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	<title>Eos</title>
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	<title>Eos</title>
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		<title>Artemis II Crew Splashes Down</title>
		<link>https://eos.org/research-and-developments/artemis-ii-crew-splashes-down</link>
					<comments>https://eos.org/research-and-developments/artemis-ii-crew-splashes-down#respond</comments>
		
		<dc:creator><![CDATA[Emily Gardner]]></dc:creator>
		<pubDate>Sat, 11 Apr 2026 00:12:58 +0000</pubDate>
				<category><![CDATA[Research & Developments]]></category>
		<category><![CDATA[Artemis]]></category>
		<category><![CDATA[astronauts]]></category>
		<category><![CDATA[Canada]]></category>
		<category><![CDATA[Moon]]></category>
		<category><![CDATA[NASA]]></category>
		<category><![CDATA[Space & Planets]]></category>
		<category><![CDATA[spacecraft]]></category>
		<category><![CDATA[United States]]></category>
		<guid isPermaLink="false">https://eos.org/?p=246345</guid>

					<description><![CDATA[<figure><img width="1024" height="576" src="https://eos.org/wp-content/uploads/2026/04/art002e013356large-crop-1024x576.jpg" class="attachment-rss-image-size size-rss-image-size wp-post-image" alt="Four astronauts, floating in a spacecraft without gravity, smile and flash thumbs up for the camera." decoding="async" fetchpriority="high" srcset="https://eos.org/wp-content/uploads/2026/04/art002e013356large-crop-1024x576.jpg 1024w, https://eos.org/wp-content/uploads/2026/04/art002e013356large-crop-480x270.jpg 480w, https://eos.org/wp-content/uploads/2026/04/art002e013356large-crop-768x432.jpg 768w, https://eos.org/wp-content/uploads/2026/04/art002e013356large-crop-400x225.jpg 400w, https://eos.org/wp-content/uploads/2026/04/art002e013356large-crop.jpg 1200w" sizes="(max-width: 34.9rem) calc(100vw - 2rem), (max-width: 53rem) calc(8 * (100vw / 12)), (min-width: 53rem) calc(6 * (100vw / 12)), 100vw" /></figure>After a journey to and around the Moon, the Artemis II crew splashed back to Earth off the coast of San Diego at 5:07 p.m. local time (8:07 p.m. ET) on 10 April.]]></description>
										<content:encoded><![CDATA[<p>After a week-and-a-half journey to and around the Moon, the Artemis II crew splashed back to Earth off the coast of San Diego at 5:07 p.m. local time (8:07 p.m. ET) on 10 April. “From the pages of Jules Vernes to a modern day mission to the Moon, a new chapter in the exploration of our celestial neighbor is complete,” said a NASA announcer as the astronauts splashed down.</p>
<p><a href="https://eos.org/research-and-developments/artemis-ii-crew-splashes-down" rel="nofollow">Source</a></p>]]></content:encoded>
					
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						<media:description>The Artemis II crew – (from left) Mission Specialist Christina Koch, Mission Specialist Jeremy Hansen, Pilot Victor Glover, and Commander Reid Wiseman – pause for a group photo inside the Orion spacecraft on their way home. Credit: &lt;a href=&quot;https://www.nasa.gov/image-detail/amf-art002e013356/ &quot; target=&quot;_blank&quot; rel=&quot;noopener noreferrer&quot;&gt; NASA&lt;/a&gt;</media:description>
				<media:thumbnail url="https://eos.org/wp-content/uploads/2026/04/art002e013356large-crop-1024x576.jpg" width="780" height="439" />
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				<post-id xmlns="com-wordpress:feed-additions:1">246345</post-id>	</item>
		<item>
		<title>Synergistic Integration of Flood Inundation Modeling Methods</title>
		<link>https://eos.org/editors-vox/synergistic-integration-of-flood-inundation-modeling-methods</link>
					<comments>https://eos.org/editors-vox/synergistic-integration-of-flood-inundation-modeling-methods#respond</comments>
		
		<dc:creator><![CDATA[Behzad Nazari and Ebrahim Ahmadisharaf]]></dc:creator>
		<pubDate>Fri, 10 Apr 2026 17:16:22 +0000</pubDate>
				<category><![CDATA[Editors' Vox]]></category>
		<category><![CDATA[floods]]></category>
		<category><![CDATA[Hazards & Disasters]]></category>
		<category><![CDATA[machine learning & AI]]></category>
		<category><![CDATA[Modeling]]></category>
		<category><![CDATA[Reviews of Geophysics]]></category>
		<category><![CDATA[satellites]]></category>
		<guid isPermaLink="false">https://eos.org/?p=246337</guid>

					<description><![CDATA[<figure><img width="1024" height="576" src="https://eos.org/wp-content/uploads/2026/04/Flood-modeling-Featured-Image-final-1024x576.png" class="attachment-rss-image-size size-rss-image-size wp-post-image" alt="Aerial view of a flooded landscape and town." decoding="async" loading="lazy" srcset="https://eos.org/wp-content/uploads/2026/04/Flood-modeling-Featured-Image-final-1024x576.png 1024w, https://eos.org/wp-content/uploads/2026/04/Flood-modeling-Featured-Image-final-480x270.png 480w, https://eos.org/wp-content/uploads/2026/04/Flood-modeling-Featured-Image-final-768x432.png 768w, https://eos.org/wp-content/uploads/2026/04/Flood-modeling-Featured-Image-final-400x225.png 400w, https://eos.org/wp-content/uploads/2026/04/Flood-modeling-Featured-Image-final.png 1200w" sizes="(max-width: 34.9rem) calc(100vw - 2rem), (max-width: 53rem) calc(8 * (100vw / 12)), (min-width: 53rem) calc(6 * (100vw / 12)), 100vw" /></figure>Recent flood modeling advances are trending into silos that compete rather than complement each other, hampering the opportunity for transformative progress toward protecting lives and communities.]]></description>
										<content:encoded><![CDATA[<p>Flood inundation models are tools that predict where water flows, how deep it gets, how fast it moves and how long it remains during a flood event. But despite recent advances in flood inundation models, some flood modeling paradigms are being used beyond their range of applicability rather than leveraging the strengths of different methods. A new article in Review of Geophysics explores the…</p>
<p><a href="https://eos.org/editors-vox/synergistic-integration-of-flood-inundation-modeling-methods" rel="nofollow">Source</a></p>]]></content:encoded>
					
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						<media:description>Northeast of Houston on May 4, 2024, in the aftermath of May 3 flooding, marking the third-highest crest on the East Fork San Jacinto River. Credit: Behzad Nazari</media:description>
				<media:thumbnail url="https://eos.org/wp-content/uploads/2026/04/Flood-modeling-Featured-Image-final-1024x576.png" width="780" height="439" />
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				<post-id xmlns="com-wordpress:feed-additions:1">246337</post-id>	</item>
		<item>
		<title>Lessons from Linking Great Salt Lake Desiccation and Depression</title>
		<link>https://eos.org/science-updates/lessons-from-linking-great-salt-lake-desiccation-and-depression</link>
					<comments>https://eos.org/science-updates/lessons-from-linking-great-salt-lake-desiccation-and-depression#respond</comments>
		
