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Cited by 95Wind Energy Research and DevelopmentWave and Wind Energy SystemsOcean Waves and Remote Sensing

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.

Overview

Integrity signals

Registry

Crossref · 10.1002/we.1881

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

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Citations

Cites

Show all 4 references

Research works printed but not linked: 1

  1. Satheesh SP, 2005, Weibull and gamma distributions for wave parameter predictions, Journal of Indian Geophysical Union, 9, 55

Cited by

See all 95

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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This page
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.