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<rss version="2.0"><channel><description>Assistant Professor of Environmental Engineering at UIUC&#xA;&#xA;https://ctessum.cee.illinois.edu/</description><link>https://bsky.app/profile/ctessum.bsky.social</link><title>@ctessum.bsky.social - Chris Tessum</title><item><link>https://bsky.app/profile/ctessum.bsky.social/post/3mjpljtxfn22k</link><description>Excited to share Shiyuan Wang&#39;s paper &#34;International trade and air-quality-related mortality&#34; published in Nature Communications! https://doi.org/10.1038/s41467-026-71408-w</description><pubDate>17 Apr 2026 18:46 +0000</pubDate><guid isPermaLink="false">at://did:plc:plyulgd3khfkddgp7jxem35o/app.bsky.feed.post/3mjpljtxfn22k</guid></item><item><link>https://bsky.app/profile/ctessum.bsky.social/post/3mh7y6ryhhc2j</link><description>Just finished a workshop about equation-based air quality modeling using earthsci.dev at IIT Bombay! Thanks to Srinidhi Balasubramanian for hosting!</description><pubDate>17 Mar 2026 03:00 +0000</pubDate><guid isPermaLink="false">at://did:plc:plyulgd3khfkddgp7jxem35o/app.bsky.feed.post/3mh7y6ryhhc2j</guid></item><item><link>https://bsky.app/profile/ctessum.bsky.social/post/3lobvu6zuws24</link><description>We have a new preprint out! https://essopenarchive.org/doi/full/10.22541/essoar.174534373.33273911&#xA;&#xA;In it, Xiaokai Yang, Lin Guo and I explore a method for making atmospheric chemistry surrogate models which are guaranteed to not have exploding errors. This is a step toward generally useful machine-learned models of the atmosphere.</description><pubDate>03 May 2025 17:54 +0000</pubDate><guid isPermaLink="false">at://did:plc:plyulgd3khfkddgp7jxem35o/app.bsky.feed.post/3lobvu6zuws24</guid></item><item><link>https://bsky.app/profile/ctessum.bsky.social/post/3lcjg7ss65c2b</link><description>We have a new paper just published about using machine learning to estimate uncertainty in atmospheric chemistry modeling! http://dx.doi.org/10.1029/2024JH000358</description><pubDate>05 Dec 2024 00:33 +0000</pubDate><guid isPermaLink="false">at://did:plc:plyulgd3khfkddgp7jxem35o/app.bsky.feed.post/3lcjg7ss65c2b</guid></item><item><link>https://bsky.app/profile/ctessum.bsky.social/post/3kxesh4yxms2m</link><description>We have a new preprint led by student Lin Guo! It is about uncertainty quantification in atmospheric chemistry modeling: arxiv.org/abs/2407.09757&#xA;https://arxiv.org/abs/2407.09757</description><pubDate>16 Jul 2024 04:51 +0000</pubDate><guid isPermaLink="false">at://did:plc:plyulgd3khfkddgp7jxem35o/app.bsky.feed.post/3kxesh4yxms2m</guid></item><item><link>https://bsky.app/profile/ctessum.bsky.social/post/3kc2lw5gy3o2w</link><description>I was quoted in this article! https://www.npr.org/2023/10/17/1205592486/major-u-s-science-group-lays-out-a-path-to-smooth-the-energy-transtion</description><pubDate>18 Oct 2023 21:39 +0000</pubDate><guid isPermaLink="false">at://did:plc:plyulgd3khfkddgp7jxem35o/app.bsky.feed.post/3kc2lw5gy3o2w</guid></item><item><link>https://bsky.app/profile/ctessum.bsky.social/post/3k7wpl3vael2u</link><description>We have a new preprint out today! arxiv.org/abs/2309.11035 We find that replacing the advection operator with a machine-learned surrogate may help the model run faster and/or be more accurate in certain situations.&#xA;https://arxiv.org/abs/2309.11035</description><pubDate>21 Sep 2023 21:43 +0000</pubDate><guid isPermaLink="false">at://did:plc:plyulgd3khfkddgp7jxem35o/app.bsky.feed.post/3k7wpl3vael2u</guid></item><item><link>https://bsky.app/profile/ctessum.bsky.social/post/3k7ugxvnnsy2m</link><description>I&#39;m quoted in this article! (Although the quote is me saying something that pretty much everyone already knows)&#xA;https://www.nytimes.com/2023/09/20/climate/wildfire-smoke-air-pollution.html</description><pubDate>21 Sep 2023 00:04 +0000</pubDate><guid isPermaLink="false">at://did:plc:plyulgd3khfkddgp7jxem35o/app.bsky.feed.post/3k7ugxvnnsy2m</guid></item></channel></rss>