Development
- Physical Sciences › Engineering › Ocean Engineering › Wave and Wind Energy Systems
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Ocean Waves and Remote Sensing
- Keywords
- metocean data, offshore wind energy, wind speed, significant wave height, wind direction, wave direction, conditional distributions, binning, National Data Buoy Center, wind turbine design
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- CoChat. (2026). Citation check: The creation of a comprehensive metocean data set for offshore wind turbine simulations. https://app.cochat.ai/papers/10.1002/we.1881
- The paper
- Stewart, G. M., Robertson, A., Jonkman, J., & Lackner, M. A. (2016). The creation of a comprehensive metocean data set for offshore wind turbine simulations. Wind Energy. https://doi.org/10.1002/we.1881
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.