		<dc:creator><![CDATA[M. Neelam and Kamaldeep Bhui]]></dc:creator>
		<pubDate>Fri, 10 Apr 2026 14:01:12 +0000</pubDate>
				<category><![CDATA[Science Updates]]></category>
		<category><![CDATA[aerosols & particles]]></category>
		<category><![CDATA[air quality]]></category>
		<category><![CDATA[dust]]></category>
		<category><![CDATA[Earth science]]></category>
		<category><![CDATA[geohealth]]></category>
		<category><![CDATA[Great Salt Lake]]></category>
		<category><![CDATA[Health & Ecosystems]]></category>
		<category><![CDATA[lakes]]></category>
		<category><![CDATA[mental health]]></category>
		<category><![CDATA[public health]]></category>
		<category><![CDATA[Utah]]></category>
		<guid isPermaLink="false">https://eos.org/?p=246261</guid>

					<description><![CDATA[<figure><img width="1024" height="576" src="https://eos.org/wp-content/uploads/2026/04/great-salt-lake-dust-wind-1024x576.jpg" class="attachment-rss-image-size size-rss-image-size wp-post-image" alt="Dust clouds rise from a dry, flat expanse of lake bed in front of mountains and a partly cloudy sky in the background." decoding="async" loading="lazy" srcset="https://eos.org/wp-content/uploads/2026/04/great-salt-lake-dust-wind-1024x576.jpg 1024w, https://eos.org/wp-content/uploads/2026/04/great-salt-lake-dust-wind-480x270.jpg 480w, https://eos.org/wp-content/uploads/2026/04/great-salt-lake-dust-wind-768x432.jpg 768w, https://eos.org/wp-content/uploads/2026/04/great-salt-lake-dust-wind-400x225.jpg 400w, https://eos.org/wp-content/uploads/2026/04/great-salt-lake-dust-wind.jpg 1200w" sizes="(max-width: 34.9rem) calc(100vw - 2rem), (max-width: 53rem) calc(8 * (100vw / 12)), (min-width: 53rem) calc(6 * (100vw / 12)), 100vw" /></figure>By melding different expertise and merging disparate datasets, researchers revealed how lake bed dust may be affecting mental health outcomes across Utah.]]></description>
										<content:encoded><![CDATA[<p>The Great Salt Lake is disappearing. Driven by decades of water diversions for agriculture, development, and mining, as well as by the warming climate, Utah’s famed lake has lost roughly 73% of its volume since 1850, exposing more than 54% of the lake bed. The ecological and economic consequences of this decline are well documented, with the latter estimated at more than $2 billion in annual…</p>
<p><a href="https://eos.org/science-updates/lessons-from-linking-great-salt-lake-desiccation-and-depression" rel="nofollow">Source</a></p>]]></content:encoded>
					
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						<media:description>Dust kicks up from the dried bed of Farmington Bay in the Great Salt Lake on 9 July 2025. Credit: Photo by James Roh for the Washington Post via Getty Images</media:description>
				<media:thumbnail url="https://eos.org/wp-content/uploads/2026/04/great-salt-lake-dust-wind-1024x576.jpg" width="780" height="439" />
				<media:content url="https://eos.org/wp-content/uploads/2026/04/great-salt-lake-dust-wind-1024x576.jpg" type="image/jpg" medium="image" width="150px" height="auto" />
				<post-id xmlns="com-wordpress:feed-additions:1">246261</post-id>	</item>
		<item>
		<title>Machine Learning Could Enhance Earth System Modeling</title>
		<link>https://eos.org/editor-highlights/machine-learning-could-enhance-earth-system-modeling</link>
					<comments>https://eos.org/editor-highlights/machine-learning-could-enhance-earth-system-modeling#respond</comments>
		
		<dc:creator><![CDATA[Donald Wuebbles]]></dc:creator>
		<pubDate>Fri, 10 Apr 2026 12:00:00 +0000</pubDate>
				<category><![CDATA[Editors' Highlights]]></category>
		<category><![CDATA[AGU Advances]]></category>
		<category><![CDATA[climate]]></category>
		<category><![CDATA[everything atmospheric]]></category>
		<category><![CDATA[machine learning & AI]]></category>
		<category><![CDATA[Modeling]]></category>
		<guid isPermaLink="false">https://eos.org/?p=246185</guid>

					<description><![CDATA[<figure><img width="1024" height="576" src="https://eos.org/wp-content/uploads/2026/04/dave-hoefler-IRHNxX5y_hg-unsplash-1024x576.png" class="attachment-rss-image-size size-rss-image-size wp-post-image" alt="Dark storm clouds looming over a road and crop fields." decoding="async" loading="lazy" srcset="https://eos.org/wp-content/uploads/2026/04/dave-hoefler-IRHNxX5y_hg-unsplash-1024x576.png 1024w, https://eos.org/wp-content/uploads/2026/04/dave-hoefler-IRHNxX5y_hg-unsplash-480x270.png 480w, https://eos.org/wp-content/uploads/2026/04/dave-hoefler-IRHNxX5y_hg-unsplash-768x432.png 768w, https://eos.org/wp-content/uploads/2026/04/dave-hoefler-IRHNxX5y_hg-unsplash-400x225.png 400w, https://eos.org/wp-content/uploads/2026/04/dave-hoefler-IRHNxX5y_hg-unsplash.png 1200w" sizes="(max-width: 34.9rem) calc(100vw - 2rem), (max-width: 53rem) calc(8 * (100vw / 12)), (min-width: 53rem) calc(6 * (100vw / 12)), 100vw" /></figure>Based on tests of a machine learning-based (ML) hybrid model, combining ML with established physics-based frameworks represents a promising path toward developing ML-based Earth system models. ]]></description>
										<content:encoded><![CDATA[<p>Machine learning (ML)-based models hold great potential to enhance and perhaps transform simulations of the Earth’s weather and climate across the range from synoptic to seasonal to annual to multi-decadal time scales. However, ML-based models should also produce results consistent with the physical laws of the Earth system. While ML-based models have been tested for weather forecasting…</p>
<p><a href="https://eos.org/editor-highlights/machine-learning-could-enhance-earth-system-modeling" rel="nofollow">Source</a></p>]]></content:encoded>
					
