The Tall Tower Dataset

DOI

Abstract: A dataset containing quality controlled wind observations from 207 different tall towers has been created. Wind speed and wind direction measurements have been collected from existing tall towers around the world within the context of the INDECIS project in an effort to boost the utilisation of these non-standard atmospheric datasets. Wind observations taken at several heights greater than 10 meters 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 a high quality of the wind observations. Non-quality-controlled temperature, relative humidity and barometric pressure data have been also obtained and made available. Complete information on the collection and quality control processes can be found in the following publication: https://essd.copernicus.org/articles/12/429/2020/

These data are made available in good faith to be used for non-commercial purposes. In no event will the authors be liable to you or any third party for any damage or loss resulting from any use or misuse of these data.

Updates from the previous version (24th August 2023): a major update of the dataset has been made. The number of stations has been increased from 181 to 207. For the existing stations, time series have been extended, whenever possible, from 2017 to the most recent month up to the end of 2022. Corrected coordinates for Boseong and NWTC M5 towers.

Updates from the previous version (28th August 2023): added README files for Hyltemossa, Norunda and Svartberget towers.

Updates from the previous version (12th September 2023): corrected wrong top measuring height in some towers in file 0-INDEX_public.csv

Identifier
DOI https://doi.org/10.23728/b2share.f0c6ff9cdc1b43b29fec429df7441fa7
Source https://b2share.eudat.eu/records/f0c6ff9cdc1b43b29fec429df7441fa7
Metadata Access https://b2share.eudat.eu/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:b2share.eudat.eu:b2rec/f0c6ff9cdc1b43b29fec429df7441fa7
Provenance
Creator López Basurco, Guillermo; Ramon, Jaume
Publisher EUDAT B2SHARE
Publication Year 2023
Rights Creative Commons Attribution-NonCommercial (CC-BY-NC); info:eu-repo/semantics/openAccess
OpenAccess true
Contact jaume.ramon(at)bsc.es
Representation
Format zip; csv
Size 1.4 GB; 208 files
Discipline 3.3.14 → Earth sciences → Meteorology