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- Approach one: The number of realisations for a given fault is prescribed (as done in Step 2: Determine the number of simulation jobs for a given fault), and the hypocentre location is determine using MonteCarlo randomisation. One slip realisation is generated for a given hypocentre. The format of the input file will be:
fault_name num_realizations"r"
note: the "r" key letter is concatenated to the number of realizations. Here is an example for CS18.6: fault_selection_c18p6_for_SRF.txt
note: We implemented different approaches to created srf realizations (e.g., fixed number of hypocentres, length and width-wise distances between hypocentres ). The “r” option referred to “random”/ Monte Carlo approach for place hypocentre, hence the “r” letter tells the code that the hypocentre is placed randomly along the strike and depth - Approach two: specify the number of hypocenter along the strike and and the number of slip realisations for each hypocentre. The hypocentre is sampled along the strike at the constant depth of 0.6*(down_dip_width). The input file will have this format:
fault_name num_hypo_along_strike num_slip_realizations_per_hyp Approach three: specify the distance interval between hypocentres along the strike at the constant depth of 0.6*(down_dip_width). The minimum number of three realisations will be generated. The input file will have this format:
See nhm2srf.pyparameter descriptions for further info on possible input
fault_name hypo_dist_along_strike num_slip_realizations_per_hyp
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