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						  <title>&quot;Gaussian process surrogate modeling for efficient controller tuning and fatigue load prediction of the helix wake-mixing method&quot; - Interactive discussion</title>
						  <link>https://wes.copernicus.org/preprints/wes-2026-62/</link>
						  <description>&quot;Gaussian process surrogate modeling for efficient controller tuning and fatigue load prediction of the helix wake-mixing method&quot; - Interactive discussion</description><items><rdf:Seq><rdf:li resource="" /><rdf:li resource="" /></rdf:Seq></items></channel><item rdf:about=""><title>RC2: 'Comment on wes-2026-62', Anonymous Referee #2, 14 May 2026</title><link>https://wes.copernicus.org/preprints/wes-2026-62/wes-2026-62-RC2.pdf</link><description>RC2: 'Comment on wes-2026-62', Anonymous Referee #2, 14 May 2026</description><dc:date>2026-05-14T03:03:06+02:00</dc:date></item><item rdf:about=""><title>RC1: 'Comment on wes-2026-62', Anonymous Referee #1, 04 May 2026</title><link>https://wes.copernicus.org/preprints/wes-2026-62/wes-2026-62-RC1.pdf</link><description>RC1: 'Comment on wes-2026-62', Anonymous Referee #1, 04 May 2026</description><dc:date>2026-05-04T19:41:47+02:00</dc:date></item></rdf:RDF>