Articles | Volume 12, issue 1
Earth Syst. Sci. Data, 12, 429–439, 2020
https://doi.org/10.5194/essd-12-429-2020
Earth Syst. Sci. Data, 12, 429–439, 2020
https://doi.org/10.5194/essd-12-429-2020
Data description paper
18 Feb 2020
Data description paper | 18 Feb 2020

The Tall Tower Dataset: a unique initiative to boost wind energy research

Jaume Ramon et al.

Related authors

Data fusion uncertainty-enabled methods to map street-scale hourly NO2 in Barcelona city: a case study with CALIOPE-Urban v1.0
Alvaro Criado, Jan Mateu Armengol, Hervé Petetin, Daniel Rodríguez-Rey, Jaime Benavides, Marc Guevara, Carlos Pérez García-Pando, Albert Soret, and Oriol Jorba
EGUsphere, https://doi.org/10.5194/egusphere-2022-1147,https://doi.org/10.5194/egusphere-2022-1147, 2022
Short summary
Potential of TROPOMI for understanding spatio-temporal variations in surface NO2 and their dependencies upon land use over the Iberian Peninsula
Hervé Petetin, Marc Guevara, Steven Compernolle, Dene Bowdalo, Pierre-Antoine Bretonnière, Santiago Enciso, Oriol Jorba, Franco Lopez, Albert Soret, and Carlos Pérez García-Pando
EGUsphere, https://doi.org/10.5194/egusphere-2022-1056,https://doi.org/10.5194/egusphere-2022-1056, 2022
Short summary
Constraining low-frequency variability in climate projections to predict climate on decadal to multi-decadal timescales – a poor man's initialized prediction system
Rashed Mahmood, Markus G. Donat, Pablo Ortega, Francisco J. Doblas-Reyes, Carlos Delgado-Torres, Margarida Samsó, and Pierre-Antoine Bretonnière
Earth Syst. Dynam., 13, 1437–1450, https://doi.org/10.5194/esd-13-1437-2022,https://doi.org/10.5194/esd-13-1437-2022, 2022
Short summary
Model output statistics (MOS) applied to Copernicus Atmospheric Monitoring Service (CAMS) O3 forecasts: trade-offs between continuous and categorical skill scores
Hervé Petetin, Dene Bowdalo, Pierre-Antoine Bretonnière, Marc Guevara, Oriol Jorba, Jan Mateu Armengol, Margarida Samso Cabre, Kim Serradell, Albert Soret, and Carlos Pérez Garcia-Pando
Atmos. Chem. Phys., 22, 11603–11630, https://doi.org/10.5194/acp-22-11603-2022,https://doi.org/10.5194/acp-22-11603-2022, 2022
Short summary
Long-term evaluation of surface air pollution in CAMSRA and MERRA-2 global reanalyses over Europe (2003–2020)
Aleks Lacima, Hervé Petetin, Albert Soret, Dene Bowdalo, Oriol Jorba, Zhaoyue Chen, Raul F. Méndez Turrubiates, Hicham Achebak, Joan Ballester, and Carlos Pérez García-Pando
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2022-197,https://doi.org/10.5194/gmd-2022-197, 2022
Preprint under review for GMD
Short summary

Related subject area

Meteorology
Tropospheric water vapor: a comprehensive high-resolution data collection for the transnational Upper Rhine Graben region
Benjamin Fersch, Andreas Wagner, Bettina Kamm, Endrit Shehaj, Andreas Schenk, Peng Yuan, Alain Geiger, Gregor Moeller, Bernhard Heck, Stefan Hinz, Hansjörg Kutterer, and Harald Kunstmann
Earth Syst. Sci. Data, 14, 5287–5307, https://doi.org/10.5194/essd-14-5287-2022,https://doi.org/10.5194/essd-14-5287-2022, 2022
Short summary
The hourly wind-bias-adjusted precipitation data set from the Environment and Climate Change Canada automated surface observation network (2001–2019)
Craig D. Smith, Eva Mekis, Megan Hartwell, and Amber Ross
Earth Syst. Sci. Data, 14, 5253–5265, https://doi.org/10.5194/essd-14-5253-2022,https://doi.org/10.5194/essd-14-5253-2022, 2022
Short summary
The PANDA automatic weather station network between the coast and Dome A, East Antarctica
Minghu Ding, Xiaowei Zou, Qizhen Sun, Diyi Yang, Wenqian Zhang, Lingen Bian, Changgui Lu, Ian Allison, Petra Heil, and Cunde Xiao
Earth Syst. Sci. Data, 14, 5019–5035, https://doi.org/10.5194/essd-14-5019-2022,https://doi.org/10.5194/essd-14-5019-2022, 2022
Short summary
Enhanced automated meteorological observations at the Canadian Arctic Weather Science (CAWS) supersites
Zen Mariani, Laura Huang, Robert Crawford, Jean-Pierre Blanchet, Shannon Hicks-Jalali, Eva Mekis, Ludovick Pelletier, Peter Rodriguez, and Kevin Strawbridge
Earth Syst. Sci. Data, 14, 4995–5017, https://doi.org/10.5194/essd-14-4995-2022,https://doi.org/10.5194/essd-14-4995-2022, 2022
Short summary
Quality control and correction method for air temperature data from a citizen science weather station network in Leuven, Belgium
Eva Beele, Maarten Reyniers, Raf Aerts, and Ben Somers
Earth Syst. Sci. Data, 14, 4681–4717, https://doi.org/10.5194/essd-14-4681-2022,https://doi.org/10.5194/essd-14-4681-2022, 2022
Short summary

Cited articles

Aguilar, E., Auer, I., Brunet, M., Peterson, T. C., and Wieringa, J.: Guidelines on climate metadata and homogenization, World Meteorological Organization, p. 55, 2003. a
AWEA: AWEA US Wind Industry Annual Market Report Year Ending 2018, Tech. rep., AWEA, 2019. a
Baker, I., Denning, A. S., Hanan, N., Prihodko, L., Uliasz, M., Vidale, P. L., Davis, K., and Bakwin, P.: Simulated and observed fluxes of sensible and latent heat and CO2 at the WLEF-TV tower using SiB2.5, Glob. Change Biol., 9, 1262–1277, https://doi.org/10.1046/j.1365-2486.2003.00671.x, 2003. a
Brower, M. C., Barton, M. S., Lledó, L., and Dubois, J.: A study of wind speed variability using global reanalysis data, Tech. Rep. May 2013, AWS True Power, available at: https://www.awstruepower.com/assets/A-Study-of-Wind-Speed-Variability-Using-Global-Reanalysis-Data.pdf (last access: February 2020), 2013. a
Copernicus Climate Change Service (C3S): ERA5: Fifth generation of ECMWF atmospheric reanalyses of the global climate, Copernicus Climate Change Service Climate Data Store (CDS), Tech. rep., ECMWF, 2017. a
Download
Short summary
A dataset containing quality-controlled wind observations from 222 tall towers has been created. Wind speed and wind direction records have been collected from existing tall towers in an effort to boost the utilization of these non-standard atmospheric datasets. Observations are compiled in a unique collection with a common format, access, documentation and quality control (QC). For the latter, a total of 18 QC checks have been considered to ensure the high quality of the wind data.