Gregoire Mariethoz

Academic Experience

  • 08.2018 – present: Professor (full), Institute of Earth Surface Dynamics, University of Lausanne, Switzerland.
  • 10.2014 – 07.2018: Professor Assistant, Institute of Earth Surface Dynamics, University of Lausanne, Switzerland.
  • 07.2014 – 10.2014: Senior Scientist, Department of Earth Sciences, ETH Zürich, Switzerland.
  • 07.2011 – 06.2014: Senior Lecturer, School of Civil and Environmental Engineering, University of New South Wales, Sydney, Australia.
  • 10.2010 – 06.2011: Research Fellow, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, Australia.
  • 10.2009 – 09.2010: Postdoctoral researcher, Energy Resources Engineering department, Stanford University, USA.
  • 10.2006 – 08.2009: PhD student and research assistant, Centre of Hydrogeology, University of Neuchâtel, Switzerland.

Professional service

Educational Background

  • 2006 – 2009: Ph.D. Hydrogeology, University of Neuchatel, Switzerland.
    Thesis title: Geological stochastic imaging for aquifer characterization (pdf).
  • 2004 – 2006: Postgraduate Hydrogeologist (equivalent MAS), University of Neuchatel, Switzerland.
  • 1998 – 2003: BSc + M.Sc. Anthropology, Geology and French, University of Neuchatel, Switzerland.

Awards and honors

  • 2018: Distinguished Lecturer of the International Association for Mathematical Geosciences for year 2018.
  • 2012-2016: Keynote presentations at 6 international conferences.
  • 2013: Vistelius Research Award, International Association for Mathematical Geosciences.
  • 2012: Featured researcher, National Centre for Groundwater Research and Training.
  • 2011: Best Paper Award, 1st Conference on Spatial Statistics 2011, Enschede, The Netherlands.
  • 2008: Swiss National Science Foundation, Young Researcher Fellowship.
  • 2006: Postgraduate hydrogeologist, head of the list.
  • 2003: M.Sc. Graduated with distinction.

Research projects

  • 2022-2026: Deep-time synthetic data cubes to enable long-term hydrological modelling. CHF 501’327. Swiss National Science Foundation (200021_204130). Division II project. Main applicant.
  • 2021-2025: Improved climate projections by considering locally variable performance in the combination of global circulation models. CHF 277’164. Swiss National Science Foundation (200021_200337). Division II project. Main applicant.
  • 2021: LABEAU IRRIGATION – Mise en place d’un laboratoire de monitoring de l’irrigation de montagne à l’échelle régionale, CHF 35’000, Interdisciplinary Centre for Mountain Research (CIRM) project. Co-applicant.
  • 2020: Cave records of fire, hydrology and climate, CHF 14’400. Herbette Foundation grant. Main applicant.
  • 2017: A state of the art UAV system for hyperspectral, thermal and LIDAR mapping. CHF 100’000. Swiss National Science Foundation (206021_170753). R’Equip project. Co-applicant.
  • 2016-2019: Extracting new information from old satellite imagery by using n->m colorization. CHF 193’918. Swiss National Science Foundation (200021_162882). Division II project. Main applicant.
  • 2016-2019: Integrating spatial predictions of vegetation, soils, geomorphology and hydrology for improved assessment of ecosystem services under climate change. CHF 752’644. Swiss National Science Foundation (CR23I2_162754). Interdisciplinary project. Co-applicant.
  • 2016: Herbette Foundation grant for inviting a visiting scholar to the University of Lausanne: Prof. Mohammad J. Abdollahifard, to work on topics of optimization-based approaches for interpolation and inverse problem. CHF 14’400. Main applicant.
  • 2015-2018: Fusing multiple sources of remote sensing data using textural information: high-resolution, high-frequency monitoring in alpine environments. CHF 200’408. Swiss National Science Foundation (200021_159756). Division II project. Main applicant.
  • 2013-2014: Data-Centric Groundwater Modelling. A$167’004. Project funded by NICTA (National Information and Communication Technology Australia). Main applicant.
  • 2012: University of New South Wales Equipment grant, The use of 3D printers for physical modeling of hydrological processes. AUD 32’000. Main applicant.
  • 2011: University of New South Wales Equipment grant, Upgrade of Water Research Laboratory well tank for study of aquifer heterogeneity. AUD 27’182. Main applicant.
  • 2011-2014: National Centre for Groundwater Research and Training (NCGRT), Australian Research Council (ARC). Chief investigator in Subprogram 1A: Linking Geological and Hydrogeological Processes. AUD 250’000.
  • 2011-2014: Swiss National Science Foundation (200021_134614/1). Division II project. Stochastic simulation of climatic data with the Direct Sampling method. CHF 169’680. Co-author of the proposal and partner investigator.
  • 2011-2013: Swiss National Science Foundation (CRSI22_132249/1). Sinergia project. Integrated methods for stochastic ensemble aquifer modeling (ENSEMBLE). CHF 926’184. Co-author of the proposal and partner investigator.
  • 2009-2010: Swiss National Science Foundation (PBNEP2-124334). Young researcher fellowship. Developing and applying a stochastic methodology for aquifer characterization. CHF 82’645, backed by a US$ 10’000 stipend from Stanford University. Author of the proposal and chief investigator.


