Articles | Volume 14, issue 5
https://doi.org/10.5194/essd-14-2167-2022
https://doi.org/10.5194/essd-14-2167-2022
Data description paper
 | 
06 May 2022
Data description paper |  | 06 May 2022

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

Chunlüe Zhou, Cesar Azorin-Molina, Erik Engström, Lorenzo Minola, Lennart Wern, Sverker Hellström, Jessika Lönn, and Deliang Chen

Related authors

On the suitability of current atmospheric reanalyses for regional warming studies over China
Chunlüe Zhou, Yanyi He, and Kaicun Wang
Atmos. Chem. Phys., 18, 8113–8136, https://doi.org/10.5194/acp-18-8113-2018,https://doi.org/10.5194/acp-18-8113-2018, 2018

Related subject area

Data, Algorithms, and Models
Improved maps of surface water bodies, large dams, reservoirs, and lakes in China
Xinxin Wang, Xiangming Xiao, Yuanwei Qin, Jinwei Dong, Jihua Wu, and Bo Li
Earth Syst. Sci. Data, 14, 3757–3771, https://doi.org/10.5194/essd-14-3757-2022,https://doi.org/10.5194/essd-14-3757-2022, 2022
Short summary
The Fengyun-3D (FY-3D) global active fire product: principle, methodology and validation
Jie Chen, Qi Yao, Ziyue Chen, Manchun Li, Zhaozhan Hao, Cheng Liu, Wei Zheng, Miaoqing Xu, Xiao Chen, Jing Yang, Qiancheng Lv, and Bingbo Gao
Earth Syst. Sci. Data, 14, 3489–3508, https://doi.org/10.5194/essd-14-3489-2022,https://doi.org/10.5194/essd-14-3489-2022, 2022
Short summary
A high-resolution inland surface water body dataset for the tundra and boreal forests of North America
Yijie Sui, Min Feng, Chunling Wang, and Xin Li
Earth Syst. Sci. Data, 14, 3349–3363, https://doi.org/10.5194/essd-14-3349-2022,https://doi.org/10.5194/essd-14-3349-2022, 2022
Short summary
A Central Asia hydrologic monitoring dataset for food and water security applications in Afghanistan
Amy McNally, Jossy Jacob, Kristi Arsenault, Kimberly Slinski, Daniel P. Sarmiento, Andrew Hoell, Shahriar Pervez, James Rowland, Mike Budde, Sujay Kumar, Christa Peters-Lidard, and James P. Verdin
Earth Syst. Sci. Data, 14, 3115–3135, https://doi.org/10.5194/essd-14-3115-2022,https://doi.org/10.5194/essd-14-3115-2022, 2022
Short summary
HOTRUNZ: an open-access 1 km resolution monthly 1910–2019 time series of interpolated temperature and rainfall grids with associated uncertainty for New Zealand
Thomas R. Etherington, George L. W. Perry, and Janet M. Wilmshurst
Earth Syst. Sci. Data, 14, 2817–2832, https://doi.org/10.5194/essd-14-2817-2022,https://doi.org/10.5194/essd-14-2817-2022, 2022
Short summary

Cited articles

Alexandersson, H. and Moberg, A.: Homogenization of Swedish temperature data. Part I: Homogeneity test for linear trends, Int. J. Climatol., 17, 25–34, 1997. 
Azorin-Molina, C., Rehman, S., Guijarro, J. A., McVicar, T. R., Minola, L., Chen, D., and Vicente-Serrano, S. M.: Recent trends in wind speed across Saudi Arabia, 1978–2013: A break in the stilling, Int. J. Climatol., 38, e966–e984, 2018. 
Azorin-Molina, C., Guijarro, J. A., McVicar, T. R., Trewin, B. C., Frost, A. J., and Chen, D.: An approach to homogenize daily peak wind gusts: An application to the Australian series, Int. J. Climatol., 39, 2260–2277, 2019. 
Brázdil, R., Valík, A., Zahradníček, P., Řezníčková, L., and Tolasz, R.: Wind-stilling in the light of wind speed measurements: the Czech experience, Clima. Res., 74, 131–143, 2017. 
Capozzi, V., Cotroneo, Y., Castagno, P., De Vivo, C., and Budillon, G.: Rescue and quality control of sub-daily meteorological data collected at Montevergine Observatory (Southern Apennines), 1884–1963, Earth Syst. Sci. Data, 12, 1467–1487, https://doi.org/10.5194/essd-12-1467-2020, 2020. 
Download
Short summary
To fill the key gap of short availability and inhomogeneity of wind speed (WS) in Sweden, we rescued the early paper records of WS since 1925 and built the first 10-member centennial homogenized WS dataset (HomogWS-se) for community use. An initial WS stilling and recovery before the 1990s was observed, and a strong link with North Atlantic Oscillation was found. HomogWS-se improves our knowledge of uncertainty and causes of historical WS changes.
Altmetrics
Final-revised paper
Preprint