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						   <title>&quot;A machine learning approach for contrail detection and persistence prediction using airborne measurements from the ECLIF II/ND-MAX and ecoDemonstrator flight campaigns&quot; - Interactive discussion</title>
						   <link>https://jecats.copernicus.org/preprints/jecats-2026-11/</link>
						   <description>&quot;A machine learning approach for contrail detection and persistence prediction using airborne measurements from the ECLIF II/ND-MAX and ecoDemonstrator flight campaigns&quot; - Interactive discussion</description>
						   <language>en</language><item><title>AC1: 'Reply on RC1', Evanthia Kallou, 16 Jul 2026</title><link>https://jecats.copernicus.org/preprints/jecats-2026-11/jecats-2026-11-AC1.pdf</link><description>AC1: 'Reply on RC1', Evanthia Kallou, 16 Jul 2026</description><pubDate>Thu, 16 Jul 2026 01:37:02 +0200</pubDate></item><item><title>RC1: 'Comment on jecats-2026-11', Anonymous Referee #1, 02 Jul 2026</title><link>https://jecats.copernicus.org/preprints/jecats-2026-11/jecats-2026-11-RC1.pdf</link><description>RC1: 'Comment on jecats-2026-11', Anonymous Referee #1, 02 Jul 2026</description><pubDate>Thu, 02 Jul 2026 06:14:00 +0200</pubDate></item></channel>
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