<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Timothy B. Higgins |</title><link>https://deploy-preview-3--aneeshcs.netlify.app/authors/timothy-b.-higgins/</link><atom:link href="https://deploy-preview-3--aneeshcs.netlify.app/authors/timothy-b.-higgins/index.xml" rel="self" type="application/rss+xml"/><description>Timothy B. Higgins</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sat, 01 Jun 2024 00:00:00 +0000</lastBuildDate><item><title>Subseasonal Potential Predictability of Horizontal Water Vapor Transport and Precipitation Extremes in the North Pacific</title><link>https://deploy-preview-3--aneeshcs.netlify.app/publication/higgins-2024/</link><pubDate>Sat, 01 Jun 2024 00:00:00 +0000</pubDate><guid>https://deploy-preview-3--aneeshcs.netlify.app/publication/higgins-2024/</guid><description/></item><item><title>Using Deep Learning for an Analysis of Atmospheric Rivers in a High-Resolution Large Ensemble Climate Data Set</title><link>https://deploy-preview-3--aneeshcs.netlify.app/publication/wos-000971950500001/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://deploy-preview-3--aneeshcs.netlify.app/publication/wos-000971950500001/</guid><description>&lt;p&gt;Add the &lt;strong&gt;full text&lt;/strong&gt; or &lt;strong&gt;supplementary notes&lt;/strong&gt; for the publication here using Markdown formatting.&lt;/p&gt;</description></item><item><title>Improved Forecast Skill Through the Assimilation of Dropsonde Observations From the Atmospheric River Reconnaissance Program</title><link>https://deploy-preview-3--aneeshcs.netlify.app/publication/wos-000716774200019/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://deploy-preview-3--aneeshcs.netlify.app/publication/wos-000716774200019/</guid><description/></item></channel></rss>