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	<id>https://strike.scec.org/scecwiki/index.php?action=history&amp;feed=atom&amp;title=CyberShake_UCERF2_ERF</id>
	<title>CyberShake UCERF2 ERF - Revision history</title>
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	<updated>2026-05-04T14:54:54Z</updated>
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		<id>https://strike.scec.org/scecwiki/index.php?title=CyberShake_UCERF2_ERF&amp;diff=30612&amp;oldid=prev</id>
		<title>Scottcal: Created page with &quot;All CyberShake studies through Study 24.8 utilize an earthquake rupture forecast (ERF) derived from UCERF2.  Some details about the construction of this ERF for CyberShake are...&quot;</title>
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		<updated>2026-01-09T06:30:42Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;All CyberShake studies through Study 24.8 utilize an earthquake rupture forecast (ERF) derived from UCERF2.  Some details about the construction of this ERF for CyberShake are...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;All CyberShake studies through Study 24.8 utilize an earthquake rupture forecast (ERF) derived from UCERF2.  Some details about the construction of this ERF for CyberShake are described below.&lt;br /&gt;
&lt;br /&gt;
== Event Types ==&lt;br /&gt;
&lt;br /&gt;
There are three types of events given by the UCERF2 ERF: regular, median, and aleatory.&lt;br /&gt;
&lt;br /&gt;
=== Regular ===&lt;br /&gt;
Regular events represent floating sources in UCERF2, about 85% of all events in CyberShake. &lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt; Compute target Magnitude Frequency Distribution (MFD) for each source as a Gutenberg-Richter (G-R) distribution up to maximum magnitude determined by two Mw-Area scaling relationships (Ellsworth-B; Hanks and Bakun, 2007). The G-R b-value depends on the fault type: b=0 for type A faults (e.g., the San Andreas), and the average of G-R distributions with b=0 and b=0.8 are used for type B faults. Then average the MFD from the two scaling relationships, which is discretized in 0.1 magnitude bins (i.e., UCERF2 magnitude) to determine the final source MFD.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt; Extend the down-dip width (DDW) of the fault to match the Somerville (2006) area for a full-fault rupture at the maximum magnitude. (CyberShake-only, not done for standard UCERF2)&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt; For each magnitude bin, compute the rupture area with Somerville 2006 (or, for standard UCERF2, Hanks and Bakun, 2007).&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt; Build N floating ruptures with that area.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt; Set rate of each rupture to G-R rate for magnitude divided by N (equal weight to each rupture for that magnitude bin).&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Median ===&lt;br /&gt;
Median events represent the characteristic sources in UCERF2, whose rupture areas are modified to match the Somerville (2006) scaling relationship, which represent ~2% of events in CyberShake. &lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;For each branch on UCERF2 logic tree (Ellsworth-B; Hanks and Bakun, 2007), compute median magnitude from area with given scaling relationship, discretized into 0.1 magnitude bins (i.e., UCERF2 magnitude)&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;For each source:&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;compute implied area from Somerville 2006 from UCERF2 magnitude&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;compute DDW correction factor as ratio of implied area to original UCERF2 (U2) area, intended to be: ddwCorrFactor = som06Area / origU2Area&amp;lt;br&amp;gt;&lt;br /&gt;
Note that there is a bug in the UCERF2 implementation such that ddwCorrFactor = som06Area / ellBArea (rather than origU2Area). This resulted in a constant ddwCorrFactor = 1.65959 for characteristic sources (this bug does not affect floating regular sources).&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;extend DDW such that the new rupture area equals the implied Somerville 2006 area: newDDW = origDDW * ddwCorrFactor (to the nearest integer)&amp;lt;br&amp;gt;&lt;br /&gt;
Note: what this does, holding magnitude constant, is extend the area such that if you were to use Somerville 2006 to compute magnitude it would equal the input UCERF2 magnitude.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Aleatory ===&lt;br /&gt;
Aleatory events have the same rupture areas of Median events, but with varying magnitudes to capture the variations in magnitude-area relationship, which represent ~13% of events in CyberShake.&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;For each Median source, compute the total moment rate&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;compute moment balanced Gaussian aleatory magnitude distribution with sigma=0.12, two sided truncation at 2 sigma&amp;lt;br&amp;gt;&lt;br /&gt;
Note: this means that the resultant moment rate from this distribution will equal the moment rate from Median (1)&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Compute magnitude discretized in 0.1 magnitude bins&amp;lt;br&amp;gt;&lt;br /&gt;
Note: the largest magnitudes in CyberShake are aleatory events that have very large stress drops, which can lead to very high seismic hazard at long return periods.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;b&amp;gt;Summary: Both Regular and Median types follow the Somerville 2006 scaling relationship, hence have the same estimated stress drop values. Aleatory events, on the other hand, have a large range of stress drop values.&amp;lt;/b&amp;gt;&lt;/div&gt;</summary>
		<author><name>Scottcal</name></author>
		
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