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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 href="https://wes.copernicus.org/preprints/wes-2026-62/" />
					   <id>https://wes.copernicus.org/preprints/wes-2026-62/</id>
					   <updated>2026-05-14T03:03:07+02:00</updated>
					   <author><name>Copernicus Publications</name></author><entry><id>https://wes.copernicus.org/preprints/wes-2026-62/wes-2026-62-RC2.pdf</id><title>RC2: 'Comment on wes-2026-62', Anonymous Referee #2, 14 May 2026</title><link href="https://wes.copernicus.org/preprints/wes-2026-62/wes-2026-62-RC2.pdf" /><summary>RC2: 'Comment on wes-2026-62', Anonymous Referee #2, 14 May 2026</summary><author><name>Anonymous Referee #2</name></author><published>2026-05-14T03:03:06+02:00</published><updated>2026-05-14T03:03:06+02:00</updated></entry><entry><id>https://wes.copernicus.org/preprints/wes-2026-62/wes-2026-62-RC1.pdf</id><title>RC1: 'Comment on wes-2026-62', Anonymous Referee #1, 04 May 2026</title><link href="https://wes.copernicus.org/preprints/wes-2026-62/wes-2026-62-RC1.pdf" /><summary>RC1: 'Comment on wes-2026-62', Anonymous Referee #1, 04 May 2026</summary><author><name>Anonymous Referee #1</name></author><published>2026-05-04T19:41:47+02:00</published><updated>2026-05-04T19:41:47+02:00</updated></entry></feed>