<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>satellite-based rainfall analysis &#8211; BIOENGINEER.ORG</title>
	<atom:link href="https://bioengineer.org/tag/satellite-based-rainfall-analysis/feed/" rel="self" type="application/rss+xml" />
	<link>https://bioengineer.org</link>
	<description>Bioengineering</description>
	<lastBuildDate>Mon, 03 Nov 2025 20:10:15 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.9.4</generator>

<image>
	<url>https://bioengineer.org/wp-content/uploads/2019/09/cropped-bioengineering-32x32.png</url>
	<title>satellite-based rainfall analysis &#8211; BIOENGINEER.ORG</title>
	<link>https://bioengineer.org</link>
	<width>32</width>
	<height>32</height>
</image> 
<site xmlns="com-wordpress:feed-additions:1">72741379</site>	<item>
		<title>Rainfall Threshold Identified as Key Predictor of Crop Drought Risk</title>
		<link>https://bioengineer.org/rainfall-threshold-identified-as-key-predictor-of-crop-drought-risk/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Mon, 03 Nov 2025 20:09:51 +0000</pubDate>
				<category><![CDATA[Agriculture]]></category>
		<category><![CDATA[agricultural water stress thresholds]]></category>
		<category><![CDATA[crop drought risk prediction]]></category>
		<category><![CDATA[oceanic vs terrestrial precipitation]]></category>
		<category><![CDATA[satellite-based rainfall analysis]]></category>
		<category><![CDATA[terrestrial moisture recycling]]></category>
		<guid isPermaLink="false">https://bioengineer.org/rainfall-threshold-identified-as-key-predictor-of-crop-drought-risk/</guid>

					<description><![CDATA[In a groundbreaking study that redefines our understanding of agricultural vulnerability, researchers from Stanford University and the University of California San Diego have employed satellite data and advanced physical modeling to distinguish the origins of rainfall nourishing the world’s croplands. This pioneering work, recently published in Nature Sustainability, highlights a crucial environmental parameter: the source [&#8230;]]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">290716</post-id>	</item>
	</channel>
</rss>