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						<media:description>Credit: Dave Hoefler, &lt;a href=&quot; https://unsplash.com/photos/green-grass-field-under-gray-clouds-IRHNxX5y_hg&quot; target=&quot;_blank&quot;&gt;Unsplash&lt;/a&gt;</media:description>
				<media:thumbnail url="https://eos.org/wp-content/uploads/2026/04/dave-hoefler-IRHNxX5y_hg-unsplash-1024x576.png" width="780" height="439" />
				<media:content url="https://eos.org/wp-content/uploads/2026/04/dave-hoefler-IRHNxX5y_hg-unsplash-1024x576.png" type="image/jpg" medium="image" width="150px" height="auto" />
				<post-id xmlns="com-wordpress:feed-additions:1">246185</post-id>	</item>
		<item>
		<title>Fatal landslides in March 2026</title>
		<link>https://eos.org/thelandslideblog/fatal-landslides-in-march-2026</link>
					<comments>https://eos.org/thelandslideblog/fatal-landslides-in-march-2026#respond</comments>
		
		<dc:creator><![CDATA[Dave Petley]]></dc:creator>
		<pubDate>Fri, 10 Apr 2026 10:29:09 +0000</pubDate>
				<category><![CDATA[The Landslide Blog]]></category>
		<category><![CDATA[data management]]></category>
		<category><![CDATA[Hazards & Disasters]]></category>
		<category><![CDATA[landslides]]></category>
		<guid isPermaLink="false">https://eos.org/?p=246321</guid>

					<description><![CDATA[<figure><img width="1024" height="692" src="https://eos.org/wp-content/uploads/2026/03/26_03-Indonesia-landfill-2-1024x692.jpg" class="attachment-rss-image-size size-rss-image-size wp-post-image" alt="Google Earth image of the site of the 8 March 2026 garbage landslide at the Bantar Gebang Integrated Waste Processing Site in Bekasi, Indonesia." decoding="async" loading="lazy" srcset="https://eos.org/wp-content/uploads/2026/03/26_03-Indonesia-landfill-2-1024x692.jpg 1024w, https://eos.org/wp-content/uploads/2026/03/26_03-Indonesia-landfill-2-480x324.jpg 480w, https://eos.org/wp-content/uploads/2026/03/26_03-Indonesia-landfill-2-768x519.jpg 768w, https://eos.org/wp-content/uploads/2026/03/26_03-Indonesia-landfill-2-1536x1038.jpg 1536w, https://eos.org/wp-content/uploads/2026/03/26_03-Indonesia-landfill-2-2048x1385.jpg 2048w, https://eos.org/wp-content/uploads/2026/03/26_03-Indonesia-landfill-2-1200x811.jpg 1200w, https://eos.org/wp-content/uploads/2026/03/26_03-Indonesia-landfill-2-1568x1060.jpg 1568w, https://eos.org/wp-content/uploads/2026/03/26_03-Indonesia-landfill-2-2000x1352.jpg 2000w, https://eos.org/wp-content/uploads/2026/03/26_03-Indonesia-landfill-2-400x270.jpg 400w" sizes="(max-width: 34.9rem) calc(100vw - 2rem), (max-width: 53rem) calc(8 * (100vw / 12)), (min-width: 53rem) calc(6 * (100vw / 12)), 100vw" /></figure>In March 2026 I recorded 61 fatal landslides causing 520 fatalities, the highest March total on record. This is my regular update for the number of fatal global landslides, focusing on March 2026. AAs usual, this data has been collected in line with the methodology described in Froude and Petley (2018) and in Petley (2012). References are listed [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>In March 2026 I recorded 61 fatal landslides causing 520 fatalities, the highest March total on record. This is my regular update for the number of fatal global landslides, focusing on March 2026. AAs usual, this data has been collected in line with the methodology described in Froude and Petley (2018) and in Petley (2012). References are listed below – please cite these articles if…</p>
<p><a href="https://eos.org/thelandslideblog/fatal-landslides-in-march-2026" rel="nofollow">Source</a></p>]]></content:encoded>
					
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						<media:description>Google Earth image of the site of the 8 March 2026 garbage landslide at the Bantar Gebang Integrated Waste Processing Site in Bekasi, Indonesia. </media:description>
				<media:thumbnail url="https://eos.org/wp-content/uploads/2026/03/26_03-Indonesia-landfill-2-1024x692.jpg" width="780" height="527" />
				<media:content url="https://eos.org/wp-content/uploads/2026/03/26_03-Indonesia-landfill-2-1024x692.jpg" type="image/jpg" medium="image" width="150px" height="auto" />
				<post-id xmlns="com-wordpress:feed-additions:1">246321</post-id>	</item>
		<item>
		<title>Alaska’s Wildfires Heat the Planet, but Canada’s Cool It</title>
		<link>https://eos.org/articles/alaskas-wildfires-heat-the-planet-but-canadas-cool-it</link>
					<comments>https://eos.org/articles/alaskas-wildfires-heat-the-planet-but-canadas-cool-it#respond</comments>
		
		<dc:creator><![CDATA[Saugat Bolakhe]]></dc:creator>
		<pubDate>Thu, 09 Apr 2026 12:37:40 +0000</pubDate>
				<category><![CDATA[News]]></category>
		<category><![CDATA[Alaska]]></category>
		<category><![CDATA[Canada]]></category>
		<category><![CDATA[carbon emissions]]></category>
		<category><![CDATA[climate]]></category>
		<category><![CDATA[Earth science]]></category>
		<category><![CDATA[Modeling]]></category>
		<category><![CDATA[North America]]></category>
		<category><![CDATA[permafrost]]></category>
		<category><![CDATA[wildfires]]></category>
		<guid isPermaLink="false">https://eos.org/?p=246212</guid>

					<description><![CDATA[<figure><img width="1024" height="576" src="https://eos.org/wp-content/uploads/2026/04/denali-fire-scar-1024x576.jpg" class="attachment-rss-image-size size-rss-image-size wp-post-image" alt="A huge, still-smoldering burn scar dominates an aerial image of a forest, with green forest still visible at right." decoding="async" loading="lazy" srcset="https://eos.org/wp-content/uploads/2026/04/denali-fire-scar-1024x576.jpg 1024w, https://eos.org/wp-content/uploads/2026/04/denali-fire-scar-480x270.jpg 480w, https://eos.org/wp-content/uploads/2026/04/denali-fire-scar-768x432.jpg 768w, https://eos.org/wp-content/uploads/2026/04/denali-fire-scar-400x225.jpg 400w, https://eos.org/wp-content/uploads/2026/04/denali-fire-scar.jpg 1200w" sizes="(max-width: 34.9rem) calc(100vw - 2rem), (max-width: 53rem) calc(8 * (100vw / 12)), (min-width: 53rem) calc(6 * (100vw / 12)), 100vw" /></figure>Using 2 decades of satellite data, researchers learned that wildfires in North America don’t follow the same script: In western Canada, snow reflectivity drives a cooling effect, whereas in Alaska, permafrost burning leads to net warming.]]></description>
										<content:encoded><![CDATA[<p>When it comes to wildfires, the story may seem straightforward: As forests burn, they release greenhouse gases like carbon dioxide, carbon monoxide, and methane that warm the planet. But in the far northern parts of North America, wildfires don’t always follow the same script. In a new study published in Nature Geoscience, researchers found that forest fires in Alaska tend to have a warming…</p>
<p><a href="https://eos.org/articles/alaskas-wildfires-heat-the-planet-but-canadas-cool-it" rel="nofollow">Source</a></p>]]></content:encoded>
					
