Changes between Version 2 and Version 3 of UCERF3 ERFs


Ignore:
Timestamp:
Apr 22, 2014, 4:24:56 PM (10 years ago)
Author:
Kevin Milner
Comment:

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  • UCERF3 ERFs

    v2 v3  
    2525
    2626This ERF allows you to select a single logic tree branch from the 1440 time independent UCERF3 logic tree branches for calculations. It will download the full UCERF3 compound fault system solution which contains results from each individual logic tree branch (described [wiki:FaultSystemSolution#CompoundFaultSystemSolutionFiles here], can be downloaded [http://opensha.usc.edu/ftp/ucerf3_erf/full_ucerf3_compound_sol.zip here]). This can take some time (as it is an 810 MB file), so the file is cached in "~/.opensha/ucerf3_erf" where "~/" is the users home directory. This location can be changed by setting the "uc3.store" property at runtime.
     27
     28== MeanUCERF3 ERF ==
     29
     30Class name: scratch.UCERF3.erf.mean.MeanUCERF3
     31
     32This is a full "true mean" fault system solution. It is similar to the branch averaged fault system solution described above, but instead uses duplicate versions of each rupture whenever a key property (rake, magnitude, area) changes. This retains all variability allowing for quick reproduction of mean UCERF3 results with a minimum set of ruptures. It also allows for the user to, optionally, apply certain approximations to reduce the rupture count (and thus hazard curve compute time) at the expense of accuracy. These approximations are described below:
     33
     34=== Upper Depth Tolerance ===
     35
     36Some sections have varying upper depths on different branches due to variable aseismicity values. This parameter combines upper depths within the given tolerance to reduce the subsection (and thus rupture) count. The "Use Mean Upper Depth" parameter allows you to use the average upper depth (default uses the shallower depth).
     37
     38'''Note with time dependence:''' Time dependent UCERF3 is incompatible certain settings of this parameter. It must be set sufficiently high (e.g. 10 km) in order to prevent multiple instances of a subsection (and thus incorrect recurrence intervals).