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Report on Third Round of Benchmarks

Authors: Sanz Rodrigo, Javier; Chávez Arroyo, Roberto Aurelio; Gottschall, Julia; Dörenkämper, Martin; Witha, Björn;

Report on Third Round of Benchmarks

Abstract

This report summarizes the third round of benchmarks conducted under the NEWA validation strategy [1]. The first round of microscale benchmarks [2] was directed to developing microscale models that can be driven with mesoscale input forcing, include thermal stratification of the atmospheric boundary layer and high resolution digital models of heterogeneous forest canopy characteristics based on aerial lidar-scan data. These fundamental implementations were developed around the GABLS3 diurnal-cycle and Ryningsnäs forest canopy benchmarks, both in flat terrain conditions. By model intercomparison, NEWA modelers found reasonably good consistency in the simulation of these cases, establishing common understanding of the modeling capabilities of the group before attempting more complex simulation challenges in connection to the NEWA experiments. The second round of benchmarks [3] focused on flow modeling over forested terrain based on the Rödeser Berg and Hornamossen experiments to add terrain complexity to the baseline settings used in GABLS3 and Ryningsnäs. A follow-up benchmark from GABLS3, based at the Cabauw tower, served to launch the “NEWA Meso-Micro Challenge for Wind Resource Assessment” to address the evaluation of a hierarchy of methodologies that incorporate mesoscale-to-microscale downscaling and understand the added-value compared to traditional approaches for site assessment that rely only on microscale modeling. The third round continues with the second phase of the challenge in complex terrain, starting with Rödeser Berg. Following the NEWA validation strategy the benchmarks will be directed to flow cases targeting the validation of specific phenomena, as well as case studies that integrate these models in wind resource assessment methodologies to assess the impact on relevant quantities of interest for the wind industry such as annual energy prediction, site assessment characteristics, mean profiles, etc. Additionally, the Ferry Lidar benchmark was launched to test mesoscale models predicting the wind profile along a ship track in the Southern Baltic Sea. With the NEWA project concluded, the meso-micro challenge will continue in the frame of the IEA-Wind Task 31 “Wakebench” as new benchmarks are generated from the database of experiments [4].

Keywords

validation, benchmark, wind energy, wind resource assessment

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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).
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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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