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						<media:description>New research indicates that the climate-warming potential of forest fires, like the Moose Creek Fire that blazed through Denali National Park in 2015, above, must include carbon emissions from thawing permafrost as well as burning biomass. Credit: &lt;a href=&quot;https://www.flickr.com/photos/alaskanps/19900697695/in/album-72157681264144315&quot; target=&quot;_blank&quot;&gt;NPS, Yasunori Matsui/Flickr&lt;/a&gt;, &lt;a href=&quot;https://creativecommons.org/publicdomain/mark/1.0/&quot; target=&quot;_blank&quot;&gt;Public Domain&lt;/a&gt;</media:description>
				<media:thumbnail url="https://eos.org/wp-content/uploads/2026/04/denali-fire-scar-1024x576.jpg" width="780" height="439" />
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				<post-id xmlns="com-wordpress:feed-additions:1">246212</post-id>	</item>
		<item>
		<title>Resolved Storm-Environment Interactions: Linking Local to Global Scales</title>
		<link>https://eos.org/editor-highlights/resolved-storm-environment-interactions-linking-local-to-global-scales</link>
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		<dc:creator><![CDATA[Jiwen Fan]]></dc:creator>
		<pubDate>Thu, 09 Apr 2026 12:00:00 +0000</pubDate>
				<category><![CDATA[Editors' Highlights]]></category>
		<category><![CDATA[climate]]></category>
		<category><![CDATA[everything atmospheric]]></category>
		<category><![CDATA[extreme weather]]></category>
		<category><![CDATA[Journal of Advances in Modeling Earth Systems (JAMES)]]></category>
		<category><![CDATA[Modeling]]></category>
		<guid isPermaLink="false">https://eos.org/?p=246140</guid>

					<description><![CDATA[<figure><img width="1024" height="576" src="https://eos.org/wp-content/uploads/2026/04/Lightning-final-1-1024x576.png" class="attachment-rss-image-size size-rss-image-size wp-post-image" alt="Photo of a lightning bolt." decoding="async" loading="lazy" srcset="https://eos.org/wp-content/uploads/2026/04/Lightning-final-1-1024x576.png 1024w, https://eos.org/wp-content/uploads/2026/04/Lightning-final-1-480x270.png 480w, https://eos.org/wp-content/uploads/2026/04/Lightning-final-1-768x432.png 768w, https://eos.org/wp-content/uploads/2026/04/Lightning-final-1-400x225.png 400w, https://eos.org/wp-content/uploads/2026/04/Lightning-final-1.png 1200w" sizes="(max-width: 34.9rem) calc(100vw - 2rem), (max-width: 53rem) calc(8 * (100vw / 12)), (min-width: 53rem) calc(6 * (100vw / 12)), 100vw" /></figure>Kilometer-scale global climate models offer unprecedented possibilities to simulate thunderstorms and analyze how they interact with their environment across many scales, shaping the climate state.]]></description>
										<content:encoded><![CDATA[<p>Thunderstorms play a central role in tropical weather as they do not only produce local, extreme rainfall, but also interact with their environment. These interactions, from local to large-scale, can strongly influence both the mean climate and its variability. A new generation of kilometer-scale Global Storm-Resolving Models (GSRMs) is expected to represent these multi-scale processes more…</p>
<p><a href="https://eos.org/editor-highlights/resolved-storm-environment-interactions-linking-local-to-global-scales" rel="nofollow">Source</a></p>]]></content:encoded>
					
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						<media:description>Credit: &lt;a href=&quot;https://www.flickr.com/photos/noaaphotolib/27661834650/in/photolist-J9o8HC-jd97Pz-fJJSc3-xHqeAa-vRaggC-jddm1Y-jdbjWL-FQRfUE-9uxgan-jdaEez-jd96ge-jdaA5T-jdbpkL-jddnAw-jdaE9V-8RMDnk-jdaEfg-jddqA9-fEZTLE-jdaAPZ-jdbnij-jd99EP-jdaAbe-jd99rT-jdbmMu-jdbmQf-jd97i4-jddmVy-jddouf-jdaBZV-jd97Yc-jddmXC-jdbp4J-jd98Kn-jdbntu-jddqkQ-jddnTf-jdbm1j-jdaArV-jddq5Q-jddqu7-jddpAU-jdaCgr-jdaCKx-fJJSeW-HD5Tqm-8S5aMi-fJskii-8Qvk81-9grmLu&quot; target=&quot;_blank&quot;&gt; NOAA&lt;/a&gt;</media:description>
				<media:thumbnail url="https://eos.org/wp-content/uploads/2026/04/Lightning-final-1-1024x576.png" width="780" height="439" />
				<media:content url="https://eos.org/wp-content/uploads/2026/04/Lightning-final-1-1024x576.png" type="image/jpg" medium="image" width="150px" height="auto" />
				<post-id xmlns="com-wordpress:feed-additions:1">246140</post-id>	</item>
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		<title>Distant Cousins? How Field Work on Earth Could Help Us to Better Understand Titan</title>
		<link>https://eos.org/editors-vox/distant-cousins-how-field-work-on-earth-could-help-us-to-better-understand-titan</link>
					<comments>https://eos.org/editors-vox/distant-cousins-how-field-work-on-earth-could-help-us-to-better-understand-titan#respond</comments>
		
		<dc:creator><![CDATA[Conor Nixon]]></dc:creator>
		<pubDate>Thu, 09 Apr 2026 12:00:00 +0000</pubDate>
				<category><![CDATA[Editors' Vox]]></category>
		<category><![CDATA[everything atmospheric]]></category>
		<category><![CDATA[fieldwork]]></category>
		<category><![CDATA[plate tectonics]]></category>
		<category><![CDATA[Reviews of Geophysics]]></category>
		<category><![CDATA[Saturn]]></category>
		<category><![CDATA[Space & Planets]]></category>
		<category><![CDATA[spacecraft]]></category>
		<category><![CDATA[Titan]]></category>
		<guid isPermaLink="false">https://eos.org/?p=246287</guid>