  • 2018 – now: University of Lausanne: Introduction to Earth Systems Analysis. 6 hours of lectures and coordination, ~20 postgraduate students.
  • 2017 – now: University of Lausanne: Géographie: milieu, espace, territoire. 18 hours of lectures, 200+ undergraduate students.
  • 2017: University of Copenhagen: Introduction to the theory and practice of Multiple-Point Statistics, International PhD course (4 days intensive course).
  • 2015 – now: University of Lausanne: Remote Sensing of Earth Systems. 32 hours of lectures/year, ~30 postgraduate students.
  • 2015 – now: University of Lausanne: Télédétection / Remote Sensing. 84 hours of lectures/year, ~120 undergraduate students.
  • 2014: ETH Zürich: Hydrogeologie und Quartärgeologie. 14 hours of lecture, 30 undergraduate students.
  • 2014: King Abdullah University of Science and Technology: Crash-course on multiple-point geostatistics (one day).
  • 2012 – 2013: University of New South Wales: Surface Water Hydrology (CVEN9610). 48 hours of lecture/year, 40 postgraduate students. Main course coordinator.
  • 2011 – 2013: University of New South Wales: Water Resources Modeling (CVEN4501/CVEN9612). 32 hours of lecture/year, 40 postgraduate students. Main course coordinator.
  • 2012 – 2013: University of New South Wales: Water Resources Engineering (CVEN3501). 30 hours of lecture/year, 450 undergraduate students.
  • 2012 – 2013: University of New South Wales: Special topics in Civil and Environmental Engineering: Data Mining, inference and Prediction (CVEN9901). 12 hours of lecture/year, 10 doctoral students.
  • 2012 – 2013: University of New South Wales: Urban Hydrology and Stormwater Management (CVEN9611). 4 hours of lecture/year, 20 postgraduate students.
  • 2011: University of New South Wales: Geological modeling and geostatistics (GEOS9634). 20 hours of lecture, 20 postgraduate students.
  • 2011: University of New South Wales: Civil Engineering Practice (CVEN3031). 1 hour of lecture, 300 undergraduate students.
  • 2011 – 2012: University of New South Wales: Fundamentals of Geology – Introduction to Hydrogeology (GEOS1111, P. Lennox). 2 hours of lecture/yeas, 200 undergraduate students.
  • 2010: Stanford University: Geostatistics for Spatial Phenomena (GES240, A. Journel). 4 hours of lecture, 20 postgraduate students.
  • 2009: University of Neuchatel: Sedimentology, practical classes (A. Drijska). 4 hours, 20 undergraduate students.
  • 2007 – 2009: University of Neuchatel: Hydrogeology field trips. 1 week every year, 20-30 postgraduate students
  • 2007 – 2009: University of Neuchatel: Lectures and practical classes in reservoir modeling (P. Renard). 4 hours yearly, 20-30 postgraduate students.
  • 2007 – 2008: University of Neuchatel: Pumping tests, practical classes (P. Renard). 4 hours yearly, 20-30 postgraduate students.

Graduated PhD students

Iñigo Irarrázaval (2020, Ph.D University of Lausanne).
Moctar Dembele (2020, Ph.D University of Lausanne).
Harsh Beria (2020, Ph.D University of Lausanne, co-supervisor).
James Thornton (2020, Ph.D University of Neuchatel, co-supervisor).
Luiz Gustavo Rasera (2020, Ph.D University of Lausanne).
Mathieu Gravey (2020, Ph.D University of Lausanne).
Elisa Giaccone (2020, Ph.D University of Lausanne, co-supervisor).
Lionel Benoit (2020, Ph.D University of Lausanne).
Philipp Sommer (2020, Ph.D University of Lausanne, co-supervisor).
Juan Carlos Castilla-Rho (2018, Ph.D UNSW Australia).
Qiyu Chen (2018 Ph.D China University of Geosciences, co-supervisor).
Ehsan Baninajar (2016, Ph.D Tabriz University, co-supervisor).
Mohammad Mahadi Hasan (2016, Ph.D UNSW Australia, co-supervisor).
Li Xue (2016 Ph.D USTC China, co-supervisor).
Kashif Mahmud (2015, Ph.D UNSW Australia).
Fabio Oriani (2015, Ph.D University of Neuchatel, co-supervisor).
Cheolkyun Jeong (2014, Ph.D Stanford University, co-supervisor).

Editorial roles

  • 2019 – present: Associate editor for the journal Frontiers in Artificial Intelligence in Food, Agriculture and Water.
  • 2016 – 2019: Editor-in-Chief of the journal Computers & Geosciences.
  • 2019: Joint editor of a special issues of the journal Remote Sensing.
  • 2015 – present: Member of the Editorial Board of the journal Spatial Statistics.
  • 2013 – 2016: Associate editor for the journal Hydrogeology Journal.
  • 2014 – 2016: Associate editor for the journal Groundwater.
  • 2013 – 2014: Joint editor for two special issues of the journal Mathematical Geosciences.


Citation metrics:


  • Mariethoz G, Caers J, Multiple-Point Geostatistics: stochastic modeling with training images (2014), Wiley-Blackwell, 384 pages, ISBN: 978-1-118-66275-5 (

Published peer-reviewed papers

(note: # indicates work with G. Mariethoz as main supervisor/coordinator of the research project)


  • Levy S, Friedli L, Mariethoz G, Linde N (2024), Conditioning of multiple-point statistics simulations to indirect geophysical data, Computers & Geosciences 187: 105581, doi: 10.1016/j.cageo.2024.105581.
  • Zou W, Hu G, Wiersma P, Yin S, Xiao Y, Mariethoz G, Peleg N (2024), Multiple-point geostatistics-based spatial downscaling of heavy rainfall fields, Journal of Hydrology 632: 130899, doi: 10.1016/j.jhydrol.2024.130899.
  • Zhang C, Gravey M, Mariethoz G, Irving J (2024), Reconstruction of missing GPR data using multiple-point statistical simulation, IEEE Transactions on Geoscience and remote Sensing, 62: 5905017, doi: 10.1109/TGRS.2024.3353482.
  • Oriani F, Mariethoz G, Chevalier M, (2024), EUPollMap: The European atlas of contemporary pollen distribution maps derived from an integrated Kriging interpolation approach, Earth System Science Data 16, 731–742, doi: 10.5194/essd-16-731-2024.
  • #Zakeri F, Mariethoz G (2024), Synthesizing long-term satellite imagery consistent with climate data: application to daily snow cover, Remote Sensing of Environment, 300: 113877. doi: 10.1016/j.rse.2023.113877.


  • Cochard R, Gravey M, Rasera G, Mariethoz G, Kull C (2023), The nature of a ‘forest transition’ in Thừa Thiên Huế Province, Central Vietnam – a study of land cover changes over five decades, Land Use Policy, 134: 106887, doi: 10.1016/j.landusepol.2023.106887.
  • #Dembele M, Salvadore E, Zwart S, Ceperley N, Mariethoz G, Schaefli B (2023), Water Accounting under Climate Change in the Transboundary Volta River Basin with a Spatially Calibrated Hydrological Model, Journal of Hydrology, 626: 130092, doi:
  • #Gravey M, Mariethoz G (2023), AutoQS v1: Automatic parameterization of QuickSampling based on training images analysis, Geoscientific Model Development, 16: 5265–5279, doi: 10.5194/gmd-16-5265-2023.
  • Panchard T, Broennimann O, Gravey M, Mariethoz G, Guisan A (2023). Snow cover persistence as a useful predictor of alpine plant distributions, Journal of Biogeography, doi: 10.1111/jbi.14689.
  • Bai H, Yang M, Mariethoz G (2023). A fast two part direct sampling method based on interpolation, Computers & Geosciences, 175: 105335, doi: 10.1016/j.cageo.2023.105335.
  • Peleg N, Torelló-Sentelles H, Mariethoz G, Benoit L, Leitão J, Marra F (2023). Brief communication: the potential use of low-cost acoustic sensors to detect rainfall for short-term urban flood warnings, Natural Hazards and Earth System Sciences, 23, 1233–1240, doi: 10.5194/nhess-23-1233-2023.
  • #Hadjipetrou S, Mariethoz G, Kyriakidis P (2023), Gap-Filling Sentinel-1 Offshore Wind Speed Image Time Series using Multiple-Point Geostatistical Simulation and Reanalysis Data, Remote Sensing 2023, 15(2), 409, doi: 10.3390/rs15020409.


