Preprints
https://doi.org/10.5194/wes-2024-132
https://doi.org/10.5194/wes-2024-132
07 Nov 2024
 | 07 Nov 2024
Status: this preprint is currently under review for the journal WES.

Analyzing the performance of vertical wind profilers in rain events

Adriel J. Carvalho, Francisco Albuquerque Leite Neto, and Denisson Q. Oliveira

Abstract. This paper quantitatively analyzes the performance of SODAR and LIDAR wind profilers during precipitation events, focusing on their Range Availability (RA) and the representativeness of wind measurements. The wind profile and supporting meteorological data have been collected in Barreirinhas and Paulino Neves, Maranhão, Brazil, at various locations, both near and far from the shoreline. The results show that precipitation affects the RA of SODAR, which, although it recovers quickly after the rain, shows significant drops in more consistent events. On the other hand, the LIDAR near the coast had little influence from rainfall on its RA. In contrast, when the LIDAR is far from the coast, it showed more significant variability, with drops in RA not necessarily linked to rainfall events. The investigation has concluded that the location and specific meteorological conditions significantly influence the performance of these wind profilers and should be considered when choosing the technology for estimating the vertical wind profile.

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Adriel J. Carvalho, Francisco Albuquerque Leite Neto, and Denisson Q. Oliveira

Status: open (until 12 Dec 2024)

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Adriel J. Carvalho, Francisco Albuquerque Leite Neto, and Denisson Q. Oliveira
Adriel J. Carvalho, Francisco Albuquerque Leite Neto, and Denisson Q. Oliveira

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Short summary
The wind profilers are very important to wind power industry since they can capture wind velocity and direction at higher altitudes. Although there are some literature investigating their performance in different scenarios, this paper covers a gap investigating and comparing their performance under rain events. This investigation is important since the data collected support strategic decisions in wind power industry, demanding a high availability in all situations.
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