Kinematic rupture on normal fault, incl GPS
Benchmark id: inv2a
wiki page: http://equake-rc.info/sivdb/wiki/Downloads
Kinematic rupture on ~45deg dipping normal fault; site distributions as inv1; static displacements (GPS) are provided
cedrict2
submitted by Cedric Twardzik
Kinematic inversion to obtain the rupture process using the elliptical sub-fault approximation. 1 Ellipse was used. Data and synthetics were band-pass filtered from 0.1 to 1.0 Hz using a Butterworth filter (4 poles, 2 passes). GPS data were not used. Algorithm for the inversion: Neighbourhood algorithm. Cost function: L2-norm.
NOTE (09/22/2014): Two errors have been found for that inversion. (1) Qp and Qs were evaluated from Brocher (2008) instead of being assumed infinite. (2) The range given for the hypocentre depth in the inversion did not include the actual hypocentral depth used for the SIV model.
+ expand
cedrict3
submitted by Cedric Twardzik
Kinematic inversion to obtain the rupture process using the elliptical sub-fault approximation. 2 Ellipse was used. Data and synthetics were band-pass filtered from 0.1 to 1.0 Hz using a Butterworth filter (4 poles, 2 passes). GPS data were not used. Algorithm for the inversion: Neighbourhood algorithm. Cost function: L2-norm.
NOTE (09/22/2014): Same as inv2a.cedrict with the two errors fixed.
+ expand
cedrict
submitted by Cedric Twardzik
Kinematic inversion to obtain the rupture process using the elliptical sub-fault approximation. 2 Ellipses were used. Data and synthetics were band-pass filtered from 0.1 to 1.0 Hz using a Butterworth filter (4 poles, 2 passes). GPS data were not used. Algorithm for the inversion: Neighbourhood algorithm. Cost function: L2-norm.
NOTE (09/22/2014): Two errors have been found for that inversion. (1) Qp and Qs were evaluated from Brocher (2008) instead of being assumed infinite. (2) The range given for the hypocentre depth in the inversion did not include the actual hypocentral depth used for the SIV model.
+ expand
gallovic01
submitted by Frantisek Gallovic
Linear multi time-window with k^-2 smoothing and non-negativity constraint (Gallovic et al., 2015), smoothing=0.1
Butterworth filter (one way, 4 poles, bandpass .05-.5Hz).
Strike, dip, rake: 90., 40., 240.
+ expand
gallovic001
submitted by Frantisek Gallovic
Linear multi time-window with k^-2 smoothing and non-negativity constraint (Gallovic et al., 2015), smoothing=0.01
Butterworth filter (one way, 4 poles, bandpass .05-.5Hz).
Strike, dip, rake: 90., 40., 240.
+ expand
asano
submitted by Kimiyuki Asano
Multi-time window linear inversion with spatiotemporal smoothing constraint. Weight of smoothing is determined by minimizing ABIC. GPS data is not used. Inversion is done in the frequency range 0.05-1Hz.
+ expand
ids
submitted by Rongjiang Wang
Direct source imaging using the IDS (Iterative Deconvolution and Stacking) technique, without any adjustment on parameters for physical (empirical) constraints. Fault location, focal mechanism and hypocenter are adopted from the general information. GPS data are not used.
+ expand