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

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Final revised paper (published on 18 Feb 2020)
Supplement to the final revised paper
Preprint (discussion started on 10 Sep 2019)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Comments to the manuscript', Anonymous Referee #1, 25 Oct 2019
- AC1: 'Author response to Anonymous Referee #1', Jaume Ramon, 25 Nov 2019
RC2: 'Comments to the manuscript', Anonymous Referee #2, 28 Oct 2019
- AC2: 'Author response to Anonymous Referee #2', Jaume Ramon, 25 Nov 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Jaume Ramon on behalf of the Authors (27 Dec 2019) Author's response Manuscript

ED: Publish subject to minor revisions (review by editor) (16 Jan 2020) by Kirsten Elger

AR by Jaume Ramon on behalf of the Authors (20 Jan 2020) Author's response Manuscript

ED: Publish as is (21 Jan 2020) by Kirsten Elger

AR by Jaume Ramon on behalf of the Authors (24 Jan 2020)

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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.