<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Oil Spill Drift Prediction | 人工智能海洋技术场景化应用山东省工程研究中心</title><link>https://aiocean.center/tags/oil-spill-drift-prediction/</link><atom:link href="https://aiocean.center/tags/oil-spill-drift-prediction/index.xml" rel="self" type="application/rss+xml"/><description>Oil Spill Drift Prediction</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>zh-Hans</language><lastBuildDate>Mon, 13 Jan 2025 00:00:00 +0000</lastBuildDate><image><url>https://aiocean.center/media/icon_hu_702a800cd775dbac.png</url><title>Oil Spill Drift Prediction</title><link>https://aiocean.center/tags/oil-spill-drift-prediction/</link></image><item><title>Oil Spill Drift Prediction Enhanced by Correcting Numerically Forecasted Sea Surface Dynamic Fields With Adversarial Temporal Convolutional Networks</title><link>https://aiocean.center/publications/yongqing-li/2025-ren-oil/</link><pubDate>Mon, 13 Jan 2025 00:00:00 +0000</pubDate><guid>https://aiocean.center/publications/yongqing-li/2025-ren-oil/</guid><description/></item><item><title>An adversarial learning approach to forecasted wind field correction with an application to oil spill drift prediction</title><link>https://aiocean.center/publications/yongqing-li/2022-li-an/</link><pubDate>Tue, 26 Jul 2022 00:00:00 +0000</pubDate><guid>https://aiocean.center/publications/yongqing-li/2022-li-an/</guid><description/></item></channel></rss>