  • Many G, Escoffier N, Ferrari M, Jacquet P, Odermatt D, Mariethoz G, Perolo P, Perga M (2022), Long-term spatiotemporal variability of whitings in Lake Geneva from multispectral remote sensing and machine learning, Remote Sensing, 14(23), 6175, doi: 10.3390/rs14236175.
  • #Kayitesi N, Guzha A, Mariethoz G (2022), Impacts of Land Use Land Cover Change and Climate Change on River Hydro-morphology – A review of research studies in tropical regions, Journal of Hydrology, 615 (128702), doi: 10.1016/j.jhydrol.2022.128702.
  • Asrat A, Baker A, Duan W, Leng M, Boomer I, Akter R, Mariethoz G, Adler L, Jex C, Yadeta M, Wang L (2022), Stalagmite evidence for Early Holocene multidecadal hydroclimate variability in Ethiopia, Quaternary Research, doi: doi:10.1017/qua.2022.29.
  • #Rumpf S, Gravey M, Bronnimann O, Luoto M, Cianfrani C, Mariethoz G, Guisan A (2022), From white to green: Snow cover loss and increased vegetation productivity in the European Alps, Science 376: 1119-1122, doi: 10.1126/science.abn6697. (Note that while I am happy to publish in Science, I am against associating the reputation of a journal to the value of a single article – see
  • Thornton J, Therrien R, Mariethoz G, Linde N, Brunner, P (2022). Simulating fully-integrated hydrological dynamics in complex Alpine headwaters: potential and challenges, Water Resources Research, 58(4): e2020WR029390, doi: 10.1029/2020WR029390.
  • #Dembélé M, Vrac M, Ceperley N, Zwart S, Larsen J, Dadson S, Mariethoz G, Schaefli B (2022). Contrasting changes in hydrological processes of the Volta River basin under global warming. Hydrology and Earth System Sciences, 26:1481-1506, doi: 10.5194/hess-26-1481-2022.
  • Thao S, Garvik M, Mariethoz G, Vrac M (2022). Combining global climate models using graph cuts. Climate Dynamics, doi: 10.1007/s00382-022-06213-4
  • #Irarrazaval I, Dussaillant A, Iribarren-Anacona P, Vivero S, Mariethoz G (2022). Monitoring Ice-Dynamics and Morphological Changes during Proglacial Lake Development at Exploradores Glacier, Patagonia. Frontiers in Earth Sciences, doi: 10.3389/feart.2022.791487.
  • #Oriani F, Treble P, Baker A, Mariethoz G (2022), WlCount: Geological lamination detection and counting using an image analysis approach, Computers & Geosciences 160: 105037, doi: 10.1016/j.cageo.2022.105037.


  • #Giaccone E, Tonini M, Oriani F, Lambiel C, Mariethoz G (2021). Using data-driven algorithms for semi-automated geomorphological mapping, Stochastic Environmental Research and Risk Assessment, doi: 10.1007/s00477-021-02062-5.
  • Caers J, Mariethoz G, Ortiz J (2021). Multiple Point Statistics. In: Earth Sciences Series. Encyclopedia of Mathematical Geosciences, Springer, doi: 10.1007/978-3-030-26050-7_24-1
  • Mariethoz G, Herman F, Dreiss A (2021), Reply to the comment by heyard et al. titled “imaginary carrot or effective fertiliser? a rejoinder on funding and productivity”, Scientometrics, 126(11): 9339-9342, doi: 10.1007/s11192-021-04131-6.
  • Cui Z, Chen Q, Liu G, Mariethoz G, Ma X (2021), Hybrid Parallel Framework for Multiple-point Geostatistics on Tianhe-2: A Robust Solution for Large-scale Simulation, Computers & Geosciences, 157(104923), doi: 157, 10.1016/j.cageo.2021.104923.
  • Nussbaumer R, Bauer S, Benoit L, Mariethoz G, Liechti F, Schmidt B (2021), Quantifying year-round nocturnal bird migration with a fluid dynamics model, Journal of The Royal Society Interface, 18(179): 20210194, doi: 10.1098/rsif.2021.0194.
  • Jiang Z, Mallants D, Gao L, Munday T, Mariethoz G, Peeters L (2021), Surf3DNet1.0: A deep learning model for regional-scale 3D subsurface structure mapping, Geoscientific Model Development, 14: 3421–3435, doi: 10.5194/gmd-14-3421-2021.
  • Thornton J, Mariethoz G, Brauchli T, Brunner P (in press), Efficient multi-objective calibration and uncertainty analysis of distributed snow simulations in rugged alpine terrain, Journal of Hydrology.
  • #Zakeri F, Mariethoz G (in press), A review of geostatistical simulation models applied to satellite remote sensing: methods and applications, Remote Sensing of Environment.
  • Bai H, Mariethoz G (in press), A Fast Edge-based Two Stage Direct Sampling Method, Computers & Geosciences.
  • Mariethoz G, Herman F, Dreiss A (2021), The imaginary carrot: no correlation between raising funds and research productivity in geosciences, Scientometrics, doi: 10.1007/s11192-020-03855-1.
  • Caers J, Mariethoz G, Ortiz J (in press). Multiple Point Statistics. In: Earth Sciences Series. Encyclopedia of Mathematical Geosciences, Springer.
  • Baker A, Mariethoz G, Comas-Bru L, Hartmann A, Frisia S, Borsato A, Treble P, Asrat A (2021), The properties of annually laminated stalagmites – a global synthesis, Reviews of Geophysics.
  • Baker A, Scheller M, Oriani F, Mariethoz G, Hartmann A, Wang Z, Cuthbert M (2021), Quantifying temporal variability and spatial heterogeneity in rainfall recharge thresholds in a montane karst environment, Journal of Hydrology, 594: 125965, doi: 10.1016/j.jhydrol.2021.125965.
  • Benoit, L. (2021). Radar and rain gauge data fusion based on disaggregation of radar imagery. Water Resources Research, 56, e2020WR027899.
  • #Irarrazaval I, Werder M, Huss M, Herman F, Mariethoz G (2021). Determining the evolution of an alpine glacier drainage system by solving inverse problems, Journal of Glaciology, doi:
  • #Benoit L, Lucas M, Tseng H, Huang Y.-F, Tsang Y.-P, Giambelluca T, Nugent A, Mariethoz G (2021), High space-time resolution observation of extreme orographic rain gradients in a Pacific Island catchment, Frontiers in Earth Science, 8:546246, doi: 10.3389/feart.2020.546246.


