<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Pierre Gentine | TZstats Convergence Lab | Tian Zheng, Columbia Stats</title><link>https://tz33cu.github.io/author/pierre-gentine/</link><atom:link href="https://tz33cu.github.io/author/pierre-gentine/index.xml" rel="self" type="application/rss+xml"/><description>Pierre Gentine</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sat, 21 Jun 2025 00:00:00 +0000</lastBuildDate><image><url>https://tz33cu.github.io/media/icon_hu_244c03810a53b12e.png</url><title>Pierre Gentine</title><link>https://tz33cu.github.io/author/pierre-gentine/</link></image><item><title>Probabilistic data assimilation for ensemble distribution projections with generative machine learning: A Lorenz '96 proof-of-concept</title><link>https://tz33cu.github.io/publication/2025-06-21-li-probabilistic-data-assimilation/</link><pubDate>Sat, 21 Jun 2025 00:00:00 +0000</pubDate><guid>https://tz33cu.github.io/publication/2025-06-21-li-probabilistic-data-assimilation/</guid><description/></item><item><title>Spatiotemporal upscaling of sparse air-sea pCO2 data via physics-informed transfer learning</title><link>https://tz33cu.github.io/publication/2024-10-08-kim-spatiotemporal-upscaling-pco2/</link><pubDate>Tue, 08 Oct 2024 00:00:00 +0000</pubDate><guid>https://tz33cu.github.io/publication/2024-10-08-kim-spatiotemporal-upscaling-pco2/</guid><description/></item></channel></rss>