					<description><![CDATA[<figure><img width="1024" height="576" src="https://eos.org/wp-content/uploads/2026/04/Titan-Featured-Image-1024x576.png" class="attachment-rss-image-size size-rss-image-size wp-post-image" alt="Six different sides of Titan." decoding="async" loading="lazy" srcset="https://eos.org/wp-content/uploads/2026/04/Titan-Featured-Image-1024x576.png 1024w, https://eos.org/wp-content/uploads/2026/04/Titan-Featured-Image-480x270.png 480w, https://eos.org/wp-content/uploads/2026/04/Titan-Featured-Image-768x432.png 768w, https://eos.org/wp-content/uploads/2026/04/Titan-Featured-Image-400x225.png 400w, https://eos.org/wp-content/uploads/2026/04/Titan-Featured-Image.png 1200w" sizes="(max-width: 34.9rem) calc(100vw - 2rem), (max-width: 53rem) calc(8 * (100vw / 12)), (min-width: 53rem) calc(6 * (100vw / 12)), 100vw" /></figure>What do Saturn’s moon Titan and the Earth have in common? Quite a lot as it turns out, from hydrocarbon deposits to polar clouds, lakes and rivers, craters and canyons, and more.]]></description>
										<content:encoded><![CDATA[<p>While Saturn has 274 confirmed moons in its orbit, its largest moon, Titan, is of particular interest to researchers due to its similarities to Earth. A new article in Reviews of Geophysics explores the geophysical parallels between Earth and Titan, and how scientists could use field work on Earth to learn more about both worlds. Here, we asked the lead author to give an overview of Titan…</p>
<p><a href="https://eos.org/editors-vox/distant-cousins-how-field-work-on-earth-could-help-us-to-better-understand-titan" rel="nofollow">Source</a></p>]]></content:encoded>
					
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						<media:description>Titan as seen by the Visual and Infrared Mapping Spectrometer (VIMS) instrument on the Cassini spacecraft. These false-color images of different sides of the moon were composited from over 13 years of observations and show dark dune fields, bright icy highlands and several large circular impact craters Credit: NASA/JPL-Caltech/University of Nantes/University of Arizona</media:description>
				<media:thumbnail url="https://eos.org/wp-content/uploads/2026/04/Titan-Featured-Image-1024x576.png" width="780" height="439" />
				<media:content url="https://eos.org/wp-content/uploads/2026/04/Titan-Featured-Image-1024x576.png" type="image/jpg" medium="image" width="150px" height="auto" />
				<post-id xmlns="com-wordpress:feed-additions:1">246287</post-id>	</item>
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		<title>Curiosity Stumbles Upon Evidence of Ancient Martian Winds</title>
		<link>https://eos.org/research-and-developments/curiosity-stumbles-upon-evidence-of-ancient-martian-winds</link>
					<comments>https://eos.org/research-and-developments/curiosity-stumbles-upon-evidence-of-ancient-martian-winds#respond</comments>
		
		<dc:creator><![CDATA[Emily Gardner]]></dc:creator>
		<pubDate>Wed, 08 Apr 2026 14:50:02 +0000</pubDate>
				<category><![CDATA[Research & Developments]]></category>
		<category><![CDATA[Gale Crater]]></category>
		<category><![CDATA[Mars]]></category>
		<category><![CDATA[Mars Curiosity Rover]]></category>
		<category><![CDATA[sand]]></category>
		<category><![CDATA[sediments]]></category>
		<category><![CDATA[Space & Planets]]></category>
		<category><![CDATA[spacecraft]]></category>
		<category><![CDATA[stratigraphy]]></category>
		<category><![CDATA[wind]]></category>
		<guid isPermaLink="false">https://eos.org/?p=246241</guid>

					<description><![CDATA[<figure><img width="1024" height="576" src="https://eos.org/wp-content/uploads/2026/04/26_12_Fig1-crop-1024x576.jpg" class="attachment-rss-image-size size-rss-image-size wp-post-image" alt="An image, taken from the surface of Mars, shows rocks of various sizes. Many are marked with a ripple pattern." decoding="async" loading="lazy" srcset="https://eos.org/wp-content/uploads/2026/04/26_12_Fig1-crop-1024x576.jpg 1024w, https://eos.org/wp-content/uploads/2026/04/26_12_Fig1-crop-480x270.jpg 480w, https://eos.org/wp-content/uploads/2026/04/26_12_Fig1-crop-768x432.jpg 768w, https://eos.org/wp-content/uploads/2026/04/26_12_Fig1-crop-400x225.jpg 400w, https://eos.org/wp-content/uploads/2026/04/26_12_Fig1-crop.jpg 1200w" sizes="(max-width: 34.9rem) calc(100vw - 2rem), (max-width: 53rem) calc(8 * (100vw / 12)), (min-width: 53rem) calc(6 * (100vw / 12)), 100vw" /></figure>Researchers have found evidence of a sandstorm on Mars that occurred about 3.6 billion years ago.]]></description>
										<content:encoded><![CDATA[<p>Researchers have found evidence of a sandstorm on Mars that occurred about 3.6 billion years ago, marking the first time a sandstorm has been recognized in the Martian stratigraphic record. They published their findings in Geology. It’s not that scientists didn’t know that wind once blew on Mars. It does so now, and features on the planet’s surface, like dry riverbeds…</p>
<p><a href="https://eos.org/research-and-developments/curiosity-stumbles-upon-evidence-of-ancient-martian-winds" rel="nofollow">Source</a></p>]]></content:encoded>
					
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						<media:description>These climbing ripple strata on the Martian surface provide direct evidence of a sandstorm on the planet, about 3.6 billion years ago. Credit: &lt;a href=&quot;https://www.geosociety.org/GSA/News/pr/2026/GSA_News_Release_26-12.aspx&quot; target=&quot;_blank&quot; rel=&quot;noopener noreferrer&quot;&gt; NASA/JPL-Caltech/MSSS &lt;/a&gt;</media:description>
				<media:thumbnail url="https://eos.org/wp-content/uploads/2026/04/26_12_Fig1-crop-1024x576.jpg" width="780" height="439" />
				<media:content url="https://eos.org/wp-content/uploads/2026/04/26_12_Fig1-crop-1024x576.jpg" type="image/jpg" medium="image" width="150px" height="auto" />
				<post-id xmlns="com-wordpress:feed-additions:1">246241</post-id>	</item>
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		<title>Asteroid Hosts All Ingredients for DNA and RNA</title>
		<link>https://eos.org/articles/asteroid-hosts-all-ingredients-for-dna-and-rna</link>
					<comments>https://eos.org/articles/asteroid-hosts-all-ingredients-for-dna-and-rna#respond</comments>
		
		<dc:creator><![CDATA[Matthew R. Francis]]></dc:creator>
		<pubDate>Wed, 08 Apr 2026 12:44:33 +0000</pubDate>
				<category><![CDATA[News]]></category>
		<category><![CDATA[asteroids]]></category>
		<category><![CDATA[biogeochemistry]]></category>
		<category><![CDATA[life as we know it]]></category>
		<category><![CDATA[meteors & meteorites]]></category>
		<category><![CDATA[solar system]]></category>
		<category><![CDATA[Space & Planets]]></category>
		<category><![CDATA[spacecraft]]></category>
		<guid isPermaLink="false">https://eos.org/?p=246180</guid>