  • #Dembele M, Schaefli B, van de Giesen N, Mariethoz G (2020), Suitability of 17 rainfall and temperature gridded datasets for largescale hydrological modelling in West Africa, Hydrology and Earth System Sciences 24: 5379-5406, doi: 10.5194/hess-2020-68
  • #Bula J, Derron M, Mariethoz G (2020), Dense point cloud acquisition with a low-cost Velodyne VLP-16, Geoscientific Instrumentation, Methods and Data Systems, 9: 385-396, doi: 10.5194/gi-9-385-2020.
  • #Oriani F, Stisen S, Demirel M, Mariethoz G (2020), Missing data imputation for multisite rainfall networks: a comparison between geostatistical interpolation and pattern-based estimation on different terrain types, Journal of Hydrometeorology, 21(10): 2325-2341, doi: 10.1175/JHM-D-19-0220.1.
  • #Oriani F, McCabe M, Mariethoz G (2020). Downscaling Multispectral Satellite Images Without Co-Located High-Resolution Data: A Stochastic Approach Based on Training Images, IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3008015.
  • Dembele M, Ceperley N, Zwart S, Salvadore E, Mariethoz G, Schaefli B (2020). Potential of satellite and reanalysis evaporation datasets for hydrological modelling under various model calibration strategies, Advances in Water Resources, 143: 103667, doi: 10.1016/j.advwatres.2020.103667.
  • #Benoit L, Vrac M, Mariethoz G (2020), Non-stationary stochastic rain type generation: accounting for climate drivers, Hydrology and Earth System Sciences, 24(5): 2841-2854, doi: 10.5194/hess-24-2841-2020.
  • #Gravey M, Mariethoz G (2020), QuickSampling v1.0: a robust and simplified pixel-based multiple-point simulation approach, Geoscientific Model Development, 13(6): 2611–2630, doi: 10.5194/gmd-13-2611-2020.
  • Opitz T, Allard D, Mariethoz G (2020), Semi-parametric resampling with extremes, Spatial Statistics, doi:
  • Nussbaumer R, Mariethoz G, Gloaguen E, Holliger K (2020), Hydrogeophysical data integration through Bayesian Sequential Simulation with log-linear pooling, Geophysical Journal International 221(3):2184-2200, doi:
  • Abdollahifard M, Mariethoz G, Mohammadi H (2020), Investigating extreme scenarios with multiple-point geostatistics and variance maximization, Stochastic Environmental Research and Risk Assessment, 34:67-85, doi:
  • Guo Q, Li X, Hou B, Mariethoz G, Ye M, Yang W, Liu Z (2020). A Novel Image Reconstruction Strategy for ECT: Combining Two Algorithms with a Graph Cut Method, IEEE Transactions on Instrumentation & Measurement, 69(3): 804-814, doi: 10.1109/TIM.2019.2905282.
  • Dembele M, Hrachowitz M, Savenije H, Mariethoz G, Schaefli B (2020), Improving the predictive skill of a distributed hydrological model by calibration on spatial patterns with multiple satellite datasets, Water Resources Research, 56(1),e2019WR026085, doi: 10.1029/2019WR026085.
  • #Rasera L, Gravey M, Lane S, Mariethoz G (2020). Downscaling images with trends using multiple-point statistics simulation: An application to digital elevation models, Mathematical Geosciences, 52(2), pp. 145-187, doi:
  • Phelps L, Broennimann O, Manning K, Mariethoz G, Jousse H, Fordham D, Shanahan T, Davis B, Guisan A (2020), Reconstructing climatic niche breadth of land use for animal production during the African Holocene, Global Ecology and Biogeography, 29(1), pp. 127-147, doi:


