Articles | Volume 12, issue 1
https://doi.org/10.5194/essd-12-429-2020
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, Llorenç Lledó, Núria Pérez-Zanón, Albert Soret, and Francisco J. Doblas-Reyes

Data sets

The Tall Tower Dataset J. Ramon, L. Lledó, N. Pérez-Zanón, A. Soret, and F. J. Doblas-Reyes https://doi.org/10.23728/b2share.136ecdeee31a45a7906a773095656ddb

Model code and software

The INDECIS-QCSS4TT J. Ramon and L. Lledó, L. https://earth.bsc.es/gitlab/jramon/INDECIS-QCSS4TT/

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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.