<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Weekly on Captain Drawdown's CDR Databases</title><link>https://captaindrawdown.com/tags/weekly/</link><description>Recent content in Weekly on Captain Drawdown's CDR Databases</description><image><title>Captain Drawdown's CDR Databases</title><url>https://captaindrawdown.com/images/og-default.png</url><link>https://captaindrawdown.com/images/og-default.png</link></image><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 07 Nov 2026 08:31:16 +0100</lastBuildDate><atom:link href="https://captaindrawdown.com/tags/weekly/index.xml" rel="self" type="application/rss+xml"/><item><title>CDR Week 45/2026: A value-at-risk metric finally puts numbers on permanence</title><link>https://captaindrawdown.com/posts/cdr-week-2026-45/</link><pubDate>Sat, 07 Nov 2026 08:31:16 +0100</pubDate><guid>https://captaindrawdown.com/posts/cdr-week-2026-45/</guid><description>&lt;p>The most useful paper this week gives carbon dioxide removal (CDR) a single probabilistic number for permanence risk, and its first calibration puts a California forest project&amp;rsquo;s 95% carbon at risk above 70% over 200 years. Geological storage scores between 0.15% and 17% on the same scale, which makes the permanent versus non-permanent label look crude.&lt;/p>
&lt;h2 id="carbon-at-risk-permanence-gets-a-metric">Carbon at risk: permanence gets a metric&lt;/h2>
&lt;p>A &lt;a href="https://www.nature.com/articles/s41558-026-02785-9">Nature Climate Change paper&lt;/a> borrows value at risk from finance. It defines carbon at risk (CaR) as the probabilistic shortfall between contracted removals and realised storage at a chosen confidence level and time horizon. For forests, Monte Carlo runs driven by satellite fire data give a single-project 95% CaR above 70% over 200 years in California. For geological storage, the Storage Security Calculator gives 0.15% for well-regulated offshore sites and 17% for poorly regulated onshore ones. The authors say buffer pools are currently sized by convention, and they show that portfolios can manage tail risk cost-effectively. They also concede that early applications rest on assumptions until the underlying distributions can be estimated from observed data. My verdict: the metric is the right tool for buffer sizing and insurance pricing, but these figures are proof of concept, not ratings.&lt;/p></description></item></channel></rss>