					<description><![CDATA[<figure><img width="1024" height="576" src="https://eos.org/wp-content/uploads/2026/04/ryugu-detail-1024x576.jpg" class="attachment-rss-image-size size-rss-image-size wp-post-image" alt="The dusty, dark gray surface of asteroid Ryugu is scattered with boulders and a few craters." decoding="async" loading="lazy" srcset="https://eos.org/wp-content/uploads/2026/04/ryugu-detail-1024x576.jpg 1024w, https://eos.org/wp-content/uploads/2026/04/ryugu-detail-480x270.jpg 480w, https://eos.org/wp-content/uploads/2026/04/ryugu-detail-768x432.jpg 768w, https://eos.org/wp-content/uploads/2026/04/ryugu-detail-400x225.jpg 400w, https://eos.org/wp-content/uploads/2026/04/ryugu-detail.jpg 1200w" sizes="(max-width: 34.9rem) calc(100vw - 2rem), (max-width: 53rem) calc(8 * (100vw / 12)), (min-width: 53rem) calc(6 * (100vw / 12)), 100vw" /></figure>Samples collected from asteroid Ryugu contain the four genetic “letters” of DNA, reinforcing the hypothesis that the chemical origins of life were present when the solar system began.]]></description>
										<content:encoded><![CDATA[<p>The basic ingredients for life as we know it are common in the cosmos. Scientists are still learning which of those ingredients were present on primordial Earth, and how they combined to make life remains an unsolved mystery. However, many researchers now think many of the molecules necessary for life were already present in the nebula that grew into our solar system, which would mean the…</p>
<p><a href="https://eos.org/articles/asteroid-hosts-all-ingredients-for-dna-and-rna" rel="nofollow">Source</a></p>]]></content:encoded>
					
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						<media:description>The asteroid Ryugu is seen by the Hayabusa2 spacecraft from a distance of 6 kilometers. Credit: &lt;a href=&quot;https://www.isas.jaxa.jp/en/gallery/feature/ryugu/0027.html&quot; target=&quot;_blank&quot;&gt;JAXA, University of Tokyo, Kochi University, Rikkyo University, Nagoya University, Chiba Institute of Technology, Meiji University, University of Aizu, AIST&lt;/a&gt;</media:description>
				<media:thumbnail url="https://eos.org/wp-content/uploads/2026/04/ryugu-detail-1024x576.jpg" width="780" height="439" />
				<media:content url="https://eos.org/wp-content/uploads/2026/04/ryugu-detail-1024x576.jpg" type="image/jpg" medium="image" width="150px" height="auto" />
				<post-id xmlns="com-wordpress:feed-additions:1">246180</post-id>	</item>
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		<title>An Ancient Landscape Beneath the East Antarctic Ice Sheet</title>
		<link>https://eos.org/editor-highlights/an-ancient-landscape-beneath-the-east-antarctic-ice-sheet</link>
					<comments>https://eos.org/editor-highlights/an-ancient-landscape-beneath-the-east-antarctic-ice-sheet#respond</comments>
		
		<dc:creator><![CDATA[Ann Rowan]]></dc:creator>
		<pubDate>Wed, 08 Apr 2026 12:00:00 +0000</pubDate>
				<category><![CDATA[Editors' Highlights]]></category>
		<category><![CDATA[Antarctica]]></category>
		<category><![CDATA[Climate Change]]></category>
		<category><![CDATA[Earth science]]></category>
		<category><![CDATA[erosion & weathering]]></category>
		<category><![CDATA[glaciers & ice sheets]]></category>
		<category><![CDATA[Journal of Geophysical Research: Earth Surface]]></category>
		<category><![CDATA[plate tectonics]]></category>
		<guid isPermaLink="false">https://eos.org/?p=246135</guid>

					<description><![CDATA[<figure><img width="1024" height="576" src="https://eos.org/wp-content/uploads/2026/04/jgrf70065-fig-0001-m-1024x576.png" class="attachment-rss-image-size size-rss-image-size wp-post-image" alt="Map from the study." decoding="async" loading="lazy" srcset="https://eos.org/wp-content/uploads/2026/04/jgrf70065-fig-0001-m-1024x576.png 1024w, https://eos.org/wp-content/uploads/2026/04/jgrf70065-fig-0001-m-480x270.png 480w, https://eos.org/wp-content/uploads/2026/04/jgrf70065-fig-0001-m-768x432.png 768w, https://eos.org/wp-content/uploads/2026/04/jgrf70065-fig-0001-m-400x225.png 400w, https://eos.org/wp-content/uploads/2026/04/jgrf70065-fig-0001-m.png 1200w" sizes="(max-width: 34.9rem) calc(100vw - 2rem), (max-width: 53rem) calc(8 * (100vw / 12)), (min-width: 53rem) calc(6 * (100vw / 12)), 100vw" /></figure>Geophysical observations of the subglacial topography of Coats Land reveal a landscape formed by tectonics and fluvial erosion that influenced the formation of the East Antarctic Ice Sheet.]]></description>
										<content:encoded><![CDATA[<p>Earth’s ice sheets are changing rapidly in response to anthropogenic climate change, and these changes are modulated by their basal topography. Visualizing the landscape that lies beneath the East Antarctic Ice Sheet not only allows glaciologists to improve model projections of future ice sheet change, but also provides a glimpse of a landscape hidden beneath ice. Paxman et al. [2026] used…</p>
<p><a href="https://eos.org/editor-highlights/an-ancient-landscape-beneath-the-east-antarctic-ice-sheet" rel="nofollow">Source</a></p>]]></content:encoded>
					
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						<media:description>Magnetic anomaly map of the subglacial topography of Coats Land beneath the East Antarctic Ice Sheet, showing variations in the Earth’s magnetic field. The boundaries between high (red) and low (blue) values indicate steep geological surfaces, such as major fault systems. Credit: &lt;a href=&quot;https://doi.org/10.1029/2025JF008590&quot; target=&quot;_blank&quot;&gt;Paxman et al. [2026]&lt;/a&gt;, Figure 1d</media:description>
				<media:thumbnail url="https://eos.org/wp-content/uploads/2026/04/jgrf70065-fig-0001-m-1024x576.png" width="780" height="439" />
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				<post-id xmlns="com-wordpress:feed-additions:1">246135</post-id>	</item>
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		<title>Raknehaugen in Norway: an Iron Age memorial to a landslide</title>
		<link>https://eos.org/thelandslideblog/raknehaugen-in-norway-an-iron-age-memorial-to-a-landslide</link>
					<comments>https://eos.org/thelandslideblog/raknehaugen-in-norway-an-iron-age-memorial-to-a-landslide#respond</comments>
		
