Articles | Volume 11, issue 1
https://doi.org/10.5194/wes-11-217-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-11-217-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Jan 2026
Research article |
| 19 Jan 2026
| 19 Jan 2026
Determining the ideal length of wind speed series for wind speed distribution and resource assessment
Department of Physics and Technology, Faculty of Science and Technology, The Arctic University of Norway, Tromsø, 9010, Norway
Igor Esau
Department of Physics and Technology, Faculty of Science and Technology, The Arctic University of Norway, Tromsø, 9010, Norway
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Short summary
How much hourly wind data are enough for reliable resource assessment? Using long-term station records and reconstructed datasets, we test sample sizes and sampling strategies. Means, variability, and Weibull scale converge within a sample size of 1 month of hours, but distribution shape needs far more. Random cross-year sampling reaches a given accuracy with far less data than continuous sampling.
How much hourly wind data are enough for reliable resource assessment? Using long-term station...
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