  • #Baninajar E, Sharghi Y, Mariethoz G (2019), MPS-APO: A Rapid and Automatic Parameter Optimizer for Multiple-point Geostatistics, Stochastic Environmental Research and Risk Assessment, 33(11-12), pp. 1969-1989, doi:
  • Nussbaumer R, Benoit L, Mariethoz G, Liechti F, Bauer S, Schmid B (2019), A geostatistical approach to estimate high resolution nocturnal bird migration densities from a weather radar network, Remote Sensing, 11(19), 2233, doi:
  • Abdollahifard M, Mariethoz G, Ghavim M (2019), Quantitative evaluation of multiple-point simulations using image segmentation and texture descriptors, Computational Geosciences, 23(6), pp. 1349-1368, doi: 10.1007/s10596-019-09901-z.
  • Castilla J, Rojas R, Andersen M, Holley C, Mariethoz G (2019), Sustainable groundwater management: How long and what will it take?, Global Environmental Change, 58: 101972, doi:
  • Giaccone E, Luoto M, Vittoz P, Guisan A, Mariethoz G, Lambiel C (2019). Influence of microclimate and geomorphological factors on alpine vegetation in the Western Swiss Alps, Earth Surface Processes and Landforms, 44(15), pp. 3093-3107, doi:
  • Jiang Z, Mallants D, Peeters L, Gao M, Mariethoz G (2019). High-resolution palaeovalley classification from airborne electromagnetic imaging and deep neural network training using digital elevation model data, Hydrology and Earth System Sciences, 23, 2561–2580, doi:
  • #Irarrazaval I, Werder M, Linde N, Irving J, Herman F, Mariethoz G (in press). Bayesian inference of subglacial channel structures from water-pressure and tracer transit-time data: A numerical study based on a 2-D geostatistical modelling approach, Journal of Geophysical Research – Earth Surface, doi:
  • Nussbaumer R, Mariethoz G, Linde N, Holliger K (2019). Simulation of fine-scale electrical conductivity fields using resolution-limited tomograms and area-to-point kriging, Journal of Geophysical Research 218(2):1322-1335, doi:
  • Guo Q, Li X, Hou B, Mariethoz G, Ye M, Yang W, Liu Z (in press). A Novel Image Reconstruction Strategy for ECT: Combining Two Algorithms with a Graph Cut Method, IEEE Transactions on Instrumentation & Measurement, doi: 10.1109/TIM.2019.2905282.
  • #Benoit L, Gourdon A, Vallat R, Irarrazaval I, Gravey M, Lehmann B, Prasicek L, Gräff D, Herman F, Mariethoz G (2019). A high-frequency and high-resolution image time series of the Gornergletscher – Swiss Alps – derived from repeated UAV surveys, Earth System Science Data, 11: 579-588, doi: 10.5194/essd-11-579-2019.
  • Bruna P, Straubhaar J, Prabhakaran Rahul, Bertotti G, Bisdom K, Mariethoz G, Meda M (2019). A new methodology to train fracture network simulation using Multiple Point Statistics, Solid Earth, 10: 537-559, doi: 10.5194/se-2018-106.
  • Abdollahifard M, Beharvand, Mariethoz G, Efficient Training Image Selection for Multiple-Point Geostatistics via Analysis of Contours, Computers & Geosciences, 128: 41-50, doi: 10.1016/j.cageo.2019.04.004.
  • #Gravey M, Rasera L, Mariethoz G (2019). Analogue-based colorization of remote sensing images using textural information, ISPRS Journal of Photogrammetry and Remote Sensing, 147: 242-254, doi: 10.1016/j.isprsjprs.2018.11.003.
  • #Dembélé M, Oriani F, Tumbulto J, Mariethoz G, Schaefli B (2019). Gap-filling of daily streamflow time series using Direct Sampling in various hydroclimatic settings, Journal of Hydrology, 569: 573-586, doi: 10.1016/j.jhydrol.2018.11.076.
  • Chen Q, Mariethoz G, Liu G, Comunian A, Ma X (2019), Locality-based 3-D multiple-point statistics reconstruction using 2-D geological cross-sections, Hydrology and Earth System Sciences, 22: 6547-6566, doi: 10.5194/hess-2018-256.
  • Straubhaar J, Renard P, Mariethoz G, Chugunova T, Biver P (2019), 51:109-125. Fast and interactive edition of spatial models, Mathematical Geosciences, doi: 10.1007/s11004-018-9766-6.


  • #Benoit L, Vrac M, Mariethoz G, Dealing with non-stationarity in sub-daily stochastic rainfall models, Hydrology and Earth System Sciences, 22: 5919-5933, doi: 10.5194/hess-22-5919-2018.
  • Thornton J, Mariethoz G, Brunner P, A 3D geological model of a structurally complex Alpine region as a basis for interdisciplinary research, Scientific Data (Nature publishing), 5:180238, doi: 10.1038/sdata.2018.238.
  • Straubhaar J, Renard P, Mariethoz G, Chugunova T, Biver P, Fast and interactive edition of spatial models, Mathematical Geosciences (in press), doi: 10.1007/s11004-018-9766-6.
  • Asrat A, Baker A, Leng M, Hellstrom J, Mariethoz G, Boomer I, Yu D, Jex C, Gunn J (2018), High-resolution stalagmite evidence of paleoclimatic change in Ethiopia around the last interglacial, Quaternary Science Reviews (in press), doi: 10.1016/j.quascirev.2018.06.016.
  • Mariethoz G, When should we use multiple-point geostatistics?, In: Daya Sagar B., Cheng Q., Agterberg F. (eds), Handbook of Mathematical Geosciences, Springer, Cham, pp. 645-653.
  • #Benoit L, Allard D, Mariethoz G (2018). Stochastic rainfall modelling at sub-kilometer scale, Water Resources Research, 54: 4108-4130, doi: 10.1029/2018WR022817.
  • Mariethoz G, Karssenberg D, Grana D (2018), Who cares about impact factor?, Computers & Geosciences, 115(iii-iv), doi: 10.1016/S0098-3004(18)30374-1.
  • Jiang Z, Xu T, Mariethoz G (2018), Numerical investigation on the implications of spring temperature and discharge rate with respect to the geothermal background in a fault zone, Hydrogeology Journal, doi: 10.1007/s10040-018-1769-3, (in press, accepted 30/3/2018).
  • Chen Q, Liu G, Ma X, Mariethoz G, Tian Y, Weng Z (2018). Local curvature entropy-based 3D terrain representation using a comprehensive Quadtree, ISPRS Journal of Photogrammetry and Remote Sensing, 139, 30-45, doi: 10.1016/j.isprsjprs.2018.03.001.
  • Nussbaumer R, Gravey M, Mariethoz G, Gloaguen E, Holliger K (2018). Accelerating Sequential Gaussian Simulation with a constant path, Computers & Geosciences, 112: 121-132, doi: 10.1016/j.cageo.2017.12.006.
  • #Mahmud K, Mariethoz G, Baker A, Treble P (2018). Hydrological characterization of cave drip waters in a porous limestone: Golgotha Cave, Western Australia, Hydrology and Earth System Sciences, doi: 10.5194/hess-2017-127, 22, 977-988, doi: 10.5194/hess-2017-127.
  • Nussbaumer R, Mariethoz G, Gloaguen E, Holliger K (2018), Which path to choose in Sequential Gaussian Simulation?, Mathematical Geosciences, 50(97), doi: 10.1007/s11004-017-9699-5.


