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Presentation . 2019
License: CC BY
Data sources: Datacite
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Presentation . 2019
License: CC BY
Data sources: Datacite
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Meso-to-microscale modelling of the Atmospheric Boundary Layer: an open-science approach

Authors: Chávez Arroyo, Roberto Aurelio; Sanz Rodrigo, Javier; Gancarski, Pawel; Cantero, Elena; Borbón, Fernando; Santos, Pedro;

Meso-to-microscale modelling of the Atmospheric Boundary Layer: an open-science approach

Abstract

This work presents the development of a model-chain for the simulation of Atmospheric Boundary Layer flows through an open-science approach. The presentation introduces the different stages of the open-science methodology which starts with the release of the open-source CFD code and the open-access validation data developed throughout the NEWA project. It also contains the open-access publications and description of the scripts employed for the comparison with the measurements so that it can serve as a case example for other model developments, and to the wind energy industry as a platform for validation & verification procedures for current and potentially new tools.

Keywords

atmospheric boundary layer, open science, wind energy, open data, CFD, ALEX17, wind resource assessment

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selected citations
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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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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