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The ALEX17 diurnal cycles in complex terrain benchmark

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10.1088/1742-6596/1934/1/012002
 
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Sanz Rodrigo, Javier
Santos, Pedro
Chávez Arroyo, R
Avila, Matias
Cavar, Dalibor
Lehmkuhl Barba, OriolMés informació
Owen, Herbert
Li, R
Tromeur, Eric
Document typeArticle
Defense date2021
PublisherIOP Publishing
Rights accessOpen Access
Attribution 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution 3.0 Spain
ProjectEoCoE-II - Energy Oriented Center of Excellence : toward exascale for energy (EC-H2020-824158)
ENERXICO - Supercomputing and Energy for Mexico (EC-H2020-828947)
Abstract
The NEWA ALEX17 experiment was conducted with the objective of characterizing the wind conditions upstream of the Alaiz Test Site for the validation of flow models. From the intensive operational period, a case study has been selected for a Wakebench benchmark consisting of four consecutive days with relatively persistent winds from the North. The validation is centered around a 118-m mast at the Alaiz site and six additional masts located along the valley and at the lee side of a ridge delimiting a 8-km long area of interest. The benchmark is a follow-up of the GABLS3 diurnal cycle benchmark in flat terrain to test mesoscale-to-microscale transient and steady-state modeling methodologies in the assessment of stability-dependent bin-averaged wind conditions. Meso-micro methodologies reduce the wind speed mean bias from 32%, at 3-km mesoscale, to ±5%. Beyond mean bias mitigation, these initial results demonstrate the added value of meso-micro coupling at reproducing non conventional wind conditions at the test site like high-shear low-level jets in stable conditions and negative wind shear in unstable conditions. The benchmark also discusses the challenges of each meso-micro methodology going forward.
CitationSanz Rodrigo, J. [et al.]. The ALEX17 diurnal cycles in complex terrain benchmark. "Journal of Physics: Conference Series", 2021, 
URIhttp://hdl.handle.net/2117/350619
DOI10.1088/1742-6596/1934/1/012002
ISSN1742-6588
1742-6596
Publisher versionhttps://iopscience.iop.org/article/10.1088/1742-6596/1934/1/012002
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