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<oembed><version>1.0</version><provider_name>Berkeley Earth</provider_name><provider_url>https://berkeleyearth.org</provider_url><author_name>Judith Sissener</author_name><author_url>https://berkeleyearth.org/author/judith/</author_url><title>SimMod: A simple python based climate model - Berkeley Earth</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content"&gt;&lt;a href="https://berkeleyearth.org/simmod-a-simple-python-based-climate-model-new/"&gt;SimMod: A simple python based climate model&lt;/a&gt;&lt;/blockquote&gt;
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&lt;/script&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://berkeleyearth.org/simmod-a-simple-python-based-climate-model-new/embed/" width="600" height="338" title="&#x201C;SimMod: A simple python based climate model&#x201D; &#x2014; Berkeley Earth" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;</html><description>by: Zeke Hausfather, Berkeley Earth&nbsp;zeke@berkeleyearth.org The relationship between greenhouse gas (GHG) emissions and future warming is complex, depending on the atmospheric lifetime of gases, their radiative forcing, and the thermal inertia of the Earth, particularly our oceans. Many non-CO2 GHGs have shorter atmospheric lifetimes, and the global warming-equivalent values commonly used for analysis of emission [&hellip;]</description><thumbnail_url>http://berkeleyearth.org/wp-content/uploads/2016/06/Figure1.png</thumbnail_url></oembed>
