Journal cover Journal topic
Earth System Science Data The data publishing journal
Journal topic

Journal metrics

Journal metrics

  • IF value: 10.951 IF 10.951
  • IF 5-year value: 9.899 IF 5-year
    9.899
  • CiteScore value: 9.74 CiteScore
    9.74
  • SNIP value: 3.111 SNIP 3.111
  • IPP value: 8.99 IPP 8.99
  • SJR value: 5.229 SJR 5.229
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 38 Scimago H
    index 38
  • h5-index value: 33 h5-index 33
Discussion papers
https://doi.org/10.5194/essd-2019-129
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2019-129
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: data description paper 10 Sep 2019

Submitted as: data description paper | 10 Sep 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Earth System Science Data (ESSD).

The Tall Tower Dataset. A unique initiative to boost wind energy research

Jaume Ramon1, Llorenç Lledó1, Núria Pérez-Zañón1, Albert Soret1, and Francisco J. Doblas-Reyes1,2 Jaume Ramon et al.
  • 1Barcelona Supercomputing Center (BSC), c/ Jordi Girona, 29, Barcelona 08034, Spain
  • 2ICREA, Pg. Lluís Companys 23, Barcelona 08010, Spain

Abstract. A dataset containing quality controlled wind observations from 222 tall towers has been created. Wind speed and wind direction measurements have been collected from existing tall towers around the world in an effort to boost the utilisation of these non-standard atmospheric datasets, especially within the wind energy and research fields. The observations taken at several heights greater than 10 metres above ground level have been retrieved from various sparse datasets and compiled in a unique collection with a common format, access, documentation and quality control. For the latter, a total of 18 Quality Control checks have been considered to ensure the high quality of the wind records. Non-quality-controlled temperature, relative humidity and barometric pressure data from the towers have also been obtained and included in the dataset. The Tall Tower Dataset (Ramon and Lledó, 2019a) is published in the repository EUDAT and made available at https://doi.org/10.23728/b2share.0d3a99db75df4238820ee548f35ee36b.

Jaume Ramon et al.
Interactive discussion
Status: open (until 29 Nov 2019)
Status: open (until 29 Nov 2019)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement
Jaume Ramon et al.
Data sets

The Tall Tower Dataset J. Ramon and L. Lledó https://doi.org/10.23728/b2share.0d3a99db75df4238820ee548f35ee36b

Jaume Ramon et al.
Viewed  
Total article views: 403 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
302 96 5 403 15 1 3
  • HTML: 302
  • PDF: 96
  • XML: 5
  • Total: 403
  • Supplement: 15
  • BibTeX: 1
  • EndNote: 3
Views and downloads (calculated since 10 Sep 2019)
Cumulative views and downloads (calculated since 10 Sep 2019)
Viewed (geographical distribution)  
Total article views: 334 (including HTML, PDF, and XML) Thereof 331 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved  
No saved metrics found.
Discussed  
No discussed metrics found.
Latest update: 18 Nov 2019
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 utilisation 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.
A dataset containing quality controlled wind observations from 222 tall towers has been created....
Citation