Articles | Volume 11, issue 7
https://doi.org/10.5194/gmd-11-3071-2018
https://doi.org/10.5194/gmd-11-3071-2018
Methods for assessment of models
 | 
31 Jul 2018
Methods for assessment of models |  | 31 Jul 2018

Bayesian inference of earthquake rupture models using polynomial chaos expansion

Hugo Cruz-Jiménez, Guotu Li, Paul Martin Mai, Ibrahim Hoteit, and Omar M. Knio

Related authors

Evaluation of operational ocean forecasting systems from the perspective of the users and the experts
Stefania A. Ciliberti, Enrique Alvarez Fanjul, Jay Pearlman, Kirsten Wilmer-Becker, Pierre Bahurel, Fabrice Ardhuin, Alain Arnaud, Mike Bell, Segolene Berthou, Laurent Bertino, Arthur Capet, Eric Chassignet, Stefano Ciavatta, Mauro Cirano, Emanuela Clementi, Gianpiero Cossarini, Gianpaolo Coro, Stuart Corney, Fraser Davidson, Marie Drevillon, Yann Drillet, Renaud Dussurget, Ghada El Serafy, Katja Fennel, Marcos Garcia Sotillo, Patrick Heimbach, Fabrice Hernandez, Patrick Hogan, Ibrahim Hoteit, Sudheer Joseph, Simon Josey, Pierre-Yves Le Traon, Simone Libralato, Marco Mancini, Pascal Matte, Angelique Melet, Yasumasa Miyazawa, Andrew M. Moore, Antonio Novellino, Andrew Porter, Heather Regan, Laia Romero, Andreas Schiller, John Siddorn, Joanna Staneva, Cecile Thomas-Courcoux, Marina Tonani, Jose Maria Garcia-Valdecasas, Jennifer Veitch, Karina von Schuckmann, Liying Wan, John Wilkin, and Romane Zufic
State Planet, 1-osr7, 2, https://doi.org/10.5194/sp-1-osr7-2-2023,https://doi.org/10.5194/sp-1-osr7-2-2023, 2023
Waves in SKRIPS: WAVEWATCH III coupling implementation and a case study of Tropical Cyclone Mekunu
Rui Sun, Alison Cobb, Ana B. Villas Bôas, Sabique Langodan, Aneesh C. Subramanian, Matthew R. Mazloff, Bruce D. Cornuelle, Arthur J. Miller, Raju Pathak, and Ibrahim Hoteit
Geosci. Model Dev., 16, 3435–3458, https://doi.org/10.5194/gmd-16-3435-2023,https://doi.org/10.5194/gmd-16-3435-2023, 2023
Short summary
Space-time landslide hazard modeling via Ensemble Neural Networks
Ashok Dahal, Hakan Tanyas, Cees van Westen, Mark van der Meijde, Paul Martin Mai, Raphaël Huser, and Luigi Lombardo
EGUsphere, https://doi.org/10.31223/X5B075,https://doi.org/10.31223/X5B075, 2023
Short summary
INTRA-FIELD CROP YIELD VARIABILITY BY ASSIMILATING CUBESAT LAI IN THE APSIM CROP MODEL
M. G. Ziliani, M. U. Altaf, B. Aragon, R. Houborg, T. E. Franz, Y. Lu, J. Sheffield, I. Hoteit, and M. F. McCabe
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 1045–1052, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1045-2022,https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1045-2022, 2022
Mapping groundwater abstractions from irrigated agriculture: big data, inverse modeling, and a satellite–model fusion approach
Oliver Miguel López Valencia, Kasper Johansen, Bruno José Luis Aragón Solorio, Ting Li, Rasmus Houborg, Yoann Malbeteau, Samer AlMashharawi, Muhammad Umer Altaf, Essam Mohammed Fallatah, Hari Prasad Dasari, Ibrahim Hoteit, and Matthew Francis McCabe
Hydrol. Earth Syst. Sci., 24, 5251–5277, https://doi.org/10.5194/hess-24-5251-2020,https://doi.org/10.5194/hess-24-5251-2020, 2020
Short summary

Related subject area

Solid Earth
AdaHRBF v1.0: gradient-adaptive Hermite–Birkhoff radial basis function interpolants for three-dimensional stratigraphic implicit modeling
Baoyi Zhang, Linze Du, Umair Khan, Yongqiang Tong, Lifang Wang, and Hao Deng
Geosci. Model Dev., 16, 3651–3674, https://doi.org/10.5194/gmd-16-3651-2023,https://doi.org/10.5194/gmd-16-3651-2023, 2023
Short summary
PySubdiv 1.0: open-source geological modeling and reconstruction by non-manifold subdivision surfaces
Mohammad Moulaeifard, Simon Bernard, and Florian Wellmann
Geosci. Model Dev., 16, 3565–3579, https://doi.org/10.5194/gmd-16-3565-2023,https://doi.org/10.5194/gmd-16-3565-2023, 2023
Short summary
Reconstructing tephra fall deposits via ensemble-based data assimilation techniques
Leonardo Mingari, Antonio Costa, Giovanni Macedonio, and Arnau Folch
Geosci. Model Dev., 16, 3459–3478, https://doi.org/10.5194/gmd-16-3459-2023,https://doi.org/10.5194/gmd-16-3459-2023, 2023
Short summary
IMEX_SfloW2D v2: a depth-averaged numerical flow model for volcanic gas-particle flows over complex topographies and water
Mattia de' Michieli Vitturi, Tomaso Esposti Ongaro, and Samantha Engwell
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-80,https://doi.org/10.5194/gmd-2023-80, 2023
Revised manuscript accepted for GMD
Short summary
ClinoformNet-1.0: stratigraphic forward modeling and deep learning for seismic clinoform delineation
Hui Gao, Xinming Wu, Jinyu Zhang, Xiaoming Sun, and Zhengfa Bi
Geosci. Model Dev., 16, 2495–2513, https://doi.org/10.5194/gmd-16-2495-2023,https://doi.org/10.5194/gmd-16-2495-2023, 2023
Short summary

Cited articles

Abrahamson, N. A., Silva, W. J., and Kamai, R.: Summary of the ASK14 ground motion relation for active crustal regions, Earthq. Spectra, 30, 1025–1055, 2014.
Alexanderian, A., Winokur, J., Sraj, I., Srinivasan, A., Iskandarani, M., Thacker, W. C., and Knio, O. M.: Global sensitivity analysis in an ocean general circulation model: a sparse spectral projection approach, Comput. Geosci., 16, 757–778, 2012.
Arroyo, D. and Ordaz, M.: Multivariate Bayesian regression analysis applied to ground-motion prediction equations, part 1: theory and synthetic example, B. Seismol. Soc. Am., 100, 1551–1567, 2010a.
Arroyo, D. and Ordaz, M.: Multivariate Bayesian regression analysis applied to ground-motion prediction equations, Part 2: Numerical example with actual data, B. Seismol. Soc. Am., 100, 1568–1577, 2010b.
Atkinson, G. M. and Boore, D. M.: Modifications to existing ground-motion prediction equations in light of new data, B. Seismol. Soc. Am., 101, 1121–1135, 2011.
Download
Short summary
One of the most important challenges seismologists and earthquake engineers face is reliably estimating ground motion in an area prone to large damaging earthquakes. This study aimed at better understanding the relationship between characteristics of geological faults (e.g., hypocenter location, rupture size/location, etc.) and resulting ground motion, via statistical analysis of a rupture simulation model. This study provides important insight on ground-motion responses to geological faults.