  • Oriani F, Ohana-Levi N, Marra F, Straubhaar J, Mariethoz G, Renard P, Karnieli A, Morin E (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.
  • #Castilla-Rho J, Rojas R, Andersen M, Holley C, Mariethoz G (2017). Unravelling tipping points in global groundwater management, Nature Human Behaviour, doi: 10.1038/s41562-017-0181-7. Featured article on cover and in editorial.
  • Mariethoz G, Pebesma E (2017). Nurturing a growing field: Computers & Geosciences, Computers & Geosciences (107), A1-A2, doi: 10.1016/j.cageo.2017.08.006.
  • Yin G, Mariethoz G, Sun Y, McCabe M (2017). Comparison of Gap-filling Approaches for Landsat-7 Satellite Data, International Journal of Remote Sensing, 38(23): 6653-6679. doi: 10.1080/01431161.2017.1363432.
  • Jeong C, Mukerji T, Mariethoz G (2017). A fast approximation for seismic inverse modeling: Adaptive Spatial Resampling, Mathematical Geosciences, 49(7), 845-869, doi: 10.1007/s11004-017-9693-y.
  • Achtziger-Zupan?i?, P, Loew S, Mariethoz G (2017). A new Global Data Base to Improve Predictions of Permeability Distribution in Crystalline Rocks at Site Scale, Journal of Geophysical Research – Solid Earth, 122, 3513–3539, doi: 10.1002/2017JB014106.
  • Oriani F, Mehrotra R, Mariethoz G, Straubhaar J, Sharma A, Renard P (2017). Simulating rainfall time-series: how to account for statistical variability at multiple scales, Stochastic Environmental Research and Risk Assessment, doi: 10.1007/s00477-017-1414-z.
  • Koch J, Mendiguren G, Mariethoz G, Stisen S (2017). Spatial sensitivity analysis of simulated land-surface patterns in a catchment model using a set of innovative spatial performance metrics. Journal of Hydrometeorology 18(4), 1121–1142, doi: 10.1175/JHM-D-16-0148.1.
  • Pirot G, Linde N, Mariethoz G, Bradford J (2017). Probabilistic Inversion with Graph Cuts: Application to the Boise Hydrogeophysical Research Site. Water Resources Research, 53(2), doi: 10.1002/2016WR019347.
  • #Benoit L, Mariethoz G (2017). A review of geostatistical methods for rainfall modeling. WIRES Water, 4(2), e1199, doi: 10.1002/wat2.1199.
  • Yin G, McCabe M, Mariethoz G (2017). Gap-filling of Landsat 7 imagery using the Direct Sampling method. Remote Sensing 9(1), 12, doi:10.3390/rs9010012.


  • Oriani F, Borghi A, Straubhaar J, Mariethoz G, Renard P (2016). Missing data simulation inside flow rate time-series using multiple-point statistics. Environmental Modelling and Software 86, 264-276, doi: 10.1016/j.envsoft.2016.10.002.
  • Achtziger-Zupan?i? P, Loew S, Hiller A, Mariethoz G (2016). 3D Fluid Flow in Fault Zones of Crystalline Basement Rocks (Poehla-Tellerhaeuser Ore Field, Ore Mountains, Germany). Geofluids 16(4), 688–710, doi: 1111/gfl.12192.
  • Hasan M, Sharma A, Johnson F, Mariethoz G, Seed A (2016). Merging radar and in-situ rainfall measurements: an assessment of different combination algorithms. Water Resources Research 52(10), 8384–8398, doi:10.1002/2015WR018441.
  • Hasan M, Sharma A, Johnson F, Mariethoz G, Seed A (2016). Improving radar rainfall estimation by merging point rainfall measurements within a model combination framework. Advances in Water Resources 97, 205-218, doi: 10.1016/j.advwatres.2016.09.011.
  • #Li X, Mariethoz G, DeTang L, Linde N (2016). Patch-based iterative geostatistical simulation using graph cuts. Water Resources Research 52, 6297–6320, doi:10.1002/2015WR018378.
  • Bai H, Ge, Y, Mariethoz G (2016). Utilizing spatial association analysis to determine the number of multiple grids for multiple-point statistics, Spatial Statistics 17(83-104), doi: 10.1016/j.spasta.2016.06.003.
  • Jiang Z, Mariethoz G, Schrank C, Cox M, Timms W (2016). Mapping the hydraulic connection between coalbed and the adjacent aquifer: an example of coal seam gas resource area, north Galilee Basin, Australia. Hydrogeology Journal 24(8), 2143-2155, doi: 10.1007/s10040-016-1447-2.
  • Jiménez S, Mariethoz G, Brauchler R, Bayer P (2016). Smart pilot points using reversible-jump Markov-chain Monte Carlo, Water Resources Research, doi: 10.1002/2015WR017922.
  • Jiang Z, Mariethoz G, Raiber M, Cox M, Timms W (2016). Application of 1D paleo-fluvial process modeling at a basin-scale to augment sparse borehole data: example of a Permian formation in the Galilee Basin, Australia. Hydrological Processes, doi: 10.1002/hyp.10747.
  • Abdollahifard M, Mariethoz G, Pourfard M (2016). Improving In-Situ Data Acquisition Using Training Images and a Bayesian Mixture Model. Computers & Geosciences 91, 49-63, doi: 10.1016/j.cageo.2016.03.009.
  • Laloy E, Linde N, Jacques D, Mariethoz G (2016). Merging parallel tempering with sequential geostatistical resampling for improved posterior exploration of high-dimensional subsurface categorical fields. Advances in Water Resources 90, 57-69, doi:10.1016/j.advwatres.2016.02.008.
  • Straubhaar J, Renard P, Mariethoz G (2016). Conditioning multiple-point statistics simulations to block data. Spatial Statistics 16, 53-71, doi: 10.1016/j.spasta.2016.02.005.
  • Zahner T, Lochbühler T, Mariethoz G, Linde N (2016). Image Synthesis with Graph Cuts: A Fast Model Proposal Mechanism in Probabilistic Inversion. Geophysical Journal International 204, 1179-1190, doi: 10.1093/gji/ggv517.
  • #Mahmud K, Mariethoz G, Baker A, Treble P, Markowska M, McGuire L (2016). Estimation of deep infiltration in unsaturated limestone environments using cave lidar and drip count data, Hydrology and Earth System Sciences 20, 359-373, doi:10.5194/hess-20-359-2016.
  • Markowska M, Baker A, Jex C, Graham P, Cuthbert M, Rau G, Andersen M, Rutlidge H, Marjo C, Mariethoz G, Treble P, Edwards N (2016). Semi-arid zone caves: Evaporation and hydrological controls on ?18O drip water composition and implications for speleothem paleoclimate reconstructions. Quaternary Science Reviews 131(B) 285-301, doi:10.1016/j.quascirev.2015.10.024.
  • Jones M, Cuthbert M, Leng M, McGowan S, Mariethoz G, Arrowsmith C, Sloane H, Humphrey K, Cross, I (2016). Comparisons of observed and modelled lake ?18O variability, Quaternary Science Reviews 131(B) 329-340, doi:10.1016/j.quascirev.2015.09.012.


