Selected publications

Note: PDF reprints are provided below within the context of fair use. Please obtain copies from the publisher if appropriate.

2024

• J. Straubhaar, P. Renard (2024) Exploring substitution random functions composed of stationary multi-Gaussian processes. Stochastic Environmental Research and Risk Assessment,
  doi:10.1007/s00477-024-02662-x

2023

• P. Juda, J. Straubhaar, P. Renard (2023) Comparison of three recent discrete stochastic inversion methods and influence of the prior choice. Comptes Rendus. Géoscience,
  doi:10.5802/crgeos.160

2022

• P. Juda, P. Renard, J. Straubhaar (2022) A parsimonious parametrization of the Direct Sampling algorithm for multiple-point statistical simulations. Applied Computing and Geosciences,
  doi:10.1016/j.acags.2022.100091

• L. Schorpp, J. Straubhaar, P. Renard (2022) Automated hierarchical 3D modeling of quaternary aquifers: The ArchPy approach. Frontiers in Earth Science,
  doi:10.3389/feart.2022.884075

2021

• A. Neven, V. Dall'Alba, P. Juda, J. Straubhaar, P. Renard (2021) Ice volume and basal topography estimation using geostatistical methods and ground-penetrating radar measurements: Application to the Tsanfleuron and Scex Rouge glaciers, Swiss Alps. The Cryosphere,
  doi:10.5194/tc-15-5169-2021

• M. Sharifzadeh Lari, J. Straubhaar, P. Renard (2021) Efficiency of template matching methods for Multiple-Point Statistics simulations. Applied Computing and Geosciences,
  doi:10.1016/j.acags.2021.100064

• J. Straubhaar, P. Renard (2021) Conditioning Multiple-Point Statistics Simulation to Inequality Data. Earth and Space Science,
  doi:10.1029/2020EA001515

2020

• V. Dall'Alba, P. Renard, J. Straubhaar, B. Issautier, C. Duvail, Y. Caballero (2020) 3D multiple-point statistics simulations of the Roussillon Continental Pliocene aquifer using DeeSse. Hydrology and Earth System Sciences,
  doi:10.5194/hess-24-4997-2020

• P. Juda, P. Renard, J. Straubhaar (2020) A framework for the cross-validation of categorical geostatistical simulations. Earth and Space Science,
  doi:10.1029/2020EA001152

• J. Jiménez-Martínez and A. Alcolea, J. Straubhaar, P. Renard (2020) Impact of phases distribution on mixing and reactions in unsaturated porous media. Advances in Water Resources,
  doi:10.1016/j.advwatres.2020.103697

• D.-T. Lam, P. Renard, J. Straubhaar, J. Kerrou (2020) Multi-resolution approach to condition categorical multiple-point realizations to dynamic data with iterative ensemble smoothing. Water Resources Research,
  doi:10.1029/2019WR025875

• J. Straubhaar, P. Renard, T. Chugunova (2020) Multiple-point statistics using multi-resolution images. Stochastic Environmental Research and Risk Assessment,
  doi:10.1007/s00477-020-01770-8

2019

• P.-O. Bruna, J. Straubhaar, R. Prabhakaran, G. Bertotti, K. Bisdom, G. Mariethoz, M. Meda (2019) A new methodology to train fracture network simulation using multiple-point statistics. Solid Earth 10(2), 537-559,
  doi:10.5194/se-10-537-2019

• Y. Dagasan, O. Erten, P. Renard, J. Straubhaar, E. Topal (2019) Multiple-point statistical simulation of the ore boundaries for a lateritic bauxite deposit. Stochastic Environmental Research and Risk Assessment 33(3), 865-878,
  doi:10.1007/s00477-019-01660-8

• Y. Dagasan, P. Renard, J. Straubhaar, O. Erten, E. Topal (2019) Pilot point optimization of mining boundaries for lateritic metal deposits: finding the trade-off between dilution and ore loss. Natural Resources Research 28(1), 153-171,
  doi:10.1007/s11053-018-9380-9

