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

被引:23
作者
Ramon, Jaume [1 ]
Lledo, Llorenc [1 ]
Perez-Zanon, Nuria [1 ]
Soret, Albert [1 ]
Doblas-Reyes, Francisco J. [1 ,2 ]
机构
[1] Barcelona Supercomp Ctr, C Jordi Girona 29, Barcelona 08034, Spain
[2] ICREA, Pg Lluis Co 23, Barcelona 08010, Spain
基金
欧盟地平线“2020”;
关键词
QUALITY-ASSURANCE; INFORMATION; MANAGEMENT; CO2;
D O I
10.5194/essd-12-429-2020
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
A dataset containing quality-controlled wind observations from 222 tall towers has been created. Wind speed and wind direction measurements covering the 1984-2017 period have been collected from existing tall towers around the world in an effort to boost the utilization of these non-standard atmospheric datasets, especially within the wind energy and research fields. Observations taken at several heights greater than 10m 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 last, 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 Lledo, 2019a) is published in the repository EUDAT and made available at https://doi.org/10.23728/b2share.136ecdeee31a45a7906a773095656ddb.
引用
收藏
页码:429 / 439
页数:11
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