		<dc:creator><![CDATA[Dave Petley]]></dc:creator>
		<pubDate>Wed, 08 Apr 2026 10:25:45 +0000</pubDate>
				<category><![CDATA[The Landslide Blog]]></category>
		<category><![CDATA[archaeology]]></category>
		<category><![CDATA[Climate Change]]></category>
		<category><![CDATA[Europe]]></category>
		<category><![CDATA[Hazards & Disasters]]></category>
		<category><![CDATA[landslide]]></category>
		<category><![CDATA[Norway]]></category>
		<guid isPermaLink="false">https://eos.org/?p=246231</guid>

					<description><![CDATA[<figure><img width="1024" height="562" src="https://eos.org/wp-content/uploads/2026/04/26_04-Raknis-Mound-1-1024x562.jpg" class="attachment-rss-image-size size-rss-image-size wp-post-image" alt="Google Earth image of the site of Raknehaugen." decoding="async" loading="lazy" srcset="https://eos.org/wp-content/uploads/2026/04/26_04-Raknis-Mound-1-1024x562.jpg 1024w, https://eos.org/wp-content/uploads/2026/04/26_04-Raknis-Mound-1-480x263.jpg 480w, https://eos.org/wp-content/uploads/2026/04/26_04-Raknis-Mound-1-768x421.jpg 768w, https://eos.org/wp-content/uploads/2026/04/26_04-Raknis-Mound-1-1536x843.jpg 1536w, https://eos.org/wp-content/uploads/2026/04/26_04-Raknis-Mound-1-2048x1124.jpg 2048w, https://eos.org/wp-content/uploads/2026/04/26_04-Raknis-Mound-1-1200x658.jpg 1200w, https://eos.org/wp-content/uploads/2026/04/26_04-Raknis-Mound-1-1568x860.jpg 1568w, https://eos.org/wp-content/uploads/2026/04/26_04-Raknis-Mound-1-2000x1097.jpg 2000w, https://eos.org/wp-content/uploads/2026/04/26_04-Raknis-Mound-1-400x219.jpg 400w" sizes="(max-width: 34.9rem) calc(100vw - 2rem), (max-width: 53rem) calc(8 * (100vw / 12)), (min-width: 53rem) calc(6 * (100vw / 12)), 100vw" /></figure>An Iron Age burial mound in Norway has been reinterpreted as being a memorial for a catastrophic landslide during a period of climatic instability. There is a very interesting article (Gustavsen 2026) in the European Journal of Archaeology that re-examines an Iron Age mound known as Raknehaugen (Rakni&#8217;s Mound) in Norway. This mound has, until [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>An Iron Age burial mound in Norway has been reinterpreted as being a memorial for a catastrophic landslide during a period of climatic instability. There is a very interesting article (Gustavsen 2026) in the European Journal of Archaeology that re-examines an Iron Age mound known as Raknehaugen (Rakni’s Mound) in Norway. This mound has, until now, been interpreted as being the burial…</p>
<p><a href="https://eos.org/thelandslideblog/raknehaugen-in-norway-an-iron-age-memorial-to-a-landslide" rel="nofollow">Source</a></p>]]></content:encoded>
					
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						<media:description>Google Earth image of the site of Raknehaugen.</media:description>
				<media:thumbnail url="https://eos.org/wp-content/uploads/2026/04/26_04-Raknis-Mound-1-1024x562.jpg" width="780" height="428" />
				<media:content url="https://eos.org/wp-content/uploads/2026/04/26_04-Raknis-Mound-1-1024x562.jpg" type="image/jpg" medium="image" width="150px" height="auto" />
				<post-id xmlns="com-wordpress:feed-additions:1">246231</post-id>	</item>
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		<title>A Peculiar Polymer Paired with Sunlight Could Remove PFAS</title>
		<link>https://eos.org/articles/a-peculiar-polymer-paired-with-sunlight-could-remove-pfas</link>
					<comments>https://eos.org/articles/a-peculiar-polymer-paired-with-sunlight-could-remove-pfas#respond</comments>
		
		<dc:creator><![CDATA[Emily Gardner]]></dc:creator>
		<pubDate>Tue, 07 Apr 2026 13:01:02 +0000</pubDate>
				<category><![CDATA[News]]></category>
		<category><![CDATA[Forever Chemicals: per- and polyfluoroalkyl substances]]></category>
		<category><![CDATA[geochemistry]]></category>
		<category><![CDATA[Health & Ecosystems]]></category>
		<category><![CDATA[light]]></category>
		<category><![CDATA[water]]></category>
		<guid isPermaLink="false">https://eos.org/?p=246102</guid>

					<description><![CDATA[<figure><img width="1024" height="576" src="https://eos.org/wp-content/uploads/2026/04/sunbeams-on-water-1024x576.jpg" class="attachment-rss-image-size size-rss-image-size wp-post-image" alt="Yellow light shines through a layer of clouds onto the ocean below. A volcano is visible, in silhouette, in the distance." decoding="async" loading="lazy" srcset="https://eos.org/wp-content/uploads/2026/04/sunbeams-on-water-1024x576.jpg 1024w, https://eos.org/wp-content/uploads/2026/04/sunbeams-on-water-480x270.jpg 480w, https://eos.org/wp-content/uploads/2026/04/sunbeams-on-water-768x432.jpg 768w, https://eos.org/wp-content/uploads/2026/04/sunbeams-on-water-400x225.jpg 400w, https://eos.org/wp-content/uploads/2026/04/sunbeams-on-water.jpg 1200w" sizes="(max-width: 34.9rem) calc(100vw - 2rem), (max-width: 53rem) calc(8 * (100vw / 12)), (min-width: 53rem) calc(6 * (100vw / 12)), 100vw" /></figure>A new photocatalyst might help take the “forever” out of “forever chemicals” present in water.]]></description>
										<content:encoded><![CDATA[<p>Because they are used in everything from cosmetics to dental floss to nonstick pans, per- and polyfluoroalkyl substances (PFAS) are frustratingly abundant in our environment, including in our food, rain, and drinking water. They’re persistent, too, earning their nickname “forever chemicals,” and have been linked to health effects ranging from cancers to liver toxicity to reduced fertility.</p>
<p><a href="https://eos.org/articles/a-peculiar-polymer-paired-with-sunlight-could-remove-pfas" rel="nofollow">Source</a></p>]]></content:encoded>
					
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						<media:description>New research suggests that sunlight, when combined with a photocatalyst and a specialized polymer, could be used to remove “forever chemicals” from drinking water. Credit: &lt;a href=&quot;https://www.flickr.com/photos/rikpiks/14328505174/&quot; target=&quot;_blank&quot;&gt;Richard Rydge/Flickr&lt;/a&gt;, &lt;a href=&quot;https://creativecommons.org/licenses/by-nc-nd/2.0/legalcode.en&quot; target=&quot;_blank&quot;&gt;CC BY-NC-ND 2.0&lt;/a&gt;</media:description>
				<media:thumbnail url="https://eos.org/wp-content/uploads/2026/04/sunbeams-on-water-1024x576.jpg" width="780" height="439" />
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				<post-id xmlns="com-wordpress:feed-additions:1">246102</post-id>	</item>
		<item>
		<title>Taming the Seismicity Tsunami with a Scalable Bayesian Framework</title>
		<link>https://eos.org/editor-highlights/taming-the-seismicity-tsunami-with-a-scalable-bayesian-framework</link>
					<comments>https://eos.org/editor-highlights/taming-the-seismicity-tsunami-with-a-scalable-bayesian-framework#respond</comments>
		
