<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Pena-Sanchez EU</submitter><funding>Fuel Cells and Hydrogen Joint Undertaking</funding><funding>Deutsche Forschungsgemeinschaft</funding><funding>Deutsche Forschungsgemeinschaft (German Research Foundation)</funding><funding>Helmholtz Association</funding><funding>Fuel Cells and Hydrogen Joint Undertaking (Fuel Cell and Hydrogen)</funding><pagination>539</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12804690</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>17(1)</volume><pubmed_abstract>Wind power is widely recognized as a key component of future net-zero energy systems. However, substantial variability among current wind resource and power simulations used for wind farm deployment limits the reliability of siting and system integration decisions. Therefore, we present a transparent, open source, validated and evaluated, global wind power simulation workflow for the renewable energy simulation tool ETHOS.RESKit. As the first wind simulation workflow using the new Global Wind Atlas 4 and the fifth iteration of the European Center for Medium-Range Weather Forecasts Reanalysis, it is capable of simulating time-resolved energy output of wind turbines with high spatial resolution and customizable designs for both onshore and offshore wind turbines. The tool has undergone an ex</pubmed_abstract><journal>Nature communications</journal><pubmed_title>Towards high resolution, validated and open global wind power assessments.</pubmed_title><pmcid>PMC12804690</pmcid><funding_grant_id>Energy System Design</funding_grant_id><funding_grant_id>101006632</funding_grant_id><funding_grant_id>491111487</funding_grant_id><pubmed_authors>Gruber K</pubmed_authors><pubmed_authors>Klutz T</pubmed_authors><pubmed_authors>Maier R</pubmed_authors><pubmed_authors>Stolten D</pubmed_authors><pubmed_authors>Heinrichs H</pubmed_authors><pubmed_authors>Winkler C</pubmed_authors><pubmed_authors>Prinz F</pubmed_authors><pubmed_authors>Pena-Sanchez EU</pubmed_authors><pubmed_authors>Linßen J</pubmed_authors><pubmed_authors>Dunkel P</pubmed_authors><pubmed_authors>Dickler S</pubmed_authors><pubmed_authors>Chen S</pubmed_authors><pubmed_authors>Weinand JM</pubmed_authors></additional><is_claimable>false</is_claimable><name>Towards high resolution, validated and open global wind power assessments.</name><description>Wind power is widely recognized as a key component of future net-zero energy systems. However, substantial variability among current wind resource and power simulations used for wind farm deployment limits the reliability of siting and system integration decisions. Therefore, we present a transparent, open source, validated and evaluated, global wind power simulation workflow for the renewable energy simulation tool ETHOS.RESKit. As the first wind simulation workflow using the new Global Wind Atlas 4 and the fifth iteration of the European Center for Medium-Range Weather Forecasts Reanalysis, it is capable of simulating time-resolved energy output of wind turbines with high spatial resolution and customizable designs for both onshore and offshore wind turbines. The tool has undergone an ex</description><dates><release>2026-01-01T00:00:00Z</release><publication>2026 Jan</publication><modification>2026-06-06T13:59:17.827Z</modification><creation>2026-05-31T03:09:58.906Z</creation></dates><accession>S-EPMC12804690</accession><cross_references><pubmed>41530134</pubmed><doi>10.1038/s41467-026-68337-z</doi></cross_references></HashMap>