• J. Straubhaar, P. Renard, G. Mariethoz, T. Chugunova, P. Biver (2019) Fast and interactive editing tools for spatial models. Mathematical Geosciences 51(1), 109-125,
  doi:10.1007/s11004-018-9766-6

2018

• C. Jäggli, J. Straubhaar, P. Renard (2018) Parallelized adaptive importance sampling for solving inverse problems. Frontiers in Earth Science 6, 203,
  doi:10.3389/feart.2018.00203

• A.A.S. Barfod, T. N. Vilhelmsen, F. Jørgensen, A. V. Christiansen, A.-S. Høyer, J. Straubhaar, I. Møller (2018) Contributions to uncertainty related to hydrostratigraphic modeling using multiple-point statistics. Hydrology and Earth System Sciences 22(10), 5485-5508,
  doi:10.5194/hess-22-5485-2018

• A.A.S. Barfod, I. Møller, A.V. Christiansen, A.-S. Hoyer, J. Hoffimann, J. Straubhaar, J. Caers (2018) Hydrostratigraphic modeling using multiple-point statistics and airborne transient electromagnetic methods. Hydrology and Earth System Sciences 22(6), 3351-3373,
  doi:10.5194/hess-22-3351-2018

• Y. Dagasan, P. Renard, J. Straubhaar, O. Erten, E. Topal (2018) Automatic parameter tuning of multiple-point statistical simulations for lateritic bauxite deposits. Minerals 8(5),
  doi:10.3390/min8050220

• F. Oriani, R. Mehrotra, G. Mariethoz, J. Straubhaar, A. Sharma, P. Renard (2018) Simulating rainfall time-series: how to account for statistical variability at multiple scales?. Stochastic Environmental Research and Risk Assessment 32(2), 321-340,
  doi:10.1007/s00477-017-1414-z

2017

• F. Oriani, N. Ohana-Levi, F. Marra, J. Straubhaar, G. Mariethoz, P. Renard, A. Karnieli, E. Morin (2017) Simulating small-scale rainfall fields conditioned by weather state and elevation: a data-driven approach based on rainfall radar images. Water Resources Research 53(10), 8512-8532,
  doi:10.1002/2017WR020876

• C. Jäggli, J. Straubhaar, P. Renard (2017) Posterior population expansion for solving inverse problems. Water Resources Research 53(4), 2902-2916,
  doi:10.1002/2016WR019550

2016

• F. Oriani, A. Borghi, J. Straubhaar, G. Mariethoz, P. Renard (2016) Missing data simulation inside flow rate time-series using multiple-point statistics. Environmental Modelling & Software 86, 264-276,
  doi:10.1016/j.envsoft.2016.10.002

• G. Rongier, P. Collon, P. Renard, J. Straubhaar, J. Sausse (2016) Comparing connected structures in ensemble of random fields. Advances in Water Resources 96, 145-169,
  doi:10.1016/j.advwatres.2016.07.008

• J. Straubhaar, P. Renard, G. Mariethoz (2016) Conditioning multiple-point statistics simulations to block data. Spatial Statistics 16, 53-71,
  doi:10.1016/j.spasta.2016.02.005

2015

• G. Pirot, J. Straubhaar, P. Renard (2015) A pseudo genetic model of coarse braided-river deposits. Water Resources Research 51(12), 9595-9611,
  doi:10.1002/2015WR017078

• G. Pirot, P. Renard, E. Huber, J. Straubhaar, P. Huggenberger (2015) Influence of conceptual Model uncertainty on contaminant transport forecasting in braided river aquifers. Journal of Hydrology 531(1,SI), 124-141,
  doi:10.1016/j.jhydrol.2015.07.036

• G. Mariethoz, J. Straubhaar, P. Renard, T. Chugunova, P. Biver (2015) Constraining distance-based multipoint simulations to proportions and trends. Environmental Modelling & Software 72, 184-197,
  doi:10.1016/j.envsoft.2015.07.007