		<dc:creator><![CDATA[Hsin-Hua Huang]]></dc:creator>
		<pubDate>Tue, 07 Apr 2026 12:00:00 +0000</pubDate>
				<category><![CDATA[Editors' Highlights]]></category>
		<category><![CDATA[earthquakes]]></category>
		<category><![CDATA[Hazards & Disasters]]></category>
		<category><![CDATA[Journal of Geophysical Research: Solid Earth]]></category>
		<category><![CDATA[machine learning & AI]]></category>
		<category><![CDATA[seismology]]></category>
		<guid isPermaLink="false">https://eos.org/?p=246119</guid>

					<description><![CDATA[<figure><img width="1024" height="576" src="https://eos.org/wp-content/uploads/2026/04/jgrb70271-fig-0006-m-1024x576.png" class="attachment-rss-image-size size-rss-image-size wp-post-image" alt="" decoding="async" loading="lazy" srcset="https://eos.org/wp-content/uploads/2026/04/jgrb70271-fig-0006-m-1024x576.png 1024w, https://eos.org/wp-content/uploads/2026/04/jgrb70271-fig-0006-m-480x270.png 480w, https://eos.org/wp-content/uploads/2026/04/jgrb70271-fig-0006-m-768x432.png 768w, https://eos.org/wp-content/uploads/2026/04/jgrb70271-fig-0006-m-400x225.png 400w, https://eos.org/wp-content/uploads/2026/04/jgrb70271-fig-0006-m.png 1200w" sizes="(max-width: 34.9rem) calc(100vw - 2rem), (max-width: 53rem) calc(8 * (100vw / 12)), (min-width: 53rem) calc(6 * (100vw / 12)), 100vw" /></figure>By combining the power of artificial intelligence with advanced physics simulations, a new framework called “SPIDER” allows us to map seismic activity with unprecedented clarity.]]></description>
										<content:encoded><![CDATA[<p>Machine learning allows us to detect millions of tiny earthquakes, but our current tools struggle to process this “data tsunami” with high precision. While a popularized mathematical approach called “Bayesian inference” can tell us exactly how reliable an earthquake’s location is, it is usually too slow to handle such massive amounts of information. This is especially true for “double-difference”…</p>
<p><a href="https://eos.org/editor-highlights/taming-the-seismicity-tsunami-with-a-scalable-bayesian-framework" rel="nofollow">Source</a></p>]]></content:encoded>
					
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						<media:description>These images show where earthquakes happened during the Noto Peninsula swarm in Japan. Maps (a) and (c) use a standard existing method (GrowClust), while maps (b) and (d) show the results from the new tool, SPIDER. The side-view (cross-section) only displays earthquakes that occurred within 2.5 kilometers (about 1.5 miles) of the purple line on the map. Credit: &lt;a href=&quot;https://doi.org/10.1029/2025JB032769&quot; target=&quot;_blank&quot;&gt;Ross et al. [2026]&lt;/a&gt;, Figure 6</media:description>
				<media:thumbnail url="https://eos.org/wp-content/uploads/2026/04/jgrb70271-fig-0006-m-1024x576.png" width="780" height="439" />
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				<post-id xmlns="com-wordpress:feed-additions:1">246119</post-id>	</item>
		<item>
		<title>Oceans Are Absorbing the Earth’s Excess Energy. That’s Bad News for Food Systems.</title>
		<link>https://eos.org/articles/oceans-are-absorbing-the-earths-excess-energy-thats-bad-news-for-food-systems</link>
					<comments>https://eos.org/articles/oceans-are-absorbing-the-earths-excess-energy-thats-bad-news-for-food-systems#respond</comments>
		
		<dc:creator><![CDATA[Frida Garza]]></dc:creator>
		<pubDate>Mon, 06 Apr 2026 12:42:58 +0000</pubDate>
				<category><![CDATA[News]]></category>
		<category><![CDATA[agriculture]]></category>
		<category><![CDATA[climate]]></category>
		<category><![CDATA[Climate Change]]></category>
		<category><![CDATA[food]]></category>
		<category><![CDATA[Health & Ecosystems]]></category>
		<category><![CDATA[meteorology]]></category>
		<category><![CDATA[Oceans]]></category>
		<category><![CDATA[sea level change]]></category>
		<guid isPermaLink="false">https://eos.org/?p=246065</guid>

					<description><![CDATA[<figure><img width="1024" height="576" src="https://eos.org/wp-content/uploads/2026/04/broom-dust-pollution-1024x576.jpg" class="attachment-rss-image-size size-rss-image-size wp-post-image" alt="Lead remnants found in household dust" decoding="async" loading="lazy" srcset="https://eos.org/wp-content/uploads/2026/04/broom-dust-pollution-1024x576.jpg 1024w, https://eos.org/wp-content/uploads/2026/04/broom-dust-pollution-480x270.jpg 480w, https://eos.org/wp-content/uploads/2026/04/broom-dust-pollution-768x432.jpg 768w, https://eos.org/wp-content/uploads/2026/04/broom-dust-pollution-400x225.jpg 400w, https://eos.org/wp-content/uploads/2026/04/broom-dust-pollution.jpg 1200w" sizes="(max-width: 34.9rem) calc(100vw - 2rem), (max-width: 53rem) calc(8 * (100vw / 12)), (min-width: 53rem) calc(6 * (100vw / 12)), 100vw" /></figure>As the planet traps more energy than it releases, the pathways for global food production are being upended.]]></description>
										<content:encoded><![CDATA[<p>Every year, the World Meteorological Organization, or WMO, tracks a set of key climate indicators—including the amount of carbon dioxide in the atmosphere and the Earth’s temperature—to assess how global warming is progressing. In their latest report, released last Sunday, the authors decided to include a new measure: the Earth’s energy imbalance. “Climate change is often discussed in…</p>
<p><a href="https://eos.org/articles/oceans-are-absorbing-the-earths-excess-energy-thats-bad-news-for-food-systems" rel="nofollow">Source</a></p>]]></content:encoded>
					
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						<media:description>Oceans (including the Gulf Stream in the Atlantic, above) absorb about 91% of the excess energy hanging out in the Earth’s climate these days. Credit: &lt;a href=&quot;https://oceandata.sci.gsfc.nasa.gov/gallery/634/&quot; target=&quot;_blank&quot;&gt;NASA&lt;/a&gt;</media:description>
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