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Jef Caers

Affiliations: 
Stanford University, Palo Alto, CA 
Area:
Radiation Physics, Geophysics
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Parents

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Andre G. Journel post-doc 1997-1999 Stanford

Children

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Guven B. Arpat grad student 2005 Stanford
B. T. Hoffman grad student 2005 Stanford
Omer I. Tureyen grad student 2005 Stanford
Joe Voelker grad student 2005 Stanford
Scarlet A. Castro grad student 2007 Stanford
Satomi Suzuki grad student 2007 Stanford
Grégoire Mariethoz post-doc 2009-2010 Stanford

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Publications

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Yin Z, Strebelle S, Caers J. (2020) Automated Monte Carlo-based quantification and updating of geological uncertainty with borehole data (AutoBEL v1.0) Geoscientific Model Development. 13: 651-672
Zuo C, Yin Z, Pan Z, et al. (2020) A Tree‐Based Direct Sampling Method for Stochastic Surface and Subsurface Hydrological Modeling Water Resources Research. 56
MacKie EJ, Schroeder DM, Caers J, et al. (2020) Antarctic Topographic Realizations and Geostatistical Modeling Used to Map Subglacial Lakes Journal of Geophysical Research. 125
Wang Z, Yin Z, Caers J, et al. (2020) A Monte Carlo-based framework for risk-return analysis in mineral prospectivity mapping Geoscience Frontiers
Park J, Caers J. (2020) Direct forecasting of global and spatial model parameters from dynamic data Computers & Geosciences. 143: 104567
Hoffimann J, Bufe A, Caers J. (2019) Morphodynamic Analysis and Statistical Synthesis of Geomorphic Data: Application to a Flume Experiment Journal of Geophysical Research. 124: 2561-2578
Yang L, Hyde D, Grujic O, et al. (2019) Assessing and visualizing uncertainty of 3D geological surfaces using level sets with stochastic motion Computers & Geosciences. 122: 54-67
Phelps G, Scheidt C, Caers J. (2018) Exploring viable geologic interpretations of gravity models using distance-based global sensitivity analysis and kernel methods Geophysics. 83
Gueting N, Caers J, Comunian A, et al. (2018) Reconstruction of Three-Dimensional Aquifer Heterogeneity from Two-Dimensional Geophysical Data Mathematical Geosciences. 50: 1-23
Hermans T, Nguyen F, Klepikova M, et al. (2018) Uncertainty Quantification of Medium‐Term Heat Storage From Short‐Term Geophysical Experiments Using Bayesian Evidential Learning Water Resources Research. 54: 2931-2948
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