<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>JWST | Ruizhi Zhan</title><link>https://ruizhizhan.github.io/tags/jwst/</link><atom:link href="https://ruizhizhan.github.io/tags/jwst/index.xml" rel="self" type="application/rss+xml"/><description>JWST</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 20 May 2025 00:00:00 +0000</lastBuildDate><image><url>https://ruizhizhan.github.io/media/icon.svg</url><title>JWST</title><link>https://ruizhizhan.github.io/tags/jwst/</link></image><item><title>Utilizing 3D GCMs to reinterpret JWST observations of 55 Cancri e.</title><link>https://ruizhizhan.github.io/research/55cnce/</link><pubDate>Tue, 20 May 2025 00:00:00 +0000</pubDate><guid>https://ruizhizhan.github.io/research/55cnce/</guid><description>&lt;p&gt;Recent observations of 55 Cancri e suggest an atmosphere rich in CO or CO&lt;sub&gt;2&lt;/sub&gt; (
); other observations indicate the planet’s eclipse depth is highly variable (e.g.
).&lt;/p&gt;
&lt;figure&gt;&lt;img src="https://ruizhizhan.github.io/images/JWST_spec.png"
alt="Thermal emission spectrum of 55 Cancri e ( ). The best-fit models are a blackbody or a CO2–N2, CO2–CO, or CO-only atmosphere with varied composition and pressure–temperature profiles." width="95%"&gt;&lt;figcaption&gt;
&lt;p&gt;Thermal emission spectrum of 55 Cancri e (
). The best-fit models are a blackbody or a CO&lt;sub&gt;2&lt;/sub&gt;–N&lt;sub&gt;2&lt;/sub&gt;, CO&lt;sub&gt;2&lt;/sub&gt;–CO, or CO-only atmosphere with varied composition and pressure–temperature profiles.&lt;/p&gt;
&lt;/figcaption&gt;
&lt;/figure&gt;
&lt;p&gt;So far, these observations have only been interpreted using 1D models without self-consistent heat redistribution. We apply
simulations with custom non-grey radiative transfer to reinterpret JWST observations of 55 Cancri e.&lt;/p&gt;
&lt;figure&gt;&lt;img src="https://ruizhizhan.github.io/images/GCMfit.png"
alt="GCM simulations compared with the JWST thermal-emission spectrum of 55 Cancri e." width="95%"&gt;&lt;figcaption&gt;
&lt;p&gt;GCM simulations compared with the JWST thermal-emission spectrum of 55 Cancri e.&lt;/p&gt;
&lt;/figcaption&gt;
&lt;/figure&gt;
&lt;p&gt;Our best-fit simulations match the JWST spectra well, favoring an atmosphere that is both thick (≥ 10 bar) and CO&lt;sub&gt;2&lt;/sub&gt;-rich (&amp;gt; 1% CO&lt;sub&gt;2&lt;/sub&gt; volume mixing ratio), while ruling out thin (&amp;lt; 10 bar) and pure-CO/CO&lt;sub&gt;2&lt;/sub&gt;-poor atmospheres, which were previously proposed based on 1D models (
;
).&lt;/p&gt;
&lt;video controls muted playsinline style="display: block; margin: 2rem auto 0; max-width: 95%; width: 100%;"&gt;
&lt;source src="https://ruizhizhan.github.io/videos/gcm_simulations.mp4" type="video/mp4"&gt;
&lt;/video&gt;
&lt;p&gt;We also find that large-scale atmospheric dynamics, i.e., weather, is insufficient to explain the observed variability. A thick, CO&lt;sub&gt;2&lt;/sub&gt;-rich atmosphere implies that 55 Cancri e likely formed with significantly more volatiles than Earth and Venus. In addition, a thick atmosphere makes it unlikely that the planet’s variability is caused by transient outgassing (
), favoring other variability mechanisms such as clouds. Our work provides model constraints for upcoming JWST observations of 55 Cancri e and highlights the importance of interpreting thermal-emission observations with self-consistent 3D models.&lt;/p&gt;
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