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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Towards global validation of wind powersimulations: A multi-country assessment ofwind power simulation from MERRA-2 andERA-5 reanalyses bias-corrected with theGlobal Wind Atlas

Authors: Gruber, Katharina; Regner, Peter; Wehrle, Sebastian; Zeyringer, Marianne; Schmidt, Johannes;

Towards global validation of wind powersimulations: A multi-country assessment ofwind power simulation from MERRA-2 andERA-5 reanalyses bias-corrected with theGlobal Wind Atlas

Abstract

We provide here the results related to the article "Towards global validation of wind powersimulations: A multi-country assessment of wind power simulation from MERRA-2 andERA-5 reanalyses bias-corrected with the Global Wind Atlas" Preprint: https://arxiv.org/abs/2012.05648 Code: https://github.com/KatharinaGruber/windpower_GWA The results include - simulated wind power generation time series with two reanalysis datasets (MERRA-2, ERA5) without and with bias correction with the Global Wind Atlas (GWA2 and GWA3) per windpark, only in the USA per state - bias correction factor maps for different combinations of datasets (cf_*.nc) - statistical parameters for evaluation of simulated time series (stats_*.csv) The results are provided for each of the four analysed regions: Brazil, New Zealand, South Africa and USA

Keywords

wind power simulation, South Africa, bias correction, Global Wind Atlas, Brazil, USA, New Zealand

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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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