RSQSim catalogues for the Monte Vettore Fault System (Central Italy)

Description This repository stores the simulated RSQSim earthquake catalogues shown and discussed in the preprint "Coseismic Surface Rupture Probabilities from Earthquake Cycle Simulations: Influence of Fault Geometry". We provide twelve folders, one for each RSQSim catalogue computed in the article. Each folder contains all input and output files from the RSQSim calculations, including the fault model, input parameter file and resulting catalogue files. The folder names indicate the fault geometric model considered for that catalogue (see article for details). The files contained are: A. Inputs paramfile.in: List of input parameter variables required for the RSQSim calculation and calls to the fault model where the simulations will be computed. Nodes_RSQSim_300.flt: Fault model in a text-based ascii file. Each line of the file corresponds to the info of one element of the triangular mesh that composesthe fault: X,Y,Z of the triangle nodes, fault rake (in degrees), fault slip rate (in m/s) and fault segment and fault IDs (i.e., the fault or segment where that element belongs). neighbors_300.dat: Text-based ascii file that groups the eight neighboring fault elements to each fault element. The grouping is done by their element ID - i.e., number of row in the fault model. B. Outputs eqs.italy.out: Simulated earthquake catalogue in a text-based ascii file. The file stores data for each simulated earthquake including X, Y, Z of the hypocenter, time in the catalogue (in seconds) magnitude (Mw), seismic moment, rupture area and stress drop. At the beginning of the file, the info of all input files described above is also stored. binary files: These files contain detailed information of each patch during every earthquake in the simulated catalogue, including patches activated during an event (italy.pList), their slip (italy.dList), stress drop (italy.dtauList), time of rupture (italy.tList), and the event ID - i.e., number of row in the catalogue file -  that they belong to (italy.eList), among others. Funding statement This research work was funded by the European Commission – NextGenerationEU, through Momentum CSIC Programme: Develop Your Digital Talent (project GDxGT; ref. MMT24-IGME-02), and by the TREAD project (daTa and pRocesses in sEismic hAzarD), funded by the European Union under the programme Horizon Europe: Marie Skłodowska-Curie Actions (MSCA) with grant agreement no. 101072699. Octavi Gómez-Novell is staff hired under the Generation D initiative, promoted by Red.es, an organisation attached to the Ministry for Digital Transformation and the Civil Service, for the attraction and retention of talent through grants and training contracts, financed by the Recovery, Transformation and Resilience Plan through the European Union's Next Generation funds.