<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Climate |</title><link>http://darrylab.org/tags/climate/</link><atom:link href="http://darrylab.org/tags/climate/index.xml" rel="self" type="application/rss+xml"/><description>Climate</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Oct 2026 00:00:00 +0000</lastBuildDate><image><url>http://darrylab.org/media/icon_hu_1c0e9cb08cfb822a.png</url><title>Climate</title><link>http://darrylab.org/tags/climate/</link></image><item><title>YieldTrace</title><link>http://darrylab.org/projects/yieldtrace/</link><pubDate>Thu, 01 Oct 2026 00:00:00 +0000</pubDate><guid>http://darrylab.org/projects/yieldtrace/</guid><description>&lt;p&gt;When a harvest fails, farmers, insurers and governments all need to know why. YieldTrace estimates what each farm would have produced under normal conditions and attributes the shortfall to its causes.&lt;/p&gt;
&lt;p&gt;The project applies the potential outcomes framework of causal inference at the scale of an individual farm, drawing on CHIRPS and ERA5 climate data. The first study will focus on maize, cassava and tomato in Chinsali District, Muchinga Province, Zambia. The goal is to produce the kind of farm level evidence that agricultural policy commitments under the CAADP Kampala Declaration call for.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Status:&lt;/strong&gt; Concept stage.&lt;/p&gt;</description></item></channel></rss>