Articles | Volume 5, issue 1
Wind Energ. Sci., 5, 285–308, 2020
https://doi.org/10.5194/wes-5-285-2020
Wind Energ. Sci., 5, 285–308, 2020
https://doi.org/10.5194/wes-5-285-2020

Research article 28 Feb 2020

Research article | 28 Feb 2020

How to improve the state of the art in metocean measurement datasets

Erik Quaeghebeur and Michiel B. Zaaijer

Model code and software

equaeghe/met-data-scripts: Version 0.4.0 E. Quaeghebeur https://doi.org/10.5281/zenodo.3611120

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Short summary
Meteorological and oceanic datasets are fundamental to the modeling of offshore wind farms. Data quality issues in one such dataset led us to conduct a study to establish whether such issues are more generally present in these datasets. The answer is yes and users should be aware of this. We therefore also investigated how such issues can be avoided. The result is a set of techniques and recommendations for dataset producers, leading to substantial quality improvements with limited extra effort.