<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Atmospheric Modeling on Vladimir Lapin</title><link>https://vlap.github.io/tags/atmospheric-modeling/</link><description>Recent content in Atmospheric Modeling on Vladimir Lapin</description><image><title>Vladimir Lapin</title><url>https://vlap.github.io/images/decor/vladimir_lapin.jpg</url><link>https://vlap.github.io/images/decor/vladimir_lapin.jpg</link></image><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 24 Sep 2026 18:00:00 +0200</lastBuildDate><atom:link href="https://vlap.github.io/tags/atmospheric-modeling/index.xml" rel="self" type="application/rss+xml"/><item><title>Atmospheric Tracer Mass Conservation in OpenIFS: Single Precision Drift, Weather Divergence, and Stochastic Rounding</title><link>https://vlap.github.io/posts/2026-09-24-openifs-mass-conservation-stochastic-rounding/</link><pubDate>Thu, 24 Sep 2026 18:00:00 +0200</pubDate><guid>https://vlap.github.io/posts/2026-09-24-openifs-mass-conservation-stochastic-rounding/</guid><description>The first time you run OpenIFS in single precision, the global CO₂ mass budget will look like it has a severe leak. Here is what we found after tracking the diagnostics term-by-term, why &amp;gt;99.5% of the drift is chaotic weather, and how stochastic rounding fixed the real numerical error.</description></item></channel></rss>