Articles | Volume 6, issue 6
Wind Energ. Sci., 6, 1473–1490, 2021
https://doi.org/10.5194/wes-6-1473-2021
Wind Energ. Sci., 6, 1473–1490, 2021
https://doi.org/10.5194/wes-6-1473-2021

Research article 16 Nov 2021

Research article | 16 Nov 2021

Seasonal effects in the long-term correction of short-term wind measurements using reanalysis data

Alexander Basse et al.

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Cited articles

Albrecht, C. and Klesitz, M.: Long Term Correlation of Wind Measurements Using Neural Networks: A New Method for Post-Processing Short-Time Measurement Data, in: Wind Power Asia 2006, available at: https://al-pro.eu/de.alpro.download.php (last access: 12 November 2021), 2006. a, b
anemos: anemos – Gesellschaft für Umweltmeteorologie mbH: anemos Windatlas D-3km.E5, available at: https://anemos.de/files/windatlanten/Dokumentation-D-3km.ERA5-standortspezifisch-2020-03.pdf (last access: 28 December 2020), 2020a. a
anemos: anemos – Gesellschaft für Umweltmeteorologie mbH: anemos Windatlas D-3km.M2, available at: https://anemos.de/files/windatlanten/Dokumentation-D-3km.M2-standortspezifisch-2019-02.pdf (last access: 28 December 2020), 2020b. a
anemos: anemos – Gesellschaft für Umweltmeteorologie mbH: anemos Windatlas (general information), available at: https://www.anemos.de/en/windatlas.php (last access: 15 January 2021), 2020c. a, b
Bass, J. H., Rebbeck, M., Landberg, L., Cabré, M., and Hunter, A.: An Improved Measure-Correlate-Predict Algortihm for the Prediction of the Long Term Wind Climate in Regions of Complex Environment: Final Report JOR3-CT98-0295, Renewable Energy Systems Ltd (UK), Risø National Laboratory (Denmark), Ecotecnia (Spain), University of Sunderland (UK), 2000. a, b, c
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Short summary
This study investigates systematic, seasonal biases in the long-term correction of short-term wind measurements (< 1 year). Two popular measure–correlate–predict (MCP) methods yield remarkably different results. Six reanalysis data sets serve as long-term data. Besides experimental results, theoretical findings are presented which link the mechanics of the methods and the properties of the reanalysis data sets to the observations. Finally, recommendations for wind park planners are derived.