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Report . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Report . 2020
License: CC BY
Data sources: Datacite
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A Review of Guidance for Using Ground-Based Vertically-Profiling Wind Lidar For Wind Resource Assessment

Authors: Clifton, Andrew; Jolin, Nicolas; Stoekl, Alexander; Mazoyer, Paul; Clive, Peter;

A Review of Guidance for Using Ground-Based Vertically-Profiling Wind Lidar For Wind Resource Assessment

Abstract

Wind lidar are often used to supply the wind data needed for wind resource assessments. In this review by members of IEA Wind Task 32 we give our perspective on the current best practices when deploying vertically-profiling wind lidar for wind resource assessments in 2020. This review is particularly intended for use by new users who wish to understand the standards landscape for this use case. This document is also available through our GitHub repository at https://github.com/IEA-Wind-Task-32/RP15-status-update/releases/tag/1.0.

Feedback about this review should be directed to https://github.com/IEA-Wind-Task-32/RP15-status-update/issues or to the Task 32 Operating agents at ieawind.task32@ifb.uni-stuttgart.de.

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Keywords

wind lidar, wind energy, standards, recommended practices, wind measurements, wind resource assessment, wind resource

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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