  • #Castilla-Rho J, Mariethoz G, Rojas R, Andersen M, Kelly B (2015). FlowLogo: An agent-based platform for simulating complex human-aquifer interactions in managed groundwater systems, Environmental Modelling & Software 73, 305-323, doi: 10.1016/j.envsoft.2015.08.018.
  • #Jha S, Mariethoz G, Mathews G, Vial J, Kelly BFJ (2015), Influence of Alluvial Morphology on Upscaled Hydraulic Conductivity, Groundwater, doi: 10.1111/gwat.12378.
  • #Jha S, Mariethoz G, Evans J, McCabe M, Sharma A (2015). A space and time scale-dependent nonlinear geostatistical approach for downscaling daily precipitation and temperature. Water Resources Research 51(8), 6244-6261, doi: 10.1002/2014WR016729.
  • Mariethoz G, Straubhaar J, Renard P, Chugunova T, Biver P (2015), Constraining distance-based multipoint simulations to proportions and trends. Environmental Modelling & Software 72, 184-197, doi:10.1016/j.envsoft.2015.07.007.
  • Mariethoz G, Linde N, Jougnot D, Rezaee H (2015). Feature-preserving interpolation and filtering of environmental time series. Environmental Modelling & Software, 72, 71-76, doi: 10.1016/j.envsoft.2015.07.001.
  • #Mahmud K, Mariethoz G, Treble P, Baker A (2015), Terrestrial Lidar Survey and Morphological Analysis to Identify Infiltration Properties in the Tamala Limestone, Western Australia, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi: 10.1109/JSTARS.2015.2451088.
  • Bayer P, Comunian A, Höyng D, Mariethoz G (2015), Three-dimensional multi-facies realizations of sedimentary reservoir and aquifer analogs. Scientific Data (Nature publishing), 2(150033), doi:10.1038/sdata.2015.33.
  • Baker A, Hellstrom J, Kelly B, Mariethoz G, Trouet V (2015), A composite annual-resolution stalagmite record of North Atlantic climate over the last three millennia. Scientific Reports (Nature publishing), 5(10307), doi:10.1038/srep10307.
  • Jiang Z, Mariethoz G, Farrell T, Schrank C, Cox M (2015), Characterization of alluvial formation by stochastic modelling of paleo-fluvial processes: the concept and method. Journal of Hydrology 524, 367-377, doi: 1016/j.jhydrol.2015.03.007.
  • #Mahmud K, Mariethoz G, Baker A, Sharma A (2015), Integrating Multiple Scales of Hydraulic Conductivity Measurements in Training Image-Based Stochastic Models. Water Resources Research 50, 3088-3107, doi: 10.1002/2014WR016150.


  • #Jha S, Comunian A, Mariethoz G, Kelly BFJ (2014). Parameterization of training images for aquifer 3D facies modeling integrating geological interpretations and statistical inference. Water Resources Research 50(10), 7731-7749, doi: 10.1002/2013WR014949.
  • Hasan M, Sharma A, Johnson F, Mariethoz G, Seed A (2014). Correcting bias in radar Z-R relationships due to uncertainty in point raingauge networks, Journal of Hydrology 519B(1668-1676), doi: 10.1016/j.jhydrol.2014.09.060.
  • Oriani F, Straubhaar J, Renard P, Mariethoz G (2014). Simulation of rainfall time-series from different climatic regions using the Direct Sampling technique, Hydrology Earth System Science 11(3), 3213-3247, doi:10.5194/hessd-11-3213-2014.
  • #Pérez C, Mariethoz G, Ortiz J (2014). Verifying the high-order consistency of training images with data for multiple-point geostatistics, Computers & Geosciences 70, 190-205, doi: 10.1016/j.cageo.2014.06.001.
  • Cuthbert M, Rau G, Andersen M, Roshan H, Rutlidge H, Marjo C, Markowska M, Jex C, Graham P, Mariethoz G, Acworth I, Baker A (2014). Evaporative cooling of speleothem drip water, Scientific Reports (Nature publishing) 4, 5162, doi:10.1038/srep05162.
  • #Mahmud K, Mariethoz G, Caers J, Tahmasebi P, Baker A (2014). Simulation of Earth textures by Conditional Image Quilting, Water Resources Research 50(4), p. 3088-3107, doi: 10.1002/2013WR015069.
  • Mariethoz G, Comunian A, Irarrazaval I, Renard P (2014). Analog-based meandering river simulation, Water Resources Research 50(2), p. 836-854, doi: 10.1002/2013WR013730.
  • Rutlidge H, Baker A, Marjo C, Andersen M, Graham P, Cuthbert M, Rau G, Roshan H, Markowska M, Mariethoz G, Jex C (2014). Dripwater organic matter and trace element geochemistry in a semi-arid karst environment: implications for speleothem paleoclimatology, Geochimica et Cosmochimica Acta 135, p.217-230, doi: 10.1016/j.gca.2014.03.036.
  • Mariethoz G, Lefebvre S (2014). Bridges between multiple-point geostatistics and texture synthesis, Computers & Geosciences 66, p. 66-80, doi: 10.1016/j.cageo.2014.01.001.
  • Mariethoz G, Renard P (2014), Special Issue on 20 Years of Multiple-Point Statistics: Part 2, Mathematical Geosciences 46(5), p. 517-518.
  • Renard P, Mariethoz G (2014), Special Issue on 20 Years of Multiple-Point Statistics: Part 1, Mathematical Geosciences 46(2), p. 129-131.
  • Comunian A, Jha S, Giambastiani B, Mariethoz G, Kelly B (2014). Training images from process-imitating methods, Mathematical Geosciences 46(2), p. 241-260.
  • #Castilla-Rho J, Mariethoz G, Andersen M, Kelly BFJ (2014). Stochastic reconstruction of paleovalley bedrock morphology from sparse datasets, Environmental Modelling & Software, 53, p. 35-52, doi: 10.1016/j.envsoft.2013.10.025.
  • Meerschman E, van Meirvenne M, Mariethoz G, Islam M, De Smedt P, Van de Vijver E, Saey T (2014). Using bivariate multiple-point statistics and proximal soil sensor data to map fossil ice-wedge polygons, Geoderma 213, p.571-577, doi: 10.1016/j.geoderma.2013.01.016.
  • Tahmasebi P, Mariethoz G (2014). Geostatistics Applications in Hydrology. In: Handbook of Engineering Hydrology: Modeling, Climate Change, and Variability, pp 277-296, Taylor & Francis, ISBN 9781466552463.