• N. Dickson, J.-C. Comte, P. Renard, J. Straubhaar, J. McKinley, U. Ofterdinger (2015) Integrating aerial geophysical data in multiple-point statistics simulations to assist groundwater flow models. Hydrogeology Journal 23(5), 883-900,
  doi:10.1007/s10040-015-1258-x

2014

• T. Lochbühler, G. Pirot, J. Straubhaar, N. Linde (2014) Conditioning of multiple-point statistics facies simulations to tomographic images. Mathematical Geosciences 46(5), 625-645,
  doi:10.1007/s11004-013-9484-z

• G. Pirot, J. Straubhaar, P. Renard (2014) Simulation of braided river elevation model time series with multiple-point statistics. Geomorphology 214, 148-156,
  doi:10.1016/j.geomorph.2014.01.022

• J. Straubhaar, D. Malinverni (2014) Addressing conditioning data in multiple-point statistics simulation algorithms based on a multiple grid approach. Mathematical Geosciences 46(2), 187-204,
  doi:10.1007/s11004-013-9479-9

• F. Oriani, J. Straubhaar, P. Renard, G. Mariethoz (2014) Simulation of rainfall time series from different climatic regions using the direct sampling technique. Hydrology and Earth System Sciences 18, 3015-3031,
  doi:10.5194/hess-18-3015-2014

2013

• E. Meerschman, G. Pirot, G. Mariethoz, J. Straubhaar, M. Van Meirvenne, P. Renard (2013) A practical guide to performing multiple-point statistical simulations with the Direct Sampling algorithm. Computers & Geosciences 52, 307-324,
  doi:10.1016/j.cageo.2012.09.019

• J. Straubhaar, A. Walgenwitz, P. Renard (2013) Parallel Multiple-point Statistics Algorithm Based on List and Tree Structures. Mathematical Geosciences 45(2), 131-147,
  doi:10.1007/s11004-012-9437-y

2012

• A. Comunian, P. Renard, J. Straubhaar (2012) 3D multiple-point statistics simulation using 2D training images. Computers & Geosciences 40, 49-65,
  doi:10.1016/j.cageo.2011.07.009

• O. Besson, J. Straubhaar (2012) Wind driven 3D Navier-Stokes circulation in the Atlantic.
  arXiv:1207.0486 [math.NA]

2011

• P. Renard, J. Straubhaar, J. Caers, G. Mariethoz (2011) Conditioning Facies Simulations with Connectivity Data. Mathematical Geosciences 43(8), 879-903,
  doi:10.1007/s11004-011-9363-4

• G. Mariethoz, P. Renard, J. Straubhaar (2011) Extrapolating the Fractal Characteristics of an Image Using Scale-Invariant Multiple-Point Statistics. Mathematical Geosciences 43(7), 783-797,
  doi:10.1007/s11004-011-9362-5

• A. Comunian, P. Renard, J. Straubhaar, P. Bayer (2011) Three-dimensional high resolution fluvio-glacial aquifer analog: Part 2: geostatistical modeling. Journal of Hydrology 405(1-2), 10-23,
  doi:10.1016/j.jhydrol.2011.03.037

• J. Straubhaar, P. Renard, G. Mariethoz, R. Froidevaux, O. Besson (2011) An Improved Parallel Multiple-Point Algorithm Using a List Approach. Mathematical Geosciences 43(3), 305-328,
  doi:10.1007/s11004-011-9328-7

2010

• G. Mariethoz, P. Renard, J. Straubhaar (2010) The Direct Sampling method to perform multiple-point geostatistical simulation. Water Resources Research 46, W11536,
  doi:10.1029/2008WR007621

2008

• J. Straubhaar (2008) Parallel preconditioners for the conjugate gradient algorithm using Gram-Schmidt and least squares methods. Parallel Computing 34(10), 551-569,
  doi:10.1016/j.parco.2008.06.001

2007

• J. Straubhaar (2007) Preconditioners for the conjugate gradient algorithm using Gram-Schmidt and least squares methods. International Journal of Computer Mathematics 84(1), 89-108,
  doi:10.1080/00207160601173621