Abstract
Abstract. 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 10 m 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 Lledó, 2019a) is published in the repository EUDAT and made available at https://doi.org/10.23728/b2share.136ecdeee31a45a7906a773095656ddb.
Highlights
Renewable energies have experienced the fastest growth among all electricity sources in the last few years (OECD/IEA, 2018, 2019)
We present here the global results obtained from the quality controlling of the Tall Tower Dataset, as well as a summary of the performance of the main tests
The unique case when this quality control (QC) test confirms that a series of wind speeds were disturbed by the surrounding forest occurs at Wallaby Creek met mast
Summary
Renewable energies have experienced the fastest growth among all electricity sources in the last few years (OECD/IEA, 2018, 2019). With higher shares of electricity generation depending on wind speed conditions, it is crucial to advance understanding of wind speed conditions at heights between 50 and 150 m above ground – where current wind turbines are installed – and at multiple timescales ranging from turbulence to mesoscale circulations, seasonal to decadal oscillations and climate change impacts To characterize these features, high-quality meteorological observations are needed. Meteorological data at turbine hub heights are much scarcer than surface observations To take those measurements, a tall tower or met mast needs to be installed and instrumented. Many of the initiatives from (a) to (e) take tall tower measurements for their research and the data are usually made freely accessible for non-commercial purposes Derived from these diverse efforts devoted to boosting the utilization of tall tower records, there exist various sparse datasets containing measurements from instrumented towers.
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