  • #Jha S, Mariethoz G, Kelly BFJ (2013). Bathymetry fusion using multiple-point geostatistics: novelty and challenges in representing non-stationary bedforms, Environmental Modelling & Software 50, p.66-76, doi: 10.1016/j.envsoft.2013.09.001.
  • Jiang Z, Mariethoz G, Taulis M, Cox M (2013). Determination of vertical hydraulic conductivity of aquitards in a multilayered leaky system using water-level signals in adjacent aquifers, Journal of Hydrology 500, p.170-182, doi: 10.1016/j.jhydrol.2013.07.030.
  • Bertoncello A, Sun T, Li H, Mariethoz G, Caers J (2013). Conditioning a surface-based model to wells and thickness data, Mathematical Geosciences 45(7), 873-893, doi: 10.1007/s11004-013-9455-4.
  • Ershadi A, McCabe M, Evans J, Mariethoz G, Kavetski D (2013). A Bayesian analysis of sensible heat flux estimation: quantifying uncertainty in meteorological forcing to improve model prediction, Water Resources Research 49(5), 2343-2358, doi: 10.1002/wrcr.20231.
  • Jiang Z, Schrank C, Mariethoz G, Cox M (2013). Permeability estimation conditioned to geophysical downhole log data in sandstones of the northern Galilee Basin, Queensland: methods and application, Journal of Applied Geophysics 93, 43-51, doi: 10.1016/j.jappgeo.2013.03.008.
  • #Jha S, Mariethoz G, Evans J, McCabe M (2013). Demonstration of a geostatistical approach to physically-consistent downscaling of climate modeling simulations, Water Resources Research 49(1), 245-259, doi:10.1029/2012WR012602. Featured article
  • #Rezaee H, Mariethoz G, Koneshloo M, Asghari O (2013). Multiple-point geostatistical simulation using the bunch-pasting direct sampling method, Computers & Geosciences 52, 293-308, doi: 10.1016/j.cageo.2013.01.020.
  • Meerschman E, Pirot G, Mariethoz G, Straubhaar J, Van Merivenne M, Renard P (2013). A Practical Guide to Performing Multiple-Point Geostatistical Simulations with the Direct Sampling Algorithm, Computers & Geosciences 52, 307-324, doi: 10.1016/j.cageo.2012.09.019.


  • Mariethoz G, Baker A, Sivakumar B, Hartland A, Graham P (2012). Chaos and irregularity in karst percolation, Geophysical Research Letters 39(L23305), doi:10.1029/2012GL054270.
  • Mariethoz G, McCabe M, Renard P (2012). Spatiotemporal reconstruction of gaps in multivariate fields using the direct sampling approach. Water Resources Research 48(W10507), doi:10.1029/2012WR012115.
  • Tahmasebi P, Sahimi M, Mariethoz G, Hezarkhani A (2012). Accelerating Geostatistical Simulations using Graphical Processing Units, Computers & Geosciences 46, 51-59.
  • Jex C, Mariethoz G, Baker A, Graham P, Andersen M, Acworth I, Edwards N, Azcurra C (2012). Spatially dense drip hydrological monitoring at the Wellington Caves, South East Australia, International Journal of Speleology 41(2), 285-298.
  • Mariethoz G, Kelly B, Baker A (2012). Quantifying the value of laminated stalagmites for paleoclimate reconstructions, Geophysical Research Letters, 39(L05407), doi:10.1029/2012GL050986.


  • Mariethoz G, Renard P, Straubhaar J (2011). Extrapolating the fractal characteristics of an image using scale-invariant multiple-point statistics. Mathematical Geosciences 43, 783-797, doi: 10.1007/s11004-011-9362-5.
  • Renard P, Straubhaar J, Caers J, Mariethoz G (2011). Conditioning facies simulations with connectivity data. Mathematical Geosciences, 43, 879-903, doi: 10.1007/s11004-011-9363-4.
  • Mariethoz G, Kelly B (2011). Modeling complex geological structures with elementary training images and transform-invariant distances. Water Resources Research, 47(W07527), doi: 10.1029/2011WR010412.
  • Straubhaar J, Renard P, Mariethoz G, Froidevaux R, Besson O (2011). An improved parallel multiple-point algorithm using a list approach. Mathematical Geosciences 43(3) 305-328, doi:1007/s11004-011-9328-7.


  • Mariethoz G, Renard P, Straubhaar J (2010). The Direct Sampling method to perform multiple-point geostatistical simulations. Water resources Research 46(W11536), doi:10.1029/2008WR007621.
  • Mariethoz G, Renard P, Caers J (2010). Bayesian inverse problem and optimization with Iterative Spatial Resampling. Water resources Research, 46(W11530), doi:10.1029/2010WR009274.
  • Fernandez-Martinez J, Garcia Gonzalo E, Fernandez Muñiz Z, Mariethoz G, Mukerji T (2010). Posterior Sampling using Particle Swarm Optimizers and model reduction techniques. International Journal of Applied Evolutionary Computation 1(3), 27-48, doi: 10.4018/jaec.2010070102.
  • Mariethoz G (2010). A general parallelization strategy for random path based geostatistical simulation methods, Computers & Geosciences 36(7) 953-958, doi: 1016/j.cageo.2009.11.001.
  • Mariethoz G, Renard P (2010). Reconstruction of incomplete data sets or images using direct sampling, Mathematical Geosciences 42(3) 245-268, doi: 1007/s11004-010-9270-0.


  • Mariethoz G, Renard P, Froidevaux R (2009). Integrating auxiliary parameters in geostatistical simulations using probability aggregation. Water Resources Research 45(W08421), doi:10.1029/2008WR007408.
  • Mariethoz G, Renard P, Cornaton F, Jaquet O (2009). Truncated plurigaussian simulations to characterize aquifer heterogeneity. Groundwater 47(1), 13-24, doi: 10.1111/j.1745-6584.2008.00489.x.
  • Alcolea A, Renard P, Mariethoz G, Bertone F (2009). Reducing the impact of a desalination plant using stochastic modeling and optimization techniques. Journal of Hydrology 365(3-4), 275-288, doi:10.1016/j.jhydrol.2008.11.034.


  • Mariethoz G, Renard P, Straubhaar J (2010), Method for generating simulated parameter fields in simulation grid for predicting oil reservoir, involves attributing value of node in training data that has same spatial relationship with node of matching data set, international patent registered in 183 countries. WO2010057505. Assignee: University of Neuchatel (CH).
  • Straubhaar J, Mariethoz G, Renard P (2009), Modeling method for building statistic models of geological reservoirs involves performing statistical simulation based on data stored in list to build model representing distribution of facies in underground structure, international patent registered in 184 countries. WO2009138290. Assignee:Ephesia Consult SA (CH).