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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AIFS-DOP: End-to-End Medium-Range Weather Prediction from Observations Alone with Machine Learning · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2606.19093/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2606.19093/feed.xml" rel="self" type="application/rss+xml" /><item><title>AIFS-DOP: End-to-End Medium-Range Weather Prediction from Observations Alone with Machine Learning — mentioned by micro2588</title><link>https://news.ycombinator.com/item?id=49224356</link><guid isPermaLink="false">urn:hackerpapers:mention:2606.19093:49224356</guid><pubDate>Sat, 08 Aug 2026 18:16:41 GMT</pubDate><description>&lt;p&gt;ECMWF has an experimental AIFS direct observational prediction model (AIFS-DOP) that has become competitive with their physics based IFS model on certain metrics just in the past year. https://arxiv.org/html/2606.19093v1&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2606.19093/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>physics.ao-ph</category></item></channel></rss>
