HomogWS-se: a century-long homogenized dataset of near-surface wind speed observations since 1925 rescued in Sweden

• Published in: Earth System Science Data
• Main Authors: Zhou, Chunlüe, Azorin-Molina, Cesar, Engström, Erik, Minola, Lorenzo, Wern, Lennart, Hellström, Sverker, Lönn, Jessika, Chen, Deliang
• Format: Article in Journal/Newspaper
• Language: English
• Published: Copernicus Publications 2022
• Subjects: article; Verlagsveröffentlichung; North Atlantic; North Atlantic oscillation
• Online Access: https://doi.org/10.5194/essd-14-2167-2022; https://noa.gwlb.de/receive/cop_mods_00060897; https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00060445/essd-14-2167-2022.pdf; https://essd.copernicus.org/articles/14/2167/2022/essd-14-2167-2022.pdf

Creating a century-long homogenized near-surface wind speed observation dataset is essential to improve our current knowledge about the uncertainty and causes of wind speed stilling and recovery. Here, we rescued paper-based records of wind speed measurements dating back to the 1920s at 13 stations in Sweden and established a four-step homogenization procedure to generate the first 10-member centennial homogenized wind speed dataset (HomogWS-se) for community use. Results show that about 38 % of the detected change points were confirmed by the known metadata events, and the average segment length split by the change points is ∼11.3 years. Compared with the raw wind speed series, the homogenized series is more continuous and lacks significant non-climatic jumps. The homogenized series presents an initial wind speed stilling and subsequent recovery until the 1990s, whereas the raw series fluctuates with no clear trend before the 1970s. The homogenized series shows a 25 % reduction in the wind speed stilling during 1990–2005 than the raw series, and this reduction is significant when considering the homogenization uncertainty. The homogenized wind speed series exhibits a significantly stronger correlation with the North Atlantic oscillation index than that of the raw series (0.54 vs. 0.29). These results highlight the importance of the century-long homogenized series in increasing our ability to detect and attribute multidecadal variability and changes in wind speed. The proposed homogenization procedure enables other countries or regions to rescue their early climate data and jointly build global long-term high-quality datasets. HomogWS-se is publicly available from the Zenodo repository at https://doi.org/10.5281/zenodo.5850264 (Zhou et al., 2022).